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March 11, 2026 21:56
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Solution draft log for https://github.com/xlabtg/TONAIAgent/pull/209
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| # Solve.mjs Log - 2026-03-11T21:41:35.979Z | |
| [2026-03-11T21:41:35.980Z] [INFO] 📁 Log file: /home/hive/solve-2026-03-11T21-41-35-979Z.log | |
| [2026-03-11T21:41:35.981Z] [INFO] (All output will be logged here) | |
| [2026-03-11T21:41:36.518Z] [INFO] | |
| [2026-03-11T21:41:36.519Z] [INFO] 🚀 solve v1.30.4 | |
| [2026-03-11T21:41:36.520Z] [INFO] 🔧 Raw command executed: | |
| [2026-03-11T21:41:36.520Z] [INFO] /home/hive/.nvm/versions/node/v20.20.1/bin/node /home/hive/.bun/bin/solve https://github.com/xlabtg/TONAIAgent/issues/202 --model opus --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --auto-restart-until-mergeable --tokens-budget-stats | |
| [2026-03-11T21:41:36.520Z] [INFO] | |
| [2026-03-11T21:41:36.538Z] [INFO] | |
| [2026-03-11T21:41:36.539Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-03-11T21:41:36.539Z] [INFO] | |
| [2026-03-11T21:41:36.539Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-03-11T21:41:36.540Z] [INFO] The log may contain sensitive information such as: | |
| [2026-03-11T21:41:36.540Z] [INFO] • API keys, tokens, or secrets | |
| [2026-03-11T21:41:36.540Z] [INFO] • File paths and directory structures | |
| [2026-03-11T21:41:36.540Z] [INFO] • Command outputs and error messages | |
| [2026-03-11T21:41:36.541Z] [INFO] • Internal system information | |
| [2026-03-11T21:41:36.541Z] [INFO] | |
| [2026-03-11T21:41:36.541Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-03-11T21:41:36.541Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-03-11T21:41:36.541Z] [INFO] | |
| [2026-03-11T21:41:36.542Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-03-11T21:41:36.543Z] [INFO] | |
| [2026-03-11T21:41:41.549Z] [INFO] | |
| [2026-03-11T21:41:41.571Z] [INFO] 💾 Disk space check: 40955MB available (2048MB required) ✅ | |
| [2026-03-11T21:41:41.572Z] [INFO] 🧠 Memory check: 10659MB available, swap: none, total: 10659MB (256MB required) ✅ | |
| [2026-03-11T21:41:41.592Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-03-11T21:41:41.593Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-03-11T21:41:41.593Z] [INFO] 📋 URL validation: | |
| [2026-03-11T21:41:41.594Z] [INFO] Input URL: https://github.com/xlabtg/TONAIAgent/issues/202 | |
| [2026-03-11T21:41:41.594Z] [INFO] Is Issue URL: true | |
| [2026-03-11T21:41:41.594Z] [INFO] Is PR URL: false | |
| [2026-03-11T21:41:41.594Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-03-11T21:41:42.215Z] [INFO] Repository visibility: public | |
| [2026-03-11T21:41:42.216Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode | |
| [2026-03-11T21:41:42.217Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled) | |
| [2026-03-11T21:41:42.511Z] [INFO] Repository visibility: public | |
| [2026-03-11T21:41:42.511Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-03-11T21:41:42.512Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #202... | |
| [2026-03-11T21:41:43.125Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/xlabtg-TONAIAgent... | |
| [2026-03-11T21:41:44.515Z] [INFO] 📝 No existing PRs found for issue #202 - creating new PR | |
| [2026-03-11T21:41:44.516Z] [INFO] 📝 Issue mode: Working with issue #202 | |
| [2026-03-11T21:41:44.517Z] [INFO] | |
| Creating temporary directory: /tmp/gh-issue-solver-1773265304517 | |
| [2026-03-11T21:41:44.519Z] [INFO] | |
| 🍴 Fork mode: ENABLED | |
| [2026-03-11T21:41:44.519Z] [INFO] Checking fork status... | |
| [2026-03-11T21:41:44.815Z] [INFO] 🔍 Detecting fork conflicts... | |
| [2026-03-11T21:41:45.776Z] [INFO] ✅ No fork conflict: Safe to proceed | |
| [2026-03-11T21:41:46.113Z] [INFO] ✅ Fork exists: konard/xlabtg-TONAIAgent | |
| [2026-03-11T21:41:46.114Z] [INFO] 🔍 Validating fork parent... | |
| [2026-03-11T21:41:46.440Z] [INFO] ✅ Fork parent validated: xlabtg/TONAIAgent | |
| [2026-03-11T21:41:46.441Z] [INFO] | |
| 📥 Cloning repository: konard/xlabtg-TONAIAgent | |
| [2026-03-11T21:41:48.616Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1773265304517 | |
| [2026-03-11T21:41:48.627Z] [INFO] 🔗 Setting upstream: xlabtg/TONAIAgent | |
| [2026-03-11T21:41:48.636Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote | |
| [2026-03-11T21:41:48.636Z] [INFO] 🔄 Fetching upstream... | |
| [2026-03-11T21:41:49.041Z] [INFO] ✅ Upstream fetched: Successfully | |
| [2026-03-11T21:41:49.042Z] [INFO] 🔄 Syncing default branch... | |
| [2026-03-11T21:41:49.401Z] [INFO] ℹ️ Default branch: main | |
| [2026-03-11T21:41:49.535Z] [INFO] ✅ Default branch synced: with upstream/main | |
| [2026-03-11T21:41:49.535Z] [INFO] 🔄 Pushing to fork: main branch | |
| [2026-03-11T21:41:50.448Z] [INFO] ✅ Fork updated: Default branch pushed to fork | |
| [2026-03-11T21:41:50.516Z] [INFO] | |
| 📌 Default branch: main | |
| [2026-03-11T21:41:50.539Z] [INFO] | |
| 🌿 Creating branch: issue-202-328d8f885cb5 from main (default) | |
| [2026-03-11T21:41:50.561Z] [INFO] 🔍 Verifying: Branch creation... | |
| [2026-03-11T21:41:50.571Z] [INFO] ✅ Branch created: issue-202-328d8f885cb5 | |
| [2026-03-11T21:41:50.572Z] [INFO] ✅ Current branch: issue-202-328d8f885cb5 | |
| [2026-03-11T21:41:50.572Z] [INFO] Branch operation: Create new branch | |
| [2026-03-11T21:41:50.572Z] [INFO] Branch verification: Matches expected | |
| [2026-03-11T21:41:50.576Z] [INFO] | |
| 🚀 Auto PR creation: ENABLED | |
| [2026-03-11T21:41:50.577Z] [INFO] Creating: Initial commit and draft PR... | |
| [2026-03-11T21:41:50.577Z] [INFO] | |
| [2026-03-11T21:41:50.577Z] [INFO] Using .gitkeep mode (--claude-file=false, --gitkeep-file=true, --auto-gitkeep-file=true) | |
| [2026-03-11T21:41:50.577Z] [INFO] 📝 Creating: .gitkeep (default) | |
| [2026-03-11T21:41:50.579Z] [INFO] Issue URL from argv['issue-url']: https://github.com/xlabtg/TONAIAgent/issues/202 | |
| [2026-03-11T21:41:50.579Z] [INFO] Issue URL from argv._[0]: undefined | |
| [2026-03-11T21:41:50.579Z] [INFO] Final issue URL: https://github.com/xlabtg/TONAIAgent/issues/202 | |
| [2026-03-11T21:41:50.580Z] [INFO] ✅ File created: .gitkeep | |
| [2026-03-11T21:41:50.580Z] [INFO] 📦 Adding file: To git staging | |
| [2026-03-11T21:41:50.615Z] [INFO] Git status after add: A .gitkeep | |
| [2026-03-11T21:41:50.616Z] [INFO] 📝 Creating commit: With .gitkeep file | |
| [2026-03-11T21:41:50.642Z] [INFO] ✅ Commit created: Successfully with .gitkeep | |
| [2026-03-11T21:41:50.643Z] [INFO] Commit output: [issue-202-328d8f885cb5 bc94bbf] Initial commit with task details | |
| 1 file changed, 1 insertion(+) | |
| create mode 100644 .gitkeep | |
| [2026-03-11T21:41:50.653Z] [INFO] Commit hash: bc94bbf... | |
| [2026-03-11T21:41:50.665Z] [INFO] Latest commit: bc94bbf Initial commit with task details | |
| [2026-03-11T21:41:50.691Z] [INFO] Git status: clean | |
| [2026-03-11T21:41:50.701Z] [INFO] Remotes: origin https://github.com/konard/xlabtg-TONAIAgent.git (fetch) | |
| [2026-03-11T21:41:50.712Z] [INFO] Branch info: * issue-202-328d8f885cb5 bc94bbf [origin/main: ahead 1] Initial commit with task details | |
| main 8663334 [origin/main] Merge pull request #208 from konard/issue-201-500e2def2ebb | |
| [2026-03-11T21:41:50.713Z] [INFO] 📤 Pushing branch: To remote repository... | |
| [2026-03-11T21:41:50.713Z] [INFO] Push command: git push -u origin issue-202-328d8f885cb5 | |
| [2026-03-11T21:41:51.507Z] [INFO] Push exit code: 0 | |
| [2026-03-11T21:41:51.508Z] [INFO] Push output: remote: | |
| remote: Create a pull request for 'issue-202-328d8f885cb5' on GitHub by visiting: | |
| remote: https://github.com/konard/xlabtg-TONAIAgent/pull/new/issue-202-328d8f885cb5 | |
| remote: | |
| To https://github.com/konard/xlabtg-TONAIAgent.git | |
| * [new branch] issue-202-328d8f885cb5 -> issue-202-328d8f885cb5 | |
| branch 'issue-202-328d8f885cb5' set up to track 'origin/issue-202-328d8f885cb5'. | |
| [2026-03-11T21:41:51.508Z] [INFO] ✅ Branch pushed: Successfully to remote | |
| [2026-03-11T21:41:51.508Z] [INFO] Push output: remote: | |
| remote: Create a pull request for 'issue-202-328d8f885cb5' on GitHub by visiting: | |
| remote: https://github.com/konard/xlabtg-TONAIAgent/pull/new/issue-202-328d8f885cb5 | |
| remote: | |
| To https://github.com/konard/xlabtg-TONAIAgent.git | |
| * [new branch] issue-202-328d8f885cb5 -> issue-202-328d8f885cb5 | |
| branch 'issue-202-328d8f885cb5' set up to track 'origin/issue-202-328d8f885cb5'. | |
| [2026-03-11T21:41:51.508Z] [INFO] Waiting for GitHub to sync... | |
| [2026-03-11T21:41:53.999Z] [INFO] Compare API check: 1 commit(s) ahead of main | |
| [2026-03-11T21:41:54.000Z] [INFO] GitHub compare API ready: 1 commit(s) found | |
| [2026-03-11T21:41:54.297Z] [INFO] Branch verified on GitHub: issue-202-328d8f885cb5 | |
| [2026-03-11T21:41:54.923Z] [INFO] Remote commit SHA: bc94bbf... | |
| [2026-03-11T21:41:54.924Z] [INFO] 📋 Getting issue: Title from GitHub... | |
| [2026-03-11T21:41:55.195Z] [INFO] Issue title: "🚀 Issue #202 — Strategy Backtesting Engine" | |
| [2026-03-11T21:41:55.196Z] [INFO] 👤 Getting user: Current GitHub account... | |
| [2026-03-11T21:41:55.476Z] [INFO] Current user: konard | |
| [2026-03-11T21:41:55.719Z] [INFO] User is not a collaborator (will skip assignment) | |
| [2026-03-11T21:41:55.720Z] [INFO] User is not a collaborator (will skip assignment) | |
| [2026-03-11T21:41:55.720Z] [INFO] 🔄 Fetching: Latest main branch... | |
| [2026-03-11T21:41:56.124Z] [INFO] ✅ Base updated: Fetched latest main | |
| [2026-03-11T21:41:56.124Z] [INFO] 🔍 Checking: Commits between branches... | |
| [2026-03-11T21:41:56.135Z] [INFO] Commits ahead of origin/main: 1 | |
| [2026-03-11T21:41:56.135Z] [INFO] ✅ Commits found: 1 commit(s) ahead | |
| [2026-03-11T21:41:56.137Z] [INFO] 🔀 Creating PR: Draft pull request... | |
| [2026-03-11T21:41:56.137Z] [INFO] 🎯 Target branch: main (default) | |
| [2026-03-11T21:41:56.137Z] [INFO] PR Title: [WIP] 🚀 Issue #202 — Strategy Backtesting Engine | |
| [2026-03-11T21:41:56.137Z] [INFO] Base branch: main | |
| [2026-03-11T21:41:56.138Z] [INFO] Head branch: issue-202-328d8f885cb5 | |
| [2026-03-11T21:41:56.138Z] [INFO] Assignee: konard | |
| [2026-03-11T21:41:56.138Z] [INFO] PR Body: | |
| ## 🤖 AI-Powered Solution Draft | |
| This pull request is being automatically generated to solve issue xlabtg/TONAIAgent#202. | |
| ### 📋 Issue Reference | |
| Fixes xlabtg/TONAIAgent#202 | |
| ### 🚧 Status | |
| **Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft. | |
| ### 📝 Implementation Details | |
| _Details will be added as the solution draft is developed..._ | |
| --- | |
| *This PR was created automatically by the AI issue solver* | |
| [2026-03-11T21:41:56.139Z] [INFO] Command: cd "/tmp/gh-issue-solver-1773265304517" && gh pr create --draft --title "$(cat '/tmp/pr-title-1773265316139.txt')" --body-file "/tmp/pr-body-1773265316138.md" --base main --head konard:issue-202-328d8f885cb5 --repo xlabtg/TONAIAgent | |
| [2026-03-11T21:41:58.437Z] [INFO] 🔍 Verifying: PR creation... | |
| [2026-03-11T21:41:58.730Z] [INFO] ✅ Verification: PR exists on GitHub | |
| [2026-03-11T21:41:58.731Z] [INFO] ✅ PR created: #209 | |
| [2026-03-11T21:41:58.731Z] [INFO] 📍 PR URL: https://github.com/xlabtg/TONAIAgent/pull/209 | |
| [2026-03-11T21:41:58.731Z] [INFO] ℹ️ Note: Could not assign (no permission) | |
| [2026-03-11T21:41:58.731Z] [INFO] 🔗 Linking: Issue #202 to PR #209... | |
| [2026-03-11T21:41:59.064Z] [INFO] Issue node ID: I_kwDORO-adM7yBZK9 | |
| [2026-03-11T21:41:59.393Z] [INFO] PR node ID: PR_kwDORO-adM7J2Cyp | |
| [2026-03-11T21:41:59.715Z] [INFO] | |
| [2026-03-11T21:41:59.716Z] [WARNING] ⚠️ ISSUE LINK MISSING: PR not linked to issue | |
| [2026-03-11T21:41:59.717Z] [INFO] | |
| [2026-03-11T21:41:59.717Z] [WARNING] The PR was created from a fork but wasn't linked to the issue. | |
| [2026-03-11T21:41:59.718Z] [WARNING] Expected: "Fixes xlabtg/TONAIAgent#202" in PR body | |
| [2026-03-11T21:41:59.718Z] [INFO] | |
| [2026-03-11T21:41:59.718Z] [WARNING] To fix manually: | |
| [2026-03-11T21:41:59.718Z] [WARNING] 1. Edit the PR description at: https://github.com/xlabtg/TONAIAgent/pull/209 | |
| [2026-03-11T21:41:59.719Z] [WARNING] 2. Add this line: Fixes xlabtg/TONAIAgent#202 | |
| [2026-03-11T21:41:59.719Z] [INFO] | |
| [2026-03-11T21:42:00.044Z] [INFO] 👤 Current user: konard | |
| [2026-03-11T21:42:00.044Z] [INFO] | |
| 📊 Comment counting conditions: | |
| [2026-03-11T21:42:00.045Z] [INFO] prNumber: 209 | |
| [2026-03-11T21:42:00.046Z] [INFO] branchName: issue-202-328d8f885cb5 | |
| [2026-03-11T21:42:00.046Z] [INFO] isContinueMode: false | |
| [2026-03-11T21:42:00.048Z] [INFO] Will count comments: true | |
| [2026-03-11T21:42:00.049Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-03-11T21:42:00.050Z] [INFO] PR #209 on branch: issue-202-328d8f885cb5 | |
| [2026-03-11T21:42:00.051Z] [INFO] Owner/Repo: xlabtg/TONAIAgent | |
| [2026-03-11T21:42:00.409Z] [INFO] 📅 Last commit time (from API): 2026-03-11T21:41:50.000Z | |
| [2026-03-11T21:42:01.267Z] [INFO] 💬 New PR comments: 0 | |
| [2026-03-11T21:42:01.268Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-03-11T21:42:01.269Z] [INFO] 💬 New issue comments: 0 | |
| [2026-03-11T21:42:01.270Z] [INFO] Total new comments: 0 | |
| [2026-03-11T21:42:01.270Z] [INFO] Comment lines to add: No (saving tokens) | |
| [2026-03-11T21:42:01.271Z] [INFO] PR review comments fetched: 0 | |
| [2026-03-11T21:42:01.271Z] [INFO] PR conversation comments fetched: 0 | |
| [2026-03-11T21:42:01.271Z] [INFO] Total PR comments checked: 0 | |
| [2026-03-11T21:42:04.187Z] [INFO] Feedback info will be added to prompt: | |
| [2026-03-11T21:42:04.188Z] [INFO] - Pull request description was edited after last commit | |
| [2026-03-11T21:42:04.188Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-03-11T21:42:04.499Z] [INFO] 📝 Issue updated: 2026-03-11T20:17:48.000Z | |
| [2026-03-11T21:42:04.768Z] [INFO] 💬 Comments: None found | |
| [2026-03-11T21:42:05.137Z] [INFO] 🔀 Recent PR: 2026-03-11T21:41:57.000Z | |
| [2026-03-11T21:42:05.138Z] [INFO] | |
| ✅ Reference time: 2026-03-11T21:41:57.000Z | |
| [2026-03-11T21:42:05.139Z] [INFO] | |
| 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-03-11T21:42:05.161Z] [INFO] ✅ No uncommitted changes found | |
| [2026-03-11T21:42:05.442Z] [INFO] 📦 Fork workflows detected: https://github.com/konard/xlabtg-TONAIAgent/actions?query=branch%3Aissue-202-328d8f885cb5 | |
| [2026-03-11T21:42:06.882Z] [INFO] ℹ️ Playwright MCP not detected - browser automation hints will be disabled | |
| [2026-03-11T21:42:07.792Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-03-11T21:42:07.793Z] [INFO] | |
| 📝 Final prompt structure: | |
| [2026-03-11T21:42:07.793Z] [INFO] Characters: 479 | |
| [2026-03-11T21:42:07.794Z] [INFO] System prompt characters: 11895 | |
| [2026-03-11T21:42:07.794Z] [INFO] Feedback info: Included | |
| [2026-03-11T21:42:07.796Z] [INFO] | |
| 🤖 Executing Claude: OPUS | |
| [2026-03-11T21:42:07.796Z] [INFO] Model: opus | |
| [2026-03-11T21:42:07.796Z] [INFO] Working directory: /tmp/gh-issue-solver-1773265304517 | |
| [2026-03-11T21:42:07.797Z] [INFO] Branch: issue-202-328d8f885cb5 | |
| [2026-03-11T21:42:07.797Z] [INFO] Prompt length: 479 chars | |
| [2026-03-11T21:42:07.797Z] [INFO] System prompt length: 11895 chars | |
| [2026-03-11T21:42:07.797Z] [INFO] Feedback info included: Yes (1 lines) | |
| [2026-03-11T21:42:07.816Z] [INFO] 📈 System resources before execution: | |
| [2026-03-11T21:42:07.817Z] [INFO] Memory: MemFree: 6413508 kB | |
| [2026-03-11T21:42:07.817Z] [INFO] Load: 0.71 0.46 0.39 1/363 124233 | |
| [2026-03-11T21:42:07.818Z] [INFO] | |
| 📝 Raw command: | |
| [2026-03-11T21:42:07.818Z] [INFO] (cd "/tmp/gh-issue-solver-1773265304517" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-4-5-20251101 -p "Issue to solve: https://github.com/xlabtg/TONAIAgent/issues/202 | |
| Your prepared branch: issue-202-328d8f885cb5 | |
| Your prepared working directory: /tmp/gh-issue-solver-1773265304517 | |
| Your prepared Pull Request: https://github.com/xlabtg/TONAIAgent/pull/209 | |
| Your forked repository: konard/xlabtg-TONAIAgent | |
| Original repository (upstream): xlabtg/TONAIAgent | |
| GitHub Actions on your fork: https://github.com/konard/xlabtg-TONAIAgent/actions?query=branch%3Aissue-202-328d8f885cb5 | |
| Proceed. | |
| " --append-system-prompt "You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo xlabtg/TONAIAgent --branch issue-202-328d8f885cb5 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo xlabtg/TONAIAgent --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder. | |
| - When your experiments can show real world use case of the software, add it to ./examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's \"Not Found\" pages saved as .png) can cause \"Could not process image\" errors and will crash the AI solver process. If the file command shows \"HTML\", \"text\", or \"ASCII text\", the download FAILED — do NOT call Read on this file. Instead: (1) For images from GitHub issues/PRs (URLs containing \"github.com/user-attachments\"), these require authentication — retry with: curl -L -H \"Authorization: token \$(gh auth token)\" -o <filename> \"<url>\" (2) If retry still fails, skip the image and note it was unavailable. | |
| - When you need issue details, use gh issue view https://github.com/xlabtg/TONAIAgent/issues/202. | |
| - When you need related code, use gh search code --owner xlabtg [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/xlabtg/TONAIAgent/pulls/209/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/xlabtg/TONAIAgent/issues/209/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/xlabtg/TONAIAgent/pulls/209/reviews --paginate | |
| IMPORTANT: The command \"gh pr view --json comments\" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/xlabtg/TONAIAgent/issues/202/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 209 --body \"your message\" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo xlabtg/TONAIAgent --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 209, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 209. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-202-328d8f885cb5. | |
| - When you finish, create a pull request from branch issue-202-328d8f885cb5. (Note: PR 209 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-202-328d8f885cb5. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 209 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Visual UI work and screenshots. | |
| - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/xlabtg/TONAIAgent/blob/issue-202-328d8f885cb5/docs/screenshots/result.png?raw=true). | |
| - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image." | jq -c .) | |
| [2026-03-11T21:42:07.820Z] [INFO] | |
| [2026-03-11T21:42:07.821Z] [INFO] 📋 User prompt: | |
| [2026-03-11T21:42:07.821Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-03-11T21:42:07.822Z] [INFO] Issue to solve: https://github.com/xlabtg/TONAIAgent/issues/202 | |
| Your prepared branch: issue-202-328d8f885cb5 | |
| Your prepared working directory: /tmp/gh-issue-solver-1773265304517 | |
| Your prepared Pull Request: https://github.com/xlabtg/TONAIAgent/pull/209 | |
| Your forked repository: konard/xlabtg-TONAIAgent | |
| Original repository (upstream): xlabtg/TONAIAgent | |
| GitHub Actions on your fork: https://github.com/konard/xlabtg-TONAIAgent/actions?query=branch%3Aissue-202-328d8f885cb5 | |
| Proceed. | |
| [2026-03-11T21:42:07.822Z] [INFO] ---END USER PROMPT--- | |
| [2026-03-11T21:42:07.822Z] [INFO] 📋 System prompt: | |
| [2026-03-11T21:42:07.823Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-03-11T21:42:07.823Z] [INFO] You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo xlabtg/TONAIAgent --branch issue-202-328d8f885cb5 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo xlabtg/TONAIAgent --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder. | |
| - When your experiments can show real world use case of the software, add it to ./examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, download the image to a local file first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's "Not Found" pages saved as .png) can cause "Could not process image" errors and will crash the AI solver process. If the file command shows "HTML", "text", or "ASCII text", the download FAILED — do NOT call Read on this file. Instead: (1) For images from GitHub issues/PRs (URLs containing "github.com/user-attachments"), these require authentication — retry with: curl -L -H "Authorization: token $(gh auth token)" -o <filename> "<url>" (2) If retry still fails, skip the image and note it was unavailable. | |
| - When you need issue details, use gh issue view https://github.com/xlabtg/TONAIAgent/issues/202. | |
| - When you need related code, use gh search code --owner xlabtg [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/xlabtg/TONAIAgent/pulls/209/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/xlabtg/TONAIAgent/issues/209/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/xlabtg/TONAIAgent/pulls/209/reviews --paginate | |
| IMPORTANT: The command "gh pr view --json comments" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/xlabtg/TONAIAgent/issues/202/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 209 --body "your message" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo xlabtg/TONAIAgent --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 209, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 209. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-202-328d8f885cb5. | |
| - When you finish, create a pull request from branch issue-202-328d8f885cb5. (Note: PR 209 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-202-328d8f885cb5. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 209 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Visual UI work and screenshots. | |
| - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| - When you save screenshots to the repository, use permanent links in the pull request description markdown (e.g., https://github.com/xlabtg/TONAIAgent/blob/issue-202-328d8f885cb5/docs/screenshots/result.png?raw=true). | |
| - When uploading images, commit them to the branch first, then reference them using the GitHub blob URL format with ?raw=true suffix (works for both public and private repositories). | |
| - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
| [2026-03-11T21:42:07.824Z] [INFO] ---END SYSTEM PROMPT--- | |
| [2026-03-11T21:42:07.827Z] [INFO] 📊 CLAUDE_CODE_MAX_OUTPUT_TOKENS: 64000 | |
| [2026-03-11T21:42:07.827Z] [INFO] 📊 MCP_TIMEOUT: 900000ms (server startup) | |
| [2026-03-11T21:42:07.827Z] [INFO] 📊 MCP_TOOL_TIMEOUT: 900000ms (tool execution) | |
| [2026-03-11T21:42:07.827Z] [INFO] 📊 ANTHROPIC_LOG: debug (verbose mode) | |
| [2026-03-11T21:42:07.828Z] [INFO] 📋 Command details: | |
| [2026-03-11T21:42:07.828Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1773265304517 | |
| [2026-03-11T21:42:07.828Z] [INFO] 🌿 Branch: issue-202-328d8f885cb5 | |
| [2026-03-11T21:42:07.828Z] [INFO] 🤖 Model: Claude OPUS | |
| [2026-03-11T21:42:07.828Z] [INFO] 🍴 Fork: konard/xlabtg-TONAIAgent | |
| [2026-03-11T21:42:07.828Z] [INFO] | |
| ▶️ Streaming output: | |
| [2026-03-11T21:42:09.351Z] [INFO] { | |
| "type": "system", | |
| "subtype": "init", | |
| "cwd": "/tmp/gh-issue-solver-1773265304517", | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "tools": [ | |
| "Task", | |
| "TaskOutput", | |
| "Bash", | |
| "Glob", | |
| "Grep", | |
| "ExitPlanMode", | |
| "Read", | |
| "Edit", | |
| "Write", | |
| "NotebookEdit", | |
| "WebFetch", | |
| "TodoWrite", | |
| "WebSearch", | |
| "TaskStop", | |
| "AskUserQuestion", | |
| "Skill", | |
| "EnterPlanMode", | |
| "EnterWorktree", | |
| "ExitWorktree", | |
| "CronCreate", | |
| "CronDelete", | |
| "CronList", | |
| "ToolSearch" | |
| ], | |
| "mcp_servers": [ | |
| { | |
| "name": "claude.ai Google Calendar", | |
| "status": "needs-auth" | |
| }, | |
| { | |
| "name": "claude.ai Gmail", | |
| "status": "needs-auth" | |
| } | |
| ], | |
| "model": "claude-opus-4-5-20251101", | |
| "permissionMode": "bypassPermissions", | |
| "slash_commands": [ | |
| "keybindings-help", | |
| "debug", | |
| "simplify", | |
| "batch", | |
| "loop", | |
| "claude-api", | |
| "compact", | |
| "context", | |
| "cost", | |
| "heapdump", | |
| "init", | |
| "pr-comments", | |
| "release-notes", | |
| "review", | |
| "security-review", | |
| "extra-usage", | |
| "insights" | |
| ], | |
| "apiKeySource": "none", | |
| "claude_code_version": "2.1.72", | |
| "output_style": "default", | |
| "agents": [ | |
| "general-purpose", | |
| "statusline-setup", | |
| "Explore", | |
| "Plan" | |
| ], | |
| "skills": [ | |
| "keybindings-help", | |
| "debug", | |
| "simplify", | |
| "batch", | |
| "loop", | |
| "claude-api" | |
| ], | |
| "plugins": [], | |
| "uuid": "9da9f416-ddd9-4710-a160-11f3c944091b", | |
| "fast_mode_state": "off" | |
| } | |
| [2026-03-11T21:42:09.352Z] [INFO] 📌 Session ID: 84e7c275-a540-43ac-a23c-d81714a35651 | |
| [2026-03-11T21:42:09.352Z] [INFO] 📁 Log renamed to: /home/hive/84e7c275-a540-43ac-a23c-d81714a35651.log | |
| [2026-03-11T21:42:09.370Z] [INFO] [log_23bf89] sending request { | |
| [2026-03-11T21:42:09.370Z] [INFO] method: 'post', | |
| [2026-03-11T21:42:09.371Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:42:09.371Z] [INFO] options: { | |
| [2026-03-11T21:42:09.371Z] [INFO] method: 'post', | |
| [2026-03-11T21:42:09.371Z] [INFO] path: '/v1/messages?beta=true', | |
| [2026-03-11T21:42:09.371Z] [INFO] body: { | |
| [2026-03-11T21:42:09.372Z] [INFO] model: 'claude-opus-4-5-20251101', | |
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| "content": "title:\t🚀 Issue #202 — Strategy Backtesting Engine\nstate:\tOPEN\nauthor:\txlabtg\nlabels:\t\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t202\n--\n## 🧠 Context\n\nWith the introduction of the **Strategy Marketplace**:\n\n* **#201 — Strategy Marketplace MVP**\n\nusers and developers can now publish and deploy strategies.\n\nHowever, before deploying a strategy, users must be able to **evaluate its historical performance**.\n\nProfessional trading platforms always provide **backtesting tools** that allow strategies to be tested against historical market data.\n\nThis issue introduces a **Strategy Backtesting Engine** that enables developers and users to simulate strategy performance before running it in live or simulated trading environments.\n\n---\n\n# 🎯 Objective\n\nImplement a **historical backtesting system** that allows strategies to be evaluated using past market data.\n\nUsers should be able to:\n\n```text\nselect a strategy\nchoose asset\nchoose timeframe\nrun backtest\nanalyze results\n```\n\nThis will significantly increase **confidence in strategies**.\n\n---\n\n# 🧠 Backtesting Engine Overview\n\nThe backtesting engine simulates how a strategy would have performed in the past.\n\nCore components:\n\n```text\nhistorical market data\nstrategy execution engine\nportfolio simulation\nperformance analytics\n```\n\nWorkflow:\n\n```text\nhistorical data\n↓\nstrategy execution\n↓\ntrade simulation\n↓\nportfolio update\n↓\nperformance metrics\n```\n\n---\n\n# 📊 Historical Market Data\n\nThe engine must support historical price data.\n\nRequired data types:\n\n```text\nOHLCV candles\ntimestamp\nvolume\nprice data\n```\n\nSupported timeframes:\n\n```text\n1m\n5m\n15m\n1h\n4h\n1d\n```\n\nPossible data sources:\n\n```text\nBinance API\nCoinGecko\nDEX data feeds\nlocal historical datasets\n```\n\nHistorical data should be stored in a structured format.\n\nExample:\n\n```json\n{\n \"timestamp\": 1680000000,\n \"open\": 28000,\n \"high\": 28200,\n \"low\": 27850,\n \"close\": 28120,\n \"volume\": 1500\n}\n```\n\n---\n\n# 🧠 Strategy Execution Simulation\n\nThe backtesting engine must run strategies against historical data.\n\nExample flow:\n\n```text\nload historical candles\n↓\nrun strategy logic\n↓\ngenerate signals\n↓\nsimulate trades\n```\n\nSignals:\n\n```text\nBUY\nSELL\nHOLD\n```\n\n---\n\n# 💼 Portfolio Simulation\n\nThe engine must simulate portfolio behavior.\n\nFeatures:\n\n```text\nposition opening\nposition closing\nposition sizing\nportfolio value tracking\n```\n\nExample:\n\n```text\ninitial capital: $10,000\ntrade execution\nportfolio update\n```\n\n---\n\n# 📈 Performance Metrics\n\nBacktest results should include detailed metrics.\n\nRequired metrics:\n\n```text\ntotal ROI\nmax drawdown\nwin rate\ntrade count\nprofit factor\nSharpe ratio (optional)\n```\n\nExample output:\n\n```text\nStrategy: Momentum Trader\nPeriod: Jan–Jun 2024\n\nROI: +18.4%\nTrades: 132\nWin Rate: 61%\nMax Drawdown: -7.2%\n```\n\n---\n\n# 📊 Visualization\n\nResults should be visualized.\n\nCharts may include:\n\n```text\nequity curve\ntrade markers\nprofit distribution\ndrawdown chart\n```\n\nThis helps users understand strategy behavior.\n\n---\n\n# 🧪 Backtest Configuration\n\nUsers should be able to configure backtests.\n\nParameters:\n\n```text\ninitial capital\ntrading pair\ntimeframe\nstart date\nend date\n```\n\nExample:\n\n```text\nAsset: BTC/USDT\nPeriod: Jan 2023 → Jan 2024\nCapital: $10,000\n```\n\n---\n\n# 📱 Mini App Integration\n\nThe Telegram Mini App should support launching backtests.\n\nExample workflow:\n\n```text\nOpen Strategy\n↓\nRun Backtest\n↓\nChoose settings\n↓\nView results\n```\n\nBacktest results should appear in the strategy page.\n\n---\n\n# 🧑💻 Developer Integration\n\nStrategy developers should be able to run backtests locally.\n\nExample CLI command:\n\n```bash\nnpm run backtest momentum BTCUSDT 2023-01-01 2024-01-01\n```\n\nThis improves the **developer workflow**.\n\n---\n\n# 📦 Deliverables\n\nImplementation should include:\n\n```text\nhistorical data module\nbacktesting engine\nportfolio simulation\nperformance analytics\nbacktest API\nMini App integration\n```\n\nSuggested modules:\n\n```text\nsrc/backtesting/\nsrc/marketdata/history/\nsrc/analytics/\n```\n\n---\n\n# 🧪 Testing Requirements\n\nEnsure that:\n\n```text\nstrategies execute correctly\ntrade simulation is accurate\nmetrics calculations are correct\nlarge datasets are processed efficiently\n```\n\nAlso test:\n\n```text\nmultiple strategies\ndifferent timeframes\nlong backtesting periods\n```\n\n---\n\n# 📘 README Update\n\nAdd a section:\n\n```text\nStrategy Backtesting\n```\n\nExplain:\n\n```text\nhow backtesting works\nhow to run backtests\nhow to interpret results\n```\n\nInclude examples.\n\n---\n\n# 📈 Success Criteria\n\nThe backtesting engine is successful when:\n\n```text\nstrategies can be tested historically\nmetrics are calculated correctly\nusers can evaluate strategies before deploying them\n```\n\n---\n\n# 🌍 Strategic Impact\n\nBacktesting dramatically increases **platform credibility**.\n\nIt enables:\n\n```text\nserious strategy development\ndata-driven strategy evaluation\nhigher-quality strategies in the marketplace\n```\n\nThis moves the platform closer to a **professional trading infrastructure**.", | |
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| "stdout": "title:\t🚀 Issue #202 — Strategy Backtesting Engine\nstate:\tOPEN\nauthor:\txlabtg\nlabels:\t\ncomments:\t0\nassignees:\t\nprojects:\t\nmilestone:\t\nnumber:\t202\n--\n## 🧠 Context\n\nWith the introduction of the **Strategy Marketplace**:\n\n* **#201 — Strategy Marketplace MVP**\n\nusers and developers can now publish and deploy strategies.\n\nHowever, before deploying a strategy, users must be able to **evaluate its historical performance**.\n\nProfessional trading platforms always provide **backtesting tools** that allow strategies to be tested against historical market data.\n\nThis issue introduces a **Strategy Backtesting Engine** that enables developers and users to simulate strategy performance before running it in live or simulated trading environments.\n\n---\n\n# 🎯 Objective\n\nImplement a **historical backtesting system** that allows strategies to be evaluated using past market data.\n\nUsers should be able to:\n\n```text\nselect a strategy\nchoose asset\nchoose timeframe\nrun backtest\nanalyze results\n```\n\nThis will significantly increase **confidence in strategies**.\n\n---\n\n# 🧠 Backtesting Engine Overview\n\nThe backtesting engine simulates how a strategy would have performed in the past.\n\nCore components:\n\n```text\nhistorical market data\nstrategy execution engine\nportfolio simulation\nperformance analytics\n```\n\nWorkflow:\n\n```text\nhistorical data\n↓\nstrategy execution\n↓\ntrade simulation\n↓\nportfolio update\n↓\nperformance metrics\n```\n\n---\n\n# 📊 Historical Market Data\n\nThe engine must support historical price data.\n\nRequired data types:\n\n```text\nOHLCV candles\ntimestamp\nvolume\nprice data\n```\n\nSupported timeframes:\n\n```text\n1m\n5m\n15m\n1h\n4h\n1d\n```\n\nPossible data sources:\n\n```text\nBinance API\nCoinGecko\nDEX data feeds\nlocal historical datasets\n```\n\nHistorical data should be stored in a structured format.\n\nExample:\n\n```json\n{\n \"timestamp\": 1680000000,\n \"open\": 28000,\n \"high\": 28200,\n \"low\": 27850,\n \"close\": 28120,\n \"volume\": 1500\n}\n```\n\n---\n\n# 🧠 Strategy Execution Simulation\n\nThe backtesting engine must run strategies against historical data.\n\nExample flow:\n\n```text\nload historical candles\n↓\nrun strategy logic\n↓\ngenerate signals\n↓\nsimulate trades\n```\n\nSignals:\n\n```text\nBUY\nSELL\nHOLD\n```\n\n---\n\n# 💼 Portfolio Simulation\n\nThe engine must simulate portfolio behavior.\n\nFeatures:\n\n```text\nposition opening\nposition closing\nposition sizing\nportfolio value tracking\n```\n\nExample:\n\n```text\ninitial capital: $10,000\ntrade execution\nportfolio update\n```\n\n---\n\n# 📈 Performance Metrics\n\nBacktest results should include detailed metrics.\n\nRequired metrics:\n\n```text\ntotal ROI\nmax drawdown\nwin rate\ntrade count\nprofit factor\nSharpe ratio (optional)\n```\n\nExample output:\n\n```text\nStrategy: Momentum Trader\nPeriod: Jan–Jun 2024\n\nROI: +18.4%\nTrades: 132\nWin Rate: 61%\nMax Drawdown: -7.2%\n```\n\n---\n\n# 📊 Visualization\n\nResults should be visualized.\n\nCharts may include:\n\n```text\nequity curve\ntrade markers\nprofit distribution\ndrawdown chart\n```\n\nThis helps users understand strategy behavior.\n\n---\n\n# 🧪 Backtest Configuration\n\nUsers should be able to configure backtests.\n\nParameters:\n\n```text\ninitial capital\ntrading pair\ntimeframe\nstart date\nend date\n```\n\nExample:\n\n```text\nAsset: BTC/USDT\nPeriod: Jan 2023 → Jan 2024\nCapital: $10,000\n```\n\n---\n\n# 📱 Mini App Integration\n\nThe Telegram Mini App should support launching backtests.\n\nExample workflow:\n\n```text\nOpen Strategy\n↓\nRun Backtest\n↓\nChoose settings\n↓\nView results\n```\n\nBacktest results should appear in the strategy page.\n\n---\n\n# 🧑💻 Developer Integration\n\nStrategy developers should be able to run backtests locally.\n\nExample CLI command:\n\n```bash\nnpm run backtest momentum BTCUSDT 2023-01-01 2024-01-01\n```\n\nThis improves the **developer workflow**.\n\n---\n\n# 📦 Deliverables\n\nImplementation should include:\n\n```text\nhistorical data module\nbacktesting engine\nportfolio simulation\nperformance analytics\nbacktest API\nMini App integration\n```\n\nSuggested modules:\n\n```text\nsrc/backtesting/\nsrc/marketdata/history/\nsrc/analytics/\n```\n\n---\n\n# 🧪 Testing Requirements\n\nEnsure that:\n\n```text\nstrategies execute correctly\ntrade simulation is accurate\nmetrics calculations are correct\nlarge datasets are processed efficiently\n```\n\nAlso test:\n\n```text\nmultiple strategies\ndifferent timeframes\nlong backtesting periods\n```\n\n---\n\n# 📘 README Update\n\nAdd a section:\n\n```text\nStrategy Backtesting\n```\n\nExplain:\n\n```text\nhow backtesting works\nhow to run backtests\nhow to interpret results\n```\n\nInclude examples.\n\n---\n\n# 📈 Success Criteria\n\nThe backtesting engine is successful when:\n\n```text\nstrategies can be tested historically\nmetrics are calculated correctly\nusers can evaluate strategies before deploying them\n```\n\n---\n\n# 🌍 Strategic Impact\n\nBacktesting dramatically increases **platform credibility**.\n\nIt enables:\n\n```text\nserious strategy development\ndata-driven strategy evaluation\nhigher-quality strategies in the marketplace\n```\n\nThis moves the platform closer to a **professional trading infrastructure**.", | |
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| [2026-03-11T21:42:18.607Z] [INFO] vary: 'Accept-Encoding', | |
| [2026-03-11T21:42:18.607Z] [INFO] 'x-robots-tag': 'none', | |
| [2026-03-11T21:42:18.607Z] [INFO] 'content-security-policy': "default-src 'none'; frame-ancestors 'none'", | |
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| "content": " 1→/**\n 2→ * TONAIAgent - Strategy Marketplace MVP\n 3→ *\n 4→ * Unified integration layer that connects:\n 5→ * - Strategy Engine (trading strategies)\n 6→ * - Marketplace (discovery, deployment, reputation)\n 7→ * - Agent Runtime (execution)\n 8→ *\n 9→ * This module provides:\n 10→ * - Pre-registered marketplace strategies\n 11→ * - Strategy metadata for marketplace listing\n 12→ * - Strategy deployment to agents\n 13→ * - Performance tracking integration\n 14→ *\n 15→ * @example\n 16→ * ```typescript\n 17→ * import {\n 18→ * createStrategyMarketplace,\n 19→ * MarketplaceStrategyType,\n 20→ * } from '@tonaiagent/core/strategy-marketplace';\n 21→ *\n 22→ * const marketplace = createStrategyMarketplace();\n 23→ *\n 24→ * // List available strategies\n 25→ * const strategies = await marketplace.listStrategies();\n 26→ *\n 27→ * // Deploy a strategy to an agent\n 28→ * const agent = await marketplace.deployStrategy({\n 29→ * strategyId: 'momentum-trader',\n 30→ * userId: 'user_123',\n 31→ * capitalTON: 100,\n 32→ * simulationMode: true,\n 33→ * });\n 34→ * ```\n 35→ */\n 36→\n 37→// ============================================================================\n 38→// Types\n 39→// ============================================================================\n 40→\n 41→export type MarketplaceStrategyCategory =\n 42→ | 'momentum'\n 43→ | 'mean_reversion'\n 44→ | 'arbitrage'\n 45→ | 'grid_trading'\n 46→ | 'yield_farming'\n 47→ | 'trend_following'\n 48→ | 'experimental';\n 49→\n 50→export type MarketplaceRiskLevel = 'low' | 'medium' | 'high';\n 51→\n 52→/**\n 53→ * Strategy metadata for marketplace listing\n 54→ */\n 55→export interface MarketplaceStrategyListing {\n 56→ /** Unique strategy ID */\n 57→ id: string;\n 58→ /** Display name */\n 59→ name: string;\n 60→ /** Strategy description */\n 61→ description: string;\n 62→ /** Strategy author/creator */\n 63→ author: string;\n 64→ /** Author ID */\n 65→ authorId: string;\n 66→ /** Strategy category for filtering */\n 67→ category: MarketplaceStrategyCategory;\n 68→ /** Risk level assessment */\n 69→ riskLevel: MarketplaceRiskLevel;\n 70→ /** Assets this strategy supports */\n 71→ supportedAssets: string[];\n 72→ /** Semantic version */\n 73→ version: string;\n 74→ /** Whether the strategy is verified */\n 75→ verified: boolean;\n 76→ /** 30-day ROI percentage */\n 77→ roi30d: number;\n 78→ /** Win rate percentage */\n 79→ winRate: number;\n 80→ /** Total trades executed */\n 81→ totalTrades: number;\n 82→ /** Maximum drawdown percentage */\n 83→ maxDrawdown: number;\n 84→ /** Sharpe ratio */\n 85→ sharpeRatio: number;\n 86→ /** Reputation score (0-10) */\n 87→ reputationScore: number;\n 88→ /** Number of active users */\n 89→ activeUsers: number;\n 90→ /** Minimum capital requirement in TON */\n 91→ minCapital: number;\n 92→ /** When the strategy was published */\n 93→ publishedAt: Date;\n 94→ /** Tags for search */\n 95→ tags: string[];\n 96→}\n 97→\n 98→/**\n 99→ * Input for deploying a strategy\n 100→ */\n 101→export interface DeployMarketplaceStrategyInput {\n 102→ /** Strategy ID to deploy */\n 103→ strategyId: string;\n 104→ /** User deploying the strategy */\n 105→ userId: string;\n 106→ /** Capital to allocate in TON */\n 107→ capitalTON: number;\n 108→ /** Whether to run in simulation mode */\n 109→ simulationMode?: boolean;\n 110→ /** Custom agent name */\n 111→ agentName?: string;\n 112→ /** Custom strategy parameters */\n 113→ parameters?: Record<string, unknown>;\n 114→}\n 115→\n 116→/**\n 117→ * Deployed strategy agent result\n 118→ */\n 119→export interface MarketplaceDeployedAgent {\n 120→ /** Unique agent ID */\n 121→ agentId: string;\n 122→ /** Strategy ID being executed */\n 123→ strategyId: string;\n 124→ /** Strategy name */\n 125→ strategyName: string;\n 126→ /** Owner user ID */\n 127→ userId: string;\n 128→ /** Agent name */\n 129→ name: string;\n 130→ /** Allocated capital in TON */\n 131→ capitalAllocated: number;\n 132→ /** Whether running in simulation */\n 133→ simulationMode: boolean;\n 134→ /** Agent status */\n 135→ status: 'running' | 'paused' | 'stopped' | 'error';\n 136→ /** When deployed */\n 137→ deployedAt: Date;\n 138→}\n 139→\n 140→/**\n 141→ * Filter options for listing strategies\n 142→ */\n 143→export interface MarketplaceStrategyFilter {\n 144→ /** Filter by category */\n 145→ category?: MarketplaceStrategyCategory;\n 146→ /** Filter by risk level */\n 147→ riskLevel?: MarketplaceRiskLevel;\n 148→ /** Filter by minimum ROI */\n 149→ minRoi?: number;\n 150→ /** Filter by maximum drawdown */\n 151→ maxDrawdown?: number;\n 152→ /** Text search query */\n 153→ search?: string;\n 154→ /** Sort field */\n 155→ sortBy?: 'roi' | 'sharpe' | 'popularity' | 'newest';\n 156→ /** Sort order */\n 157→ sortOrder?: 'asc' | 'desc';\n 158→ /** Limit results */\n 159→ limit?: number;\n 160→ /** Offset for pagination */\n 161→ offset?: number;\n 162→}\n 163→\n 164→/**\n 165→ * Strategy Marketplace interface\n 166→ */\n 167→export interface StrategyMarketplace {\n 168→ /** List available strategies with optional filters */\n 169→ listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]>;\n 170→ /** Get a specific strategy by ID */\n 171→ getStrategy(strategyId: string): Promise<MarketplaceStrategyListing | null>;\n 172→ /** Get top strategies by a metric */\n 173→ getTopStrategies(\n 174→ metric: 'roi' | 'sharpe' | 'popularity',\n 175→ limit?: number\n 176→ ): Promise<MarketplaceStrategyListing[]>;\n 177→ /** Deploy a strategy to create an agent */\n 178→ deployStrategy(input: DeployMarketplaceStrategyInput): Promise<MarketplaceDeployedAgent>;\n 179→ /** Stop a deployed agent */\n 180→ stopAgent(agentId: string): Promise<void>;\n 181→ /** Get deployed agents for a user */\n 182→ getUserAgents(userId: string): Promise<MarketplaceDeployedAgent[]>;\n 183→}\n 184→\n 185→// ============================================================================\n 186→// Built-in Marketplace Strategies\n 187→// ============================================================================\n 188→\n 189→/**\n 190→ * Pre-configured marketplace strategies\n 191→ * These represent the initial strategies available in the marketplace MVP\n 192→ */\n 193→const BUILTIN_STRATEGIES: MarketplaceStrategyListing[] = [\n 194→ {\n 195→ id: 'momentum-trader',\n 196→ name: 'Momentum Trader',\n 197→ description:\n 198→ 'Captures short-term price momentum using moving average crossovers and volume confirmation. ' +\n 199→ 'Ideal for trending markets with clear directional moves.',\n 200→ author: 'TONAIAgent',\n 201→ authorId: 'platform',\n 202→ category: 'momentum',\n 203→ riskLevel: 'medium',\n 204→ supportedAssets: ['TON', 'BTC', 'ETH'],\n 205→ version: '1.0.0',\n 206→ verified: true,\n 207→ roi30d: 8.2,\n 208→ winRate: 68.5,\n 209→ totalTrades: 124,\n 210→ maxDrawdown: 5.8,\n 211→ sharpeRatio: 1.82,\n 212→ reputationScore: 8.7,\n 213→ activeUsers: 342,\n 214→ minCapital: 10,\n 215→ publishedAt: new Date('2026-02-15T10:30:00Z'),\n 216→ tags: ['momentum', 'trend', 'moving-average', 'beginner-friendly'],\n 217→ },\n 218→ {\n 219→ id: 'mean-reversion-pro',\n 220→ name: 'Mean Reversion Pro',\n 221→ description:\n 222→ 'Exploits price mean reversion patterns using statistical analysis and Bollinger Bands. ' +\n 223→ 'Best for range-bound markets with predictable oscillations.',\n 224→ author: 'QuantLab',\n 225→ authorId: 'creator_quantlab',\n 226→ category: 'mean_reversion',\n 227→ riskLevel: 'low',\n 228→ supportedAssets: ['TON', 'BTC', 'ETH'],\n 229→ version: '2.1.0',\n 230→ verified: true,\n 231→ roi30d: 5.4,\n 232→ winRate: 72.1,\n 233→ totalTrades: 89,\n 234→ maxDrawdown: 3.2,\n 235→ sharpeRatio: 2.14,\n 236→ reputationScore: 9.1,\n 237→ activeUsers: 518,\n 238→ minCapital: 50,\n 239→ publishedAt: new Date('2026-01-20T08:15:00Z'),\n 240→ tags: ['mean-reversion', 'bollinger', 'low-risk', 'statistical'],\n 241→ },\n 242→ {\n 243→ id: 'dex-arbitrage-hunter',\n 244→ name: 'DEX Arbitrage Hunter',\n 245→ description:\n 246→ 'Identifies and executes arbitrage opportunities across TON DEX protocols (STON.fi, DeDust). ' +\n 247→ 'Requires quick execution and higher capital for profitability.',\n 248→ author: 'ArbitrageKing',\n 249→ authorId: 'creator_arbking',\n 250→ category: 'arbitrage',\n 251→ riskLevel: 'high',\n 252→ supportedAssets: ['TON', 'USDT', 'USDC'],\n 253→ version: '1.2.0',\n 254→ verified: true,\n 255→ roi30d: 12.7,\n 256→ winRate: 61.3,\n 257→ totalTrades: 456,\n 258→ maxDrawdown: 8.5,\n 259→ sharpeRatio: 1.45,\n 260→ reputationScore: 7.8,\n 261→ activeUsers: 156,\n 262→ minCapital: 100,\n 263→ publishedAt: new Date('2026-02-01T14:45:00Z'),\n 264→ tags: ['arbitrage', 'dex', 'high-frequency', 'advanced'],\n 265→ },\n 266→ {\n 267→ id: 'grid-trading-bot',\n 268→ name: 'Grid Trading Bot',\n 269→ description:\n 270→ 'Automated grid trading strategy for ranging markets. Places buy and sell orders at ' +\n 271→ 'predefined price levels to profit from price oscillations.',\n 272→ author: 'GridMaster',\n 273→ authorId: 'creator_gridmaster',\n 274→ category: 'grid_trading',\n 275→ riskLevel: 'medium',\n 276→ supportedAssets: ['TON', 'BTC', 'ETH', 'SOL'],\n 277→ version: '1.5.0',\n 278→ verified: true,\n 279→ roi30d: 6.8,\n 280→ winRate: 65.2,\n 281→ totalTrades: 312,\n 282→ maxDrawdown: 4.7,\n 283→ sharpeRatio: 1.68,\n 284→ reputationScore: 8.2,\n 285→ activeUsers: 289,\n 286→ minCapital: 25,\n 287→ publishedAt: new Date('2026-02-10T11:20:00Z'),\n 288→ tags: ['grid', 'range-trading', 'automated', 'passive'],\n 289→ },\n 290→ {\n 291→ id: 'yield-optimizer',\n 292→ name: 'Yield Optimizer',\n 293→ description:\n 294→ 'Maximizes DeFi yields by automatically rebalancing across TON yield protocols. ' +\n 295→ 'Focuses on stable returns with minimal active management.',\n 296→ author: 'YieldHunter',\n 297→ authorId: 'creator_yieldhunter',\n 298→ category: 'yield_farming',\n 299→ riskLevel: 'low',\n 300→ supportedAssets: ['TON', 'USDT', 'USDC'],\n 301→ version: '3.0.0',\n 302→ verified: true,\n 303→ roi30d: 4.2,\n 304→ winRate: 85.6,\n 305→ totalTrades: 67,\n 306→ maxDrawdown: 2.1,\n 307→ sharpeRatio: 2.45,\n 308→ reputationScore: 9.4,\n 309→ activeUsers: 723,\n 310→ minCapital: 100,\n 311→ publishedAt: new Date('2025-12-05T09:00:00Z'),\n 312→ tags: ['yield', 'defi', 'passive', 'stable'],\n 313→ },\n 314→ {\n 315→ id: 'trend-following-alpha',\n 316→ name: 'Trend Following Alpha',\n 317→ description:\n 318→ 'Multi-timeframe trend following strategy with dynamic position sizing. ' +\n 319→ 'Adapts to market conditions using volatility-adjusted entry/exit rules.',\n 320→ author: 'AlphaTrader',\n 321→ authorId: 'creator_alphatrader',\n 322→ category: 'trend_following',\n 323→ riskLevel: 'medium',\n 324→ supportedAssets: ['TON', 'BTC', 'ETH'],\n 325→ version: '1.1.0',\n 326→ verified: false,\n 327→ roi30d: 9.5,\n 328→ winRate: 58.9,\n 329→ totalTrades: 78,\n 330→ maxDrawdown: 7.2,\n 331→ sharpeRatio: 1.52,\n 332→ reputationScore: 7.2,\n 333→ activeUsers: 98,\n 334→ minCapital: 20,\n 335→ publishedAt: new Date('2026-03-01T16:30:00Z'),\n 336→ tags: ['trend', 'multi-timeframe', 'adaptive', 'intermediate'],\n 337→ },\n 338→];\n 339→\n 340→// ============================================================================\n 341→// Default Strategy Marketplace Implementation\n 342→// ============================================================================\n 343→\n 344→export class DefaultStrategyMarketplace implements StrategyMarketplace {\n 345→ private readonly strategies: Map<string, MarketplaceStrategyListing> = new Map();\n 346→ private readonly deployedAgents: Map<string, MarketplaceDeployedAgent> = new Map();\n 347→\n 348→ constructor() {\n 349→ // Initialize with built-in strategies\n 350→ for (const strategy of BUILTIN_STRATEGIES) {\n 351→ this.strategies.set(strategy.id, strategy);\n 352→ }\n 353→ }\n 354→\n 355→ async listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]> {\n 356→ let results = Array.from(this.strategies.values());\n 357→\n 358→ if (filter) {\n 359→ // Category filter\n 360→ if (filter.category) {\n 361→ results = results.filter((s) => s.category === filter.category);\n 362→ }\n 363→\n 364→ // Risk level filter\n 365→ if (filter.riskLevel) {\n 366→ results = results.filter((s) => s.riskLevel === filter.riskLevel);\n 367→ }\n 368→\n 369→ // Minimum ROI filter\n 370→ if (filter.minRoi !== undefined) {\n 371→ results = results.filter((s) => s.roi30d >= filter.minRoi!);\n 372→ }\n 373→\n 374→ // Maximum drawdown filter\n 375→ if (filter.maxDrawdown !== undefined) {\n 376→ results = results.filter((s) => s.maxDrawdown <= filter.maxDrawdown!);\n 377→ }\n 378→\n 379→ // Text search\n 380→ if (filter.search) {\n 381→ const q = filter.search.toLowerCase();\n 382→ results = results.filter(\n 383→ (s) =>\n 384→ s.name.toLowerCase().includes(q) ||\n 385→ s.description.toLowerCase().includes(q) ||\n 386→ s.author.toLowerCase().includes(q) ||\n 387→ s.tags.some((t) => t.toLowerCase().includes(q))\n 388→ );\n 389→ }\n 390→\n 391→ // Sorting\n 392→ // sortOrder: 'desc' → -1 (descending: higher values first)\n 393→ // 'asc' → 1 (ascending: lower values first)\n 394→ // Base comparison (a - b) is ascending, multiply by -1 for descending\n 395→ const sortOrder = filter.sortOrder === 'asc' ? 1 : -1;\n 396→ switch (filter.sortBy) {\n 397→ case 'roi':\n 398→ results.sort((a, b) => (a.roi30d - b.roi30d) * sortOrder);\n 399→ break;\n 400→ case 'sharpe':\n 401→ results.sort((a, b) => (a.sharpeRatio - b.sharpeRatio) * sortOrder);\n 402→ break;\n 403→ case 'popularity':\n 404→ results.sort((a, b) => (a.activeUsers - b.activeUsers) * sortOrder);\n 405→ break;\n 406→ case 'newest':\n 407→ results.sort(\n 408→ (a, b) =>\n 409→ (a.publishedAt.getTime() - b.publishedAt.getTime()) * sortOrder\n 410→ );\n 411→ break;\n 412→ }\n 413→\n 414→ // Pagination\n 415→ const offset = filter.offset ?? 0;\n 416→ const limit = filter.limit ?? 50;\n 417→ results = results.slice(offset, offset + limit);\n 418→ }\n 419→\n 420→ return results;\n 421→ }\n 422→\n 423→ async getStrategy(strategyId: string): Promise<MarketplaceStrategyListing | null> {\n 424→ return this.strategies.get(strategyId) ?? null;\n 425→ }\n 426→\n 427→ async getTopStrategies(\n 428→ metric: 'roi' | 'sharpe' | 'popularity',\n 429→ limit = 10\n 430→ ): Promise<MarketplaceStrategyListing[]> {\n 431→ return this.listStrategies({\n 432→ sortBy: metric,\n 433→ sortOrder: 'desc',\n 434→ limit,\n 435→ });\n 436→ }\n 437→\n 438→ async deployStrategy(\n 439→ input: DeployMarketplaceStrategyInput\n 440→ ): Promise<MarketplaceDeployedAgent> {\n 441→ const strategy = await this.getStrategy(input.strategyId);\n 442→ if (!strategy) {\n 443→ throw new Error(`Strategy not found: ${input.strategyId}`);\n 444→ }\n 445→\n 446→ if (input.capitalTON < strategy.minCapital) {\n 447→ throw new Error(\n 448→ `Minimum capital for ${strategy.name} is ${strategy.minCapital} TON`\n 449→ );\n 450→ }\n 451→\n 452→ const agentId = `agent_${Date.now()}_${Math.random().toString(36).substring(2, 9)}`;\n 453→ const now = new Date();\n 454→\n 455→ const agent: MarketplaceDeployedAgent = {\n 456→ agentId,\n 457→ strategyId: input.strategyId,\n 458→ strategyName: strategy.name,\n 459→ userId: input.userId,\n 460→ name: input.agentName ?? `${strategy.name} Agent`,\n 461→ capitalAllocated: input.capitalTON,\n 462→ simulationMode: input.simulationMode ?? false,\n 463→ status: 'running',\n 464→ deployedAt: now,\n 465→ };\n 466→\n 467→ this.deployedAgents.set(agentId, agent);\n 468→\n 469→ // Update active users count (simulated)\n 470→ const updatedStrategy = { ...strategy, activeUsers: strategy.activeUsers + 1 };\n 471→ this.strategies.set(strategy.id, updatedStrategy);\n 472→\n 473→ return agent;\n 474→ }\n 475→\n 476→ async stopAgent(agentId: string): Promise<void> {\n 477→ const agent = this.deployedAgents.get(agentId);\n 478→ if (!agent) {\n 479→ throw new Error(`Agent not found: ${agentId}`);\n 480→ }\n 481→\n 482→ // Update agent status\n 483→ const stoppedAgent: MarketplaceDeployedAgent = {\n 484→ ...agent,\n 485→ status: 'stopped',\n 486→ };\n 487→ this.deployedAgents.set(agentId, stoppedAgent);\n 488→\n 489→ // Update active users count (simulated)\n 490→ const strategy = this.strategies.get(agent.strategyId);\n 491→ if (strategy && strategy.activeUsers > 0) {\n 492→ const updatedStrategy = { ...strategy, activeUsers: strategy.activeUsers - 1 };\n 493→ this.strategies.set(strategy.id, updatedStrategy);\n 494→ }\n 495→ }\n 496→\n 497→ async getUserAgents(userId: string): Promise<MarketplaceDeployedAgent[]> {\n 498→ return Array.from(this.deployedAgents.values()).filter(\n 499→ (agent) => agent.userId === userId\n 500→ );\n 501→ }\n 502→\n 503→ /**\n 504→ * Register a custom strategy to the marketplace\n 505→ */\n 506→ registerStrategy(strategy: MarketplaceStrategyListing): void {\n 507→ this.strategies.set(strategy.id, strategy);\n 508→ }\n 509→\n 510→ /**\n 511→ * Get marketplace statistics\n 512→ */\n 513→ getStats(): { totalStrategies: number; totalUsers: number; topRoi: number } {\n 514→ const strategies = Array.from(this.strategies.values());\n 515→ return {\n 516→ totalStrategies: strategies.length,\n 517→ totalUsers: strategies.reduce((sum, s) => sum + s.activeUsers, 0),\n 518→ topRoi: Math.max(...strategies.map((s) => s.roi30d), 0),\n 519→ };\n 520→ }\n 521→}\n 522→\n 523→// ============================================================================\n 524→// Factory Function\n 525→// ============================================================================\n 526→\n 527→/**\n 528→ * Create a new Strategy Marketplace instance\n 529→ */\n 530→export function createStrategyMarketplace(): DefaultStrategyMarketplace {\n 531→ return new DefaultStrategyMarketplace();\n 532→}\n 533→\n 534→// ============================================================================\n 535→// Re-exports\n 536→// ============================================================================\n 537→\n 538→export { BUILTIN_STRATEGIES };\n 539→\n 540→export default DefaultStrategyMarketplace;\n 541→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TONAIAgent - Strategy Marketplace MVP\n *\n * Unified integration layer that connects:\n * - Strategy Engine (trading strategies)\n * - Marketplace (discovery, deployment, reputation)\n * - Agent Runtime (execution)\n *\n * This module provides:\n * - Pre-registered marketplace strategies\n * - Strategy metadata for marketplace listing\n * - Strategy deployment to agents\n * - Performance tracking integration\n *\n * @example\n * ```typescript\n * import {\n * createStrategyMarketplace,\n * MarketplaceStrategyType,\n * } from '@tonaiagent/core/strategy-marketplace';\n *\n * const marketplace = createStrategyMarketplace();\n *\n * // List available strategies\n * const strategies = await marketplace.listStrategies();\n *\n * // Deploy a strategy to an agent\n * const agent = await marketplace.deployStrategy({\n * strategyId: 'momentum-trader',\n * userId: 'user_123',\n * capitalTON: 100,\n * simulationMode: true,\n * });\n * ```\n */\n\n// ============================================================================\n// Types\n// ============================================================================\n\nexport type MarketplaceStrategyCategory =\n | 'momentum'\n | 'mean_reversion'\n | 'arbitrage'\n | 'grid_trading'\n | 'yield_farming'\n | 'trend_following'\n | 'experimental';\n\nexport type MarketplaceRiskLevel = 'low' | 'medium' | 'high';\n\n/**\n * Strategy metadata for marketplace listing\n */\nexport interface MarketplaceStrategyListing {\n /** Unique strategy ID */\n id: string;\n /** Display name */\n name: string;\n /** Strategy description */\n description: string;\n /** Strategy author/creator */\n author: string;\n /** Author ID */\n authorId: string;\n /** Strategy category for filtering */\n category: MarketplaceStrategyCategory;\n /** Risk level assessment */\n riskLevel: MarketplaceRiskLevel;\n /** Assets this strategy supports */\n supportedAssets: string[];\n /** Semantic version */\n version: string;\n /** Whether the strategy is verified */\n verified: boolean;\n /** 30-day ROI percentage */\n roi30d: number;\n /** Win rate percentage */\n winRate: number;\n /** Total trades executed */\n totalTrades: number;\n /** Maximum drawdown percentage */\n maxDrawdown: number;\n /** Sharpe ratio */\n sharpeRatio: number;\n /** Reputation score (0-10) */\n reputationScore: number;\n /** Number of active users */\n activeUsers: number;\n /** Minimum capital requirement in TON */\n minCapital: number;\n /** When the strategy was published */\n publishedAt: Date;\n /** Tags for search */\n tags: string[];\n}\n\n/**\n * Input for deploying a strategy\n */\nexport interface DeployMarketplaceStrategyInput {\n /** Strategy ID to deploy */\n strategyId: string;\n /** User deploying the strategy */\n userId: string;\n /** Capital to allocate in TON */\n capitalTON: number;\n /** Whether to run in simulation mode */\n simulationMode?: boolean;\n /** Custom agent name */\n agentName?: string;\n /** Custom strategy parameters */\n parameters?: Record<string, unknown>;\n}\n\n/**\n * Deployed strategy agent result\n */\nexport interface MarketplaceDeployedAgent {\n /** Unique agent ID */\n agentId: string;\n /** Strategy ID being executed */\n strategyId: string;\n /** Strategy name */\n strategyName: string;\n /** Owner user ID */\n userId: string;\n /** Agent name */\n name: string;\n /** Allocated capital in TON */\n capitalAllocated: number;\n /** Whether running in simulation */\n simulationMode: boolean;\n /** Agent status */\n status: 'running' | 'paused' | 'stopped' | 'error';\n /** When deployed */\n deployedAt: Date;\n}\n\n/**\n * Filter options for listing strategies\n */\nexport interface MarketplaceStrategyFilter {\n /** Filter by category */\n category?: MarketplaceStrategyCategory;\n /** Filter by risk level */\n riskLevel?: MarketplaceRiskLevel;\n /** Filter by minimum ROI */\n minRoi?: number;\n /** Filter by maximum drawdown */\n maxDrawdown?: number;\n /** Text search query */\n search?: string;\n /** Sort field */\n sortBy?: 'roi' | 'sharpe' | 'popularity' | 'newest';\n /** Sort order */\n sortOrder?: 'asc' | 'desc';\n /** Limit results */\n limit?: number;\n /** Offset for pagination */\n offset?: number;\n}\n\n/**\n * Strategy Marketplace interface\n */\nexport interface StrategyMarketplace {\n /** List available strategies with optional filters */\n listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]>;\n /** Get a specific strategy by ID */\n getStrategy(strategyId: string): Promise<MarketplaceStrategyListing | null>;\n /** Get top strategies by a metric */\n getTopStrategies(\n metric: 'roi' | 'sharpe' | 'popularity',\n limit?: number\n ): Promise<MarketplaceStrategyListing[]>;\n /** Deploy a strategy to create an agent */\n deployStrategy(input: DeployMarketplaceStrategyInput): Promise<MarketplaceDeployedAgent>;\n /** Stop a deployed agent */\n stopAgent(agentId: string): Promise<void>;\n /** Get deployed agents for a user */\n getUserAgents(userId: string): Promise<MarketplaceDeployedAgent[]>;\n}\n\n// ============================================================================\n// Built-in Marketplace Strategies\n// ============================================================================\n\n/**\n * Pre-configured marketplace strategies\n * These represent the initial strategies available in the marketplace MVP\n */\nconst BUILTIN_STRATEGIES: MarketplaceStrategyListing[] = [\n {\n id: 'momentum-trader',\n name: 'Momentum Trader',\n description:\n 'Captures short-term price momentum using moving average crossovers and volume confirmation. ' +\n 'Ideal for trending markets with clear directional moves.',\n author: 'TONAIAgent',\n authorId: 'platform',\n category: 'momentum',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '1.0.0',\n verified: true,\n roi30d: 8.2,\n winRate: 68.5,\n totalTrades: 124,\n maxDrawdown: 5.8,\n sharpeRatio: 1.82,\n reputationScore: 8.7,\n activeUsers: 342,\n minCapital: 10,\n publishedAt: new Date('2026-02-15T10:30:00Z'),\n tags: ['momentum', 'trend', 'moving-average', 'beginner-friendly'],\n },\n {\n id: 'mean-reversion-pro',\n name: 'Mean Reversion Pro',\n description:\n 'Exploits price mean reversion patterns using statistical analysis and Bollinger Bands. ' +\n 'Best for range-bound markets with predictable oscillations.',\n author: 'QuantLab',\n authorId: 'creator_quantlab',\n category: 'mean_reversion',\n riskLevel: 'low',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '2.1.0',\n verified: true,\n roi30d: 5.4,\n winRate: 72.1,\n totalTrades: 89,\n maxDrawdown: 3.2,\n sharpeRatio: 2.14,\n reputationScore: 9.1,\n activeUsers: 518,\n minCapital: 50,\n publishedAt: new Date('2026-01-20T08:15:00Z'),\n tags: ['mean-reversion', 'bollinger', 'low-risk', 'statistical'],\n },\n {\n id: 'dex-arbitrage-hunter',\n name: 'DEX Arbitrage Hunter',\n description:\n 'Identifies and executes arbitrage opportunities across TON DEX protocols (STON.fi, DeDust). ' +\n 'Requires quick execution and higher capital for profitability.',\n author: 'ArbitrageKing',\n authorId: 'creator_arbking',\n category: 'arbitrage',\n riskLevel: 'high',\n supportedAssets: ['TON', 'USDT', 'USDC'],\n version: '1.2.0',\n verified: true,\n roi30d: 12.7,\n winRate: 61.3,\n totalTrades: 456,\n maxDrawdown: 8.5,\n sharpeRatio: 1.45,\n reputationScore: 7.8,\n activeUsers: 156,\n minCapital: 100,\n publishedAt: new Date('2026-02-01T14:45:00Z'),\n tags: ['arbitrage', 'dex', 'high-frequency', 'advanced'],\n },\n {\n id: 'grid-trading-bot',\n name: 'Grid Trading Bot',\n description:\n 'Automated grid trading strategy for ranging markets. Places buy and sell orders at ' +\n 'predefined price levels to profit from price oscillations.',\n author: 'GridMaster',\n authorId: 'creator_gridmaster',\n category: 'grid_trading',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH', 'SOL'],\n version: '1.5.0',\n verified: true,\n roi30d: 6.8,\n winRate: 65.2,\n totalTrades: 312,\n maxDrawdown: 4.7,\n sharpeRatio: 1.68,\n reputationScore: 8.2,\n activeUsers: 289,\n minCapital: 25,\n publishedAt: new Date('2026-02-10T11:20:00Z'),\n tags: ['grid', 'range-trading', 'automated', 'passive'],\n },\n {\n id: 'yield-optimizer',\n name: 'Yield Optimizer',\n description:\n 'Maximizes DeFi yields by automatically rebalancing across TON yield protocols. ' +\n 'Focuses on stable returns with minimal active management.',\n author: 'YieldHunter',\n authorId: 'creator_yieldhunter',\n category: 'yield_farming',\n riskLevel: 'low',\n supportedAssets: ['TON', 'USDT', 'USDC'],\n version: '3.0.0',\n verified: true,\n roi30d: 4.2,\n winRate: 85.6,\n totalTrades: 67,\n maxDrawdown: 2.1,\n sharpeRatio: 2.45,\n reputationScore: 9.4,\n activeUsers: 723,\n minCapital: 100,\n publishedAt: new Date('2025-12-05T09:00:00Z'),\n tags: ['yield', 'defi', 'passive', 'stable'],\n },\n {\n id: 'trend-following-alpha',\n name: 'Trend Following Alpha',\n description:\n 'Multi-timeframe trend following strategy with dynamic position sizing. ' +\n 'Adapts to market conditions using volatility-adjusted entry/exit rules.',\n author: 'AlphaTrader',\n authorId: 'creator_alphatrader',\n category: 'trend_following',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '1.1.0',\n verified: false,\n roi30d: 9.5,\n winRate: 58.9,\n totalTrades: 78,\n maxDrawdown: 7.2,\n sharpeRatio: 1.52,\n reputationScore: 7.2,\n activeUsers: 98,\n minCapital: 20,\n publishedAt: new Date('2026-03-01T16:30:00Z'),\n tags: ['trend', 'multi-timeframe', 'adaptive', 'intermediate'],\n },\n];\n\n// ============================================================================\n// Default Strategy Marketplace Implementation\n// ============================================================================\n\nexport class DefaultStrategyMarketplace implements StrategyMarketplace {\n private readonly strategies: Map<string, MarketplaceStrategyListing> = new Map();\n private readonly deployedAgents: Map<string, MarketplaceDeployedAgent> = new Map();\n\n constructor() {\n // Initialize with built-in strategies\n for (const strategy of BUILTIN_STRATEGIES) {\n this.strategies.set(strategy.id, strategy);\n }\n }\n\n async listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]> {\n let results = Array.from(this.strategies.values());\n\n if (filter) {\n // Category filter\n if (filter.category) {\n results = results.filter((s) => s.category === filter.category);\n }\n\n // Risk level filter\n if (filter.riskLevel) {\n results = results.filter((s) => s.riskLevel === filter.riskLevel);\n }\n\n // Minimum ROI filter\n if (filter.minRoi !== undefined) {\n results = results.filter((s) => s.roi30d >= filter.minRoi!);\n }\n\n // Maximum drawdown filter\n if (filter.maxDrawdown !== undefined) {\n results = results.filter((s) => s.maxDrawdown <= filter.maxDrawdown!);\n }\n\n // Text search\n if (filter.search) {\n const q = filter.search.toLowerCase();\n results = results.filter(\n (s) =>\n s.name.toLowerCase().includes(q) ||\n s.description.toLowerCase().includes(q) ||\n s.author.toLowerCase().includes(q) ||\n s.tags.some((t) => t.toLowerCase().includes(q))\n );\n }\n\n // Sorting\n // sortOrder: 'desc' → -1 (descending: higher values first)\n // 'asc' → 1 (ascending: lower values first)\n // Base comparison (a - b) is ascending, multiply by -1 for descending\n const sortOrder = filter.sortOrder === 'asc' ? 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| "content": " 1→/**\n 2→ * TONAIAgent - Strategy Marketplace Types\n 3→ *\n 4→ * Type definitions for the Strategy Marketplace MVP.\n 5→ * These types define the marketplace-specific data structures\n 6→ * that differ from the core marketplace module types.\n 7→ */\n 8→\n 9→// Re-export main types from index\n 10→export type {\n 11→ MarketplaceStrategyCategory,\n 12→ MarketplaceRiskLevel,\n 13→ MarketplaceStrategyListing,\n 14→ DeployMarketplaceStrategyInput,\n 15→ MarketplaceDeployedAgent,\n 16→ MarketplaceStrategyFilter,\n 17→ StrategyMarketplace,\n 18→} from './index';\n 19→\n 20→// ============================================================================\n 21→// Additional Types for Marketplace MVP\n 22→// ============================================================================\n 23→\n 24→/**\n 25→ * Performance snapshot for a strategy\n 26→ */\n 27→export interface StrategyPerformanceSnapshot {\n 28→ /** Timestamp of snapshot */\n 29→ timestamp: Date;\n 30→ /** ROI at this point */\n 31→ roi: number;\n 32→ /** Total trades at this point */\n 33→ totalTrades: number;\n 34→ /** Win rate at this point */\n 35→ winRate: number;\n 36→ /** Drawdown at this point */\n 37→ drawdown: number;\n 38→}\n 39→\n 40→/**\n 41→ * User's allocation to a strategy\n 42→ */\n 43→export interface UserStrategyAllocation {\n 44→ /** Unique allocation ID */\n 45→ id: string;\n 46→ /** User ID */\n 47→ userId: string;\n 48→ /** Strategy ID */\n 49→ strategyId: string;\n 50→ /** Amount allocated in TON */\n 51→ amountTON: number;\n 52→ /** Current value in TON */\n 53→ currentValueTON: number;\n 54→ /** Unrealized PnL */\n 55→ unrealizedPnL: number;\n 56→ /** When allocated */\n 57→ allocatedAt: Date;\n 58→ /** Allocation status */\n 59→ status: 'active' | 'pending' | 'withdrawn';\n 60→}\n 61→\n 62→/**\n 63→ * Strategy reputation factors\n 64→ */\n 65→export interface StrategyReputationFactors {\n 66→ /** Performance score (0-100) */\n 67→ performanceScore: number;\n 68→ /** Stability score (0-100) */\n 69→ stabilityScore: number;\n 70→ /** User rating score (0-100) */\n 71→ userRatingScore: number;\n 72→ /** Longevity score (0-100) */\n 73→ longevityScore: number;\n 74→ /** Overall reputation (0-10) */\n 75→ overallReputation: number;\n 76→}\n 77→\n 78→/**\n 79→ * Strategy discovery result with pagination\n 80→ */\n 81→export interface StrategyDiscoveryResult {\n 82→ /** List of strategies */\n 83→ strategies: import('./index').MarketplaceStrategyListing[];\n 84→ /** Total count */\n 85→ total: number;\n 86→ /** Current offset */\n 87→ offset: number;\n 88→ /** Page size */\n 89→ limit: number;\n 90→ /** Whether there are more results */\n 91→ hasMore: boolean;\n 92→}\n 93→\n 94→/**\n 95→ * Strategy category metadata\n 96→ */\n 97→export interface StrategyCategoryInfo {\n 98→ /** Category ID */\n 99→ id: import('./index').MarketplaceStrategyCategory;\n 100→ /** Display name */\n 101→ name: string;\n 102→ /** Description */\n 103→ description: string;\n 104→ /** Number of strategies in this category */\n 105→ strategyCount: number;\n 106→ /** Average ROI for this category */\n 107→ averageRoi: number;\n 108→}\n 109→\n 110→/**\n 111→ * Marketplace statistics\n 112→ */\n 113→export interface MarketplaceStats {\n 114→ /** Total number of strategies */\n 115→ totalStrategies: number;\n 116→ /** Total number of active users */\n 117→ totalActiveUsers: number;\n 118→ /** Total capital under management */\n 119→ totalAUM: number;\n 120→ /** Best performing strategy ROI */\n 121→ topRoi: number;\n 122→ /** Average strategy ROI */\n 123→ averageRoi: number;\n 124→ /** Number of strategies by category */\n 125→ categoryCounts: Record<import('./index').MarketplaceStrategyCategory, number>;\n 126→}\n 127→\n 128→/**\n 129→ * Strategy rating/review\n 130→ */\n 131→export interface StrategyReview {\n 132→ /** Review ID */\n 133→ id: string;\n 134→ /** Strategy ID */\n 135→ strategyId: string;\n 136→ /** User ID */\n 137→ userId: string;\n 138→ /** Rating (1-5) */\n 139→ rating: number;\n 140→ /** Review title */\n 141→ title: string;\n 142→ /** Review content */\n 143→ content: string;\n 144→ /** Whether user actually used the strategy */\n 145→ verified: boolean;\n 146→ /** Helpful votes */\n 147→ helpfulVotes: number;\n 148→ /** Created at */\n 149→ createdAt: Date;\n 150→}\n 151→\n 152→/**\n 153→ * Event emitted by the marketplace\n 154→ */\n 155→export interface MarketplaceEvent {\n 156→ /** Event ID */\n 157→ id: string;\n 158→ /** Event type */\n 159→ type:\n 160→ | 'strategy_deployed'\n 161→ | 'strategy_stopped'\n 162→ | 'strategy_registered'\n 163→ | 'review_submitted'\n 164→ | 'allocation_changed';\n 165→ /** Event timestamp */\n 166→ timestamp: Date;\n 167→ /** Event data */\n 168→ data: Record<string, unknown>;\n 169→}\n 170→\n 171→/**\n 172→ * Callback for marketplace events\n 173→ */\n 174→export type MarketplaceEventCallback = (event: MarketplaceEvent) => void;\n 175→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TONAIAgent - Strategy Marketplace Types\n *\n * Type definitions for the Strategy Marketplace MVP.\n * These types define the marketplace-specific data structures\n * that differ from the core marketplace module types.\n */\n\n// Re-export main types from index\nexport type {\n MarketplaceStrategyCategory,\n MarketplaceRiskLevel,\n MarketplaceStrategyListing,\n DeployMarketplaceStrategyInput,\n MarketplaceDeployedAgent,\n MarketplaceStrategyFilter,\n StrategyMarketplace,\n} from './index';\n\n// ============================================================================\n// Additional Types for Marketplace MVP\n// ============================================================================\n\n/**\n * Performance snapshot for a strategy\n */\nexport interface StrategyPerformanceSnapshot {\n /** Timestamp of snapshot */\n timestamp: Date;\n /** ROI at this point */\n roi: number;\n /** Total trades at this point */\n totalTrades: number;\n /** Win rate at this point */\n winRate: number;\n /** Drawdown at this point */\n drawdown: number;\n}\n\n/**\n * User's allocation to a strategy\n */\nexport interface UserStrategyAllocation {\n /** Unique allocation ID */\n id: string;\n /** User ID */\n userId: string;\n /** Strategy ID */\n strategyId: string;\n /** Amount allocated in TON */\n amountTON: number;\n /** Current value in TON */\n currentValueTON: number;\n /** Unrealized PnL */\n unrealizedPnL: number;\n /** When allocated */\n allocatedAt: Date;\n /** Allocation status */\n status: 'active' | 'pending' | 'withdrawn';\n}\n\n/**\n * Strategy reputation factors\n */\nexport interface StrategyReputationFactors {\n /** Performance score (0-100) */\n performanceScore: number;\n /** Stability score (0-100) */\n stabilityScore: number;\n /** User rating score (0-100) */\n userRatingScore: number;\n /** Longevity score (0-100) */\n longevityScore: number;\n /** Overall reputation (0-10) */\n overallReputation: number;\n}\n\n/**\n * Strategy discovery result with pagination\n */\nexport interface StrategyDiscoveryResult {\n /** List of strategies */\n strategies: import('./index').MarketplaceStrategyListing[];\n /** Total count */\n total: number;\n /** Current offset */\n offset: number;\n /** Page size */\n limit: number;\n /** Whether there are more results */\n hasMore: boolean;\n}\n\n/**\n * Strategy category metadata\n */\nexport interface StrategyCategoryInfo {\n /** Category ID */\n id: import('./index').MarketplaceStrategyCategory;\n /** Display name */\n name: string;\n /** Description */\n description: string;\n /** Number of strategies in this category */\n strategyCount: number;\n /** Average ROI for this category */\n averageRoi: number;\n}\n\n/**\n * Marketplace statistics\n */\nexport interface MarketplaceStats {\n /** Total number of strategies */\n totalStrategies: number;\n /** Total number of active users */\n totalActiveUsers: number;\n /** Total capital under management */\n totalAUM: number;\n /** Best performing strategy ROI */\n topRoi: number;\n /** Average strategy ROI */\n averageRoi: number;\n /** Number of strategies by category */\n categoryCounts: Record<import('./index').MarketplaceStrategyCategory, number>;\n}\n\n/**\n * Strategy rating/review\n */\nexport interface StrategyReview {\n /** Review ID */\n id: string;\n /** Strategy ID */\n strategyId: string;\n /** User ID */\n userId: string;\n /** Rating (1-5) */\n rating: number;\n /** Review title */\n title: string;\n /** Review content */\n content: string;\n /** Whether user actually used the strategy */\n verified: boolean;\n /** Helpful votes */\n helpfulVotes: number;\n /** Created at */\n createdAt: Date;\n}\n\n/**\n * Event emitted by the marketplace\n */\nexport interface MarketplaceEvent {\n /** Event ID */\n id: string;\n /** Event type */\n type:\n | 'strategy_deployed'\n | 'strategy_stopped'\n | 'strategy_registered'\n | 'review_submitted'\n | 'allocation_changed';\n /** Event timestamp */\n timestamp: Date;\n /** Event data */\n data: Record<string, unknown>;\n}\n\n/**\n * Callback for marketplace events\n */\nexport type MarketplaceEventCallback = (event: MarketplaceEvent) => void;\n", | |
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| "content": " 1→# Contributing to TON AI Agent\n 2→\n 3→Thank you for your interest in contributing to the TON AI Agent platform! This document provides guidelines and instructions for contributing to the project.\n 4→\n 5→---\n 6→\n 7→## Table of Contents\n 8→\n 9→1. [Project Philosophy](#project-philosophy)\n 10→2. [Getting Started](#getting-started)\n 11→3. [Development Setup](#development-setup)\n 12→4. [Branching Strategy](#branching-strategy)\n 13→5. [Pull Request Guidelines](#pull-request-guidelines)\n 14→6. [Code Standards](#code-standards)\n 15→7. [Testing Requirements](#testing-requirements)\n 16→8. [Issue Workflow](#issue-workflow)\n 17→9. [Contributor Roles](#contributor-roles)\n 18→10. [Security Guidelines](#security-guidelines)\n 19→\n 20→---\n 21→\n 22→## Project Philosophy\n 23→\n 24→The TON AI Agent platform is evolving from a single-developer project into an **open developer ecosystem**. Our guiding principles are:\n 25→\n 26→1. **MVP First** — Every contribution must map to a core component. Check the [MVP Architecture](docs/mvp-architecture.md) before starting work.\n 27→2. **Simple and Stable** — Prefer simple, working code over clever or complex solutions.\n 28→3. **Deployable** — Every change must be deployable on standard PHP + MySQL hosting via the installer.\n 29→4. **Telegram-Native** — The primary user interface is the Telegram Mini App. Design all user-facing features for mobile Telegram usage.\n 30→5. **Extensible** — Build with plugins and strategies in mind. The platform is designed to support a marketplace ecosystem.\n 31→\n 32→---\n 33→\n 34→## Getting Started\n 35→\n 36→### Prerequisites\n 37→\n 38→```bash\n 39→node >= 18.0.0\n 40→npm >= 8.0.0\n 41→```\n 42→\n 43→### Quick Start\n 44→\n 45→```bash\n 46→# Clone the repository\n 47→git clone https://github.com/xlabtg/TONAIAgent.git\n 48→cd TONAIAgent\n 49→\n 50→# Install dependencies\n 51→npm install\n 52→\n 53→# Run tests to verify setup\n 54→npm test\n 55→\n 56→# Start development\n 57→npm run dev\n 58→```\n 59→\n 60→For detailed setup instructions, see [docs/developer-setup.md](docs/developer-setup.md).\n 61→\n 62→---\n 63→\n 64→## Development Setup\n 65→\n 66→### Repository Structure\n 67→\n 68→```\n 69→TONAIAgent/\n 70→├── src/ # Core TypeScript modules\n 71→│ ├── agent-runtime/ # 9-step agent execution pipeline\n 72→│ ├── strategy-engine/ # Trading strategy framework\n 73→│ ├── market-data/ # CoinGecko/Binance price feeds\n 74→│ ├── trading-engine/ # Simulated trade execution\n 75→│ ├── portfolio-analytics/ # PnL, ROI, equity tracking\n 76→│ ├── agent-control/ # REST API for agent management\n 77→│ ├── plugins/ # Plugin system and core plugins\n 78→│ ├── demo-agent/ # Preconfigured demo strategies\n 79→│ └── mvp-platform/ # Unified MVP integration layer\n 80→├── php-app/ # PHP backend APIs\n 81→├── miniapp/ # Telegram Mini App (HTML/CSS/JS)\n 82→├── telegram-miniapp/ # Mini App deployment package\n 83→├── installer/ # One-click PHP installer\n 84→├── deploy/ # Deployment configs (Docker, K8s, AWS)\n 85→├── docs/ # Documentation\n 86→├── tests/ # Test suites\n 87→└── examples/ # Usage examples\n 88→```\n 89→\n 90→### Module Responsibilities\n 91→\n 92→| Directory | Purpose |\n 93→|-----------|---------|\n 94→| `src/agent-runtime/` | Core AI agent execution pipeline (9 steps: fetch_data → load_memory → call_ai → validate_risk → generate_plan → simulate_tx → execute_onchain → record_outcome → update_analytics) |\n 95→| `src/strategy-engine/` | Strategy framework with registry, loader, and execution engine |\n 96→| `src/market-data/` | Unified market data layer with CoinGecko and Binance providers |\n 97→| `src/trading-engine/` | Simulated buy/sell execution and portfolio tracking |\n 98→| `src/portfolio-analytics/` | Portfolio metrics, PnL calculation, equity curves |\n 99→| `src/agent-control/` | REST API for agent lifecycle management |\n 100→| `src/plugins/` | Plugin system with TON wallet, jetton, and NFT plugins |\n 101→| `php-app/` | Backend API endpoints and Telegram webhook handler |\n 102→| `miniapp/` | Dashboard, agent creation, strategy selection UI |\n 103→| `installer/` | Deployment wizard for PHP hosting |\n 104→| `deploy/` | Infrastructure configurations for Docker, Kubernetes, AWS |\n 105→\n 106→---\n 107→\n 108→## Branching Strategy\n 109→\n 110→### Branch Naming\n 111→\n 112→Use descriptive branch names following this pattern:\n 113→\n 114→```\n 115→<type>/<issue-number>-<short-description>\n 116→```\n 117→\n 118→**Types:**\n 119→- `feat/` — New features\n 120→- `fix/` — Bug fixes\n 121→- `docs/` — Documentation changes\n 122→- `refactor/` — Code refactoring\n 123→- `test/` — Test additions or fixes\n 124→- `chore/` — Maintenance tasks\n 125→\n 126→**Examples:**\n 127→```\n 128→feat/198-developer-contribution-framework\n 129→fix/199-agent-restart-bug\n 130→docs/200-strategy-development-guide\n 131→```\n 132→\n 133→### Workflow\n 134→\n 135→1. Create a branch from `main`\n 136→2. Make your changes with clear, atomic commits\n 137→3. Open a pull request when ready for review\n 138→4. Address review feedback\n 139→5. Merge after approval\n 140→\n 141→### Commit Messages\n 142→\n 143→Follow the conventional commits format:\n 144→\n 145→```\n 146→type(scope): description\n 147→\n 148→[optional body]\n 149→\n 150→[optional footer]\n 151→```\n 152→\n 153→**Types:** `feat`, `fix`, `docs`, `refactor`, `test`, `chore`\n 154→\n 155→**Examples:**\n 156→```\n 157→feat(strategy-engine): add momentum crossover strategy\n 158→fix(agent-control): handle restart from error state\n 159→docs(readme): update MVP Architecture section\n 160→```\n 161→\n 162→---\n 163→\n 164→## Pull Request Guidelines\n 165→\n 166→### Before Opening a PR\n 167→\n 168→1. Confirm your change maps to an MVP component\n 169→2. Run all tests locally: `npm test`\n 170→3. Run linting: `npm run lint` (if available)\n 171→4. Ensure `git status` shows a clean working tree\n 172→5. Merge latest `main` into your branch and resolve conflicts\n 173→\n 174→### PR Structure\n 175→\n 176→Include in your PR description:\n 177→\n 178→```markdown\n 179→## Summary\n 180→Brief description of what changed and why.\n 181→\n 182→## Changes\n 183→- Bullet points of specific changes\n 184→- Include new files, modified files\n 185→- Note any breaking changes\n 186→\n 187→## Test Plan\n 188→- [ ] Tests added/updated\n 189→- [ ] Manual testing performed\n 190→- [ ] CI checks passing\n 191→\n 192→## Issue Reference\n 193→Fixes #<issue-number>\n 194→```\n 195→\n 196→### Review Process\n 197→\n 198→- PRs require at least one approval before merging\n 199→- Address all review comments\n 200→- Keep PRs focused and small when possible\n 201→- Large features should be split into multiple PRs\n 202→\n 203→---\n 204→\n 205→## Code Standards\n 206→\n 207→### TypeScript\n 208→\n 209→- Use TypeScript 5.0+ features\n 210→- Enable strict mode (`strict: true` in tsconfig.json)\n 211→- Export types alongside implementations\n 212→- Use interfaces for public APIs, types for internal use\n 213→- Document public functions with JSDoc comments\n 214→\n 215→```typescript\n 216→/**\n 217→ * Creates a new trading agent with the specified configuration.\n 218→ *\n 219→ * @param config - Agent configuration options\n 220→ * @returns The created agent instance\n 221→ * @throws {AgentError} If the configuration is invalid\n 222→ */\n 223→export function createAgent(config: AgentConfig): Agent {\n 224→ // Implementation\n 225→}\n 226→```\n 227→\n 228→### PHP\n 229→\n 230→- PHP 8.0+ syntax (match expressions, named arguments, enums)\n 231→- PSR-12 coding style\n 232→- All database queries use PDO prepared statements\n 233→- All user input is sanitized before use\n 234→- Sensitive config values in `.env`, never committed\n 235→\n 236→### JavaScript (Mini App)\n 237→\n 238→- Vanilla JS for the Mini App (no framework required for MVP)\n 239→- Use the Telegram WebApp API: `window.Telegram.WebApp`\n 240→- Verify `initData` signature on every API call\n 241→- No API keys in frontend JavaScript\n 242→\n 243→### Database\n 244→\n 245→- All schema changes in `database/schema.sql`\n 246→- Use `utf8mb4` charset for all tables\n 247→- Index foreign keys and frequently queried columns\n 248→\n 249→---\n 250→\n 251→## Testing Requirements\n 252→\n 253→### Test Categories\n 254→\n 255→| Category | Purpose | Location |\n 256→|----------|---------|----------|\n 257→| Unit Tests | Test individual functions and classes | `tests/<module>/*.test.ts` |\n 258→| Integration Tests | Test component interactions | `tests/integration/*.test.ts` |\n 259→| Strategy Tests | Test strategy signal generation | `tests/strategy-engine/*.test.ts` |\n 260→| API Tests | Test REST endpoints | `tests/agent-control/*.test.ts` |\n 261→\n 262→### Running Tests\n 263→\n 264→```bash\n 265→# Run all tests\n 266→npm test\n 267→\n 268→# Run tests for a specific module\n 269→npm test -- --grep \"strategy-engine\"\n 270→\n 271→# Run tests with coverage\n 272→npm test -- --coverage\n 273→```\n 274→\n 275→### Writing Tests\n 276→\n 277→- Write tests for all new functionality\n 278→- Cover edge cases and error conditions\n 279→- Use descriptive test names\n 280→- Mock external dependencies (APIs, databases)\n 281→\n 282→```typescript\n 283→describe('TrendStrategy', () => {\n 284→ it('should generate BUY signal when price is above SMA', async () => {\n 285→ const strategy = new TrendStrategy();\n 286→ const marketData = createMockMarketData({ TON: 5.50 });\n 287→\n 288→ // Simulate price history\n 289→ for (let i = 0; i < 14; i++) {\n 290→ await strategy.execute(marketData, {});\n 291→ }\n 292→\n 293→ const signal = await strategy.execute(\n 294→ createMockMarketData({ TON: 6.00 }), // Above average\n 295→ {}\n 296→ );\n 297→\n 298→ expect(signal.action).toBe('BUY');\n 299→ expect(signal.confidence).toBeGreaterThan(0.5);\n 300→ });\n 301→});\n 302→```\n 303→\n 304→---\n 305→\n 306→## Issue Workflow\n 307→\n 308→### Creating Issues\n 309→\n 310→Use the appropriate issue template:\n 311→\n 312→- **Feature Request** — New functionality\n 313→- **Bug Report** — Something is broken\n 314→- **Documentation** — Documentation improvements\n 315→- **Research** — Investigation or analysis needed\n 316→\n 317→### Issue Labels\n 318→\n 319→**By Component:**\n 320→- `telegram-bot` — Bot commands and webhook\n 321→- `mini-app` — Telegram Mini App UI\n 322→- `backend-api` — PHP/TypeScript API endpoints\n 323→- `agent-manager` — Agent lifecycle management\n 324→- `strategy-engine` — Trading strategies\n 325→- `simulator` — Trading simulation\n 326→- `analytics` — Portfolio analytics\n 327→- `installer` — Deployment system\n 328→\n 329→**By Type:**\n 330→- `feat` — New feature\n 331→- `bug` — Bug fix\n 332→- `docs` — Documentation\n 333→- `chore` — Maintenance\n 334→\n 335→**By Priority:**\n 336→- `phase-1` — MVP scope\n 337→- `phase-2` — Platform expansion\n 338→- `phase-3` — Infrastructure scale\n 339→\n 340→### Lifecycle\n 341→\n 342→```\n 343→Issue Created\n 344→ ↓\n 345→Discussion & Clarification\n 346→ ↓\n 347→Development Branch Created\n 348→ ↓\n 349→Implementation\n 350→ ↓\n 351→Pull Request Opened\n 352→ ↓\n 353→Review & Feedback\n 354→ ↓\n 355→Merge to Main\n 356→ ↓\n 357→Issue Closed\n 358→```\n 359→\n 360→---\n 361→\n 362→## Contributor Roles\n 363→\n 364→The project supports different types of contributions:\n 365→\n 366→### Core Developers\n 367→\n 368→- Work on the agent runtime, strategy engine, and core infrastructure\n 369→- Review and merge pull requests\n 370→- Maintain project architecture and standards\n 371→\n 372→### Strategy Developers\n 373→\n 374→- Create new trading strategies\n 375→- See [docs/strategy-development.md](docs/strategy-development.md)\n 376→- Register strategies with the Strategy Registry\n 377→\n 378→### Plugin Developers\n 379→\n 380→- Build plugins for data sources, integrations, and tools\n 381→- See [docs/plugin-development.md](docs/plugin-development.md)\n 382→- Follow the plugin manifest and permission system\n 383→\n 384→### UI Contributors\n 385→\n 386→- Improve the Telegram Mini App\n 387→- Work on the web dashboard\n 388→- Follow Telegram WebApp API guidelines\n 389→\n 390→### Documentation Writers\n 391→\n 392→- Improve documentation clarity\n 393→- Add examples and tutorials\n 394→- Keep docs in sync with code changes\n 395→\n 396→---\n 397→\n 398→## Security Guidelines\n 399→\n 400→All contributions must follow these security requirements:\n 401→\n 402→1. **Authentication** — Every API endpoint (except `/health` and `/api/webhook/telegram`) requires valid authentication\n 403→2. **Input Validation** — Validate and sanitize all input\n 404→3. **SQL Injection Prevention** — Use PDO prepared statements exclusively\n 405→4. **CSRF Protection** — Include CSRF tokens in state-changing forms\n 406→5. **Rate Limiting** — Apply rate limiting to all API endpoints\n 407→6. **HTTPS Required** — The application requires HTTPS\n 408→7. **Telegram Signature** — Verify Telegram `initData` HMAC signature\n 409→8. **No Secrets in Code** — All credentials in `.env` only\n 410→\n 411→### Reporting Security Issues\n 412→\n 413→If you discover a security vulnerability, please:\n 414→\n 415→1. **Do not** open a public issue\n 416→2. Email the security team directly (contact info in repository)\n 417→3. Include detailed steps to reproduce\n 418→4. Allow time for a fix before public disclosure\n 419→\n 420→---\n 421→\n 422→## Additional Resources\n 423→\n 424→- [Developer Setup Guide](docs/developer-setup.md)\n 425→- [Strategy Development Guide](docs/strategy-development.md)\n 426→- [Plugin Development Guide](docs/plugin-development.md)\n 427→- [MVP Architecture](docs/mvp-architecture.md)\n 428→- [Development Guidelines](docs/development-guidelines.md)\n 429→- [SDK Documentation](docs/developer.md)\n 430→\n 431→---\n 432→\n 433→## Questions?\n 434→\n 435→- Open a [GitHub Discussion](https://github.com/xlabtg/TONAIAgent/discussions)\n 436→- Check existing [Issues](https://github.com/xlabtg/TONAIAgent/issues)\n 437→- Review the [Documentation](docs/)\n 438→\n 439→Thank you for contributing to TON AI Agent!\n 440→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "# Contributing to TON AI Agent\n\nThank you for your interest in contributing to the TON AI Agent platform! This document provides guidelines and instructions for contributing to the project.\n\n---\n\n## Table of Contents\n\n1. [Project Philosophy](#project-philosophy)\n2. [Getting Started](#getting-started)\n3. [Development Setup](#development-setup)\n4. [Branching Strategy](#branching-strategy)\n5. [Pull Request Guidelines](#pull-request-guidelines)\n6. [Code Standards](#code-standards)\n7. [Testing Requirements](#testing-requirements)\n8. [Issue Workflow](#issue-workflow)\n9. [Contributor Roles](#contributor-roles)\n10. [Security Guidelines](#security-guidelines)\n\n---\n\n## Project Philosophy\n\nThe TON AI Agent platform is evolving from a single-developer project into an **open developer ecosystem**. Our guiding principles are:\n\n1. **MVP First** — Every contribution must map to a core component. Check the [MVP Architecture](docs/mvp-architecture.md) before starting work.\n2. **Simple and Stable** — Prefer simple, working code over clever or complex solutions.\n3. **Deployable** — Every change must be deployable on standard PHP + MySQL hosting via the installer.\n4. **Telegram-Native** — The primary user interface is the Telegram Mini App. Design all user-facing features for mobile Telegram usage.\n5. **Extensible** — Build with plugins and strategies in mind. The platform is designed to support a marketplace ecosystem.\n\n---\n\n## Getting Started\n\n### Prerequisites\n\n```bash\nnode >= 18.0.0\nnpm >= 8.0.0\n```\n\n### Quick Start\n\n```bash\n# Clone the repository\ngit clone https://github.com/xlabtg/TONAIAgent.git\ncd TONAIAgent\n\n# Install dependencies\nnpm install\n\n# Run tests to verify setup\nnpm test\n\n# Start development\nnpm run dev\n```\n\nFor detailed setup instructions, see [docs/developer-setup.md](docs/developer-setup.md).\n\n---\n\n## Development Setup\n\n### Repository Structure\n\n```\nTONAIAgent/\n├── src/ # Core TypeScript modules\n│ ├── agent-runtime/ # 9-step agent execution pipeline\n│ ├── strategy-engine/ # Trading strategy framework\n│ ├── market-data/ # CoinGecko/Binance price feeds\n│ ├── trading-engine/ # Simulated trade execution\n│ ├── portfolio-analytics/ # PnL, ROI, equity tracking\n│ ├── agent-control/ # REST API for agent management\n│ ├── plugins/ # Plugin system and core plugins\n│ ├── demo-agent/ # Preconfigured demo strategies\n│ └── mvp-platform/ # Unified MVP integration layer\n├── php-app/ # PHP backend APIs\n├── miniapp/ # Telegram Mini App (HTML/CSS/JS)\n├── telegram-miniapp/ # Mini App deployment package\n├── installer/ # One-click PHP installer\n├── deploy/ # Deployment configs (Docker, K8s, AWS)\n├── docs/ # Documentation\n├── tests/ # Test suites\n└── examples/ # Usage examples\n```\n\n### Module Responsibilities\n\n| Directory | Purpose |\n|-----------|---------|\n| `src/agent-runtime/` | Core AI agent execution pipeline (9 steps: fetch_data → load_memory → call_ai → validate_risk → generate_plan → simulate_tx → execute_onchain → record_outcome → update_analytics) |\n| `src/strategy-engine/` | Strategy framework with registry, loader, and execution engine |\n| `src/market-data/` | Unified market data layer with CoinGecko and Binance providers |\n| `src/trading-engine/` | Simulated buy/sell execution and portfolio tracking |\n| `src/portfolio-analytics/` | Portfolio metrics, PnL calculation, equity curves |\n| `src/agent-control/` | REST API for agent lifecycle management |\n| `src/plugins/` | Plugin system with TON wallet, jetton, and NFT plugins |\n| `php-app/` | Backend API endpoints and Telegram webhook handler |\n| `miniapp/` | Dashboard, agent creation, strategy selection UI |\n| `installer/` | Deployment wizard for PHP hosting |\n| `deploy/` | Infrastructure configurations for Docker, Kubernetes, AWS |\n\n---\n\n## Branching Strategy\n\n### Branch Naming\n\nUse descriptive branch names following this pattern:\n\n```\n<type>/<issue-number>-<short-description>\n```\n\n**Types:**\n- `feat/` — New features\n- `fix/` — Bug fixes\n- `docs/` — Documentation changes\n- `refactor/` — Code refactoring\n- `test/` — Test additions or fixes\n- `chore/` — Maintenance tasks\n\n**Examples:**\n```\nfeat/198-developer-contribution-framework\nfix/199-agent-restart-bug\ndocs/200-strategy-development-guide\n```\n\n### Workflow\n\n1. Create a branch from `main`\n2. Make your changes with clear, atomic commits\n3. Open a pull request when ready for review\n4. Address review feedback\n5. Merge after approval\n\n### Commit Messages\n\nFollow the conventional commits format:\n\n```\ntype(scope): description\n\n[optional body]\n\n[optional footer]\n```\n\n**Types:** `feat`, `fix`, `docs`, `refactor`, `test`, `chore`\n\n**Examples:**\n```\nfeat(strategy-engine): add momentum crossover strategy\nfix(agent-control): handle restart from error state\ndocs(readme): update MVP Architecture section\n```\n\n---\n\n## Pull Request Guidelines\n\n### Before Opening a PR\n\n1. Confirm your change maps to an MVP component\n2. Run all tests locally: `npm test`\n3. Run linting: `npm run lint` (if available)\n4. Ensure `git status` shows a clean working tree\n5. Merge latest `main` into your branch and resolve conflicts\n\n### PR Structure\n\nInclude in your PR description:\n\n```markdown\n## Summary\nBrief description of what changed and why.\n\n## Changes\n- Bullet points of specific changes\n- Include new files, modified files\n- Note any breaking changes\n\n## Test Plan\n- [ ] Tests added/updated\n- [ ] Manual testing performed\n- [ ] CI checks passing\n\n## Issue Reference\nFixes #<issue-number>\n```\n\n### Review Process\n\n- PRs require at least one approval before merging\n- Address all review comments\n- Keep PRs focused and small when possible\n- Large features should be split into multiple PRs\n\n---\n\n## Code Standards\n\n### TypeScript\n\n- Use TypeScript 5.0+ features\n- Enable strict mode (`strict: true` in tsconfig.json)\n- Export types alongside implementations\n- Use interfaces for public APIs, types for internal use\n- Document public functions with JSDoc comments\n\n```typescript\n/**\n * Creates a new trading agent with the specified configuration.\n *\n * @param config - Agent configuration options\n * @returns The created agent instance\n * @throws {AgentError} If the configuration is invalid\n */\nexport function createAgent(config: AgentConfig): Agent {\n // Implementation\n}\n```\n\n### PHP\n\n- PHP 8.0+ syntax (match expressions, named arguments, enums)\n- PSR-12 coding style\n- All database queries use PDO prepared statements\n- All user input is sanitized before use\n- Sensitive config values in `.env`, never committed\n\n### JavaScript (Mini App)\n\n- Vanilla JS for the Mini App (no framework required for MVP)\n- Use the Telegram WebApp API: `window.Telegram.WebApp`\n- Verify `initData` signature on every API call\n- No API keys in frontend JavaScript\n\n### Database\n\n- All schema changes in `database/schema.sql`\n- Use `utf8mb4` charset for all tables\n- Index foreign keys and frequently queried columns\n\n---\n\n## Testing Requirements\n\n### Test Categories\n\n| Category | Purpose | Location |\n|----------|---------|----------|\n| Unit Tests | Test individual functions and classes | `tests/<module>/*.test.ts` |\n| Integration Tests | Test component interactions | `tests/integration/*.test.ts` |\n| Strategy Tests | Test strategy signal generation | `tests/strategy-engine/*.test.ts` |\n| API Tests | Test REST endpoints | `tests/agent-control/*.test.ts` |\n\n### Running Tests\n\n```bash\n# Run all tests\nnpm test\n\n# Run tests for a specific module\nnpm test -- --grep \"strategy-engine\"\n\n# Run tests with coverage\nnpm test -- --coverage\n```\n\n### Writing Tests\n\n- Write tests for all new functionality\n- Cover edge cases and error conditions\n- Use descriptive test names\n- Mock external dependencies (APIs, databases)\n\n```typescript\ndescribe('TrendStrategy', () => {\n it('should generate BUY signal when price is above SMA', async () => {\n const strategy = new TrendStrategy();\n const marketData = createMockMarketData({ TON: 5.50 });\n\n // Simulate price history\n for (let i = 0; i < 14; i++) {\n await strategy.execute(marketData, {});\n }\n\n const signal = await strategy.execute(\n createMockMarketData({ TON: 6.00 }), // Above average\n {}\n );\n\n expect(signal.action).toBe('BUY');\n expect(signal.confidence).toBeGreaterThan(0.5);\n });\n});\n```\n\n---\n\n## Issue Workflow\n\n### Creating Issues\n\nUse the appropriate issue template:\n\n- **Feature Request** — New functionality\n- **Bug Report** — Something is broken\n- **Documentation** — Documentation improvements\n- **Research** — Investigation or analysis needed\n\n### Issue Labels\n\n**By Component:**\n- `telegram-bot` — Bot commands and webhook\n- `mini-app` — Telegram Mini App UI\n- `backend-api` — PHP/TypeScript API endpoints\n- `agent-manager` — Agent lifecycle management\n- `strategy-engine` — Trading strategies\n- `simulator` — Trading simulation\n- `analytics` — Portfolio analytics\n- `installer` — Deployment system\n\n**By Type:**\n- `feat` — New feature\n- `bug` — Bug fix\n- `docs` — Documentation\n- `chore` — Maintenance\n\n**By Priority:**\n- `phase-1` — MVP scope\n- `phase-2` — Platform expansion\n- `phase-3` — Infrastructure scale\n\n### Lifecycle\n\n```\nIssue Created\n ↓\nDiscussion & Clarification\n ↓\nDevelopment Branch Created\n ↓\nImplementation\n ↓\nPull Request Opened\n ↓\nReview & Feedback\n ↓\nMerge to Main\n ↓\nIssue Closed\n```\n\n---\n\n## Contributor Roles\n\nThe project supports different types of contributions:\n\n### Core Developers\n\n- Work on the agent runtime, strategy engine, and core infrastructure\n- Review and merge pull requests\n- Maintain project architecture and standards\n\n### Strategy Developers\n\n- Create new trading strategies\n- See [docs/strategy-development.md](docs/strategy-development.md)\n- Register strategies with the Strategy Registry\n\n### Plugin Developers\n\n- Build plugins for data sources, integrations, and tools\n- See [docs/plugin-development.md](docs/plugin-development.md)\n- Follow the plugin manifest and permission system\n\n### UI Contributors\n\n- Improve the Telegram Mini App\n- Work on the web dashboard\n- Follow Telegram WebApp API guidelines\n\n### Documentation Writers\n\n- Improve documentation clarity\n- Add examples and tutorials\n- Keep docs in sync with code changes\n\n---\n\n## Security Guidelines\n\nAll contributions must follow these security requirements:\n\n1. **Authentication** — Every API endpoint (except `/health` and `/api/webhook/telegram`) requires valid authentication\n2. **Input Validation** — Validate and sanitize all input\n3. **SQL Injection Prevention** — Use PDO prepared statements exclusively\n4. **CSRF Protection** — Include CSRF tokens in state-changing forms\n5. **Rate Limiting** — Apply rate limiting to all API endpoints\n6. **HTTPS Required** — The application requires HTTPS\n7. **Telegram Signature** — Verify Telegram `initData` HMAC signature\n8. **No Secrets in Code** — All credentials in `.env` only\n\n### Reporting Security Issues\n\nIf you discover a security vulnerability, please:\n\n1. **Do not** open a public issue\n2. Email the security team directly (contact info in repository)\n3. Include detailed steps to reproduce\n4. Allow time for a fix before public disclosure\n\n---\n\n## Additional Resources\n\n- [Developer Setup Guide](docs/developer-setup.md)\n- [Strategy Development Guide](docs/strategy-development.md)\n- [Plugin Development Guide](docs/plugin-development.md)\n- [MVP Architecture](docs/mvp-architecture.md)\n- [Development Guidelines](docs/development-guidelines.md)\n- [SDK Documentation](docs/developer.md)\n\n---\n\n## Questions?\n\n- Open a [GitHub Discussion](https://github.com/xlabtg/TONAIAgent/discussions)\n- Check existing [Issues](https://github.com/xlabtg/TONAIAgent/issues)\n- Review the [Documentation](docs/)\n\nThank you for contributing to TON AI Agent!\n", | |
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| [2026-03-11T21:42:37.522Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:42:37.522Z] [INFO] status: 200, | |
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| [2026-03-11T21:42:41.067Z] [INFO] { | |
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| "content": " 1→/**\n 2→ * TONAIAgent - Strategy Backtesting Framework\n 3→ *\n 4→ * Comprehensive historical simulation and validation framework for strategy\n 5→ * testing before deploying with live capital.\n 6→ *\n 7→ * Issue #155: Strategy Backtesting Framework\n 8→ *\n 9→ * Architecture:\n 10→ * Historical Market Data\n 11→ * |\n 12→ * Market Replay Engine\n 13→ * |\n 14→ * Strategy Agent Runtime (via BacktestStrategySpec.onCandle)\n 15→ * |\n 16→ * Simulated Trading Engine\n 17→ * |\n 18→ * Performance Analysis + Risk Evaluation\n 19→ * |\n 20→ * Structured Backtest Reports\n 21→ *\n 22→ * Core Components:\n 23→ * 1. HistoricalDataManager — OHLCV candles, trade history, order book, volatility\n 24→ * 2. MarketReplayEngine — Sequential, event-driven market replay\n 25→ * 3. SimulationEnvironment — Sandboxed capital + order execution\n 26→ * 4. PerformanceCalculator — Sharpe, Sortino, drawdown, win rate, VaR\n 27→ * 5. BacktestRiskEvaluator — Risk Engine v1 integration (drawdown/concentration/volatility)\n 28→ * 6. BacktestReportGenerator — Structured report with equity curve, trade history\n 29→ * 7. BacktestingFramework — Unified orchestrator (entry point)\n 30→ *\n 31→ * @example\n 32→ * ```typescript\n 33→ * import { createBacktestingFramework } from '@tonaiagent/core/backtesting';\n 34→ *\n 35→ * const framework = createBacktestingFramework();\n 36→ *\n 37→ * const result = await framework.run({\n 38→ * strategyId: 'strategy_001',\n 39→ * strategyName: 'DCA TON',\n 40→ * strategySpec: {\n 41→ * assets: ['TON'],\n 42→ * onCandle: async (candle, portfolio, placeOrder) => {\n 43→ * // Buy $100 of TON every day\n 44→ * if (portfolio.cash >= 100) {\n 45→ * await placeOrder({\n 46→ * asset: 'TON',\n 47→ * side: 'buy',\n 48→ * type: 'market',\n 49→ * amount: 100,\n 50→ * amountType: 'usd',\n 51→ * });\n 52→ * }\n 53→ * },\n 54→ * },\n 55→ * dataConfig: {\n 56→ * type: 'synthetic',\n 57→ * assets: ['TON'],\n 58→ * startDate: new Date('2024-01-01'),\n 59→ * endDate: new Date('2024-06-30'),\n 60→ * granularity: '1d',\n 61→ * },\n 62→ * simulationConfig: {\n 63→ * initialCapital: 10000,\n 64→ * currency: 'USD',\n 65→ * slippageModel: { type: 'fixed', baseSlippage: 10 },\n 66→ * feeModel: { tradingFeePercent: 0.3, gasCostUsd: 0.05 },\n 67→ * fillModel: { type: 'immediate' },\n 68→ * },\n 69→ * riskEvaluation: true,\n 70→ * generateReport: true,\n 71→ * });\n 72→ *\n 73→ * console.log(framework.reports.formatSummaryString(result.report!));\n 74→ * // Capital Start: 10,000.00 / Capital End: 13,450.00 / Return: +34.5% / ...\n 75→ * ```\n 76→ */\n 77→\n 78→// ============================================================================\n 79→// Type Exports\n 80→// ============================================================================\n 81→\n 82→export * from './types';\n 83→\n 84→// ============================================================================\n 85→// Component Exports\n 86→// ============================================================================\n 87→\n 88→// Historical Data Layer\n 89→export {\n 90→ HistoricalDataManager,\n 91→ SyntheticDataGenerator,\n 92→ JsonDataProvider,\n 93→ createHistoricalDataManager,\n 94→ createSyntheticDataGenerator,\n 95→ createJsonDataProvider,\n 96→ granularityToMs,\n 97→ countCandles,\n 98→ type HistoricalDataProvider,\n 99→} from './historical-data';\n 100→\n 101→// Market Replay Engine\n 102→export {\n 103→ MarketReplayEngine,\n 104→ MarketReplaySession,\n 105→ createMarketReplayEngine,\n 106→} from './market-replay';\n 107→\n 108→// Simulation Environment\n 109→export {\n 110→ SimulationEnvironment,\n 111→ createSimulationEnvironment,\n 112→ DEFAULT_SLIPPAGE_MODEL,\n 113→ DEFAULT_FEE_MODEL,\n 114→ DEFAULT_FILL_MODEL,\n 115→} from './simulation-env';\n 116→\n 117→// Performance Analysis\n 118→export {\n 119→ PerformanceCalculator,\n 120→ createPerformanceCalculator,\n 121→} from './performance-analysis';\n 122→\n 123→// Risk Evaluation\n 124→export {\n 125→ BacktestRiskEvaluator,\n 126→ createBacktestRiskEvaluator,\n 127→ DEFAULT_DRAWDOWN_SCENARIOS,\n 128→ DEFAULT_RISK_THRESHOLDS,\n 129→} from './risk-evaluation';\n 130→\n 131→// Report Generator\n 132→export {\n 133→ BacktestReportGenerator,\n 134→ createReportGenerator,\n 135→} from './report-generator';\n 136→\n 137→// ============================================================================\n 138→// Unified Backtesting Framework\n 139→// ============================================================================\n 140→\n 141→import {\n 142→ BacktestRunConfig,\n 143→ BacktestRunResult,\n 144→ BacktestRunStatus,\n 145→ BacktestingEvent,\n 146→ BacktestingEventCallback,\n 147→ BacktestingEventType,\n 148→ BacktestingFrameworkConfig,\n 149→ DataGranularity,\n 150→ OHLCVCandle,\n 151→ PortfolioState,\n 152→ SimulatedOrder,\n 153→} from './types';\n 154→\n 155→import {\n 156→ HistoricalDataManager,\n 157→ createHistoricalDataManager,\n 158→} from './historical-data';\n 159→\n 160→import {\n 161→ MarketReplayEngine,\n 162→ createMarketReplayEngine,\n 163→} from './market-replay';\n 164→\n 165→import {\n 166→ SimulationEnvironment,\n 167→ DEFAULT_SLIPPAGE_MODEL,\n 168→ DEFAULT_FEE_MODEL,\n 169→ DEFAULT_FILL_MODEL,\n 170→ createSimulationEnvironment,\n 171→} from './simulation-env';\n 172→\n 173→import {\n 174→ PerformanceCalculator,\n 175→ createPerformanceCalculator,\n 176→} from './performance-analysis';\n 177→\n 178→import {\n 179→ BacktestRiskEvaluator,\n 180→ DEFAULT_RISK_THRESHOLDS,\n 181→ createBacktestRiskEvaluator,\n 182→} from './risk-evaluation';\n 183→\n 184→import {\n 185→ BacktestReportGenerator,\n 186→ createReportGenerator,\n 187→} from './report-generator';\n 188→\n 189→// ============================================================================\n 190→// Framework Interface\n 191→// ============================================================================\n 192→\n 193→export interface BacktestingFramework {\n 194→ readonly config: BacktestingFrameworkConfig;\n 195→ readonly dataManager: HistoricalDataManager;\n 196→ readonly replayEngine: MarketReplayEngine;\n 197→ readonly performance: PerformanceCalculator;\n 198→ readonly riskEvaluator: BacktestRiskEvaluator;\n 199→ readonly reports: BacktestReportGenerator;\n 200→\n 201→ /** Run a full backtest with the given configuration */\n 202→ run(config: BacktestRunConfig): Promise<BacktestRunResult>;\n 203→\n 204→ /** Get a previously completed backtest result by ID */\n 205→ getResult(backtestId: string): BacktestRunResult | undefined;\n 206→\n 207→ /** Get all backtest results */\n 208→ getAllResults(): BacktestRunResult[];\n 209→\n 210→ /** Subscribe to framework events */\n 211→ onEvent(callback: BacktestingEventCallback): void;\n 212→}\n 213→\n 214→// ============================================================================\n 215→// Default Framework Config\n 216→// ============================================================================\n 217→\n 218→export const DEFAULT_FRAMEWORK_CONFIG: BacktestingFrameworkConfig = {\n 219→ defaultDataGranularity: '1h',\n 220→ maxDataPointsPerRun: 50000,\n 221→ enableDataCaching: true,\n 222→ defaultInitialCapital: 10000,\n 223→ defaultSlippageModel: DEFAULT_SLIPPAGE_MODEL,\n 224→ defaultFeeModel: DEFAULT_FEE_MODEL,\n 225→ defaultFillModel: DEFAULT_FILL_MODEL,\n 226→ enableMonteCarlo: false,\n 227→ defaultMonteCarloSimulations: 1000,\n 228→ enableRiskEvaluation: true,\n 229→ riskEvaluationThresholds: DEFAULT_RISK_THRESHOLDS,\n 230→ reportFormat: 'detailed',\n 231→ includeMarketplaceMetrics: true,\n 232→};\n 233→\n 234→// ============================================================================\n 235→// Default Backtesting Framework Implementation\n 236→// ============================================================================\n 237→\n 238→export class DefaultBacktestingFramework implements BacktestingFramework {\n 239→ readonly config: BacktestingFrameworkConfig;\n 240→ readonly dataManager: HistoricalDataManager;\n 241→ readonly replayEngine: MarketReplayEngine;\n 242→ readonly performance: PerformanceCalculator;\n 243→ readonly riskEvaluator: BacktestRiskEvaluator;\n 244→ readonly reports: BacktestReportGenerator;\n 245→\n 246→ private readonly results = new Map<string, BacktestRunResult>();\n 247→ private readonly eventCallbacks: BacktestingEventCallback[] = [];\n 248→\n 249→ constructor(config: Partial<BacktestingFrameworkConfig> = {}) {\n 250→ this.config = { ...DEFAULT_FRAMEWORK_CONFIG, ...config };\n 251→\n 252→ this.dataManager = createHistoricalDataManager();\n 253→ this.replayEngine = createMarketReplayEngine(this.dataManager);\n 254→ this.performance = createPerformanceCalculator();\n 255→ this.riskEvaluator = createBacktestRiskEvaluator(\n 256→ this.config.riskEvaluationThresholds\n 257→ );\n 258→ this.reports = createReportGenerator();\n 259→ }\n 260→\n 261→ /**\n 262→ * Run a complete backtest:\n 263→ * 1. Load historical data\n 264→ * 2. Replay market events sequentially\n 265→ * 3. Execute strategy logic on each candle\n 266→ * 4. Calculate performance metrics\n 267→ * 5. Evaluate risk\n 268→ * 6. Generate report\n 269→ */\n 270→ async run(config: BacktestRunConfig): Promise<BacktestRunResult> {\n 271→ const backtestId = config.id ?? this.generateBacktestId();\n 272→ const startedAt = new Date();\n 273→\n 274→ const result: BacktestRunResult = {\n 275→ id: backtestId,\n 276→ strategyId: config.strategyId,\n 277→ strategyName: config.strategyName,\n 278→ config,\n 279→ status: 'running',\n 280→ startedAt,\n 281→ orders: [],\n 282→ equityCurve: [],\n 283→ warnings: [],\n 284→ };\n 285→\n 286→ this.results.set(backtestId, result);\n 287→ this.emitEvent('backtest_started', backtestId, {\n 288→ strategyId: config.strategyId,\n 289→ strategyName: config.strategyName,\n 290→ });\n 291→\n 292→ try {\n 293→ // --- Step 1: Initialize simulation environment ---\n 294→ const simConfig = {\n 295→ initialCapital: config.simulationConfig.initialCapital,\n 296→ currency: config.simulationConfig.currency ?? 'USD',\n 297→ slippageModel: config.simulationConfig.slippageModel,\n 298→ feeModel: config.simulationConfig.feeModel,\n 299→ fillModel: config.simulationConfig.fillModel,\n 300→ maxPositionSizePercent: config.simulationConfig.maxPositionSizePercent,\n 301→ maxDrawdownPercent: config.simulationConfig.maxDrawdownPercent,\n 302→ seed: config.simulationConfig.seed,\n 303→ };\n 304→\n 305→ const simEnv = createSimulationEnvironment(backtestId, simConfig);\n 306→\n 307→ // --- Step 2: Call optional strategy start hook ---\n 308→ if (config.strategySpec.onStart) {\n 309→ await config.strategySpec.onStart(simEnv.getPortfolio());\n 310→ }\n 311→\n 312→ // --- Step 3: Load data and validate ---\n 313→ const validationResult = await this.dataManager.validateData(\n 314→ config.dataConfig.assets,\n 315→ config.dataConfig.startDate,\n 316→ config.dataConfig.endDate,\n 317→ config.dataConfig.granularity as DataGranularity\n 318→ );\n 319→\n 320→ if (!validationResult.valid) {\n 321→ this.emitEvent('data_validation_failed', backtestId, {\n 322→ errors: validationResult.errors,\n 323→ });\n 324→ result.status = 'failed';\n 325→ result.error = {\n 326→ code: 'DATA_VALIDATION_FAILED',\n 327→ message: validationResult.errors.join('; '),\n 328→ };\n 329→ result.completedAt = new Date();\n 330→ this.results.set(backtestId, result);\n 331→ return result;\n 332→ }\n 333→\n 334→ if (validationResult.warnings.length > 0) {\n 335→ result.warnings.push(...validationResult.warnings);\n 336→ }\n 337→\n 338→ this.emitEvent('data_loaded', backtestId, {\n 339→ candleCount: validationResult.candleCount,\n 340→ assetCount: validationResult.assetCount,\n 341→ });\n 342→\n 343→ // --- Step 4: Create and run market replay session ---\n 344→ const session = this.replayEngine.createSession({\n 345→ speed: 'instant',\n 346→ startDate: config.dataConfig.startDate,\n 347→ endDate: config.dataConfig.endDate,\n 348→ granularity: config.dataConfig.granularity as DataGranularity,\n 349→ assets: config.dataConfig.assets,\n 350→ });\n 351→\n 352→ await session.initialize();\n 353→\n 354→ // Track progress\n 355→ let processedCount = 0;\n 356→ const totalCount = session.getState().totalCandles;\n 357→\n 358→ await session.run(\n 359→ async (\n 360→ timestamp: Date,\n 361→ candles: OHLCVCandle[],\n 362→ currentPrices: Map<string, number>\n 363→ ) => {\n 364→ // Update portfolio valuations first\n 365→ simEnv.updatePrices(timestamp, currentPrices);\n 366→\n 367→ // Run strategy logic\n 368→ await config.strategySpec.onCandle(\n 369→ candles[0] ?? {\n 370→ timestamp,\n 371→ asset: config.dataConfig.assets[0] ?? '',\n 372→ open: 0,\n 373→ high: 0,\n 374→ low: 0,\n 375→ close: 0,\n 376→ volume: 0,\n 377→ },\n 378→ simEnv.getPortfolio() as Readonly<PortfolioState>,\n 379→ async (orderRequest) => simEnv.placeOrder(orderRequest, currentPrices)\n 380→ );\n 381→\n 382→ // Emit progress events every 5%\n 383→ processedCount++;\n 384→ const progress = Math.round((processedCount / totalCount) * 100);\n 385→ if (progress % 5 === 0 && processedCount > 1) {\n 386→ this.emitEvent('backtest_progress', backtestId, {\n 387→ progress,\n 388→ processedCandles: processedCount,\n 389→ totalCandles: totalCount,\n 390→ });\n 391→ }\n 392→ }\n 393→ );\n 394→\n 395→ // --- Step 5: Close all positions at end ---\n 396→ const finalPrices = new Map<string, number>();\n 397→ const equityCurve = simEnv.getEquityCurve();\n 398→ if (equityCurve.length > 0) {\n 399→ const lastPoint = equityCurve[equityCurve.length - 1];\n 400→ for (const [asset, amount] of Object.entries(lastPoint.positions)) {\n 401→ if (amount > 0) {\n 402→ // Use last known price\n 403→ finalPrices.set(asset, amount);\n 404→ }\n 405→ }\n 406→ }\n 407→ simEnv.closeAllPositions(finalPrices);\n 408→\n 409→ // --- Step 6: Call optional strategy end hook ---\n 410→ if (config.strategySpec.onEnd) {\n 411→ await config.strategySpec.onEnd(simEnv.getPortfolio());\n 412→ }\n 413→\n 414→ // --- Step 7: Calculate performance metrics ---\n 415→ const allOrders = simEnv.getOrders();\n 416→ const finalEquityCurve = simEnv.getEquityCurve();\n 417→ const performanceReport = this.performance.buildReport(\n 418→ backtestId,\n 419→ config.strategyName,\n 420→ config.simulationConfig.initialCapital,\n 421→ finalEquityCurve,\n 422→ allOrders\n 423→ );\n 424→\n 425→ result.orders = allOrders;\n 426→ result.equityCurve = finalEquityCurve;\n 427→ result.performance = performanceReport;\n 428→ result.finalPortfolio = { ...simEnv.getPortfolio() } as PortfolioState;\n 429→\n 430→ // --- Step 8: Risk evaluation ---\n 431→ if (config.riskEvaluation ?? this.config.enableRiskEvaluation) {\n 432→ const riskResult = this.riskEvaluator.evaluate(\n 433→ backtestId,\n 434→ performanceReport,\n 435→ allOrders,\n 436→ finalEquityCurve\n 437→ );\n 438→ result.riskEvaluation = riskResult;\n 439→\n 440→ this.emitEvent('risk_evaluated', backtestId, {\n 441→ riskGrade: riskResult.riskGrade,\n 442→ riskScore: riskResult.overallRiskScore,\n 443→ passed: riskResult.passed,\n 444→ });\n 445→ }\n 446→\n 447→ // --- Step 9: Monte Carlo analysis ---\n 448→ if (config.monteCarlo?.enabled) {\n 449→ const monteCarlo = this.performance.runMonteCarlo(\n 450→ allOrders,\n 451→ config.monteCarlo.simulations,\n 452→ config.monteCarlo.confidenceLevel\n 453→ );\n 454→\n 455→ if (result.report) {\n 456→ result.report = this.reports.attachMonteCarlo(result.report, monteCarlo);\n 457→ }\n 458→ }\n 459→\n 460→ // --- Step 10: Generate full report ---\n 461→ if (config.generateReport ?? true) {\n 462→ if (result.performance && result.riskEvaluation) {\n 463→ const report = this.reports.generateReport(result);\n 464→ result.report = report;\n 465→\n 466→ this.emitEvent('report_generated', backtestId, {\n 467→ reportId: report.id,\n 468→ riskGrade: report.summary.riskGrade,\n 469→ });\n 470→ }\n 471→ }\n 472→\n 473→ // Mark as completed\n 474→ result.status = 'completed';\n 475→ result.completedAt = new Date();\n 476→ result.durationMs = result.completedAt.getTime() - startedAt.getTime();\n 477→\n 478→ this.results.set(backtestId, result);\n 479→\n 480→ this.emitEvent('backtest_completed', backtestId, {\n 481→ status: 'completed',\n 482→ durationMs: result.durationMs,\n 483→ totalReturn: result.performance?.summary.totalReturn,\n 484→ sharpeRatio: result.performance?.risk.sharpeRatio,\n 485→ });\n 486→\n 487→ return result;\n 488→\n 489→ } catch (error) {\n 490→ result.status = 'failed';\n 491→ result.completedAt = new Date();\n 492→ result.durationMs = result.completedAt.getTime() - startedAt.getTime();\n 493→ result.error = {\n 494→ code: 'BACKTEST_ERROR',\n 495→ message: error instanceof Error ? error.message : String(error),\n 496→ };\n 497→\n 498→ this.results.set(backtestId, result);\n 499→\n 500→ this.emitEvent('backtest_failed', backtestId, {\n 501→ error: result.error.message,\n 502→ });\n 503→\n 504→ return result;\n 505→ }\n 506→ }\n 507→\n 508→ getResult(backtestId: string): BacktestRunResult | undefined {\n 509→ return this.results.get(backtestId);\n 510→ }\n 511→\n 512→ getAllResults(): BacktestRunResult[] {\n 513→ return Array.from(this.results.values()).sort(\n 514→ (a, b) => b.startedAt.getTime() - a.startedAt.getTime()\n 515→ );\n 516→ }\n 517→\n 518→ onEvent(callback: BacktestingEventCallback): void {\n 519→ this.eventCallbacks.push(callback);\n 520→ }\n 521→\n 522→ // ============================================================================\n 523→ // Private Methods\n 524→ // ============================================================================\n 525→\n 526→ private emitEvent(\n 527→ type: BacktestingEventType,\n 528→ backtestId: string,\n 529→ data: Record<string, unknown>,\n 530→ severity: BacktestingEvent['severity'] = 'info'\n 531→ ): void {\n 532→ const event: BacktestingEvent = {\n 533→ id: `evt_${Date.now()}_${Math.random().toString(36).slice(2, 7)}`,\n 534→ type,\n 535→ backtestId,\n 536→ timestamp: new Date(),\n 537→ data,\n 538→ severity,\n 539→ };\n 540→\n 541→ for (const callback of this.eventCallbacks) {\n 542→ try {\n 543→ callback(event);\n 544→ } catch {\n 545→ // Ignore callback errors\n 546→ }\n 547→ }\n 548→ }\n 549→\n 550→ private generateBacktestId(): string {\n 551→ return `bt_${Date.now()}_${Math.random().toString(36).slice(2, 9)}`;\n 552→ }\n 553→}\n 554→\n 555→// ============================================================================\n 556→// Factory Function\n 557→// ============================================================================\n 558→\n 559→export function createBacktestingFramework(\n 560→ config?: Partial<BacktestingFrameworkConfig>\n 561→): DefaultBacktestingFramework {\n 562→ return new DefaultBacktestingFramework(config);\n 563→}\n 564→\n 565→// Default export\n 566→export default DefaultBacktestingFramework;\n 567→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TONAIAgent - Strategy Backtesting Framework\n *\n * Comprehensive historical simulation and validation framework for strategy\n * testing before deploying with live capital.\n *\n * Issue #155: Strategy Backtesting Framework\n *\n * Architecture:\n * Historical Market Data\n * |\n * Market Replay Engine\n * |\n * Strategy Agent Runtime (via BacktestStrategySpec.onCandle)\n * |\n * Simulated Trading Engine\n * |\n * Performance Analysis + Risk Evaluation\n * |\n * Structured Backtest Reports\n *\n * Core Components:\n * 1. HistoricalDataManager — OHLCV candles, trade history, order book, volatility\n * 2. MarketReplayEngine — Sequential, event-driven market replay\n * 3. SimulationEnvironment — Sandboxed capital + order execution\n * 4. PerformanceCalculator — Sharpe, Sortino, drawdown, win rate, VaR\n * 5. BacktestRiskEvaluator — Risk Engine v1 integration (drawdown/concentration/volatility)\n * 6. BacktestReportGenerator — Structured report with equity curve, trade history\n * 7. BacktestingFramework — Unified orchestrator (entry point)\n *\n * @example\n * ```typescript\n * import { createBacktestingFramework } from '@tonaiagent/core/backtesting';\n *\n * const framework = createBacktestingFramework();\n *\n * const result = await framework.run({\n * strategyId: 'strategy_001',\n * strategyName: 'DCA TON',\n * strategySpec: {\n * assets: ['TON'],\n * onCandle: async (candle, portfolio, placeOrder) => {\n * // Buy $100 of TON every day\n * if (portfolio.cash >= 100) {\n * await placeOrder({\n * asset: 'TON',\n * side: 'buy',\n * type: 'market',\n * amount: 100,\n * amountType: 'usd',\n * });\n * }\n * },\n * },\n * dataConfig: {\n * type: 'synthetic',\n * assets: ['TON'],\n * startDate: new Date('2024-01-01'),\n * endDate: new Date('2024-06-30'),\n * granularity: '1d',\n * },\n * simulationConfig: {\n * initialCapital: 10000,\n * currency: 'USD',\n * slippageModel: { type: 'fixed', baseSlippage: 10 },\n * feeModel: { tradingFeePercent: 0.3, gasCostUsd: 0.05 },\n * fillModel: { type: 'immediate' },\n * },\n * riskEvaluation: true,\n * generateReport: true,\n * });\n *\n * console.log(framework.reports.formatSummaryString(result.report!));\n * // Capital Start: 10,000.00 / Capital End: 13,450.00 / Return: +34.5% / ...\n * ```\n */\n\n// ============================================================================\n// Type Exports\n// ============================================================================\n\nexport * from './types';\n\n// ============================================================================\n// Component Exports\n// ============================================================================\n\n// Historical Data Layer\nexport {\n HistoricalDataManager,\n SyntheticDataGenerator,\n JsonDataProvider,\n createHistoricalDataManager,\n createSyntheticDataGenerator,\n createJsonDataProvider,\n granularityToMs,\n countCandles,\n type HistoricalDataProvider,\n} from './historical-data';\n\n// Market Replay Engine\nexport {\n MarketReplayEngine,\n MarketReplaySession,\n createMarketReplayEngine,\n} from './market-replay';\n\n// Simulation Environment\nexport {\n SimulationEnvironment,\n createSimulationEnvironment,\n DEFAULT_SLIPPAGE_MODEL,\n DEFAULT_FEE_MODEL,\n DEFAULT_FILL_MODEL,\n} from './simulation-env';\n\n// Performance Analysis\nexport {\n PerformanceCalculator,\n createPerformanceCalculator,\n} from './performance-analysis';\n\n// Risk Evaluation\nexport {\n BacktestRiskEvaluator,\n createBacktestRiskEvaluator,\n DEFAULT_DRAWDOWN_SCENARIOS,\n DEFAULT_RISK_THRESHOLDS,\n} from './risk-evaluation';\n\n// Report Generator\nexport {\n BacktestReportGenerator,\n createReportGenerator,\n} from './report-generator';\n\n// ============================================================================\n// Unified Backtesting Framework\n// ============================================================================\n\nimport {\n BacktestRunConfig,\n BacktestRunResult,\n BacktestRunStatus,\n BacktestingEvent,\n BacktestingEventCallback,\n BacktestingEventType,\n BacktestingFrameworkConfig,\n DataGranularity,\n OHLCVCandle,\n PortfolioState,\n SimulatedOrder,\n} from './types';\n\nimport {\n HistoricalDataManager,\n createHistoricalDataManager,\n} from './historical-data';\n\nimport {\n MarketReplayEngine,\n createMarketReplayEngine,\n} from './market-replay';\n\nimport {\n SimulationEnvironment,\n DEFAULT_SLIPPAGE_MODEL,\n DEFAULT_FEE_MODEL,\n DEFAULT_FILL_MODEL,\n createSimulationEnvironment,\n} from './simulation-env';\n\nimport {\n PerformanceCalculator,\n createPerformanceCalculator,\n} from './performance-analysis';\n\nimport {\n BacktestRiskEvaluator,\n DEFAULT_RISK_THRESHOLDS,\n createBacktestRiskEvaluator,\n} from './risk-evaluation';\n\nimport {\n BacktestReportGenerator,\n createReportGenerator,\n} from './report-generator';\n\n// ============================================================================\n// Framework Interface\n// ============================================================================\n\nexport interface BacktestingFramework {\n readonly config: BacktestingFrameworkConfig;\n readonly dataManager: HistoricalDataManager;\n readonly replayEngine: MarketReplayEngine;\n readonly performance: PerformanceCalculator;\n readonly riskEvaluator: BacktestRiskEvaluator;\n readonly reports: BacktestReportGenerator;\n\n /** Run a full backtest with the given configuration */\n run(config: BacktestRunConfig): Promise<BacktestRunResult>;\n\n /** Get a previously completed backtest result by ID */\n getResult(backtestId: string): BacktestRunResult | undefined;\n\n /** Get all backtest results */\n getAllResults(): BacktestRunResult[];\n\n /** Subscribe to framework events */\n onEvent(callback: BacktestingEventCallback): void;\n}\n\n// ============================================================================\n// Default Framework Config\n// ============================================================================\n\nexport const DEFAULT_FRAMEWORK_CONFIG: BacktestingFrameworkConfig = {\n defaultDataGranularity: '1h',\n maxDataPointsPerRun: 50000,\n enableDataCaching: true,\n defaultInitialCapital: 10000,\n defaultSlippageModel: DEFAULT_SLIPPAGE_MODEL,\n defaultFeeModel: DEFAULT_FEE_MODEL,\n defaultFillModel: DEFAULT_FILL_MODEL,\n enableMonteCarlo: false,\n defaultMonteCarloSimulations: 1000,\n enableRiskEvaluation: true,\n riskEvaluationThresholds: DEFAULT_RISK_THRESHOLDS,\n reportFormat: 'detailed',\n includeMarketplaceMetrics: true,\n};\n\n// ============================================================================\n// Default Backtesting Framework Implementation\n// ============================================================================\n\nexport class DefaultBacktestingFramework implements BacktestingFramework {\n readonly config: BacktestingFrameworkConfig;\n readonly dataManager: HistoricalDataManager;\n readonly replayEngine: MarketReplayEngine;\n readonly performance: PerformanceCalculator;\n readonly riskEvaluator: BacktestRiskEvaluator;\n readonly reports: BacktestReportGenerator;\n\n private readonly results = new Map<string, BacktestRunResult>();\n private readonly eventCallbacks: BacktestingEventCallback[] = [];\n\n constructor(config: Partial<BacktestingFrameworkConfig> = {}) {\n this.config = { ...DEFAULT_FRAMEWORK_CONFIG, ...config };\n\n this.dataManager = createHistoricalDataManager();\n this.replayEngine = createMarketReplayEngine(this.dataManager);\n this.performance = createPerformanceCalculator();\n this.riskEvaluator = createBacktestRiskEvaluator(\n this.config.riskEvaluationThresholds\n );\n this.reports = createReportGenerator();\n }\n\n /**\n * Run a complete backtest:\n * 1. Load historical data\n * 2. Replay market events sequentially\n * 3. Execute strategy logic on each candle\n * 4. Calculate performance metrics\n * 5. Evaluate risk\n * 6. Generate report\n */\n async run(config: BacktestRunConfig): Promise<BacktestRunResult> {\n const backtestId = config.id ?? this.generateBacktestId();\n const startedAt = new Date();\n\n const result: BacktestRunResult = {\n id: backtestId,\n strategyId: config.strategyId,\n strategyName: config.strategyName,\n config,\n status: 'running',\n startedAt,\n orders: [],\n equityCurve: [],\n warnings: [],\n };\n\n this.results.set(backtestId, result);\n this.emitEvent('backtest_started', backtestId, {\n strategyId: config.strategyId,\n strategyName: config.strategyName,\n });\n\n try {\n // --- Step 1: Initialize simulation environment ---\n const simConfig = {\n initialCapital: config.simulationConfig.initialCapital,\n currency: config.simulationConfig.currency ?? 'USD',\n slippageModel: config.simulationConfig.slippageModel,\n feeModel: config.simulationConfig.feeModel,\n fillModel: config.simulationConfig.fillModel,\n maxPositionSizePercent: config.simulationConfig.maxPositionSizePercent,\n maxDrawdownPercent: config.simulationConfig.maxDrawdownPercent,\n seed: config.simulationConfig.seed,\n };\n\n const simEnv = createSimulationEnvironment(backtestId, simConfig);\n\n // --- Step 2: Call optional strategy start hook ---\n if (config.strategySpec.onStart) {\n await config.strategySpec.onStart(simEnv.getPortfolio());\n }\n\n // --- Step 3: Load data and validate ---\n const validationResult = await this.dataManager.validateData(\n config.dataConfig.assets,\n config.dataConfig.startDate,\n config.dataConfig.endDate,\n config.dataConfig.granularity as DataGranularity\n );\n\n if (!validationResult.valid) {\n this.emitEvent('data_validation_failed', backtestId, {\n errors: validationResult.errors,\n });\n result.status = 'failed';\n result.error = {\n code: 'DATA_VALIDATION_FAILED',\n message: validationResult.errors.join('; '),\n };\n result.completedAt = new Date();\n this.results.set(backtestId, result);\n return result;\n }\n\n if (validationResult.warnings.length > 0) {\n result.warnings.push(...validationResult.warnings);\n }\n\n this.emitEvent('data_loaded', backtestId, {\n candleCount: validationResult.candleCount,\n assetCount: validationResult.assetCount,\n });\n\n // --- Step 4: Create and run market replay session ---\n const session = this.replayEngine.createSession({\n speed: 'instant',\n startDate: config.dataConfig.startDate,\n endDate: config.dataConfig.endDate,\n granularity: config.dataConfig.granularity as DataGranularity,\n assets: config.dataConfig.assets,\n });\n\n await session.initialize();\n\n // Track progress\n let processedCount = 0;\n const totalCount = session.getState().totalCandles;\n\n await session.run(\n async (\n timestamp: Date,\n candles: OHLCVCandle[],\n currentPrices: Map<string, number>\n ) => {\n // Update portfolio valuations first\n simEnv.updatePrices(timestamp, currentPrices);\n\n // Run strategy logic\n await config.strategySpec.onCandle(\n candles[0] ?? {\n timestamp,\n asset: config.dataConfig.assets[0] ?? '',\n open: 0,\n high: 0,\n low: 0,\n close: 0,\n volume: 0,\n },\n simEnv.getPortfolio() as Readonly<PortfolioState>,\n async (orderRequest) => simEnv.placeOrder(orderRequest, currentPrices)\n );\n\n // Emit progress events every 5%\n processedCount++;\n const progress = Math.round((processedCount / totalCount) * 100);\n if (progress % 5 === 0 && processedCount > 1) {\n this.emitEvent('backtest_progress', backtestId, {\n progress,\n processedCandles: processedCount,\n totalCandles: totalCount,\n });\n }\n }\n );\n\n // --- Step 5: Close all positions at end ---\n const finalPrices = new Map<string, number>();\n const equityCurve = simEnv.getEquityCurve();\n if (equityCurve.length > 0) {\n const lastPoint = equityCurve[equityCurve.length - 1];\n for (const [asset, amount] of Object.entries(lastPoint.positions)) {\n if (amount > 0) {\n // Use last known price\n finalPrices.set(asset, amount);\n }\n }\n }\n simEnv.closeAllPositions(finalPrices);\n\n // --- Step 6: Call optional strategy end hook ---\n if (config.strategySpec.onEnd) {\n await config.strategySpec.onEnd(simEnv.getPortfolio());\n }\n\n // --- Step 7: Calculate performance metrics ---\n const allOrders = simEnv.getOrders();\n const finalEquityCurve = simEnv.getEquityCurve();\n const performanceReport = this.performance.buildReport(\n backtestId,\n config.strategyName,\n config.simulationConfig.initialCapital,\n finalEquityCurve,\n allOrders\n );\n\n result.orders = allOrders;\n result.equityCurve = finalEquityCurve;\n result.performance = performanceReport;\n result.finalPortfolio = { ...simEnv.getPortfolio() } as PortfolioState;\n\n // --- Step 8: Risk evaluation ---\n if (config.riskEvaluation ?? this.config.enableRiskEvaluation) {\n const riskResult = this.riskEvaluator.evaluate(\n backtestId,\n performanceReport,\n allOrders,\n finalEquityCurve\n );\n result.riskEvaluation = riskResult;\n\n this.emitEvent('risk_evaluated', backtestId, {\n riskGrade: riskResult.riskGrade,\n riskScore: riskResult.overallRiskScore,\n passed: riskResult.passed,\n });\n }\n\n // --- Step 9: Monte Carlo analysis ---\n if (config.monteCarlo?.enabled) {\n const monteCarlo = this.performance.runMonteCarlo(\n allOrders,\n config.monteCarlo.simulations,\n config.monteCarlo.confidenceLevel\n );\n\n if (result.report) {\n result.report = this.reports.attachMonteCarlo(result.report, monteCarlo);\n }\n }\n\n // --- Step 10: Generate full report ---\n if (config.generateReport ?? true) {\n if (result.performance && result.riskEvaluation) {\n const report = this.reports.generateReport(result);\n result.report = report;\n\n this.emitEvent('report_generated', backtestId, {\n reportId: report.id,\n riskGrade: report.summary.riskGrade,\n });\n }\n }\n\n // Mark as completed\n result.status = 'completed';\n result.completedAt = new Date();\n result.durationMs = result.completedAt.getTime() - startedAt.getTime();\n\n this.results.set(backtestId, result);\n\n this.emitEvent('backtest_completed', backtestId, {\n status: 'completed',\n durationMs: result.durationMs,\n totalReturn: result.performance?.summary.totalReturn,\n sharpeRatio: result.performance?.risk.sharpeRatio,\n });\n\n return result;\n\n } catch (error) {\n result.status = 'failed';\n result.completedAt = new Date();\n result.durationMs = result.completedAt.getTime() - startedAt.getTime();\n result.error = {\n code: 'BACKTEST_ERROR',\n message: error instanceof Error ? error.message : String(error),\n };\n\n this.results.set(backtestId, result);\n\n this.emitEvent('backtest_failed', backtestId, {\n error: result.error.message,\n });\n\n return result;\n }\n }\n\n getResult(backtestId: string): BacktestRunResult | undefined {\n return this.results.get(backtestId);\n }\n\n getAllResults(): BacktestRunResult[] {\n return Array.from(this.results.values()).sort(\n (a, b) => b.startedAt.getTime() - a.startedAt.getTime()\n );\n }\n\n onEvent(callback: BacktestingEventCallback): void {\n this.eventCallbacks.push(callback);\n }\n\n // ============================================================================\n // Private Methods\n // ============================================================================\n\n private emitEvent(\n type: BacktestingEventType,\n backtestId: string,\n data: Record<string, unknown>,\n severity: BacktestingEvent['severity'] = 'info'\n ): void {\n const event: BacktestingEvent = {\n id: `evt_${Date.now()}_${Math.random().toString(36).slice(2, 7)}`,\n type,\n backtestId,\n timestamp: new Date(),\n data,\n severity,\n };\n\n for (const callback of this.eventCallbacks) {\n try {\n callback(event);\n } catch {\n // Ignore callback errors\n }\n }\n }\n\n private generateBacktestId(): string {\n return `bt_${Date.now()}_${Math.random().toString(36).slice(2, 9)}`;\n }\n}\n\n// ============================================================================\n// Factory Function\n// ============================================================================\n\nexport function createBacktestingFramework(\n config?: Partial<BacktestingFrameworkConfig>\n): DefaultBacktestingFramework {\n return new DefaultBacktestingFramework(config);\n}\n\n// Default export\nexport default DefaultBacktestingFramework;\n", | |
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| "content": " 1→/**\n 2→ * TONAIAgent - Strategy Backtesting Framework Type Definitions\n 3→ *\n 4→ * Core types for the standalone backtesting framework that enables\n 5→ * historical strategy validation before live capital deployment.\n 6→ *\n 7→ * Issue #155: Strategy Backtesting Framework\n 8→ */\n 9→\n 10→// ============================================================================\n 11→// Primitive Type Aliases\n 12→// ============================================================================\n 13→\n 14→export type AssetSymbol = string;\n 15→export type BacktestId = string;\n 16→export type ReportId = string;\n 17→export type SessionId = string;\n 18→\n 19→// ============================================================================\n 20→// Historical Market Data Types\n 21→// ============================================================================\n 22→\n 23→export type DataGranularity =\n 24→ | '1m'\n 25→ | '5m'\n 26→ | '15m'\n 27→ | '30m'\n 28→ | '1h'\n 29→ | '4h'\n 30→ | '1d'\n 31→ | '1w';\n 32→\n 33→export interface OHLCVCandle {\n 34→ timestamp: Date;\n 35→ asset: AssetSymbol;\n 36→ open: number;\n 37→ high: number;\n 38→ low: number;\n 39→ close: number;\n 40→ volume: number;\n 41→ volumeUsd?: number;\n 42→}\n 43→\n 44→export interface TradeRecord {\n 45→ timestamp: Date;\n 46→ asset: AssetSymbol;\n 47→ price: number;\n 48→ size: number;\n 49→ side: 'buy' | 'sell';\n 50→ tradeId?: string;\n 51→}\n 52→\n 53→export interface OrderBookSnapshot {\n 54→ timestamp: Date;\n 55→ asset: AssetSymbol;\n 56→ bids: Array<{ price: number; size: number }>;\n 57→ asks: Array<{ price: number; size: number }>;\n 58→ midPrice: number;\n 59→ spread: number;\n 60→}\n 61→\n 62→export interface VolatilityIndicator {\n 63→ timestamp: Date;\n 64→ asset: AssetSymbol;\n 65→ historicalVolatility: number; // annualized, percentage\n 66→ atr: number; // Average True Range\n 67→ bollingerBandWidth: number; // Bollinger Band Width\n 68→ vixEquivalent?: number; // TON market VIX-equivalent\n 69→}\n 70→\n 71→export interface MarketDataSnapshot {\n 72→ timestamp: Date;\n 73→ candle: OHLCVCandle;\n 74→ orderBook?: OrderBookSnapshot;\n 75→ volatility?: VolatilityIndicator;\n 76→ tradeHistory?: TradeRecord[];\n 77→}\n 78→\n 79→// ============================================================================\n 80→// Data Source & Provider Types\n 81→// ============================================================================\n 82→\n 83→export type DataSourceType =\n 84→ | 'synthetic'\n 85→ | 'csv'\n 86→ | 'json'\n 87→ | 'api'\n 88→ | 'database';\n 89→\n 90→export interface DataSourceConfig {\n 91→ type: DataSourceType;\n 92→ assets: AssetSymbol[];\n 93→ startDate: Date;\n 94→ endDate: Date;\n 95→ granularity: DataGranularity;\n 96→ // For file-based sources\n 97→ filePath?: string;\n 98→ // For API sources\n 99→ apiEndpoint?: string;\n 100→ apiKey?: string;\n 101→ // For synthetic data generation\n 102→ syntheticConfig?: SyntheticDataConfig;\n 103→}\n 104→\n 105→export interface SyntheticDataConfig {\n 106→ initialPrices: Record<AssetSymbol, number>;\n 107→ volatility: number; // daily volatility (0-1)\n 108→ drift: number; // daily drift (-1 to 1)\n 109→ seed?: number; // for deterministic generation\n 110→ includeGaps?: boolean; // simulate data gaps\n 111→ gapProbability?: number; // probability of gap at each step\n 112→}\n 113→\n 114→export interface DataValidationResult {\n 115→ valid: boolean;\n 116→ assetCount: number;\n 117→ candleCount: number;\n 118→ dateRange: { start: Date; end: Date };\n 119→ missingDataPoints: number;\n 120→ gaps: Array<{ asset: AssetSymbol; from: Date; to: Date }>;\n 121→ warnings: string[];\n 122→ errors: string[];\n 123→}\n 124→\n 125→// ============================================================================\n 126→// Market Replay Engine Types\n 127→// ============================================================================\n 128→\n 129→export type ReplaySpeed = 'realtime' | 'fast' | 'instant' | number;\n 130→\n 131→export interface ReplayConfig {\n 132→ speed: ReplaySpeed;\n 133→ startDate: Date;\n 134→ endDate: Date;\n 135→ granularity: DataGranularity;\n 136→ assets: AssetSymbol[];\n 137→ // Replay precision settings\n 138→ enableOrderBookReplay?: boolean;\n 139→ enableTradeHistoryReplay?: boolean;\n 140→ enableVolatilityIndicators?: boolean;\n 141→}\n 142→\n 143→export interface ReplayState {\n 144→ sessionId: SessionId;\n 145→ currentTime: Date;\n 146→ startTime: Date;\n 147→ endTime: Date;\n 148→ status: ReplayStatus;\n 149→ processedCandles: number;\n 150→ totalCandles: number;\n 151→ progressPercent: number;\n 152→}\n 153→\n 154→export type ReplayStatus =\n 155→ | 'idle'\n 156→ | 'running'\n 157→ | 'paused'\n 158→ | 'completed'\n 159→ | 'cancelled'\n 160→ | 'error';\n 161→\n 162→export interface ReplayEvent {\n 163→ id: string;\n 164→ sessionId: SessionId;\n 165→ timestamp: Date;\n 166→ type: ReplayEventType;\n 167→ data: MarketDataSnapshot | Record<string, unknown>;\n 168→}\n 169→\n 170→export type ReplayEventType =\n 171→ | 'candle_closed'\n 172→ | 'price_updated'\n 173→ | 'orderbook_updated'\n 174→ | 'volatility_updated'\n 175→ | 'session_started'\n 176→ | 'session_completed'\n 177→ | 'session_paused'\n 178→ | 'session_cancelled';\n 179→\n 180→export type ReplayEventCallback = (event: ReplayEvent) => void | Promise<void>;\n 181→\n 182→// ============================================================================\n 183→// Simulated Trading Environment Types\n 184→// ============================================================================\n 185→\n 186→export interface SimulationConfig {\n 187→ sessionId: SessionId;\n 188→ initialCapital: number;\n 189→ currency: string;\n 190→ slippageModel: SlippageModel;\n 191→ feeModel: FeeModel;\n 192→ fillModel: FillModel;\n 193→ // Risk limits\n 194→ maxPositionSizePercent?: number;\n 195→ maxDrawdownPercent?: number;\n 196→ // Deterministic simulation\n 197→ seed?: number;\n 198→}\n 199→\n 200→export interface SlippageModel {\n 201→ type: 'fixed' | 'volume_based' | 'market_impact';\n 202→ baseSlippage: number; // basis points\n 203→ volumeImpactFactor?: number; // for volume_based\n 204→ marketImpactExponent?: number; // for market_impact\n 205→}\n 206→\n 207→export interface FeeModel {\n 208→ tradingFeePercent: number; // e.g. 0.3 for 0.3%\n 209→ gasCostUsd: number; // fixed gas cost per trade\n 210→ protocolFeePercent?: number; // optional protocol fee\n 211→ makerFeePercent?: number;\n 212→ takerFeePercent?: number;\n 213→}\n 214→\n 215→export interface FillModel {\n 216→ type: 'immediate' | 'limit' | 'realistic';\n 217→ // For 'realistic': partial fill probability based on order size vs volume\n 218→ partialFillProbability?: number;\n 219→ // Maximum fill percent for large orders\n 220→ maxFillPercent?: number;\n 221→}\n 222→\n 223→export interface SimulatedOrder {\n 224→ id: string;\n 225→ sessionId: SessionId;\n 226→ timestamp: Date;\n 227→ asset: AssetSymbol;\n 228→ side: 'buy' | 'sell';\n 229→ type: 'market' | 'limit' | 'stop';\n 230→ requestedAmount: number;\n 231→ filledAmount: number;\n 232→ requestedPrice?: number;\n 233→ executedPrice: number;\n 234→ fees: number;\n 235→ slippage: number;\n 236→ status: OrderStatus;\n 237→ metadata?: Record<string, unknown>;\n 238→}\n 239→\n 240→export type OrderStatus =\n 241→ | 'pending'\n 242→ | 'filled'\n 243→ | 'partially_filled'\n 244→ | 'cancelled'\n 245→ | 'rejected';\n 246→\n 247→export interface SimulatedPosition {\n 248→ asset: AssetSymbol;\n 249→ amount: number;\n 250→ entryPrice: number;\n 251→ currentPrice: number;\n 252→ entryTime: Date;\n 253→ unrealizedPnl: number;\n 254→ unrealizedPnlPercent: number;\n 255→ positionValue: number;\n 256→ costBasis: number;\n 257→}\n 258→\n 259→export interface PortfolioState {\n 260→ sessionId: SessionId;\n 261→ timestamp: Date;\n 262→ cash: number;\n 263→ positions: Map<AssetSymbol, SimulatedPosition>;\n 264→ totalValue: number;\n 265→ unrealizedPnl: number;\n 266→ realizedPnl: number;\n 267→ totalPnl: number;\n 268→ drawdown: number;\n 269→ maxEquity: number;\n 270→ peakEquity: number;\n 271→}\n 272→\n 273→// ============================================================================\n 274→// Performance Analysis Types\n 275→// ============================================================================\n 276→\n 277→export interface PerformanceReport {\n 278→ backtestId: BacktestId;\n 279→ strategyName: string;\n 280→ period: { start: Date; end: Date; durationDays: number };\n 281→ summary: PerformanceSummary;\n 282→ returns: ReturnMetrics;\n 283→ risk: RiskMetrics;\n 284→ trades: TradeMetrics;\n 285→ equityCurve: EquityCurvePoint[];\n 286→ drawdownCurve: DrawdownPoint[];\n 287→ monthlyReturns: MonthlyReturn[];\n 288→ benchmark?: BenchmarkComparison;\n 289→}\n 290→\n 291→export interface PerformanceSummary {\n 292→ capitalStart: number;\n 293→ capitalEnd: number;\n 294→ totalReturn: number; // percentage\n 295→ annualizedReturn: number; // percentage\n 296→ absoluteProfit: number; // in currency\n 297→}\n 298→\n 299→export interface ReturnMetrics {\n 300→ totalReturn: number;\n 301→ annualizedReturn: number;\n 302→ monthlyReturnAvg: number;\n 303→ bestMonth: number;\n 304→ worstMonth: number;\n 305→ positiveMonths: number;\n 306→ negativeMonths: number;\n 307→}\n 308→\n 309→export interface RiskMetrics {\n 310→ maxDrawdown: number; // percentage\n 311→ maxDrawdownDuration: number; // days\n 312→ currentDrawdown: number; // percentage\n 313→ volatility: number; // annualized percentage\n 314→ downSideDeviation: number;\n 315→ sharpeRatio: number;\n 316→ sortinoRatio: number;\n 317→ calmarRatio: number;\n 318→ var95: number; // Value at Risk 95%\n 319→ cvar95: number; // Conditional VaR 95%\n 320→ beta?: number;\n 321→ correlation?: number;\n 322→}\n 323→\n 324→export interface TradeMetrics {\n 325→ totalTrades: number;\n 326→ winningTrades: number;\n 327→ losingTrades: number;\n 328→ winRate: number; // percentage\n 329→ averageWin: number;\n 330→ averageLoss: number;\n 331→ largestWin: number;\n 332→ largestLoss: number;\n 333→ profitFactor: number; // gross profit / gross loss\n 334→ expectancy: number; // expected value per trade\n 335→ averageHoldingDays: number;\n 336→ totalFeesPaid: number;\n 337→ totalSlippage: number;\n 338→ avgSlippage: number;\n 339→}\n 340→\n 341→export interface EquityCurvePoint {\n 342→ timestamp: Date;\n 343→ equity: number;\n 344→ drawdown: number; // current drawdown percentage\n 345→ positions: Record<AssetSymbol, number>;\n 346→ cash: number;\n 347→}\n 348→\n 349→export interface DrawdownPoint {\n 350→ timestamp: Date;\n 351→ drawdown: number;\n 352→ drawdownDuration: number; // days since peak\n 353→}\n 354→\n 355→export interface MonthlyReturn {\n 356→ year: number;\n 357→ month: number;\n 358→ return: number; // percentage\n 359→ trades: number;\n 360→}\n 361→\n 362→export interface BenchmarkComparison {\n 363→ benchmarkName: string;\n 364→ benchmarkReturn: number;\n 365→ strategyReturn: number;\n 366→ alpha: number;\n 367→ beta?: number;\n 368→ informationRatio?: number;\n 369→}\n 370→\n 371→// ============================================================================\n 372→// Risk Evaluation Integration Types\n 373→// ============================================================================\n 374→\n 375→export interface DrawdownScenario {\n 376→ name: string;\n 377→ description: string;\n 378→ maxDrawdownThreshold: number; // percentage\n 379→ durationDays?: number;\n 380→ triggerConditions: string[];\n 381→}\n 382→\n 383→export interface ConcentrationRisk {\n 384→ asset: AssetSymbol;\n 385→ currentExposure: number; // percentage of portfolio\n 386→ maxAllowedExposure: number; // percentage\n 387→ riskScore: number; // 0-100\n 388→ alert: boolean;\n 389→}\n 390→\n 391→export interface ExposureVolatility {\n 392→ asset: AssetSymbol;\n 393→ exposurePercent: number;\n 394→ volatility30d: number;\n 395→ volatilityAdjustedExposure: number;\n 396→ riskContribution: number; // contribution to portfolio volatility\n 397→}\n 398→\n 399→export interface RiskEvaluationResult {\n 400→ backtestId: BacktestId;\n 401→ evaluatedAt: Date;\n 402→ overallRiskScore: number; // 0-100\n 403→ riskGrade: RiskGrade;\n 404→ drawdownAnalysis: DrawdownAnalysis;\n 405→ concentrationRisks: ConcentrationRisk[];\n 406→ exposureVolatility: ExposureVolatility[];\n 407→ recommendations: RiskRecommendation[];\n 408→ passed: boolean;\n 409→ failureReasons: string[];\n 410→}\n 411→\n 412→export type RiskGrade = 'A' | 'B' | 'C' | 'D' | 'F';\n 413→\n 414→export interface DrawdownAnalysis {\n 415→ maxObservedDrawdown: number;\n 416→ drawdownScenarios: DrawdownScenarioResult[];\n 417→ worstCaseEstimate: number; // from Monte Carlo\n 418→ timeToRecoveryAvg: number; // average recovery days\n 419→}\n 420→\n 421→export interface DrawdownScenarioResult {\n 422→ scenario: DrawdownScenario;\n 423→ strategyWouldSurvive: boolean;\n 424→ estimatedImpact: number; // percentage loss\n 425→ recoveryTimeDays: number;\n 426→}\n 427→\n 428→export interface RiskRecommendation {\n 429→ type: 'position_sizing' | 'diversification' | 'stop_loss' | 'exposure_limit' | 'leverage';\n 430→ severity: 'info' | 'warning' | 'critical';\n 431→ description: string;\n 432→ suggestedAction: string;\n 433→}\n 434→\n 435→// ============================================================================\n 436→// Backtest Report Types\n 437→// ============================================================================\n 438→\n 439→export interface BacktestReport {\n 440→ id: ReportId;\n 441→ backtestId: BacktestId;\n 442→ generatedAt: Date;\n 443→ strategyName: string;\n 444→ version: string;\n 445→ // Core sections\n 446→ summary: ReportSummary;\n 447→ performance: PerformanceReport;\n 448→ riskEvaluation: RiskEvaluationResult;\n 449→ tradeHistory: SimulatedOrder[];\n 450→ equityCurve: EquityCurvePoint[];\n 451→ // Optional enhanced analysis\n 452→ monteCarlo?: MonteCarloAnalysis;\n 453→ optimizationHints?: OptimizationHint[];\n 454→ marketplaceMetrics?: MarketplaceMetrics;\n 455→}\n 456→\n 457→export interface ReportSummary {\n 458→ // As per issue requirement example format:\n 459→ // Capital Start: 10,000 / Capital End: 13,450 / Return: +34.5% / Max Drawdown: -7.2% / Sharpe Ratio: 1.85\n 460→ capitalStart: number;\n 461→ capitalEnd: number;\n 462→ totalReturnPercent: number;\n 463→ maxDrawdownPercent: number;\n 464→ sharpeRatio: number;\n 465→ totalTrades: number;\n 466→ winRate: number;\n 467→ backtestPeriod: string; // human-readable, e.g. \"Jan 2024 – Jun 2024\"\n 468→ dataGranularity: DataGranularity;\n 469→ riskGrade: RiskGrade;\n 470→}\n 471→\n 472→export interface MonteCarloAnalysis {\n 473→ simulations: number;\n 474→ confidenceLevel: number; // e.g. 0.95\n 475→ expectedReturn: number;\n 476→ var95: number;\n 477→ cvar95: number;\n 478→ worstCase: number;\n 479→ bestCase: number;\n 480→ probabilityOfProfit: number; // percentage\n 481→ returnDistribution: number[];\n 482→}\n 483→\n 484→export interface OptimizationHint {\n 485→ parameterName: string;\n 486→ currentValue: number | string;\n 487→ suggestedValue: number | string;\n 488→ expectedImprovement: number;\n 489→ confidence: number;\n 490→}\n 491→\n 492→export interface MarketplaceMetrics {\n 493→ strategyRating: number; // 1-5 stars\n 494→ riskCategory: 'conservative' | 'moderate' | 'aggressive' | 'speculative';\n 495→ suitableForBeginners: boolean;\n 496→ minimumCapital: number;\n 497→ backtestScore: number; // 0-100 composite score\n 498→ consistencyScore: number; // 0-100 consistency of returns\n 499→}\n 500→\n 501→// ============================================================================\n 502→// Backtesting Framework Config & Events\n 503→// ============================================================================\n 504→\n 505→export interface BacktestingFrameworkConfig {\n 506→ // Data layer config\n 507→ defaultDataGranularity: DataGranularity;\n 508→ maxDataPointsPerRun: number;\n 509→ enableDataCaching: boolean;\n 510→ // Simulation defaults\n 511→ defaultInitialCapital: number;\n 512→ defaultSlippageModel: SlippageModel;\n 513→ defaultFeeModel: FeeModel;\n 514→ defaultFillModel: FillModel;\n 515→ // Performance\n 516→ enableMonteCarlo: boolean;\n 517→ defaultMonteCarloSimulations: number;\n 518→ // Risk evaluation integration\n 519→ enableRiskEvaluation: boolean;\n 520→ riskEvaluationThresholds: RiskThresholds;\n 521→ // Reporting\n 522→ reportFormat: 'json' | 'detailed';\n 523→ includeMarketplaceMetrics: boolean;\n 524→}\n 525→\n 526→export interface RiskThresholds {\n 527→ maxAcceptableDrawdown: number; // percentage, e.g. 30\n 528→ minAcceptableSharpe: number; // e.g. 0.5\n 529→ maxConcentrationPercent: number; // e.g. 40\n 530→ minWinRate: number; // percentage, e.g. 30\n 531→}\n 532→\n 533→export type BacktestingEventType =\n 534→ | 'backtest_started'\n 535→ | 'backtest_progress'\n 536→ | 'backtest_completed'\n 537→ | 'backtest_failed'\n 538→ | 'backtest_cancelled'\n 539→ | 'report_generated'\n 540→ | 'risk_evaluated'\n 541→ | 'data_loaded'\n 542→ | 'data_validation_failed';\n 543→\n 544→export interface BacktestingEvent {\n 545→ id: string;\n 546→ type: BacktestingEventType;\n 547→ backtestId: BacktestId;\n 548→ timestamp: Date;\n 549→ data: Record<string, unknown>;\n 550→ severity: 'info' | 'warning' | 'error';\n 551→}\n 552→\n 553→export type BacktestingEventCallback = (event: BacktestingEvent) => void;\n 554→\n 555→export interface BacktestRunConfig {\n 556→ id?: BacktestId;\n 557→ strategyId: string;\n 558→ strategyName: string;\n 559→ strategySpec: BacktestStrategySpec;\n 560→ dataConfig: DataSourceConfig;\n 561→ simulationConfig: Omit<SimulationConfig, 'sessionId'>;\n 562→ monteCarlo?: { enabled: boolean; simulations: number; confidenceLevel: number };\n 563→ riskEvaluation?: boolean;\n 564→ generateReport?: boolean;\n 565→}\n 566→\n 567→/**\n 568→ * Minimal strategy specification for backtesting.\n 569→ * This is framework-agnostic to allow testing any strategy.\n 570→ */\n 571→export interface BacktestStrategySpec {\n 572→ assets: AssetSymbol[];\n 573→ // Strategy logic as an event-driven callback\n 574→ onCandle: (\n 575→ candle: OHLCVCandle,\n 576→ portfolio: Readonly<PortfolioState>,\n 577→ placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n 578→ ) => void | Promise<void>;\n 579→ // Optional lifecycle hooks\n 580→ onStart?: (portfolio: Readonly<PortfolioState>) => void | Promise<void>;\n 581→ onEnd?: (portfolio: Readonly<PortfolioState>) => void | Promise<void>;\n 582→ parameters?: Record<string, number | string | boolean>;\n 583→}\n 584→\n 585→export interface PlaceOrderRequest {\n 586→ asset: AssetSymbol;\n 587→ side: 'buy' | 'sell';\n 588→ type: 'market' | 'limit' | 'stop';\n 589→ amount: number; // in base asset units OR as percent if amountType='percent'\n 590→ amountType?: 'units' | 'percent' | 'usd';\n 591→ limitPrice?: number; // for limit orders\n 592→ stopPrice?: number; // for stop orders\n 593→ metadata?: Record<string, unknown>;\n 594→}\n 595→\n 596→export interface BacktestRunResult {\n 597→ id: BacktestId;\n 598→ strategyId: string;\n 599→ strategyName: string;\n 600→ config: BacktestRunConfig;\n 601→ status: BacktestRunStatus;\n 602→ startedAt: Date;\n 603→ completedAt?: Date;\n 604→ durationMs?: number;\n 605→ performance?: PerformanceReport;\n 606→ riskEvaluation?: RiskEvaluationResult;\n 607→ report?: BacktestReport;\n 608→ orders: SimulatedOrder[];\n 609→ equityCurve: EquityCurvePoint[];\n 610→ finalPortfolio?: PortfolioState;\n 611→ error?: { code: string; message: string };\n 612→ warnings: string[];\n 613→}\n 614→\n 615→export type BacktestRunStatus =\n 616→ | 'pending'\n 617→ | 'running'\n 618→ | 'completed'\n 619→ | 'failed'\n 620→ | 'cancelled';\n 621→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TONAIAgent - Strategy Backtesting Framework Type Definitions\n *\n * Core types for the standalone backtesting framework that enables\n * historical strategy validation before live capital deployment.\n *\n * Issue #155: Strategy Backtesting Framework\n */\n\n// ============================================================================\n// Primitive Type Aliases\n// ============================================================================\n\nexport type AssetSymbol = string;\nexport type BacktestId = string;\nexport type ReportId = string;\nexport type SessionId = string;\n\n// ============================================================================\n// Historical Market Data Types\n// ============================================================================\n\nexport type DataGranularity =\n | '1m'\n | '5m'\n | '15m'\n | '30m'\n | '1h'\n | '4h'\n | '1d'\n | '1w';\n\nexport interface OHLCVCandle {\n timestamp: Date;\n asset: AssetSymbol;\n open: number;\n high: number;\n low: number;\n close: number;\n volume: number;\n volumeUsd?: number;\n}\n\nexport interface TradeRecord {\n timestamp: Date;\n asset: AssetSymbol;\n price: number;\n size: number;\n side: 'buy' | 'sell';\n tradeId?: string;\n}\n\nexport interface OrderBookSnapshot {\n timestamp: Date;\n asset: AssetSymbol;\n bids: Array<{ price: number; size: number }>;\n asks: Array<{ price: number; size: number }>;\n midPrice: number;\n spread: number;\n}\n\nexport interface VolatilityIndicator {\n timestamp: Date;\n asset: AssetSymbol;\n historicalVolatility: number; // annualized, percentage\n atr: number; // Average True Range\n bollingerBandWidth: number; // Bollinger Band Width\n vixEquivalent?: number; // TON market VIX-equivalent\n}\n\nexport interface MarketDataSnapshot {\n timestamp: Date;\n candle: OHLCVCandle;\n orderBook?: OrderBookSnapshot;\n volatility?: VolatilityIndicator;\n tradeHistory?: TradeRecord[];\n}\n\n// ============================================================================\n// Data Source & Provider Types\n// ============================================================================\n\nexport type DataSourceType =\n | 'synthetic'\n | 'csv'\n | 'json'\n | 'api'\n | 'database';\n\nexport interface DataSourceConfig {\n type: DataSourceType;\n assets: AssetSymbol[];\n startDate: Date;\n endDate: Date;\n granularity: DataGranularity;\n // For file-based sources\n filePath?: string;\n // For API sources\n apiEndpoint?: string;\n apiKey?: string;\n // For synthetic data generation\n syntheticConfig?: SyntheticDataConfig;\n}\n\nexport interface SyntheticDataConfig {\n initialPrices: Record<AssetSymbol, number>;\n volatility: number; // daily volatility (0-1)\n drift: number; // daily drift (-1 to 1)\n seed?: number; // for deterministic generation\n includeGaps?: boolean; // simulate data gaps\n gapProbability?: number; // probability of gap at each step\n}\n\nexport interface DataValidationResult {\n valid: boolean;\n assetCount: number;\n candleCount: number;\n dateRange: { start: Date; end: Date };\n missingDataPoints: number;\n gaps: Array<{ asset: AssetSymbol; from: Date; to: Date }>;\n warnings: string[];\n errors: string[];\n}\n\n// ============================================================================\n// Market Replay Engine Types\n// ============================================================================\n\nexport type ReplaySpeed = 'realtime' | 'fast' | 'instant' | number;\n\nexport interface ReplayConfig {\n speed: ReplaySpeed;\n startDate: Date;\n endDate: Date;\n granularity: DataGranularity;\n assets: AssetSymbol[];\n // Replay precision settings\n enableOrderBookReplay?: boolean;\n enableTradeHistoryReplay?: boolean;\n enableVolatilityIndicators?: boolean;\n}\n\nexport interface ReplayState {\n sessionId: SessionId;\n currentTime: Date;\n startTime: Date;\n endTime: Date;\n status: ReplayStatus;\n processedCandles: number;\n totalCandles: number;\n progressPercent: number;\n}\n\nexport type ReplayStatus =\n | 'idle'\n | 'running'\n | 'paused'\n | 'completed'\n | 'cancelled'\n | 'error';\n\nexport interface ReplayEvent {\n id: string;\n sessionId: SessionId;\n timestamp: Date;\n type: ReplayEventType;\n data: MarketDataSnapshot | Record<string, unknown>;\n}\n\nexport type ReplayEventType =\n | 'candle_closed'\n | 'price_updated'\n | 'orderbook_updated'\n | 'volatility_updated'\n | 'session_started'\n | 'session_completed'\n | 'session_paused'\n | 'session_cancelled';\n\nexport type ReplayEventCallback = (event: ReplayEvent) => void | Promise<void>;\n\n// ============================================================================\n// Simulated Trading Environment Types\n// ============================================================================\n\nexport interface SimulationConfig {\n sessionId: SessionId;\n initialCapital: number;\n currency: string;\n slippageModel: SlippageModel;\n feeModel: FeeModel;\n fillModel: FillModel;\n // Risk limits\n maxPositionSizePercent?: number;\n maxDrawdownPercent?: number;\n // Deterministic simulation\n seed?: number;\n}\n\nexport interface SlippageModel {\n type: 'fixed' | 'volume_based' | 'market_impact';\n baseSlippage: number; // basis points\n volumeImpactFactor?: number; // for volume_based\n marketImpactExponent?: number; // for market_impact\n}\n\nexport interface FeeModel {\n tradingFeePercent: number; // e.g. 0.3 for 0.3%\n gasCostUsd: number; // fixed gas cost per trade\n protocolFeePercent?: number; // optional protocol fee\n makerFeePercent?: number;\n takerFeePercent?: number;\n}\n\nexport interface FillModel {\n type: 'immediate' | 'limit' | 'realistic';\n // For 'realistic': partial fill probability based on order size vs volume\n partialFillProbability?: number;\n // Maximum fill percent for large orders\n maxFillPercent?: number;\n}\n\nexport interface SimulatedOrder {\n id: string;\n sessionId: SessionId;\n timestamp: Date;\n asset: AssetSymbol;\n side: 'buy' | 'sell';\n type: 'market' | 'limit' | 'stop';\n requestedAmount: number;\n filledAmount: number;\n requestedPrice?: number;\n executedPrice: number;\n fees: number;\n slippage: number;\n status: OrderStatus;\n metadata?: Record<string, unknown>;\n}\n\nexport type OrderStatus =\n | 'pending'\n | 'filled'\n | 'partially_filled'\n | 'cancelled'\n | 'rejected';\n\nexport interface SimulatedPosition {\n asset: AssetSymbol;\n amount: number;\n entryPrice: number;\n currentPrice: number;\n entryTime: Date;\n unrealizedPnl: number;\n unrealizedPnlPercent: number;\n positionValue: number;\n costBasis: number;\n}\n\nexport interface PortfolioState {\n sessionId: SessionId;\n timestamp: Date;\n cash: number;\n positions: Map<AssetSymbol, SimulatedPosition>;\n totalValue: number;\n unrealizedPnl: number;\n realizedPnl: number;\n totalPnl: number;\n drawdown: number;\n maxEquity: number;\n peakEquity: number;\n}\n\n// ============================================================================\n// Performance Analysis Types\n// ============================================================================\n\nexport interface PerformanceReport {\n backtestId: BacktestId;\n strategyName: string;\n period: { start: Date; end: Date; durationDays: number };\n summary: PerformanceSummary;\n returns: ReturnMetrics;\n risk: RiskMetrics;\n trades: TradeMetrics;\n equityCurve: EquityCurvePoint[];\n drawdownCurve: DrawdownPoint[];\n monthlyReturns: MonthlyReturn[];\n benchmark?: BenchmarkComparison;\n}\n\nexport interface PerformanceSummary {\n capitalStart: number;\n capitalEnd: number;\n totalReturn: number; // percentage\n annualizedReturn: number; // percentage\n absoluteProfit: number; // in currency\n}\n\nexport interface ReturnMetrics {\n totalReturn: number;\n annualizedReturn: number;\n monthlyReturnAvg: number;\n bestMonth: number;\n worstMonth: number;\n positiveMonths: number;\n negativeMonths: number;\n}\n\nexport interface RiskMetrics {\n maxDrawdown: number; // percentage\n maxDrawdownDuration: number; // days\n currentDrawdown: number; // percentage\n volatility: number; // annualized percentage\n downSideDeviation: number;\n sharpeRatio: number;\n sortinoRatio: number;\n calmarRatio: number;\n var95: number; // Value at Risk 95%\n cvar95: number; // Conditional VaR 95%\n beta?: number;\n correlation?: number;\n}\n\nexport interface TradeMetrics {\n totalTrades: number;\n winningTrades: number;\n losingTrades: number;\n winRate: number; // percentage\n averageWin: number;\n averageLoss: number;\n largestWin: number;\n largestLoss: number;\n profitFactor: number; // gross profit / gross loss\n expectancy: number; // expected value per trade\n averageHoldingDays: number;\n totalFeesPaid: number;\n totalSlippage: number;\n avgSlippage: number;\n}\n\nexport interface EquityCurvePoint {\n timestamp: Date;\n equity: number;\n drawdown: number; // current drawdown percentage\n positions: Record<AssetSymbol, number>;\n cash: number;\n}\n\nexport interface DrawdownPoint {\n timestamp: Date;\n drawdown: number;\n drawdownDuration: number; // days since peak\n}\n\nexport interface MonthlyReturn {\n year: number;\n month: number;\n return: number; // percentage\n trades: number;\n}\n\nexport interface BenchmarkComparison {\n benchmarkName: string;\n benchmarkReturn: number;\n strategyReturn: number;\n alpha: number;\n beta?: number;\n informationRatio?: number;\n}\n\n// ============================================================================\n// Risk Evaluation Integration Types\n// ============================================================================\n\nexport interface DrawdownScenario {\n name: string;\n description: string;\n maxDrawdownThreshold: number; // percentage\n durationDays?: number;\n triggerConditions: string[];\n}\n\nexport interface ConcentrationRisk {\n asset: AssetSymbol;\n currentExposure: number; // percentage of portfolio\n maxAllowedExposure: number; // percentage\n riskScore: number; // 0-100\n alert: boolean;\n}\n\nexport interface ExposureVolatility {\n asset: AssetSymbol;\n exposurePercent: number;\n volatility30d: number;\n volatilityAdjustedExposure: number;\n riskContribution: number; // contribution to portfolio volatility\n}\n\nexport interface RiskEvaluationResult {\n backtestId: BacktestId;\n evaluatedAt: Date;\n overallRiskScore: number; // 0-100\n riskGrade: RiskGrade;\n drawdownAnalysis: DrawdownAnalysis;\n concentrationRisks: ConcentrationRisk[];\n exposureVolatility: ExposureVolatility[];\n recommendations: RiskRecommendation[];\n passed: boolean;\n failureReasons: string[];\n}\n\nexport type RiskGrade = 'A' | 'B' | 'C' | 'D' | 'F';\n\nexport interface DrawdownAnalysis {\n maxObservedDrawdown: number;\n drawdownScenarios: DrawdownScenarioResult[];\n worstCaseEstimate: number; // from Monte Carlo\n timeToRecoveryAvg: number; // average recovery days\n}\n\nexport interface DrawdownScenarioResult {\n scenario: DrawdownScenario;\n strategyWouldSurvive: boolean;\n estimatedImpact: number; // percentage loss\n recoveryTimeDays: number;\n}\n\nexport interface RiskRecommendation {\n type: 'position_sizing' | 'diversification' | 'stop_loss' | 'exposure_limit' | 'leverage';\n severity: 'info' | 'warning' | 'critical';\n description: string;\n suggestedAction: string;\n}\n\n// ============================================================================\n// Backtest Report Types\n// ============================================================================\n\nexport interface BacktestReport {\n id: ReportId;\n backtestId: BacktestId;\n generatedAt: Date;\n strategyName: string;\n version: string;\n // Core sections\n summary: ReportSummary;\n performance: PerformanceReport;\n riskEvaluation: RiskEvaluationResult;\n tradeHistory: SimulatedOrder[];\n equityCurve: EquityCurvePoint[];\n // Optional enhanced analysis\n monteCarlo?: MonteCarloAnalysis;\n optimizationHints?: OptimizationHint[];\n marketplaceMetrics?: MarketplaceMetrics;\n}\n\nexport interface ReportSummary {\n // As per issue requirement example format:\n // Capital Start: 10,000 / Capital End: 13,450 / Return: +34.5% / Max Drawdown: -7.2% / Sharpe Ratio: 1.85\n capitalStart: number;\n capitalEnd: number;\n totalReturnPercent: number;\n maxDrawdownPercent: number;\n sharpeRatio: number;\n totalTrades: number;\n winRate: number;\n backtestPeriod: string; // human-readable, e.g. \"Jan 2024 – Jun 2024\"\n dataGranularity: DataGranularity;\n riskGrade: RiskGrade;\n}\n\nexport interface MonteCarloAnalysis {\n simulations: number;\n confidenceLevel: number; // e.g. 0.95\n expectedReturn: number;\n var95: number;\n cvar95: number;\n worstCase: number;\n bestCase: number;\n probabilityOfProfit: number; // percentage\n returnDistribution: number[];\n}\n\nexport interface OptimizationHint {\n parameterName: string;\n currentValue: number | string;\n suggestedValue: number | string;\n expectedImprovement: number;\n confidence: number;\n}\n\nexport interface MarketplaceMetrics {\n strategyRating: number; // 1-5 stars\n riskCategory: 'conservative' | 'moderate' | 'aggressive' | 'speculative';\n suitableForBeginners: boolean;\n minimumCapital: number;\n backtestScore: number; // 0-100 composite score\n consistencyScore: number; // 0-100 consistency of returns\n}\n\n// ============================================================================\n// Backtesting Framework Config & Events\n// ============================================================================\n\nexport interface BacktestingFrameworkConfig {\n // Data layer config\n defaultDataGranularity: DataGranularity;\n maxDataPointsPerRun: number;\n enableDataCaching: boolean;\n // Simulation defaults\n defaultInitialCapital: number;\n defaultSlippageModel: SlippageModel;\n defaultFeeModel: FeeModel;\n defaultFillModel: FillModel;\n // Performance\n enableMonteCarlo: boolean;\n defaultMonteCarloSimulations: number;\n // Risk evaluation integration\n enableRiskEvaluation: boolean;\n riskEvaluationThresholds: RiskThresholds;\n // Reporting\n reportFormat: 'json' | 'detailed';\n includeMarketplaceMetrics: boolean;\n}\n\nexport interface RiskThresholds {\n maxAcceptableDrawdown: number; // percentage, e.g. 30\n minAcceptableSharpe: number; // e.g. 0.5\n maxConcentrationPercent: number; // e.g. 40\n minWinRate: number; // percentage, e.g. 30\n}\n\nexport type BacktestingEventType =\n | 'backtest_started'\n | 'backtest_progress'\n | 'backtest_completed'\n | 'backtest_failed'\n | 'backtest_cancelled'\n | 'report_generated'\n | 'risk_evaluated'\n | 'data_loaded'\n | 'data_validation_failed';\n\nexport interface BacktestingEvent {\n id: string;\n type: BacktestingEventType;\n backtestId: BacktestId;\n timestamp: Date;\n data: Record<string, unknown>;\n severity: 'info' | 'warning' | 'error';\n}\n\nexport type BacktestingEventCallback = (event: BacktestingEvent) => void;\n\nexport interface BacktestRunConfig {\n id?: BacktestId;\n strategyId: string;\n strategyName: string;\n strategySpec: BacktestStrategySpec;\n dataConfig: DataSourceConfig;\n simulationConfig: Omit<SimulationConfig, 'sessionId'>;\n monteCarlo?: { enabled: boolean; simulations: number; confidenceLevel: number };\n riskEvaluation?: boolean;\n generateReport?: boolean;\n}\n\n/**\n * Minimal strategy specification for backtesting.\n * This is framework-agnostic to allow testing any strategy.\n */\nexport interface BacktestStrategySpec {\n assets: AssetSymbol[];\n // Strategy logic as an event-driven callback\n onCandle: (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => void | Promise<void>;\n // Optional lifecycle hooks\n onStart?: (portfolio: Readonly<PortfolioState>) => void | Promise<void>;\n onEnd?: (portfolio: Readonly<PortfolioState>) => void | Promise<void>;\n parameters?: Record<string, number | string | boolean>;\n}\n\nexport interface PlaceOrderRequest {\n asset: AssetSymbol;\n side: 'buy' | 'sell';\n type: 'market' | 'limit' | 'stop';\n amount: number; // in base asset units OR as percent if amountType='percent'\n amountType?: 'units' | 'percent' | 'usd';\n limitPrice?: number; // for limit orders\n stopPrice?: number; // for stop orders\n metadata?: Record<string, unknown>;\n}\n\nexport interface BacktestRunResult {\n id: BacktestId;\n strategyId: string;\n strategyName: string;\n config: BacktestRunConfig;\n status: BacktestRunStatus;\n startedAt: Date;\n completedAt?: Date;\n durationMs?: number;\n performance?: PerformanceReport;\n riskEvaluation?: RiskEvaluationResult;\n report?: BacktestReport;\n orders: SimulatedOrder[];\n equityCurve: EquityCurvePoint[];\n finalPortfolio?: PortfolioState;\n error?: { code: string; message: string };\n warnings: string[];\n}\n\nexport type BacktestRunStatus =\n | 'pending'\n | 'running'\n | 'completed'\n | 'failed'\n | 'cancelled';\n", | |
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| [2026-03-11T21:42:55.910Z] [INFO] [log_491f1b] sending request { | |
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| "content": " 1→/**\n 2→ * TONAIAgent - Historical Market Data Layer\n 3→ *\n 4→ * Provides OHLCV candles, trade history, order book snapshots, and\n 5→ * volatility indicators for strategy backtesting.\n 6→ *\n 7→ * Supports multiple data sources:\n 8→ * - Synthetic data generation (random walk with configurable parameters)\n 9→ * - JSON/CSV file import\n 10→ * - External API integration (pluggable)\n 11→ */\n 12→\n 13→import {\n 14→ AssetSymbol,\n 15→ DataGranularity,\n 16→ DataSourceConfig,\n 17→ DataSourceType,\n 18→ DataValidationResult,\n 19→ OHLCVCandle,\n 20→ OrderBookSnapshot,\n 21→ SyntheticDataConfig,\n 22→ TradeRecord,\n 23→ VolatilityIndicator,\n 24→} from './types';\n 25→\n 26→// ============================================================================\n 27→// Historical Data Provider Interface\n 28→// ============================================================================\n 29→\n 30→export interface HistoricalDataProvider {\n 31→ /** Load OHLCV candles for the given asset and time range */\n 32→ getCandles(\n 33→ asset: AssetSymbol,\n 34→ start: Date,\n 35→ end: Date,\n 36→ granularity: DataGranularity\n 37→ ): Promise<OHLCVCandle[]>;\n 38→\n 39→ /** Load trade history records */\n 40→ getTrades(\n 41→ asset: AssetSymbol,\n 42→ start: Date,\n 43→ end: Date\n 44→ ): Promise<TradeRecord[]>;\n 45→\n 46→ /** Load order book snapshots (may not be available for all sources) */\n 47→ getOrderBookSnapshots(\n 48→ asset: AssetSymbol,\n 49→ start: Date,\n 50→ end: Date,\n 51→ granularity: DataGranularity\n 52→ ): Promise<OrderBookSnapshot[]>;\n 53→\n 54→ /** Load volatility indicators */\n 55→ getVolatilityIndicators(\n 56→ asset: AssetSymbol,\n 57→ start: Date,\n 58→ end: Date,\n 59→ granularity: DataGranularity\n 60→ ): Promise<VolatilityIndicator[]>;\n 61→\n 62→ /** Check data availability */\n 63→ checkAvailability(\n 64→ asset: AssetSymbol,\n 65→ start: Date,\n 66→ end: Date\n 67→ ): Promise<boolean>;\n 68→}\n 69→\n 70→// ============================================================================\n 71→// Granularity Utilities\n 72→// ============================================================================\n 73→\n 74→export function granularityToMs(granularity: DataGranularity): number {\n 75→ const map: Record<DataGranularity, number> = {\n 76→ '1m': 60 * 1000,\n 77→ '5m': 5 * 60 * 1000,\n 78→ '15m': 15 * 60 * 1000,\n 79→ '30m': 30 * 60 * 1000,\n 80→ '1h': 60 * 60 * 1000,\n 81→ '4h': 4 * 60 * 60 * 1000,\n 82→ '1d': 24 * 60 * 60 * 1000,\n 83→ '1w': 7 * 24 * 60 * 60 * 1000,\n 84→ };\n 85→ return map[granularity];\n 86→}\n 87→\n 88→export function countCandles(start: Date, end: Date, granularity: DataGranularity): number {\n 89→ return Math.ceil((end.getTime() - start.getTime()) / granularityToMs(granularity));\n 90→}\n 91→\n 92→// ============================================================================\n 93→// Synthetic Data Generator\n 94→// ============================================================================\n 95→\n 96→/**\n 97→ * Generates realistic synthetic OHLCV data using a geometric Brownian motion\n 98→ * model. Produces deterministic output when a seed is provided.\n 99→ */\n 100→export class SyntheticDataGenerator implements HistoricalDataProvider {\n 101→ private readonly defaultConfig: SyntheticDataConfig = {\n 102→ initialPrices: { TON: 5.0, USDT: 1.0, BTC: 40000, ETH: 2200 },\n 103→ volatility: 0.03,\n 104→ drift: 0.0005,\n 105→ seed: undefined,\n 106→ includeGaps: false,\n 107→ gapProbability: 0.01,\n 108→ };\n 109→\n 110→ constructor(private readonly config: Partial<SyntheticDataConfig> = {}) {}\n 111→\n 112→ async getCandles(\n 113→ asset: AssetSymbol,\n 114→ start: Date,\n 115→ end: Date,\n 116→ granularity: DataGranularity\n 117→ ): Promise<OHLCVCandle[]> {\n 118→ return this.generateCandles(asset, start, end, granularity);\n 119→ }\n 120→\n 121→ async getTrades(\n 122→ asset: AssetSymbol,\n 123→ start: Date,\n 124→ end: Date\n 125→ ): Promise<TradeRecord[]> {\n 126→ // Generate synthetic trade records from hourly candles\n 127→ const candles = await this.getCandles(asset, start, end, '1h');\n 128→ const trades: TradeRecord[] = [];\n 129→\n 130→ for (const candle of candles) {\n 131→ // Generate 5-20 trades per hour candle\n 132→ const tradeCount = 5 + Math.floor(Math.random() * 15);\n 133→ for (let i = 0; i < tradeCount; i++) {\n 134→ const offsetMs = Math.random() * granularityToMs('1h');\n 135→ trades.push({\n 136→ timestamp: new Date(candle.timestamp.getTime() + offsetMs),\n 137→ asset,\n 138→ price: candle.low + Math.random() * (candle.high - candle.low),\n 139→ size: Math.random() * 1000,\n 140→ side: Math.random() > 0.5 ? 'buy' : 'sell',\n 141→ tradeId: `synth_${candle.timestamp.getTime()}_${i}`,\n 142→ });\n 143→ }\n 144→ }\n 145→\n 146→ return trades.sort((a, b) => a.timestamp.getTime() - b.timestamp.getTime());\n 147→ }\n 148→\n 149→ async getOrderBookSnapshots(\n 150→ asset: AssetSymbol,\n 151→ start: Date,\n 152→ end: Date,\n 153→ granularity: DataGranularity\n 154→ ): Promise<OrderBookSnapshot[]> {\n 155→ const candles = await this.getCandles(asset, start, end, granularity);\n 156→ return candles.map((candle) => {\n 157→ const spread = candle.close * 0.002; // 0.2% spread\n 158→ return {\n 159→ timestamp: candle.timestamp,\n 160→ asset,\n 161→ bids: [\n 162→ { price: candle.close - spread / 2, size: Math.random() * 5000 + 1000 },\n 163→ { price: candle.close - spread, size: Math.random() * 3000 + 500 },\n 164→ { price: candle.close - spread * 1.5, size: Math.random() * 8000 + 2000 },\n 165→ ],\n 166→ asks: [\n 167→ { price: candle.close + spread / 2, size: Math.random() * 5000 + 1000 },\n 168→ { price: candle.close + spread, size: Math.random() * 3000 + 500 },\n 169→ { price: candle.close + spread * 1.5, size: Math.random() * 8000 + 2000 },\n 170→ ],\n 171→ midPrice: candle.close,\n 172→ spread,\n 173→ };\n 174→ });\n 175→ }\n 176→\n 177→ async getVolatilityIndicators(\n 178→ asset: AssetSymbol,\n 179→ start: Date,\n 180→ end: Date,\n 181→ granularity: DataGranularity\n 182→ ): Promise<VolatilityIndicator[]> {\n 183→ const candles = await this.getCandles(asset, start, end, granularity);\n 184→ const indicators: VolatilityIndicator[] = [];\n 185→ const windowSize = 14; // Standard ATR period\n 186→\n 187→ for (let i = windowSize; i < candles.length; i++) {\n 188→ const window = candles.slice(i - windowSize, i + 1);\n 189→ const atr = this.calculateATR(window);\n 190→ const hv = this.calculateHistoricalVolatility(window);\n 191→\n 192→ indicators.push({\n 193→ timestamp: candles[i].timestamp,\n 194→ asset,\n 195→ historicalVolatility: hv,\n 196→ atr,\n 197→ bollingerBandWidth: hv * 2,\n 198→ });\n 199→ }\n 200→\n 201→ return indicators;\n 202→ }\n 203→\n 204→ async checkAvailability(_asset: AssetSymbol, _start: Date, _end: Date): Promise<boolean> {\n 205→ return true; // Synthetic data is always available\n 206→ }\n 207→\n 208→ // ============================================================================\n 209→ // Private Helpers\n 210→ // ============================================================================\n 211→\n 212→ private generateCandles(\n 213→ asset: AssetSymbol,\n 214→ start: Date,\n 215→ end: Date,\n 216→ granularity: DataGranularity\n 217→ ): OHLCVCandle[] {\n 218→ const cfg = { ...this.defaultConfig, ...this.config };\n 219→ const intervalMs = granularityToMs(granularity);\n 220→ const candles: OHLCVCandle[] = [];\n 221→\n 222→ // Scale volatility and drift to granularity\n 223→ const periodsPerDay = (24 * 60 * 60 * 1000) / intervalMs;\n 224→ const periodVolatility = cfg.volatility / Math.sqrt(periodsPerDay);\n 225→ const periodDrift = cfg.drift / periodsPerDay;\n 226→\n 227→ let price = cfg.initialPrices[asset] ?? 1.0;\n 228→ let currentTime = start.getTime();\n 229→ let rng = this.createRng(cfg.seed);\n 230→\n 231→ while (currentTime <= end.getTime()) {\n 232→ // Skip if gap simulation is enabled\n 233→ if (cfg.includeGaps && rng() < (cfg.gapProbability ?? 0.01)) {\n 234→ currentTime += intervalMs;\n 235→ continue;\n 236→ }\n 237→\n 238→ // Geometric Brownian Motion: dS = S * (mu*dt + sigma*sqrt(dt)*Z)\n 239→ const z = this.boxMullerNormal(rng);\n 240→ const returnVal = periodDrift + periodVolatility * z;\n 241→ price = price * Math.exp(returnVal);\n 242→ price = Math.max(price, 0.0001);\n 243→\n 244→ // Generate OHLCV from close price\n 245→ const intraRange = periodVolatility * price * 0.5;\n 246→ const open = price * (1 + (rng() - 0.5) * periodVolatility * 0.3);\n 247→ const high = Math.max(open, price) + rng() * intraRange;\n 248→ const low = Math.min(open, price) - rng() * intraRange;\n 249→ const volume = (rng() * 900000 + 100000) * (price > 0 ? 1 / price : 1);\n 250→\n 251→ candles.push({\n 252→ timestamp: new Date(currentTime),\n 253→ asset,\n 254→ open: Math.max(open, 0.0001),\n 255→ high: Math.max(high, open, price, 0.0001),\n 256→ low: Math.max(Math.min(low, open, price), 0.0001),\n 257→ close: price,\n 258→ volume,\n 259→ volumeUsd: volume * price,\n 260→ });\n 261→\n 262→ currentTime += intervalMs;\n 263→ // Re-seed rng to maintain determinism across asset generations\n 264→ if (cfg.seed !== undefined) {\n 265→ rng = this.createRng(cfg.seed + currentTime);\n 266→ }\n 267→ }\n 268→\n 269→ return candles;\n 270→ }\n 271→\n 272→ private createRng(seed?: number): () => number {\n 273→ if (seed === undefined) {\n 274→ return Math.random;\n 275→ }\n 276→ // Simple mulberry32 PRNG for determinism\n 277→ let s = seed >>> 0;\n 278→ return () => {\n 279→ s += 0x6d2b79f5;\n 280→ let t = Math.imul(s ^ (s >>> 15), 1 | s);\n 281→ t ^= t + Math.imul(t ^ (t >>> 7), 61 | t);\n 282→ return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n 283→ };\n 284→ }\n 285→\n 286→ private boxMullerNormal(rng: () => number): number {\n 287→ // Box-Muller transform for normal distribution\n 288→ const u1 = Math.max(rng(), 1e-10);\n 289→ const u2 = rng();\n 290→ return Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n 291→ }\n 292→\n 293→ private calculateATR(candles: OHLCVCandle[]): number {\n 294→ if (candles.length < 2) return 0;\n 295→ let atrSum = 0;\n 296→ for (let i = 1; i < candles.length; i++) {\n 297→ const prev = candles[i - 1];\n 298→ const curr = candles[i];\n 299→ const tr = Math.max(\n 300→ curr.high - curr.low,\n 301→ Math.abs(curr.high - prev.close),\n 302→ Math.abs(curr.low - prev.close)\n 303→ );\n 304→ atrSum += tr;\n 305→ }\n 306→ return atrSum / (candles.length - 1);\n 307→ }\n 308→\n 309→ private calculateHistoricalVolatility(candles: OHLCVCandle[]): number {\n 310→ if (candles.length < 2) return 0;\n 311→ const logReturns: number[] = [];\n 312→ for (let i = 1; i < candles.length; i++) {\n 313→ logReturns.push(Math.log(candles[i].close / candles[i - 1].close));\n 314→ }\n 315→ const mean = logReturns.reduce((a, b) => a + b, 0) / logReturns.length;\n 316→ const variance =\n 317→ logReturns.reduce((sum, r) => sum + Math.pow(r - mean, 2), 0) /\n 318→ (logReturns.length - 1);\n 319→ // Annualize: multiply daily std dev by sqrt(252)\n 320→ return Math.sqrt(variance) * Math.sqrt(252) * 100;\n 321→ }\n 322→}\n 323→\n 324→// ============================================================================\n 325→// JSON Data Provider\n 326→// ============================================================================\n 327→\n 328→/**\n 329→ * Loads historical data from a pre-loaded JSON structure.\n 330→ * Useful for tests and offline backtesting with known datasets.\n 331→ */\n 332→export class JsonDataProvider implements HistoricalDataProvider {\n 333→ constructor(\n 334→ private readonly data: Map<AssetSymbol, OHLCVCandle[]>\n 335→ ) {}\n 336→\n 337→ async getCandles(\n 338→ asset: AssetSymbol,\n 339→ start: Date,\n 340→ end: Date,\n 341→ _granularity: DataGranularity\n 342→ ): Promise<OHLCVCandle[]> {\n 343→ const candles = this.data.get(asset) ?? [];\n 344→ return candles.filter(\n 345→ (c) =>\n 346→ c.timestamp.getTime() >= start.getTime() &&\n 347→ c.timestamp.getTime() <= end.getTime()\n 348→ );\n 349→ }\n 350→\n 351→ async getTrades(\n 352→ _asset: AssetSymbol,\n 353→ _start: Date,\n 354→ _end: Date\n 355→ ): Promise<TradeRecord[]> {\n 356→ return [];\n 357→ }\n 358→\n 359→ async getOrderBookSnapshots(\n 360→ _asset: AssetSymbol,\n 361→ _start: Date,\n 362→ _end: Date,\n 363→ _granularity: DataGranularity\n 364→ ): Promise<OrderBookSnapshot[]> {\n 365→ return [];\n 366→ }\n 367→\n 368→ async getVolatilityIndicators(\n 369→ _asset: AssetSymbol,\n 370→ _start: Date,\n 371→ _end: Date,\n 372→ _granularity: DataGranularity\n 373→ ): Promise<VolatilityIndicator[]> {\n 374→ return [];\n 375→ }\n 376→\n 377→ async checkAvailability(asset: AssetSymbol, start: Date, end: Date): Promise<boolean> {\n 378→ const candles = this.data.get(asset) ?? [];\n 379→ if (candles.length === 0) return false;\n 380→ const first = candles[0].timestamp;\n 381→ const last = candles[candles.length - 1].timestamp;\n 382→ return first.getTime() <= start.getTime() && last.getTime() >= end.getTime();\n 383→ }\n 384→}\n 385→\n 386→// ============================================================================\n 387→// Historical Data Manager\n 388→// ============================================================================\n 389→\n 390→/**\n 391→ * Manages data loading, caching, and validation for the backtesting framework.\n 392→ */\n 393→export class HistoricalDataManager {\n 394→ private readonly cache = new Map<string, OHLCVCandle[]>();\n 395→ private provider: HistoricalDataProvider;\n 396→\n 397→ constructor(config: Partial<DataSourceConfig> = {}) {\n 398→ this.provider = this.createProvider(config);\n 399→ }\n 400→\n 401→ /**\n 402→ * Set a custom data provider (e.g., for API integration)\n 403→ */\n 404→ setProvider(provider: HistoricalDataProvider): void {\n 405→ this.provider = provider;\n 406→ this.cache.clear();\n 407→ }\n 408→\n 409→ /**\n 410→ * Load candles for one or more assets, with caching\n 411→ */\n 412→ async loadCandles(\n 413→ assets: AssetSymbol[],\n 414→ start: Date,\n 415→ end: Date,\n 416→ granularity: DataGranularity\n 417→ ): Promise<Map<AssetSymbol, OHLCVCandle[]>> {\n 418→ const result = new Map<AssetSymbol, OHLCVCandle[]>();\n 419→\n 420→ await Promise.all(\n 421→ assets.map(async (asset) => {\n 422→ const cacheKey = `${asset}_${start.getTime()}_${end.getTime()}_${granularity}`;\n 423→\n 424→ if (this.cache.has(cacheKey)) {\n 425→ result.set(asset, this.cache.get(cacheKey)!);\n 426→ return;\n 427→ }\n 428→\n 429→ const candles = await this.provider.getCandles(asset, start, end, granularity);\n 430→ this.cache.set(cacheKey, candles);\n 431→ result.set(asset, candles);\n 432→ })\n 433→ );\n 434→\n 435→ return result;\n 436→ }\n 437→\n 438→ /**\n 439→ * Validate loaded data and report on quality\n 440→ */\n 441→ async validateData(\n 442→ assets: AssetSymbol[],\n 443→ start: Date,\n 444→ end: Date,\n 445→ granularity: DataGranularity\n 446→ ): Promise<DataValidationResult> {\n 447→ const errors: string[] = [];\n 448→ const warnings: string[] = [];\n 449→ const gaps: Array<{ asset: AssetSymbol; from: Date; to: Date }> = [];\n 450→ let totalCandles = 0;\n 451→ let missingDataPoints = 0;\n 452→\n 453→ const allCandles = await this.loadCandles(assets, start, end, granularity);\n 454→ const intervalMs = granularityToMs(granularity);\n 455→ const expectedCount = Math.ceil((end.getTime() - start.getTime()) / intervalMs);\n 456→\n 457→ for (const asset of assets) {\n 458→ const candles = allCandles.get(asset) ?? [];\n 459→ totalCandles += candles.length;\n 460→\n 461→ if (candles.length === 0) {\n 462→ errors.push(`No data available for asset: ${asset}`);\n 463→ continue;\n 464→ }\n 465→\n 466→ // Check for gaps\n 467→ for (let i = 1; i < candles.length; i++) {\n 468→ const prev = candles[i - 1];\n 469→ const curr = candles[i];\n 470→ const expectedNext = prev.timestamp.getTime() + intervalMs;\n 471→ const actualNext = curr.timestamp.getTime();\n 472→\n 473→ if (actualNext > expectedNext + intervalMs * 0.5) {\n 474→ const gapCount = Math.round((actualNext - expectedNext) / intervalMs);\n 475→ missingDataPoints += gapCount;\n 476→ gaps.push({ asset, from: new Date(expectedNext), to: new Date(actualNext) });\n 477→ }\n 478→ }\n 479→\n 480→ if (candles.length < expectedCount * 0.8) {\n 481→ warnings.push(\n 482→ `Asset ${asset} has only ${candles.length} of expected ${expectedCount} candles (${Math.round((candles.length / expectedCount) * 100)}%)`\n 483→ );\n 484→ }\n 485→ }\n 486→\n 487→ return {\n 488→ valid: errors.length === 0,\n 489→ assetCount: assets.length,\n 490→ candleCount: totalCandles,\n 491→ dateRange: { start, end },\n 492→ missingDataPoints,\n 493→ gaps,\n 494→ warnings,\n 495→ errors,\n 496→ };\n 497→ }\n 498→\n 499→ /**\n 500→ * Clear the data cache\n 501→ */\n 502→ clearCache(): void {\n 503→ this.cache.clear();\n 504→ }\n 505→\n 506→ // ============================================================================\n 507→ // Private Methods\n 508→ // ============================================================================\n 509→\n 510→ private createProvider(config: Partial<DataSourceConfig>): HistoricalDataProvider {\n 511→ const type: DataSourceType = config.type ?? 'synthetic';\n 512→\n 513→ switch (type) {\n 514→ case 'synthetic':\n 515→ return new SyntheticDataGenerator(config.syntheticConfig);\n 516→ case 'json':\n 517→ // For JSON provider, data must be pre-loaded\n 518→ return new SyntheticDataGenerator(config.syntheticConfig);\n 519→ default:\n 520→ return new SyntheticDataGenerator(config.syntheticConfig);\n 521→ }\n 522→ }\n 523→}\n 524→\n 525→// ============================================================================\n 526→// Factory Function\n 527→// ============================================================================\n 528→\n 529→export function createHistoricalDataManager(\n 530→ config?: Partial<DataSourceConfig>\n 531→): HistoricalDataManager {\n 532→ return new HistoricalDataManager(config);\n 533→}\n 534→\n 535→export function createSyntheticDataGenerator(\n 536→ config?: Partial<SyntheticDataConfig>\n 537→): SyntheticDataGenerator {\n 538→ return new SyntheticDataGenerator(config);\n 539→}\n 540→\n 541→export function createJsonDataProvider(\n 542→ data: Map<AssetSymbol, OHLCVCandle[]>\n 543→): JsonDataProvider {\n 544→ return new JsonDataProvider(data);\n 545→}\n 546→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "33b8080b-8e2d-4b53-bc34-cc8f999d7262", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/src/backtesting/historical-data.ts", | |
| "content": "/**\n * TONAIAgent - Historical Market Data Layer\n *\n * Provides OHLCV candles, trade history, order book snapshots, and\n * volatility indicators for strategy backtesting.\n *\n * Supports multiple data sources:\n * - Synthetic data generation (random walk with configurable parameters)\n * - JSON/CSV file import\n * - External API integration (pluggable)\n */\n\nimport {\n AssetSymbol,\n DataGranularity,\n DataSourceConfig,\n DataSourceType,\n DataValidationResult,\n OHLCVCandle,\n OrderBookSnapshot,\n SyntheticDataConfig,\n TradeRecord,\n VolatilityIndicator,\n} from './types';\n\n// ============================================================================\n// Historical Data Provider Interface\n// ============================================================================\n\nexport interface HistoricalDataProvider {\n /** Load OHLCV candles for the given asset and time range */\n getCandles(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<OHLCVCandle[]>;\n\n /** Load trade history records */\n getTrades(\n asset: AssetSymbol,\n start: Date,\n end: Date\n ): Promise<TradeRecord[]>;\n\n /** Load order book snapshots (may not be available for all sources) */\n getOrderBookSnapshots(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<OrderBookSnapshot[]>;\n\n /** Load volatility indicators */\n getVolatilityIndicators(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<VolatilityIndicator[]>;\n\n /** Check data availability */\n checkAvailability(\n asset: AssetSymbol,\n start: Date,\n end: Date\n ): Promise<boolean>;\n}\n\n// ============================================================================\n// Granularity Utilities\n// ============================================================================\n\nexport function granularityToMs(granularity: DataGranularity): number {\n const map: Record<DataGranularity, number> = {\n '1m': 60 * 1000,\n '5m': 5 * 60 * 1000,\n '15m': 15 * 60 * 1000,\n '30m': 30 * 60 * 1000,\n '1h': 60 * 60 * 1000,\n '4h': 4 * 60 * 60 * 1000,\n '1d': 24 * 60 * 60 * 1000,\n '1w': 7 * 24 * 60 * 60 * 1000,\n };\n return map[granularity];\n}\n\nexport function countCandles(start: Date, end: Date, granularity: DataGranularity): number {\n return Math.ceil((end.getTime() - start.getTime()) / granularityToMs(granularity));\n}\n\n// ============================================================================\n// Synthetic Data Generator\n// ============================================================================\n\n/**\n * Generates realistic synthetic OHLCV data using a geometric Brownian motion\n * model. Produces deterministic output when a seed is provided.\n */\nexport class SyntheticDataGenerator implements HistoricalDataProvider {\n private readonly defaultConfig: SyntheticDataConfig = {\n initialPrices: { TON: 5.0, USDT: 1.0, BTC: 40000, ETH: 2200 },\n volatility: 0.03,\n drift: 0.0005,\n seed: undefined,\n includeGaps: false,\n gapProbability: 0.01,\n };\n\n constructor(private readonly config: Partial<SyntheticDataConfig> = {}) {}\n\n async getCandles(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<OHLCVCandle[]> {\n return this.generateCandles(asset, start, end, granularity);\n }\n\n async getTrades(\n asset: AssetSymbol,\n start: Date,\n end: Date\n ): Promise<TradeRecord[]> {\n // Generate synthetic trade records from hourly candles\n const candles = await this.getCandles(asset, start, end, '1h');\n const trades: TradeRecord[] = [];\n\n for (const candle of candles) {\n // Generate 5-20 trades per hour candle\n const tradeCount = 5 + Math.floor(Math.random() * 15);\n for (let i = 0; i < tradeCount; i++) {\n const offsetMs = Math.random() * granularityToMs('1h');\n trades.push({\n timestamp: new Date(candle.timestamp.getTime() + offsetMs),\n asset,\n price: candle.low + Math.random() * (candle.high - candle.low),\n size: Math.random() * 1000,\n side: Math.random() > 0.5 ? 'buy' : 'sell',\n tradeId: `synth_${candle.timestamp.getTime()}_${i}`,\n });\n }\n }\n\n return trades.sort((a, b) => a.timestamp.getTime() - b.timestamp.getTime());\n }\n\n async getOrderBookSnapshots(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<OrderBookSnapshot[]> {\n const candles = await this.getCandles(asset, start, end, granularity);\n return candles.map((candle) => {\n const spread = candle.close * 0.002; // 0.2% spread\n return {\n timestamp: candle.timestamp,\n asset,\n bids: [\n { price: candle.close - spread / 2, size: Math.random() * 5000 + 1000 },\n { price: candle.close - spread, size: Math.random() * 3000 + 500 },\n { price: candle.close - spread * 1.5, size: Math.random() * 8000 + 2000 },\n ],\n asks: [\n { price: candle.close + spread / 2, size: Math.random() * 5000 + 1000 },\n { price: candle.close + spread, size: Math.random() * 3000 + 500 },\n { price: candle.close + spread * 1.5, size: Math.random() * 8000 + 2000 },\n ],\n midPrice: candle.close,\n spread,\n };\n });\n }\n\n async getVolatilityIndicators(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<VolatilityIndicator[]> {\n const candles = await this.getCandles(asset, start, end, granularity);\n const indicators: VolatilityIndicator[] = [];\n const windowSize = 14; // Standard ATR period\n\n for (let i = windowSize; i < candles.length; i++) {\n const window = candles.slice(i - windowSize, i + 1);\n const atr = this.calculateATR(window);\n const hv = this.calculateHistoricalVolatility(window);\n\n indicators.push({\n timestamp: candles[i].timestamp,\n asset,\n historicalVolatility: hv,\n atr,\n bollingerBandWidth: hv * 2,\n });\n }\n\n return indicators;\n }\n\n async checkAvailability(_asset: AssetSymbol, _start: Date, _end: Date): Promise<boolean> {\n return true; // Synthetic data is always available\n }\n\n // ============================================================================\n // Private Helpers\n // ============================================================================\n\n private generateCandles(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): OHLCVCandle[] {\n const cfg = { ...this.defaultConfig, ...this.config };\n const intervalMs = granularityToMs(granularity);\n const candles: OHLCVCandle[] = [];\n\n // Scale volatility and drift to granularity\n const periodsPerDay = (24 * 60 * 60 * 1000) / intervalMs;\n const periodVolatility = cfg.volatility / Math.sqrt(periodsPerDay);\n const periodDrift = cfg.drift / periodsPerDay;\n\n let price = cfg.initialPrices[asset] ?? 1.0;\n let currentTime = start.getTime();\n let rng = this.createRng(cfg.seed);\n\n while (currentTime <= end.getTime()) {\n // Skip if gap simulation is enabled\n if (cfg.includeGaps && rng() < (cfg.gapProbability ?? 0.01)) {\n currentTime += intervalMs;\n continue;\n }\n\n // Geometric Brownian Motion: dS = S * (mu*dt + sigma*sqrt(dt)*Z)\n const z = this.boxMullerNormal(rng);\n const returnVal = periodDrift + periodVolatility * z;\n price = price * Math.exp(returnVal);\n price = Math.max(price, 0.0001);\n\n // Generate OHLCV from close price\n const intraRange = periodVolatility * price * 0.5;\n const open = price * (1 + (rng() - 0.5) * periodVolatility * 0.3);\n const high = Math.max(open, price) + rng() * intraRange;\n const low = Math.min(open, price) - rng() * intraRange;\n const volume = (rng() * 900000 + 100000) * (price > 0 ? 1 / price : 1);\n\n candles.push({\n timestamp: new Date(currentTime),\n asset,\n open: Math.max(open, 0.0001),\n high: Math.max(high, open, price, 0.0001),\n low: Math.max(Math.min(low, open, price), 0.0001),\n close: price,\n volume,\n volumeUsd: volume * price,\n });\n\n currentTime += intervalMs;\n // Re-seed rng to maintain determinism across asset generations\n if (cfg.seed !== undefined) {\n rng = this.createRng(cfg.seed + currentTime);\n }\n }\n\n return candles;\n }\n\n private createRng(seed?: number): () => number {\n if (seed === undefined) {\n return Math.random;\n }\n // Simple mulberry32 PRNG for determinism\n let s = seed >>> 0;\n return () => {\n s += 0x6d2b79f5;\n let t = Math.imul(s ^ (s >>> 15), 1 | s);\n t ^= t + Math.imul(t ^ (t >>> 7), 61 | t);\n return ((t ^ (t >>> 14)) >>> 0) / 4294967296;\n };\n }\n\n private boxMullerNormal(rng: () => number): number {\n // Box-Muller transform for normal distribution\n const u1 = Math.max(rng(), 1e-10);\n const u2 = rng();\n return Math.sqrt(-2 * Math.log(u1)) * Math.cos(2 * Math.PI * u2);\n }\n\n private calculateATR(candles: OHLCVCandle[]): number {\n if (candles.length < 2) return 0;\n let atrSum = 0;\n for (let i = 1; i < candles.length; i++) {\n const prev = candles[i - 1];\n const curr = candles[i];\n const tr = Math.max(\n curr.high - curr.low,\n Math.abs(curr.high - prev.close),\n Math.abs(curr.low - prev.close)\n );\n atrSum += tr;\n }\n return atrSum / (candles.length - 1);\n }\n\n private calculateHistoricalVolatility(candles: OHLCVCandle[]): number {\n if (candles.length < 2) return 0;\n const logReturns: number[] = [];\n for (let i = 1; i < candles.length; i++) {\n logReturns.push(Math.log(candles[i].close / candles[i - 1].close));\n }\n const mean = logReturns.reduce((a, b) => a + b, 0) / logReturns.length;\n const variance =\n logReturns.reduce((sum, r) => sum + Math.pow(r - mean, 2), 0) /\n (logReturns.length - 1);\n // Annualize: multiply daily std dev by sqrt(252)\n return Math.sqrt(variance) * Math.sqrt(252) * 100;\n }\n}\n\n// ============================================================================\n// JSON Data Provider\n// ============================================================================\n\n/**\n * Loads historical data from a pre-loaded JSON structure.\n * Useful for tests and offline backtesting with known datasets.\n */\nexport class JsonDataProvider implements HistoricalDataProvider {\n constructor(\n private readonly data: Map<AssetSymbol, OHLCVCandle[]>\n ) {}\n\n async getCandles(\n asset: AssetSymbol,\n start: Date,\n end: Date,\n _granularity: DataGranularity\n ): Promise<OHLCVCandle[]> {\n const candles = this.data.get(asset) ?? [];\n return candles.filter(\n (c) =>\n c.timestamp.getTime() >= start.getTime() &&\n c.timestamp.getTime() <= end.getTime()\n );\n }\n\n async getTrades(\n _asset: AssetSymbol,\n _start: Date,\n _end: Date\n ): Promise<TradeRecord[]> {\n return [];\n }\n\n async getOrderBookSnapshots(\n _asset: AssetSymbol,\n _start: Date,\n _end: Date,\n _granularity: DataGranularity\n ): Promise<OrderBookSnapshot[]> {\n return [];\n }\n\n async getVolatilityIndicators(\n _asset: AssetSymbol,\n _start: Date,\n _end: Date,\n _granularity: DataGranularity\n ): Promise<VolatilityIndicator[]> {\n return [];\n }\n\n async checkAvailability(asset: AssetSymbol, start: Date, end: Date): Promise<boolean> {\n const candles = this.data.get(asset) ?? [];\n if (candles.length === 0) return false;\n const first = candles[0].timestamp;\n const last = candles[candles.length - 1].timestamp;\n return first.getTime() <= start.getTime() && last.getTime() >= end.getTime();\n }\n}\n\n// ============================================================================\n// Historical Data Manager\n// ============================================================================\n\n/**\n * Manages data loading, caching, and validation for the backtesting framework.\n */\nexport class HistoricalDataManager {\n private readonly cache = new Map<string, OHLCVCandle[]>();\n private provider: HistoricalDataProvider;\n\n constructor(config: Partial<DataSourceConfig> = {}) {\n this.provider = this.createProvider(config);\n }\n\n /**\n * Set a custom data provider (e.g., for API integration)\n */\n setProvider(provider: HistoricalDataProvider): void {\n this.provider = provider;\n this.cache.clear();\n }\n\n /**\n * Load candles for one or more assets, with caching\n */\n async loadCandles(\n assets: AssetSymbol[],\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<Map<AssetSymbol, OHLCVCandle[]>> {\n const result = new Map<AssetSymbol, OHLCVCandle[]>();\n\n await Promise.all(\n assets.map(async (asset) => {\n const cacheKey = `${asset}_${start.getTime()}_${end.getTime()}_${granularity}`;\n\n if (this.cache.has(cacheKey)) {\n result.set(asset, this.cache.get(cacheKey)!);\n return;\n }\n\n const candles = await this.provider.getCandles(asset, start, end, granularity);\n this.cache.set(cacheKey, candles);\n result.set(asset, candles);\n })\n );\n\n return result;\n }\n\n /**\n * Validate loaded data and report on quality\n */\n async validateData(\n assets: AssetSymbol[],\n start: Date,\n end: Date,\n granularity: DataGranularity\n ): Promise<DataValidationResult> {\n const errors: string[] = [];\n const warnings: string[] = [];\n const gaps: Array<{ asset: AssetSymbol; from: Date; to: Date }> = [];\n let totalCandles = 0;\n let missingDataPoints = 0;\n\n const allCandles = await this.loadCandles(assets, start, end, granularity);\n const intervalMs = granularityToMs(granularity);\n const expectedCount = Math.ceil((end.getTime() - start.getTime()) / intervalMs);\n\n for (const asset of assets) {\n const candles = allCandles.get(asset) ?? 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| "content": " 1→/**\n 2→ * TON AI Agent – Strategy Marketplace Component\n 3→ * Browse, discover, and deploy trading strategies from the marketplace\n 4→ */\n 5→(function () {\n 6→ 'use strict';\n 7→\n 8→ const { State, API, DemoData, Fmt, el, esc, TG } = window.App;\n 9→\n 10→ // Local marketplace state\n 11→ const MarketplaceState = {\n 12→ strategies: [],\n 13→ filteredStrategies: [],\n 14→ selectedStrategy: null,\n 15→ category: 'all',\n 16→ riskLevel: 'all',\n 17→ sortBy: 'roi',\n 18→ searchQuery: '',\n 19→ filterPanelOpen: false,\n 20→ };\n 21→\n 22→ const Marketplace = {\n 23→ async refresh() {\n 24→ await this.load();\n 25→ },\n 26→\n 27→ async load() {\n 28→ let data = await API.get('/marketplace/strategies');\n 29→ if (!data) data = { strategies: DemoData.marketplace() };\n 30→\n 31→ const strategies = data.strategies || data;\n 32→ MarketplaceState.strategies = Array.isArray(strategies) ? strategies : [];\n 33→ this.applyFilters();\n 34→ this.renderSummary();\n 35→ this.renderList();\n 36→ },\n 37→\n 38→ applyFilters() {\n 39→ let result = [...MarketplaceState.strategies];\n 40→\n 41→ // Category filter\n 42→ if (MarketplaceState.category !== 'all') {\n 43→ result = result.filter(s => s.category === MarketplaceState.category);\n 44→ }\n 45→\n 46→ // Risk level filter\n 47→ if (MarketplaceState.riskLevel !== 'all') {\n 48→ result = result.filter(s => s.risk_level === MarketplaceState.riskLevel);\n 49→ }\n 50→\n 51→ // Search filter\n 52→ if (MarketplaceState.searchQuery) {\n 53→ const q = MarketplaceState.searchQuery.toLowerCase();\n 54→ result = result.filter(s =>\n 55→ s.name.toLowerCase().includes(q) ||\n 56→ s.description.toLowerCase().includes(q) ||\n 57→ s.author.toLowerCase().includes(q)\n 58→ );\n 59→ }\n 60→\n 61→ // Sort\n 62→ result.sort((a, b) => {\n 63→ switch (MarketplaceState.sortBy) {\n 64→ case 'roi':\n 65→ return b.roi_30d - a.roi_30d;\n 66→ case 'sharpe':\n 67→ return b.sharpe_ratio - a.sharpe_ratio;\n 68→ case 'popularity':\n 69→ return b.active_users - a.active_users;\n 70→ case 'newest':\n 71→ return new Date(b.published_at) - new Date(a.published_at);\n 72→ default:\n 73→ return 0;\n 74→ }\n 75→ });\n 76→\n 77→ MarketplaceState.filteredStrategies = result;\n 78→ },\n 79→\n 80→ renderSummary() {\n 81→ const list = MarketplaceState.strategies;\n 82→ el('mp-total-strategies').textContent = list.length;\n 83→\n 84→ if (list.length > 0) {\n 85→ const topRoi = Math.max(...list.map(s => s.roi_30d || 0));\n 86→ el('mp-top-roi').textContent = `+${topRoi.toFixed(1)}%`;\n 87→\n 88→ const totalUsers = list.reduce((sum, s) => sum + (s.active_users || 0), 0);\n 89→ el('mp-active-users').textContent = totalUsers;\n 90→ } else {\n 91→ el('mp-top-roi').textContent = '0%';\n 92→ el('mp-active-users').textContent = '0';\n 93→ }\n 94→ },\n 95→\n 96→ renderList() {\n 97→ const list = MarketplaceState.filteredStrategies;\n 98→ const container = el('marketplace-list');\n 99→ const empty = el('marketplace-empty');\n 100→\n 101→ if (!list.length) {\n 102→ empty.classList.remove('hidden');\n 103→ container.innerHTML = '';\n 104→ return;\n 105→ }\n 106→\n 107→ empty.classList.add('hidden');\n 108→\n 109→ container.innerHTML = list.map(s => {\n 110→ const roi = s.roi_30d || 0;\n 111→ const riskClass = s.risk_level === 'low' ? 'risk-low' :\n 112→ s.risk_level === 'high' ? 'risk-high' : 'risk-medium';\n 113→ const riskLabel = s.risk_level.charAt(0).toUpperCase() + s.risk_level.slice(1);\n 114→ const categoryLabel = this.formatCategory(s.category);\n 115→\n 116→ return `\n 117→ <div class=\"marketplace-card\" data-strategy-id=\"${esc(s.id)}\">\n 118→ <div class=\"marketplace-card-header\">\n 119→ <div class=\"strategy-info\">\n 120→ <span class=\"strategy-name\">${esc(s.name)}</span>\n 121→ ${s.verified ? '<span class=\"verified-badge\">Verified</span>' : ''}\n 122→ </div>\n 123→ <span class=\"category-tag\">${esc(categoryLabel)}</span>\n 124→ </div>\n 125→ <div class=\"strategy-author-row\">\n 126→ <span class=\"author-label\">by ${esc(s.author)}</span>\n 127→ <span class=\"version-label\">v${esc(s.version)}</span>\n 128→ </div>\n 129→ <div class=\"strategy-description-preview\">${esc(s.description)}</div>\n 130→ <div class=\"marketplace-metrics-grid\">\n 131→ <div class=\"marketplace-metric\">\n 132→ <div class=\"metric-label\">ROI (30d)</div>\n 133→ <div class=\"metric-value ${roi >= 0 ? 'positive' : 'negative'}\">\n 134→ ${roi >= 0 ? '+' : ''}${roi.toFixed(1)}%\n 135→ </div>\n 136→ </div>\n 137→ <div class=\"marketplace-metric\">\n 138→ <div class=\"metric-label\">Win Rate</div>\n 139→ <div class=\"metric-value\">${(s.win_rate || 0).toFixed(1)}%</div>\n 140→ </div>\n 141→ <div class=\"marketplace-metric\">\n 142→ <div class=\"metric-label\">Trades</div>\n 143→ <div class=\"metric-value\">${s.total_trades || 0}</div>\n 144→ </div>\n 145→ <div class=\"marketplace-metric\">\n 146→ <div class=\"metric-label\">Risk</div>\n 147→ <div class=\"metric-value ${riskClass}\">${riskLabel}</div>\n 148→ </div>\n 149→ </div>\n 150→ <div class=\"marketplace-card-footer\">\n 151→ <div class=\"footer-stats\">\n 152→ <span class=\"reputation-score\">Score: ${(s.reputation_score || 0).toFixed(1)}/10</span>\n 153→ <span class=\"active-users\">${s.active_users || 0} users</span>\n 154→ </div>\n 155→ <button class=\"deploy-btn-small\" data-strategy-id=\"${esc(s.id)}\">Deploy</button>\n 156→ </div>\n 157→ </div>\n 158→ `;\n 159→ }).join('');\n 160→\n 161→ // Attach click handlers\n 162→ container.querySelectorAll('.marketplace-card').forEach(card => {\n 163→ card.addEventListener('click', (e) => {\n 164→ if (e.target.closest('.deploy-btn-small')) return;\n 165→ this.openStrategyModal(card.dataset.strategyId);\n 166→ });\n 167→ });\n 168→\n 169→ container.querySelectorAll('.deploy-btn-small').forEach(btn => {\n 170→ btn.addEventListener('click', (e) => {\n 171→ e.stopPropagation();\n 172→ this.openDeployModal(btn.dataset.strategyId);\n 173→ TG.haptic.impact();\n 174→ });\n 175→ });\n 176→ },\n 177→\n 178→ formatCategory(cat) {\n 179→ const labels = {\n 180→ momentum: 'Momentum',\n 181→ mean_reversion: 'Mean Reversion',\n 182→ arbitrage: 'Arbitrage',\n 183→ grid_trading: 'Grid Trading',\n 184→ yield_farming: 'Yield Farming',\n 185→ trend_following: 'Trend Following',\n 186→ };\n 187→ return labels[cat] || cat;\n 188→ },\n 189→\n 190→ openStrategyModal(strategyId) {\n 191→ const strategy = MarketplaceState.strategies.find(s => s.id === strategyId);\n 192→ if (!strategy) return;\n 193→\n 194→ MarketplaceState.selectedStrategy = strategy;\n 195→ TG.haptic.select();\n 196→\n 197→ // Populate modal\n 198→ el('modal-strategy-name').textContent = strategy.name;\n 199→ el('modal-strategy-badge').textContent = strategy.verified ? 'Verified' : 'Unverified';\n 200→ el('modal-strategy-badge').className = 'strategy-badge ' + (strategy.verified ? 'verified' : 'unverified');\n 201→\n 202→ el('modal-author-initials').textContent = strategy.author.charAt(0).toUpperCase();\n 203→ el('modal-author-name').textContent = strategy.author;\n 204→ el('modal-author-meta').textContent = `v${strategy.version} | ${this.formatCategory(strategy.category)}`;\n 205→\n 206→ el('modal-strategy-description').textContent = strategy.description;\n 207→\n 208→ const roi = strategy.roi_30d || 0;\n 209→ el('modal-strategy-roi').textContent = `${roi >= 0 ? '+' : ''}${roi.toFixed(1)}%`;\n 210→ el('modal-strategy-roi').className = 'modal-stat-value ' + (roi >= 0 ? 'positive' : 'negative');\n 211→\n 212→ el('modal-strategy-winrate').textContent = `${(strategy.win_rate || 0).toFixed(1)}%`;\n 213→ el('modal-strategy-trades').textContent = strategy.total_trades || 0;\n 214→ el('modal-strategy-drawdown').textContent = `-${(strategy.max_drawdown || 0).toFixed(1)}%`;\n 215→ el('modal-strategy-sharpe').textContent = (strategy.sharpe_ratio || 0).toFixed(2);\n 216→ el('modal-strategy-reputation').textContent = `${(strategy.reputation_score || 0).toFixed(1)}/10`;\n 217→\n 218→ const riskClass = strategy.risk_level === 'low' ? 'risk-low' :\n 219→ strategy.risk_level === 'high' ? 'risk-high' : 'risk-medium';\n 220→ el('modal-risk-level').textContent = strategy.risk_level.charAt(0).toUpperCase() + strategy.risk_level.slice(1);\n 221→ el('modal-risk-level').className = 'risk-value ' + riskClass;\n 222→\n 223→ el('modal-supported-assets').textContent = (strategy.supported_assets || []).join(', ');\n 224→ el('modal-min-capital').textContent = `${strategy.min_capital || 10} TON`;\n 225→\n 226→ // Show modal\n 227→ el('strategy-modal').classList.remove('hidden');\n 228→ },\n 229→\n 230→ closeStrategyModal() {\n 231→ el('strategy-modal').classList.add('hidden');\n 232→ MarketplaceState.selectedStrategy = null;\n 233→ },\n 234→\n 235→ openDeployModal(strategyId) {\n 236→ const strategy = MarketplaceState.strategies.find(s => s.id === strategyId);\n 237→ if (!strategy) return;\n 238→\n 239→ MarketplaceState.selectedStrategy = strategy;\n 240→\n 241→ // Populate deploy modal\n 242→ el('deploy-strategy-summary').innerHTML = `\n 243→ <div class=\"deploy-strategy-name\">${esc(strategy.name)}</div>\n 244→ <div class=\"deploy-strategy-meta\">\n 245→ <span>by ${esc(strategy.author)}</span>\n 246→ <span>ROI: +${(strategy.roi_30d || 0).toFixed(1)}%</span>\n 247→ </div>\n 248→ `;\n 249→\n 250→ el('deploy-capital').value = '';\n 251→ el('deploy-capital').min = strategy.min_capital || 10;\n 252→ el('deploy-min-capital').textContent = strategy.min_capital || 10;\n 253→ el('deploy-simulation').checked = true;\n 254→\n 255→ // Close strategy modal if open\n 256→ el('strategy-modal').classList.add('hidden');\n 257→\n 258→ // Show deploy modal\n 259→ el('deploy-modal').classList.remove('hidden');\n 260→ },\n 261→\n 262→ closeDeployModal() {\n 263→ el('deploy-modal').classList.add('hidden');\n 264→ },\n 265→\n 266→ async deployStrategy() {\n 267→ const strategy = MarketplaceState.selectedStrategy;\n 268→ if (!strategy) return;\n 269→\n 270→ const capital = parseFloat(el('deploy-capital').value);\n 271→ const minCapital = strategy.min_capital || 10;\n 272→\n 273→ if (isNaN(capital) || capital < minCapital) {\n 274→ TG.alert(`Please enter a valid capital amount (minimum ${minCapital} TON)`);\n 275→ return;\n 276→ }\n 277→\n 278→ const simulationMode = el('deploy-simulation').checked;\n 279→\n 280→ // In production, this would call the API\n 281→ const deployData = {\n 282→ strategyId: strategy.id,\n 283→ capitalTON: capital,\n 284→ simulationMode: simulationMode,\n 285→ };\n 286→\n 287→ console.log('[Marketplace] Deploying strategy:', deployData);\n 288→\n 289→ // Simulate API call\n 290→ TG.haptic.notify('success');\n 291→ TG.alert(`Strategy \"${strategy.name}\" deployed successfully${simulationMode ? ' (Simulation Mode)' : ''}!`);\n 292→\n 293→ this.closeDeployModal();\n 294→ },\n 295→\n 296→ toggleFilterPanel() {\n 297→ MarketplaceState.filterPanelOpen = !MarketplaceState.filterPanelOpen;\n 298→ const panel = el('marketplace-filter-panel');\n 299→ if (MarketplaceState.filterPanelOpen) {\n 300→ panel.classList.remove('hidden');\n 301→ } else {\n 302→ panel.classList.add('hidden');\n 303→ }\n 304→ TG.haptic.select();\n 305→ },\n 306→\n 307→ setCategory(category) {\n 308→ MarketplaceState.category = category;\n 309→ this.applyFilters();\n 310→ this.renderList();\n 311→ },\n 312→\n 313→ setRiskLevel(risk) {\n 314→ MarketplaceState.riskLevel = risk;\n 315→ this.applyFilters();\n 316→ this.renderList();\n 317→ },\n 318→\n 319→ setSort(sortBy) {\n 320→ MarketplaceState.sortBy = sortBy;\n 321→ this.applyFilters();\n 322→ this.renderList();\n 323→ },\n 324→\n 325→ setSearch(query) {\n 326→ MarketplaceState.searchQuery = query;\n 327→ this.applyFilters();\n 328→ this.renderList();\n 329→ },\n 330→ };\n 331→\n 332→ /* --------------------------------------------------------\n 333→ Event Handlers Setup\n 334→ -------------------------------------------------------- */\n 335→ function setupEventHandlers() {\n 336→ // Filter button\n 337→ el('marketplace-filter-btn')?.addEventListener('click', () => {\n 338→ Marketplace.toggleFilterPanel();\n 339→ });\n 340→\n 341→ // Search input\n 342→ el('marketplace-search-input')?.addEventListener('input', (e) => {\n 343→ Marketplace.setSearch(e.target.value);\n 344→ });\n 345→\n 346→ // Category tabs\n 347→ el('marketplace-categories')?.querySelectorAll('.category-btn').forEach(btn => {\n 348→ btn.addEventListener('click', () => {\n 349→ el('marketplace-categories').querySelectorAll('.category-btn').forEach(b => b.classList.remove('active'));\n 350→ btn.classList.add('active');\n 351→ Marketplace.setCategory(btn.dataset.category);\n 352→ TG.haptic.select();\n 353→ });\n 354→ });\n 355→\n 356→ // Risk filter chips\n 357→ el('risk-filter-chips')?.querySelectorAll('.chip').forEach(chip => {\n 358→ chip.addEventListener('click', () => {\n 359→ el('risk-filter-chips').querySelectorAll('.chip').forEach(c => c.classList.remove('active'));\n 360→ chip.classList.add('active');\n 361→ Marketplace.setRiskLevel(chip.dataset.risk);\n 362→ TG.haptic.select();\n 363→ });\n 364→ });\n 365→\n 366→ // Sort dropdown\n 367→ el('marketplace-sort')?.addEventListener('change', (e) => {\n 368→ Marketplace.setSort(e.target.value);\n 369→ });\n 370→\n 371→ // Strategy modal\n 372→ el('strategy-modal-overlay')?.addEventListener('click', () => {\n 373→ Marketplace.closeStrategyModal();\n 374→ });\n 375→ el('close-strategy-modal')?.addEventListener('click', () => {\n 376→ Marketplace.closeStrategyModal();\n 377→ });\n 378→ el('deploy-strategy-btn')?.addEventListener('click', () => {\n 379→ if (MarketplaceState.selectedStrategy) {\n 380→ Marketplace.openDeployModal(MarketplaceState.selectedStrategy.id);\n 381→ }\n 382→ });\n 383→\n 384→ // Deploy modal\n 385→ el('deploy-modal-overlay')?.addEventListener('click', () => {\n 386→ Marketplace.closeDeployModal();\n 387→ });\n 388→ el('cancel-deploy-btn')?.addEventListener('click', () => {\n 389→ Marketplace.closeDeployModal();\n 390→ });\n 391→ el('confirm-deploy-btn')?.addEventListener('click', () => {\n 392→ Marketplace.deployStrategy();\n 393→ });\n 394→ }\n 395→\n 396→ // Initialize when DOM is ready\n 397→ if (document.readyState === 'loading') {\n 398→ document.addEventListener('DOMContentLoaded', setupEventHandlers);\n 399→ } else {\n 400→ setupEventHandlers();\n 401→ }\n 402→\n 403→ window.Marketplace = Marketplace;\n 404→})();\n 405→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TON AI Agent – Strategy Marketplace Component\n * Browse, discover, and deploy trading strategies from the marketplace\n */\n(function () {\n 'use strict';\n\n const { State, API, DemoData, Fmt, el, esc, TG } = window.App;\n\n // Local marketplace state\n const MarketplaceState = {\n strategies: [],\n filteredStrategies: [],\n selectedStrategy: null,\n category: 'all',\n riskLevel: 'all',\n sortBy: 'roi',\n searchQuery: '',\n filterPanelOpen: false,\n };\n\n const Marketplace = {\n async refresh() {\n await this.load();\n },\n\n async load() {\n let data = await API.get('/marketplace/strategies');\n if (!data) data = { strategies: DemoData.marketplace() };\n\n const strategies = data.strategies || data;\n MarketplaceState.strategies = Array.isArray(strategies) ? strategies : [];\n this.applyFilters();\n this.renderSummary();\n this.renderList();\n },\n\n applyFilters() {\n let result = [...MarketplaceState.strategies];\n\n // Category filter\n if (MarketplaceState.category !== 'all') {\n result = result.filter(s => s.category === MarketplaceState.category);\n }\n\n // Risk level filter\n if (MarketplaceState.riskLevel !== 'all') {\n result = result.filter(s => s.risk_level === MarketplaceState.riskLevel);\n }\n\n // Search filter\n if (MarketplaceState.searchQuery) {\n const q = MarketplaceState.searchQuery.toLowerCase();\n result = result.filter(s =>\n s.name.toLowerCase().includes(q) ||\n s.description.toLowerCase().includes(q) ||\n s.author.toLowerCase().includes(q)\n );\n }\n\n // Sort\n result.sort((a, b) => {\n switch (MarketplaceState.sortBy) {\n case 'roi':\n return b.roi_30d - a.roi_30d;\n case 'sharpe':\n return b.sharpe_ratio - a.sharpe_ratio;\n case 'popularity':\n return b.active_users - a.active_users;\n case 'newest':\n return new Date(b.published_at) - new Date(a.published_at);\n default:\n return 0;\n }\n });\n\n MarketplaceState.filteredStrategies = result;\n },\n\n renderSummary() {\n const list = MarketplaceState.strategies;\n el('mp-total-strategies').textContent = list.length;\n\n if (list.length > 0) {\n const topRoi = Math.max(...list.map(s => s.roi_30d || 0));\n el('mp-top-roi').textContent = `+${topRoi.toFixed(1)}%`;\n\n const totalUsers = list.reduce((sum, s) => sum + (s.active_users || 0), 0);\n el('mp-active-users').textContent = totalUsers;\n } else {\n el('mp-top-roi').textContent = '0%';\n el('mp-active-users').textContent = '0';\n }\n },\n\n renderList() {\n const list = MarketplaceState.filteredStrategies;\n const container = el('marketplace-list');\n const empty = el('marketplace-empty');\n\n if (!list.length) {\n empty.classList.remove('hidden');\n container.innerHTML = '';\n return;\n }\n\n empty.classList.add('hidden');\n\n container.innerHTML = list.map(s => {\n const roi = s.roi_30d || 0;\n const riskClass = s.risk_level === 'low' ? 'risk-low' :\n s.risk_level === 'high' ? 'risk-high' : 'risk-medium';\n const riskLabel = s.risk_level.charAt(0).toUpperCase() + s.risk_level.slice(1);\n const categoryLabel = this.formatCategory(s.category);\n\n return `\n <div class=\"marketplace-card\" data-strategy-id=\"${esc(s.id)}\">\n <div class=\"marketplace-card-header\">\n <div class=\"strategy-info\">\n <span class=\"strategy-name\">${esc(s.name)}</span>\n ${s.verified ? '<span class=\"verified-badge\">Verified</span>' : ''}\n </div>\n <span class=\"category-tag\">${esc(categoryLabel)}</span>\n </div>\n <div class=\"strategy-author-row\">\n <span class=\"author-label\">by ${esc(s.author)}</span>\n <span class=\"version-label\">v${esc(s.version)}</span>\n </div>\n <div class=\"strategy-description-preview\">${esc(s.description)}</div>\n <div class=\"marketplace-metrics-grid\">\n <div class=\"marketplace-metric\">\n <div class=\"metric-label\">ROI (30d)</div>\n <div class=\"metric-value ${roi >= 0 ? 'positive' : 'negative'}\">\n ${roi >= 0 ? '+' : ''}${roi.toFixed(1)}%\n </div>\n </div>\n <div class=\"marketplace-metric\">\n <div class=\"metric-label\">Win Rate</div>\n <div class=\"metric-value\">${(s.win_rate || 0).toFixed(1)}%</div>\n </div>\n <div class=\"marketplace-metric\">\n <div class=\"metric-label\">Trades</div>\n <div class=\"metric-value\">${s.total_trades || 0}</div>\n </div>\n <div class=\"marketplace-metric\">\n <div class=\"metric-label\">Risk</div>\n <div class=\"metric-value ${riskClass}\">${riskLabel}</div>\n </div>\n </div>\n <div class=\"marketplace-card-footer\">\n <div class=\"footer-stats\">\n <span class=\"reputation-score\">Score: ${(s.reputation_score || 0).toFixed(1)}/10</span>\n <span class=\"active-users\">${s.active_users || 0} users</span>\n </div>\n <button class=\"deploy-btn-small\" data-strategy-id=\"${esc(s.id)}\">Deploy</button>\n </div>\n </div>\n `;\n }).join('');\n\n // Attach click handlers\n container.querySelectorAll('.marketplace-card').forEach(card => {\n card.addEventListener('click', (e) => {\n if (e.target.closest('.deploy-btn-small')) return;\n this.openStrategyModal(card.dataset.strategyId);\n });\n });\n\n container.querySelectorAll('.deploy-btn-small').forEach(btn => {\n btn.addEventListener('click', (e) => {\n e.stopPropagation();\n this.openDeployModal(btn.dataset.strategyId);\n TG.haptic.impact();\n });\n });\n },\n\n formatCategory(cat) {\n const labels = {\n momentum: 'Momentum',\n mean_reversion: 'Mean Reversion',\n arbitrage: 'Arbitrage',\n grid_trading: 'Grid Trading',\n yield_farming: 'Yield Farming',\n trend_following: 'Trend Following',\n };\n return labels[cat] || cat;\n },\n\n openStrategyModal(strategyId) {\n const strategy = MarketplaceState.strategies.find(s => s.id === strategyId);\n if (!strategy) return;\n\n MarketplaceState.selectedStrategy = strategy;\n TG.haptic.select();\n\n // Populate modal\n el('modal-strategy-name').textContent = strategy.name;\n el('modal-strategy-badge').textContent = strategy.verified ? 'Verified' : 'Unverified';\n el('modal-strategy-badge').className = 'strategy-badge ' + (strategy.verified ? 'verified' : 'unverified');\n\n el('modal-author-initials').textContent = strategy.author.charAt(0).toUpperCase();\n el('modal-author-name').textContent = strategy.author;\n el('modal-author-meta').textContent = `v${strategy.version} | ${this.formatCategory(strategy.category)}`;\n\n el('modal-strategy-description').textContent = strategy.description;\n\n const roi = strategy.roi_30d || 0;\n el('modal-strategy-roi').textContent = `${roi >= 0 ? '+' : ''}${roi.toFixed(1)}%`;\n el('modal-strategy-roi').className = 'modal-stat-value ' + (roi >= 0 ? 'positive' : 'negative');\n\n el('modal-strategy-winrate').textContent = `${(strategy.win_rate || 0).toFixed(1)}%`;\n el('modal-strategy-trades').textContent = strategy.total_trades || 0;\n el('modal-strategy-drawdown').textContent = `-${(strategy.max_drawdown || 0).toFixed(1)}%`;\n el('modal-strategy-sharpe').textContent = (strategy.sharpe_ratio || 0).toFixed(2);\n el('modal-strategy-reputation').textContent = `${(strategy.reputation_score || 0).toFixed(1)}/10`;\n\n const riskClass = strategy.risk_level === 'low' ? 'risk-low' :\n strategy.risk_level === 'high' ? 'risk-high' : 'risk-medium';\n el('modal-risk-level').textContent = strategy.risk_level.charAt(0).toUpperCase() + strategy.risk_level.slice(1);\n el('modal-risk-level').className = 'risk-value ' + riskClass;\n\n el('modal-supported-assets').textContent = (strategy.supported_assets || []).join(', ');\n el('modal-min-capital').textContent = `${strategy.min_capital || 10} TON`;\n\n // Show modal\n el('strategy-modal').classList.remove('hidden');\n },\n\n closeStrategyModal() {\n el('strategy-modal').classList.add('hidden');\n MarketplaceState.selectedStrategy = null;\n },\n\n openDeployModal(strategyId) {\n const strategy = MarketplaceState.strategies.find(s => s.id === strategyId);\n if (!strategy) return;\n\n MarketplaceState.selectedStrategy = strategy;\n\n // Populate deploy modal\n el('deploy-strategy-summary').innerHTML = `\n <div class=\"deploy-strategy-name\">${esc(strategy.name)}</div>\n <div class=\"deploy-strategy-meta\">\n <span>by ${esc(strategy.author)}</span>\n <span>ROI: +${(strategy.roi_30d || 0).toFixed(1)}%</span>\n </div>\n `;\n\n el('deploy-capital').value = '';\n el('deploy-capital').min = strategy.min_capital || 10;\n el('deploy-min-capital').textContent = strategy.min_capital || 10;\n el('deploy-simulation').checked = true;\n\n // Close strategy modal if open\n el('strategy-modal').classList.add('hidden');\n\n // Show deploy modal\n el('deploy-modal').classList.remove('hidden');\n },\n\n closeDeployModal() {\n el('deploy-modal').classList.add('hidden');\n },\n\n async deployStrategy() {\n const strategy = MarketplaceState.selectedStrategy;\n if (!strategy) return;\n\n const capital = parseFloat(el('deploy-capital').value);\n const minCapital = strategy.min_capital || 10;\n\n if (isNaN(capital) || capital < minCapital) {\n TG.alert(`Please enter a valid capital amount (minimum ${minCapital} TON)`);\n return;\n }\n\n const simulationMode = el('deploy-simulation').checked;\n\n // In production, this would call the API\n const deployData = {\n strategyId: strategy.id,\n capitalTON: capital,\n simulationMode: simulationMode,\n };\n\n console.log('[Marketplace] Deploying strategy:', deployData);\n\n // Simulate API call\n TG.haptic.notify('success');\n TG.alert(`Strategy \"${strategy.name}\" deployed successfully${simulationMode ? ' (Simulation Mode)' : ''}!`);\n\n this.closeDeployModal();\n },\n\n toggleFilterPanel() {\n MarketplaceState.filterPanelOpen = !MarketplaceState.filterPanelOpen;\n const panel = el('marketplace-filter-panel');\n if (MarketplaceState.filterPanelOpen) {\n panel.classList.remove('hidden');\n } else {\n panel.classList.add('hidden');\n }\n TG.haptic.select();\n },\n\n setCategory(category) {\n MarketplaceState.category = category;\n this.applyFilters();\n this.renderList();\n },\n\n setRiskLevel(risk) {\n MarketplaceState.riskLevel = risk;\n this.applyFilters();\n this.renderList();\n },\n\n setSort(sortBy) {\n MarketplaceState.sortBy = sortBy;\n this.applyFilters();\n this.renderList();\n },\n\n setSearch(query) {\n MarketplaceState.searchQuery = query;\n this.applyFilters();\n this.renderList();\n },\n };\n\n /* --------------------------------------------------------\n Event Handlers Setup\n -------------------------------------------------------- */\n function setupEventHandlers() {\n // Filter button\n el('marketplace-filter-btn')?.addEventListener('click', () => {\n Marketplace.toggleFilterPanel();\n });\n\n // Search input\n el('marketplace-search-input')?.addEventListener('input', (e) => {\n Marketplace.setSearch(e.target.value);\n });\n\n // Category tabs\n el('marketplace-categories')?.querySelectorAll('.category-btn').forEach(btn => {\n btn.addEventListener('click', () => {\n el('marketplace-categories').querySelectorAll('.category-btn').forEach(b => b.classList.remove('active'));\n btn.classList.add('active');\n Marketplace.setCategory(btn.dataset.category);\n TG.haptic.select();\n });\n });\n\n // Risk filter chips\n el('risk-filter-chips')?.querySelectorAll('.chip').forEach(chip => {\n chip.addEventListener('click', () => {\n el('risk-filter-chips').querySelectorAll('.chip').forEach(c => c.classList.remove('active'));\n chip.classList.add('active');\n Marketplace.setRiskLevel(chip.dataset.risk);\n TG.haptic.select();\n });\n });\n\n // Sort dropdown\n el('marketplace-sort')?.addEventListener('change', (e) => {\n Marketplace.setSort(e.target.value);\n });\n\n // Strategy modal\n el('strategy-modal-overlay')?.addEventListener('click', () => {\n Marketplace.closeStrategyModal();\n });\n el('close-strategy-modal')?.addEventListener('click', () => {\n Marketplace.closeStrategyModal();\n });\n el('deploy-strategy-btn')?.addEventListener('click', () => {\n if (MarketplaceState.selectedStrategy) {\n Marketplace.openDeployModal(MarketplaceState.selectedStrategy.id);\n }\n });\n\n // Deploy modal\n el('deploy-modal-overlay')?.addEventListener('click', () => {\n Marketplace.closeDeployModal();\n });\n el('cancel-deploy-btn')?.addEventListener('click', () => {\n Marketplace.closeDeployModal();\n });\n el('confirm-deploy-btn')?.addEventListener('click', () => {\n Marketplace.deployStrategy();\n });\n }\n\n // Initialize when DOM is ready\n if (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', setupEventHandlers);\n } else {\n setupEventHandlers();\n }\n\n window.Marketplace = Marketplace;\n})();\n", | |
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| "content": " 1→/**\n 2→ * TON AI Agent – Portfolio Dashboard\n 3→ * Main application bootstrap, Telegram integration, routing, shared state\n 4→ */\n 5→(function () {\n 6→ 'use strict';\n 7→\n 8→ /* ============================================================\n 9→ Telegram WebApp Integration\n 10→ ============================================================ */\n 11→ const tg = window.Telegram?.WebApp;\n 12→\n 13→ const TG = {\n 14→ init() {\n 15→ if (!tg) {\n 16→ this._standaloneMode();\n 17→ return;\n 18→ }\n 19→ tg.expand();\n 20→ tg.enableClosingConfirmation();\n 21→ this._applyTheme();\n 22→ tg.onEvent('themeChanged', () => this._applyTheme());\n 23→ tg.ready();\n 24→ window.dispatchEvent(new CustomEvent('tg:ready', {\n 25→ detail: { user: tg.initDataUnsafe?.user || null, initData: tg.initData }\n 26→ }));\n 27→ },\n 28→\n 29→ _applyTheme() {\n 30→ const params = tg?.themeParams || {};\n 31→ const mappings = {\n 32→ bg_color: '--tg-theme-bg-color',\n 33→ text_color: '--tg-theme-text-color',\n 34→ hint_color: '--tg-theme-hint-color',\n 35→ link_color: '--tg-theme-link-color',\n 36→ button_color: '--tg-theme-button-color',\n 37→ button_text_color: '--tg-theme-button-text-color',\n 38→ secondary_bg_color: '--tg-theme-secondary-bg-color',\n 39→ };\n 40→ Object.entries(mappings).forEach(([k, v]) => {\n 41→ if (params[k]) document.documentElement.style.setProperty(v, params[k]);\n 42→ });\n 43→ document.documentElement.setAttribute('data-theme', tg?.colorScheme || 'dark');\n 44→ },\n 45→\n 46→ _standaloneMode() {\n 47→ // Demo/standalone defaults (dark theme)\n 48→ const defaults = {\n 49→ '--tg-theme-bg-color': '#0e1117',\n 50→ '--tg-theme-secondary-bg-color': '#1a1f2e',\n 51→ '--tg-theme-text-color': '#e8edf5',\n 52→ '--tg-theme-hint-color': '#6b7a99',\n 53→ '--tg-theme-link-color': '#00A8FF',\n 54→ '--tg-theme-button-color': '#0088CC',\n 55→ '--tg-theme-button-text-color': '#ffffff',\n 56→ };\n 57→ Object.entries(defaults).forEach(([k, v]) =>\n 58→ document.documentElement.style.setProperty(k, v));\n 59→ document.documentElement.setAttribute('data-theme', 'dark');\n 60→\n 61→ window.dispatchEvent(new CustomEvent('tg:ready', {\n 62→ detail: { user: { id: 'demo', first_name: 'Demo', last_name: 'User', username: 'demo' }, initData: '' }\n 63→ }));\n 64→ },\n 65→\n 66→ haptic: {\n 67→ impact(s = 'light') { tg?.HapticFeedback?.impactOccurred(s); },\n 68→ select() { tg?.HapticFeedback?.selectionChanged(); },\n 69→ notify(t = 'success') { tg?.HapticFeedback?.notificationOccurred(t); },\n 70→ },\n 71→\n 72→ alert(msg) { tg ? tg.showAlert(msg) : alert(msg); },\n 73→ confirm(msg, cb) { tg ? tg.showConfirm(msg, cb) : cb(confirm(msg)); },\n 74→ showBackButton(cb) { if (tg) { tg.BackButton.show(); if (cb) tg.BackButton.onClick(cb); } },\n 75→ hideBackButton() { if (tg) { tg.BackButton.hide(); tg.BackButton.offClick(() => {}); } },\n 76→ };\n 77→\n 78→ /* ============================================================\n 79→ API Client – connects to Portfolio API\n 80→ ============================================================ */\n 81→ const API = {\n 82→ baseUrl: '/api',\n 83→ initData: '',\n 84→\n 85→ async request(endpoint, options = {}) {\n 86→ const url = `${this.baseUrl}${endpoint}`;\n 87→ const headers = { 'Content-Type': 'application/json', ...options.headers };\n 88→ if (this.initData) headers['X-Telegram-Init-Data'] = this.initData;\n 89→ try {\n 90→ const res = await fetch(url, { ...options, headers });\n 91→ if (!res.ok) throw new Error(`HTTP ${res.status}`);\n 92→ return await res.json();\n 93→ } catch (err) {\n 94→ console.warn('[API] request failed, using demo data:', err.message);\n 95→ return null;\n 96→ }\n 97→ },\n 98→\n 99→ get(path) { return this.request(path); },\n 100→ };\n 101→\n 102→ /* ============================================================\n 103→ Demo Data Generator\n 104→ Mirrors the PHP PortfolioAnalytics demo data\n 105→ ============================================================ */\n 106→ const DemoData = {\n 107→ portfolio() {\n 108→ return {\n 109→ agent_id: 'agent_001',\n 110→ portfolio_value: 15450.50,\n 111→ total_cost: 13000.00,\n 112→ profit: 2450.50,\n 113→ roi: 18.85,\n 114→ unrealized_pnl: 950.50,\n 115→ realized_pnl: 1500.00,\n 116→ day_change: 234.75,\n 117→ day_change_percent: 1.54,\n 118→ total_fees: 42.30,\n 119→ strategy_count: 3,\n 120→ open_position_count: 4,\n 121→ capital_utilization: 87.5,\n 122→ last_updated: new Date().toISOString(),\n 123→ };\n 124→ },\n 125→\n 126→ portfolioValue() {\n 127→ return {\n 128→ portfolio_value: 15450.50,\n 129→ quote_currency: 'USD',\n 130→ assets: [\n 131→ { asset: 'BTC', balance: 0.10, price: 65000, value: 6500.00 },\n 132→ { asset: 'ETH', balance: 2.00, price: 3500, value: 7000.00 },\n 133→ { asset: 'TON', balance: 500.0, price: 5.25, value: 2625.00 },\n 134→ { asset: 'USD', balance: 725.5, price: 1.0, value: 725.50 },\n 135→ ],\n 136→ timestamp: new Date().toISOString(),\n 137→ };\n 138→ },\n 139→\n 140→ agents() {\n 141→ return [\n 142→ {\n 143→ id: 'agent_001',\n 144→ name: 'Alpha Bot',\n 145→ strategy: 'DCA Strategy',\n 146→ status: 'active',\n 147→ value: 8200.00,\n 148→ profit: 1350.00,\n 149→ roi: 19.7,\n 150→ win_rate: 68.5,\n 151→ total_trades: 42,\n 152→ },\n 153→ {\n 154→ id: 'agent_002',\n 155→ name: 'Yield Hunter',\n 156→ strategy: 'Yield Optimizer',\n 157→ status: 'active',\n 158→ value: 4750.50,\n 159→ profit: 875.00,\n 160→ roi: 22.6,\n 161→ win_rate: 74.2,\n 162→ total_trades: 28,\n 163→ },\n 164→ {\n 165→ id: 'agent_003',\n 166→ name: 'Arbitrage X',\n 167→ strategy: 'DEX Arbitrage',\n 168→ status: 'paused',\n 169→ value: 2500.00,\n 170→ profit: 225.50,\n 171→ roi: 9.9,\n 172→ win_rate: 61.0,\n 173→ total_trades: 17,\n 174→ },\n 175→ ];\n 176→ },\n 177→\n 178→ strategies(period = '30d') {\n 179→ const factor = period === '7d' ? 0.25 : period === '90d' ? 3 : period === 'all_time' ? 12 : 1;\n 180→ return [\n 181→ {\n 182→ strategy_id: 'dca_001',\n 183→ strategy_name: 'DCA Strategy',\n 184→ roi: 19.7 * factor,\n 185→ annualized_return: 28.4,\n 186→ win_rate: 68.5,\n 187→ max_drawdown: 3.2,\n 188→ total_trades: Math.round(42 * factor),\n 189→ sharpe_ratio: 1.82,\n 190→ profit_factor: 2.1,\n 191→ },\n 192→ {\n 193→ strategy_id: 'yield_001',\n 194→ strategy_name: 'Yield Optimizer',\n 195→ roi: 22.6 * factor,\n 196→ annualized_return: 35.1,\n 197→ win_rate: 74.2,\n 198→ max_drawdown: 5.8,\n 199→ total_trades: Math.round(28 * factor),\n 200→ sharpe_ratio: 2.14,\n 201→ profit_factor: 2.7,\n 202→ },\n 203→ {\n 204→ strategy_id: 'arb_001',\n 205→ strategy_name: 'DEX Arbitrage',\n 206→ roi: 9.9 * factor,\n 207→ annualized_return: 14.8,\n 208→ win_rate: 61.0,\n 209→ max_drawdown: 7.1,\n 210→ total_trades: Math.round(17 * factor),\n 211→ sharpe_ratio: 1.23,\n 212→ profit_factor: 1.6,\n 213→ },\n 214→ ];\n 215→ },\n 216→\n 217→ trades(page = 1, perPage = 20, filters = {}) {\n 218→ const actions = ['BUY', 'SELL'];\n 219→ const assets = ['BTC', 'ETH', 'TON', 'SOL'];\n 220→ const all = Array.from({ length: 87 }, (_, i) => {\n 221→ const action = actions[i % 2];\n 222→ const asset = assets[i % 4];\n 223→ const price = { BTC: 65000, ETH: 3500, TON: 5.25, SOL: 175 }[asset];\n 224→ const amount = parseFloat((0.01 + Math.random() * 0.5).toFixed(4));\n 225→ const value = parseFloat((amount * price).toFixed(2));\n 226→ const pnl = action === 'SELL' ? parseFloat(((Math.random() - 0.35) * value * 0.05).toFixed(2)) : 0;\n 227→ const ts = new Date(Date.now() - (i * 3600000 * 6));\n 228→ return {\n 229→ id: `trade_${String(i + 1).padStart(3, '0')}`,\n 230→ asset,\n 231→ action,\n 232→ price,\n 233→ amount,\n 234→ value,\n 235→ fee: parseFloat((value * 0.001).toFixed(2)),\n 236→ pnl,\n 237→ timestamp: ts.toISOString(),\n 238→ strategy_name: ['DCA Strategy', 'Yield Optimizer', 'DEX Arbitrage'][i % 3],\n 239→ };\n 240→ });\n 241→\n 242→ let filtered = all;\n 243→ if (filters.action && filters.action !== 'all') {\n 244→ filtered = filtered.filter(t => t.action === filters.action);\n 245→ }\n 246→ if (filters.asset && filters.asset !== 'all') {\n 247→ filtered = filtered.filter(t => t.asset === filters.asset);\n 248→ }\n 249→ if (filters.sort === 'asc') filtered = filtered.reverse();\n 250→\n 251→ const total = filtered.length;\n 252→ const start = (page - 1) * perPage;\n 253→ return {\n 254→ trades: filtered.slice(start, start + perPage),\n 255→ pagination: { page, per_page: perPage, total, pages: Math.ceil(total / perPage) },\n 256→ };\n 257→ },\n 258→\n 259→ metrics() {\n 260→ return {\n 261→ portfolio_value: 15450.50,\n 262→ profit: 2450.50,\n 263→ roi: '18.85%',\n 264→ total_trades: 87,\n 265→ win_rate: '68.4%',\n 266→ max_drawdown: '5.8%',\n 267→ avg_trade_profit: 28.17,\n 268→ strategies: this.strategies(),\n 269→ };\n 270→ },\n 271→\n 272→ marketplace() {\n 273→ return [\n 274→ {\n 275→ id: 'strategy_001',\n 276→ name: 'Momentum Trader',\n 277→ description: 'Captures short-term price momentum using moving average crossovers and volume confirmation.',\n 278→ author: 'TradingMaster',\n 279→ author_id: 'creator_001',\n 280→ category: 'momentum',\n 281→ risk_level: 'medium',\n 282→ supported_assets: ['BTC', 'ETH', 'TON'],\n 283→ version: '1.0.0',\n 284→ verified: true,\n 285→ roi_30d: 8.2,\n 286→ win_rate: 68.5,\n 287→ total_trades: 124,\n 288→ max_drawdown: 5.8,\n 289→ sharpe_ratio: 1.82,\n 290→ reputation_score: 8.7,\n 291→ active_users: 342,\n 292→ min_capital: 10,\n 293→ published_at: '2026-02-15T10:30:00Z',\n 294→ },\n 295→ {\n 296→ id: 'strategy_002',\n 297→ name: 'Mean Reversion Pro',\n 298→ description: 'Exploits price mean reversion patterns with statistical analysis and Bollinger Bands.',\n 299→ author: 'QuantLab',\n 300→ author_id: 'creator_002',\n 301→ category: 'mean_reversion',\n 302→ risk_level: 'low',\n 303→ supported_assets: ['BTC', 'ETH'],\n 304→ version: '2.1.0',\n 305→ verified: true,\n 306→ roi_30d: 5.4,\n 307→ win_rate: 72.1,\n 308→ total_trades: 89,\n 309→ max_drawdown: 3.2,\n 310→ sharpe_ratio: 2.14,\n 311→ reputation_score: 9.1,\n 312→ active_users: 518,\n 313→ min_capital: 50,\n 314→ published_at: '2026-01-20T08:15:00Z',\n 315→ },\n 316→ {\n 317→ id: 'strategy_003',\n 318→ name: 'DEX Arbitrage Hunter',\n 319→ description: 'Identifies and executes arbitrage opportunities across TON DEX protocols.',\n 320→ author: 'ArbitrageKing',\n 321→ author_id: 'creator_003',\n 322→ category: 'arbitrage',\n 323→ risk_level: 'high',\n 324→ supported_assets: ['TON', 'USDT'],\n 325→ version: '1.2.0',\n 326→ verified: true,\n 327→ roi_30d: 12.7,\n 328→ win_rate: 61.3,\n 329→ total_trades: 456,\n 330→ max_drawdown: 8.5,\n 331→ sharpe_ratio: 1.45,\n 332→ reputation_score: 7.8,\n 333→ active_users: 156,\n 334→ min_capital: 100,\n 335→ published_at: '2026-02-01T14:45:00Z',\n 336→ },\n 337→ {\n 338→ id: 'strategy_004',\n 339→ name: 'Grid Trading Bot',\n 340→ description: 'Automated grid trading strategy for ranging markets with configurable grid levels.',\n 341→ author: 'GridMaster',\n 342→ author_id: 'creator_004',\n 343→ category: 'grid_trading',\n 344→ risk_level: 'medium',\n 345→ supported_assets: ['BTC', 'ETH', 'TON', 'SOL'],\n 346→ version: '1.5.0',\n 347→ verified: true,\n 348→ roi_30d: 6.8,\n 349→ win_rate: 65.2,\n 350→ total_trades: 312,\n 351→ max_drawdown: 4.7,\n 352→ sharpe_ratio: 1.68,\n 353→ reputation_score: 8.2,\n 354→ active_users: 289,\n 355→ min_capital: 25,\n 356→ published_at: '2026-02-10T11:20:00Z',\n 357→ },\n 358→ {\n 359→ id: 'strategy_005',\n 360→ name: 'Yield Optimizer',\n 361→ description: 'Maximizes DeFi yields by automatically rebalancing across TON yield protocols.',\n 362→ author: 'YieldHunter',\n 363→ author_id: 'creator_005',\n 364→ category: 'yield_farming',\n 365→ risk_level: 'low',\n 366→ supported_assets: ['TON', 'USDT', 'USDC'],\n 367→ version: '3.0.0',\n 368→ verified: true,\n 369→ roi_30d: 4.2,\n 370→ win_rate: 85.6,\n 371→ total_trades: 67,\n 372→ max_drawdown: 2.1,\n 373→ sharpe_ratio: 2.45,\n 374→ reputation_score: 9.4,\n 375→ active_users: 723,\n 376→ min_capital: 100,\n 377→ published_at: '2025-12-05T09:00:00Z',\n 378→ },\n 379→ {\n 380→ id: 'strategy_006',\n 381→ name: 'Trend Following Alpha',\n 382→ description: 'Multi-timeframe trend following strategy with dynamic position sizing.',\n 383→ author: 'AlphaTrader',\n 384→ author_id: 'creator_006',\n 385→ category: 'momentum',\n 386→ risk_level: 'medium',\n 387→ supported_assets: ['BTC', 'ETH'],\n 388→ version: '1.1.0',\n 389→ verified: false,\n 390→ roi_30d: 9.5,\n 391→ win_rate: 58.9,\n 392→ total_trades: 78,\n 393→ max_drawdown: 7.2,\n 394→ sharpe_ratio: 1.52,\n 395→ reputation_score: 7.2,\n 396→ active_users: 98,\n 397→ min_capital: 20,\n 398→ published_at: '2026-03-01T16:30:00Z',\n 399→ },\n 400→ ];\n 401→ },\n 402→ };\n 403→\n 404→ /* ============================================================\n 405→ App State\n 406→ ============================================================ */\n 407→ const State = {\n 408→ user: null,\n 409→ currentPage: 'portfolio',\n 410→ portfolio: null,\n 411→ portfolioValue: null,\n 412→ agents: [],\n 413→ strategies: [],\n 414→ trades: { list: [], pagination: {} },\n 415→ tradeFilters: { action: 'all', asset: 'all', sort: 'desc' },\n 416→ tradePage: 1,\n 417→ tradePerPage: 20,\n 418→ strategyPeriod: '30d',\n 419→ selectedAgentId: null,\n 420→ };\n 421→\n 422→ /* ============================================================\n 423→ Router / Navigation\n 424→ ============================================================ */\n 425→ function showPage(name) {\n 426→ if (State.currentPage === name) return;\n 427→ State.currentPage = name;\n 428→\n 429→ document.querySelectorAll('.page').forEach(p => p.classList.add('hidden'));\n 430→ document.querySelectorAll('.nav-item').forEach(n => n.classList.remove('active'));\n 431→\n 432→ const page = document.getElementById(`page-${name}`);\n 433→ if (page) page.classList.remove('hidden');\n 434→\n 435→ const navBtn = document.querySelector(`.nav-item[data-page=\"${name}\"]`);\n 436→ if (navBtn) navBtn.classList.add('active');\n 437→\n 438→ TG.haptic.select();\n 439→\n 440→ // Load data on demand\n 441→ switch (name) {\n 442→ case 'portfolio': Portfolio.refresh(); break;\n 443→ case 'agents': Agents.refresh(); break;\n 444→ case 'strategies': Strategies.refresh(); break;\n 445→ case 'trades': Trades.refresh(); break;\n 446→ case 'marketplace': if (window.Marketplace) { Marketplace.refresh(); } break;\n 447→ case 'growth': if (window.Growth) { Growth.init(); Growth.render(); } break;\n 448→ }\n 449→ }\n 450→\n 451→ /* ============================================================\n 452→ Utilities\n 453→ ============================================================ */\n 454→ const Fmt = {\n 455→ usd(v) {\n 456→ const abs = Math.abs(v);\n 457→ return new Intl.NumberFormat('en-US', { minimumFractionDigits: 2, maximumFractionDigits: 2 }).format(abs);\n 458→ },\n 459→ pct(v) {\n 460→ const n = parseFloat(v);\n 461→ return `${n >= 0 ? '+' : ''}${n.toFixed(2)}%`;\n 462→ },\n 463→ ts(iso) {\n 464→ const d = new Date(iso);\n 465→ return d.toLocaleString('en-US', { month: 'short', day: 'numeric', hour: '2-digit', minute: '2-digit' });\n 466→ },\n 467→ sign(v) { return v >= 0 ? '+$' : '-$'; },\n 468→ };\n 469→\n 470→ function esc(s) {\n 471→ const d = document.createElement('div');\n 472→ d.textContent = String(s ?? '');\n 473→ return d.innerHTML;\n 474→ }\n 475→\n 476→ function el(id) { return document.getElementById(id); }\n 477→\n 478→ /* ============================================================\n 479→ Init\n 480→ ============================================================ */\n 481→ function init() {\n 482→ // Navigation\n 483→ document.querySelectorAll('.nav-item').forEach(btn => {\n 484→ btn.addEventListener('click', () => showPage(btn.dataset.page));\n 485→ });\n 486→\n 487→ // Refresh button\n 488→ el('refresh-btn')?.addEventListener('click', () => {\n 489→ TG.haptic.impact();\n 490→ Portfolio.refresh();\n 491→ });\n 492→\n 493→ // Telegram ready\n 494→ window.addEventListener('tg:ready', (e) => {\n 495→ State.user = e.detail.user;\n 496→ API.initData = e.detail.initData || '';\n 497→ onReady();\n 498→ });\n 499→\n 500→ TG.init();\n 501→ }\n 502→\n 503→ function onReady() {\n 504→ // Show app\n 505→ el('loading').classList.add('hidden');\n 506→ el('main-content').classList.remove('hidden');\n 507→\n 508→ // User info\n 509→ if (State.user) {\n 510→ const first = State.user.first_name || 'User';\n 511→ const last = State.user.last_name || '';\n 512→ el('user-name').textContent = first;\n 513→ el('avatar-initials').textContent = (first[0] + (last[0] || '')).toUpperCase();\n 514→ }\n 515→\n 516→ // Check for onboarding (after all components loaded)\n 517→ setTimeout(() => {\n 518→ if (window.Onboarding && window.Onboarding.isFirstTimeUser) {\n 519→ window.Onboarding.init();\n 520→ }\n 521→ }, 100);\n 522→\n 523→ // Load first page\n 524→ Portfolio.refresh();\n 525→ }\n 526→\n 527→ /* ============================================================\n 528→ Public exports for components\n 529→ ============================================================ */\n 530→ window.App = { State, API, DemoData, Fmt, esc, el, TG, showPage };\n 531→\n 532→ // Start when DOM is ready\n 533→ if (document.readyState === 'loading') {\n 534→ document.addEventListener('DOMContentLoaded', init);\n 535→ } else {\n 536→ init();\n 537→ }\n 538→})();\n 539→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "945432d6-8c11-48cf-aa03-0116b40fa9b3", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/miniapp/app.js", | |
| "content": "/**\n * TON AI Agent – Portfolio Dashboard\n * Main application bootstrap, Telegram integration, routing, shared state\n */\n(function () {\n 'use strict';\n\n /* ============================================================\n Telegram WebApp Integration\n ============================================================ */\n const tg = window.Telegram?.WebApp;\n\n const TG = {\n init() {\n if (!tg) {\n this._standaloneMode();\n return;\n }\n tg.expand();\n tg.enableClosingConfirmation();\n this._applyTheme();\n tg.onEvent('themeChanged', () => this._applyTheme());\n tg.ready();\n window.dispatchEvent(new CustomEvent('tg:ready', {\n detail: { user: tg.initDataUnsafe?.user || null, initData: tg.initData }\n }));\n },\n\n _applyTheme() {\n const params = tg?.themeParams || {};\n const mappings = {\n bg_color: '--tg-theme-bg-color',\n text_color: '--tg-theme-text-color',\n hint_color: '--tg-theme-hint-color',\n link_color: '--tg-theme-link-color',\n button_color: '--tg-theme-button-color',\n button_text_color: '--tg-theme-button-text-color',\n secondary_bg_color: '--tg-theme-secondary-bg-color',\n };\n Object.entries(mappings).forEach(([k, v]) => {\n if (params[k]) document.documentElement.style.setProperty(v, params[k]);\n });\n document.documentElement.setAttribute('data-theme', tg?.colorScheme || 'dark');\n },\n\n _standaloneMode() {\n // Demo/standalone defaults (dark theme)\n const defaults = {\n '--tg-theme-bg-color': '#0e1117',\n '--tg-theme-secondary-bg-color': '#1a1f2e',\n '--tg-theme-text-color': '#e8edf5',\n '--tg-theme-hint-color': '#6b7a99',\n '--tg-theme-link-color': '#00A8FF',\n '--tg-theme-button-color': '#0088CC',\n '--tg-theme-button-text-color': '#ffffff',\n };\n Object.entries(defaults).forEach(([k, v]) =>\n document.documentElement.style.setProperty(k, v));\n document.documentElement.setAttribute('data-theme', 'dark');\n\n window.dispatchEvent(new CustomEvent('tg:ready', {\n detail: { user: { id: 'demo', first_name: 'Demo', last_name: 'User', username: 'demo' }, initData: '' }\n }));\n },\n\n haptic: {\n impact(s = 'light') { tg?.HapticFeedback?.impactOccurred(s); },\n select() { tg?.HapticFeedback?.selectionChanged(); },\n notify(t = 'success') { tg?.HapticFeedback?.notificationOccurred(t); },\n },\n\n alert(msg) { tg ? tg.showAlert(msg) : alert(msg); },\n confirm(msg, cb) { tg ? tg.showConfirm(msg, cb) : cb(confirm(msg)); },\n showBackButton(cb) { if (tg) { tg.BackButton.show(); if (cb) tg.BackButton.onClick(cb); } },\n hideBackButton() { if (tg) { tg.BackButton.hide(); tg.BackButton.offClick(() => {}); } },\n };\n\n /* ============================================================\n API Client – connects to Portfolio API\n ============================================================ */\n const API = {\n baseUrl: '/api',\n initData: '',\n\n async request(endpoint, options = {}) {\n const url = `${this.baseUrl}${endpoint}`;\n const headers = { 'Content-Type': 'application/json', ...options.headers };\n if (this.initData) headers['X-Telegram-Init-Data'] = this.initData;\n try {\n const res = await fetch(url, { ...options, headers });\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n return await res.json();\n } catch (err) {\n console.warn('[API] request failed, using demo data:', err.message);\n return null;\n }\n },\n\n get(path) { return this.request(path); },\n };\n\n /* ============================================================\n Demo Data Generator\n Mirrors the PHP PortfolioAnalytics demo data\n ============================================================ */\n const DemoData = {\n portfolio() {\n return {\n agent_id: 'agent_001',\n portfolio_value: 15450.50,\n total_cost: 13000.00,\n profit: 2450.50,\n roi: 18.85,\n unrealized_pnl: 950.50,\n realized_pnl: 1500.00,\n day_change: 234.75,\n day_change_percent: 1.54,\n total_fees: 42.30,\n strategy_count: 3,\n open_position_count: 4,\n capital_utilization: 87.5,\n last_updated: new Date().toISOString(),\n };\n },\n\n portfolioValue() {\n return {\n portfolio_value: 15450.50,\n quote_currency: 'USD',\n assets: [\n { asset: 'BTC', balance: 0.10, price: 65000, value: 6500.00 },\n { asset: 'ETH', balance: 2.00, price: 3500, value: 7000.00 },\n { asset: 'TON', balance: 500.0, price: 5.25, value: 2625.00 },\n { asset: 'USD', balance: 725.5, price: 1.0, value: 725.50 },\n ],\n timestamp: new Date().toISOString(),\n };\n },\n\n agents() {\n return [\n {\n id: 'agent_001',\n name: 'Alpha Bot',\n strategy: 'DCA Strategy',\n status: 'active',\n value: 8200.00,\n profit: 1350.00,\n roi: 19.7,\n win_rate: 68.5,\n total_trades: 42,\n },\n {\n id: 'agent_002',\n name: 'Yield Hunter',\n strategy: 'Yield Optimizer',\n status: 'active',\n value: 4750.50,\n profit: 875.00,\n roi: 22.6,\n win_rate: 74.2,\n total_trades: 28,\n },\n {\n id: 'agent_003',\n name: 'Arbitrage X',\n strategy: 'DEX Arbitrage',\n status: 'paused',\n value: 2500.00,\n profit: 225.50,\n roi: 9.9,\n win_rate: 61.0,\n total_trades: 17,\n },\n ];\n 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5.8,\n sharpe_ratio: 1.82,\n reputation_score: 8.7,\n active_users: 342,\n min_capital: 10,\n published_at: '2026-02-15T10:30:00Z',\n },\n {\n id: 'strategy_002',\n name: 'Mean Reversion Pro',\n description: 'Exploits price mean reversion patterns with statistical analysis and Bollinger Bands.',\n author: 'QuantLab',\n author_id: 'creator_002',\n category: 'mean_reversion',\n risk_level: 'low',\n supported_assets: ['BTC', 'ETH'],\n version: '2.1.0',\n verified: true,\n roi_30d: 5.4,\n win_rate: 72.1,\n total_trades: 89,\n max_drawdown: 3.2,\n sharpe_ratio: 2.14,\n reputation_score: 9.1,\n active_users: 518,\n min_capital: 50,\n published_at: '2026-01-20T08:15:00Z',\n },\n {\n id: 'strategy_003',\n name: 'DEX Arbitrage Hunter',\n description: 'Identifies and executes arbitrage opportunities across TON DEX protocols.',\n author: 'ArbitrageKing',\n author_id: 'creator_003',\n category: 'arbitrage',\n risk_level: 'high',\n supported_assets: ['TON', 'USDT'],\n version: '1.2.0',\n verified: 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| [2026-03-11T21:43:03.107Z] [INFO] } ReadableStream { locked: false, state: 'readable', supportsBYOB: true } | |
| [2026-03-11T21:43:03.107Z] [INFO] [log_626591] response parsed { | |
| [2026-03-11T21:43:03.108Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:43:03.108Z] [INFO] status: 200, | |
| [2026-03-11T21:43:03.108Z] [INFO] body: qG { | |
| [2026-03-11T21:43:03.109Z] [INFO] iterator: [AsyncGeneratorFunction: _], | |
| [2026-03-11T21:43:03.109Z] [INFO] controller: AbortController { signal: AbortSignal { aborted: false } } | |
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| { | |
| "type": "text", | |
| "text": "Now let me check the miniapp HTML structure and the src/index.ts to understand the existing exports." | |
| } | |
| ], | |
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| "ephemeral_1h_input_tokens": 20188 | |
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| "service_tier": "standard", | |
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| "type": "assistant", | |
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| "model": "claude-opus-4-5-20251101", | |
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| "type": "message", | |
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| { | |
| "type": "tool_use", | |
| "id": "toolu_01R5ySSgxQ6LebCtnfjb8NB1", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1773265304517/miniapp/index.html" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
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| "cache_creation_input_tokens": 20188, | |
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| }, | |
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| "context_management": null | |
| }, | |
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| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "f472dde2-1aa5-47a1-bb1f-28adc4c7c991" | |
| } | |
| [2026-03-11T21:43:05.267Z] [INFO] [log_28de54] sending request { | |
| [2026-03-11T21:43:05.269Z] [INFO] method: 'post', | |
| [2026-03-11T21:43:05.270Z] [INFO] url: 'https://api.anthropic.com/v1/messages/count_tokens?beta=true', | |
| [2026-03-11T21:43:05.270Z] [INFO] options: { | |
| [2026-03-11T21:43:05.270Z] [INFO] method: 'post', | |
| [2026-03-11T21:43:05.271Z] [INFO] path: '/v1/messages/count_tokens?beta=true', | |
| [2026-03-11T21:43:05.271Z] [INFO] body: { model: 'claude-opus-4-5-20251101', messages: [Array], tools: [] } | |
| [2026-03-11T21:43:05.271Z] [INFO] }, | |
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| [2026-03-11T21:43:05.272Z] [INFO] 'anthropic-dangerous-direct-browser-access': 'true', | |
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| [2026-03-11T21:43:05.273Z] [INFO] 'x-app': 'cli', | |
| [2026-03-11T21:43:05.273Z] [INFO] 'x-stainless-arch': 'x64', | |
| [2026-03-11T21:43:05.273Z] [INFO] 'x-stainless-lang': 'js', | |
| [2026-03-11T21:43:05.274Z] [INFO] 'x-stainless-os': 'Linux', | |
| [2026-03-11T21:43:05.274Z] [INFO] 'x-stainless-package-version': '0.74.0', | |
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| [2026-03-11T21:43:05.489Z] [INFO] [log_28de54, request-id: "req_011CYx2EhuPuhKL78aMLPaGP"] post https://api.anthropic.com/v1/messages/count_tokens?beta=true succeeded with status 200 in 221ms | |
| [2026-03-11T21:43:05.490Z] [INFO] [log_28de54] response start { | |
| [2026-03-11T21:43:05.490Z] [INFO] url: 'https://api.anthropic.com/v1/messages/count_tokens?beta=true', | |
| [2026-03-11T21:43:05.491Z] [INFO] status: 200, | |
| [2026-03-11T21:43:05.491Z] [INFO] headers: { | |
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| [2026-03-11T21:43:05.494Z] [INFO] date: 'Wed, 11 Mar 2026 21:43:05 GMT', | |
| [2026-03-11T21:43:05.494Z] [INFO] 'request-id': 'req_011CYx2EhuPuhKL78aMLPaGP', | |
| [2026-03-11T21:43:05.494Z] [INFO] server: 'cloudflare', | |
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| [2026-03-11T21:43:05.494Z] [INFO] 'x-envoy-upstream-service-time': '89', | |
| [2026-03-11T21:43:05.495Z] [INFO] 'x-robots-tag': 'none' | |
| [2026-03-11T21:43:05.495Z] [INFO] }, | |
| [2026-03-11T21:43:05.495Z] [INFO] durationMs: 221 | |
| [2026-03-11T21:43:05.495Z] [INFO] } | |
| [2026-03-11T21:43:05.495Z] [INFO] [log_28de54] response parsed { | |
| [2026-03-11T21:43:05.495Z] [INFO] url: 'https://api.anthropic.com/v1/messages/count_tokens?beta=true', | |
| [2026-03-11T21:43:05.495Z] [INFO] status: 200, | |
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| [2026-03-11T21:43:05.710Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
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| "content": [ | |
| { | |
| "tool_use_id": "toolu_01R5ySSgxQ6LebCtnfjb8NB1", | |
| "type": "tool_result", | |
| "content": " 1→<!DOCTYPE html>\n 2→<html lang=\"en\">\n 3→<head>\n 4→ <meta charset=\"UTF-8\">\n 5→ <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no\">\n 6→ <meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\">\n 7→\n 8→ <title>TON AI Agent - Dashboard</title>\n 9→ <meta name=\"description\" content=\"Portfolio dashboard for AI agent trading on TON blockchain\">\n 10→\n 11→ <!-- Telegram Web App Script -->\n 12→ <script src=\"https://telegram.org/js/telegram-web-app.js\"></script>\n 13→\n 14→ <!-- Stylesheets -->\n 15→ <link rel=\"stylesheet\" href=\"styles.css\">\n 16→</head>\n 17→<body>\n 18→ <div id=\"app\">\n 19→\n 20→ <!-- Loading Screen -->\n 21→ <div id=\"loading\" class=\"loading-screen\">\n 22→ <div class=\"loader\"></div>\n 23→ <p class=\"loading-text\">Loading Dashboard...</p>\n 24→ </div>\n 25→\n 26→ <!-- Main App -->\n 27→ <main id=\"main-content\" class=\"hidden\">\n 28→\n 29→ <!-- Bottom Navigation -->\n 30→ <nav class=\"bottom-nav\" id=\"bottom-nav\">\n 31→ <button class=\"nav-item active\" data-page=\"portfolio\">\n 32→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 33→ <rect x=\"2\" y=\"3\" width=\"20\" height=\"14\" rx=\"2\" ry=\"2\"></rect>\n 34→ <line x1=\"8\" y1=\"21\" x2=\"16\" y2=\"21\"></line>\n 35→ <line x1=\"12\" y1=\"17\" x2=\"12\" y2=\"21\"></line>\n 36→ </svg>\n 37→ <span>Portfolio</span>\n 38→ </button>\n 39→ <button class=\"nav-item\" data-page=\"agents\">\n 40→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 41→ <circle cx=\"12\" cy=\"8\" r=\"5\"></circle>\n 42→ <path d=\"M3 21v-2a7 7 0 0 1 14 0v2\"></path>\n 43→ <path d=\"M16 11a5 5 0 0 1 6 5v2\"></path>\n 44→ </svg>\n 45→ <span>Agents</span>\n 46→ </button>\n 47→ <button class=\"nav-item\" data-page=\"strategies\">\n 48→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 49→ <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n 50→ </svg>\n 51→ <span>Strategies</span>\n 52→ </button>\n 53→ <button class=\"nav-item\" data-page=\"trades\">\n 54→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 55→ <line x1=\"12\" y1=\"1\" x2=\"12\" y2=\"23\"></line>\n 56→ <path d=\"M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6\"></path>\n 57→ </svg>\n 58→ <span>Trades</span>\n 59→ </button>\n 60→ <button class=\"nav-item\" data-page=\"marketplace\">\n 61→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 62→ <path d=\"M3 9l9-7 9 7v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z\"></path>\n 63→ <polyline points=\"9 22 9 12 15 12 15 22\"></polyline>\n 64→ </svg>\n 65→ <span>Market</span>\n 66→ </button>\n 67→ <button class=\"nav-item\" data-page=\"growth\">\n 68→ <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 69→ <path d=\"M16 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2\"></path>\n 70→ <circle cx=\"8.5\" cy=\"7\" r=\"4\"></circle>\n 71→ <line x1=\"20\" y1=\"8\" x2=\"20\" y2=\"14\"></line>\n 72→ <line x1=\"23\" y1=\"11\" x2=\"17\" y2=\"11\"></line>\n 73→ </svg>\n 74→ <span>Growth</span>\n 75→ </button>\n 76→ </nav>\n 77→\n 78→ <!-- ============================== -->\n 79→ <!-- PAGE: Portfolio Overview -->\n 80→ <!-- ============================== -->\n 81→ <section id=\"page-portfolio\" class=\"page active\">\n 82→ <header class=\"page-header\">\n 83→ <div class=\"header-user\">\n 84→ <div class=\"user-avatar\" id=\"user-avatar\">\n 85→ <span id=\"avatar-initials\">?</span>\n 86→ </div>\n 87→ <div>\n 88→ <div class=\"user-name\" id=\"user-name\">Welcome</div>\n 89→ <div class=\"user-sub\">TON AI Agent</div>\n 90→ </div>\n 91→ </div>\n 92→ <button class=\"icon-btn\" id=\"refresh-btn\" aria-label=\"Refresh\">\n 93→ <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 94→ <polyline points=\"23 4 23 10 17 10\"></polyline>\n 95→ <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n 96→ </svg>\n 97→ </button>\n 98→ </header>\n 99→\n 100→ <!-- Portfolio Value Card -->\n 101→ <div class=\"portfolio-hero\">\n 102→ <div class=\"portfolio-label\">Total Portfolio Value</div>\n 103→ <div class=\"portfolio-value\">\n 104→ <span class=\"currency\">$</span><span id=\"portfolio-total\">0.00</span>\n 105→ </div>\n 106→ <div class=\"portfolio-meta\">\n 107→ <span class=\"pnl-badge\" id=\"portfolio-pnl-badge\">+$0.00</span>\n 108→ <span class=\"roi-badge\" id=\"portfolio-roi-badge\">+0.00% ROI</span>\n 109→ </div>\n 110→ <div class=\"portfolio-day-change\" id=\"portfolio-day-change\">\n 111→ Today: <span id=\"day-change-val\">+$0.00</span> (<span id=\"day-change-pct\">+0.00%</span>)\n 112→ </div>\n 113→ </div>\n 114→\n 115→ <!-- Key Stats Row -->\n 116→ <div class=\"stats-row\">\n 117→ <div class=\"stat-card\">\n 118→ <div class=\"stat-label\">Active Agents</div>\n 119→ <div class=\"stat-value\" id=\"stat-active-agents\">0</div>\n 120→ </div>\n 121→ <div class=\"stat-card\">\n 122→ <div class=\"stat-label\">Open Positions</div>\n 123→ <div class=\"stat-value\" id=\"stat-open-positions\">0</div>\n 124→ </div>\n 125→ <div class=\"stat-card\">\n 126→ <div class=\"stat-label\">Strategies</div>\n 127→ <div class=\"stat-value\" id=\"stat-strategies\">0</div>\n 128→ </div>\n 129→ <div class=\"stat-card\">\n 130→ <div class=\"stat-label\">Capital Used</div>\n 131→ <div class=\"stat-value\" id=\"stat-capital\">0%</div>\n 132→ </div>\n 133→ </div>\n 134→\n 135→ <!-- Asset Allocation -->\n 136→ <div class=\"section-card\">\n 137→ <div class=\"section-title\">Asset Allocation</div>\n 138→ <div id=\"asset-allocation-list\" class=\"allocation-list\">\n 139→ <div class=\"empty-hint\">No assets yet</div>\n 140→ </div>\n 141→ </div>\n 142→\n 143→ <!-- PnL Summary -->\n 144→ <div class=\"section-card\">\n 145→ <div class=\"section-title\">P&L Summary</div>\n 146→ <div class=\"pnl-grid\">\n 147→ <div class=\"pnl-item\">\n 148→ <div class=\"pnl-item-label\">Realized P&L</div>\n 149→ <div class=\"pnl-item-value\" id=\"realized-pnl\">$0.00</div>\n 150→ </div>\n 151→ <div class=\"pnl-item\">\n 152→ <div class=\"pnl-item-label\">Unrealized P&L</div>\n 153→ <div class=\"pnl-item-value\" id=\"unrealized-pnl\">$0.00</div>\n 154→ </div>\n 155→ <div class=\"pnl-item\">\n 156→ <div class=\"pnl-item-label\">Total P&L</div>\n 157→ <div class=\"pnl-item-value highlight\" id=\"total-pnl\">$0.00</div>\n 158→ </div>\n 159→ <div class=\"pnl-item\">\n 160→ <div class=\"pnl-item-label\">Total Fees</div>\n 161→ <div class=\"pnl-item-value\" id=\"total-fees\">$0.00</div>\n 162→ </div>\n 163→ </div>\n 164→ </div>\n 165→ </section>\n 166→\n 167→ <!-- ============================== -->\n 168→ <!-- PAGE: Active Agents -->\n 169→ <!-- ============================== -->\n 170→ <section id=\"page-agents\" class=\"page hidden\">\n 171→ <header class=\"page-header\">\n 172→ <div class=\"page-title\">Active Agents</div>\n 173→ <span class=\"count-badge\" id=\"agents-count-badge\">0</span>\n 174→ </header>\n 175→\n 176→ <!-- Agent List -->\n 177→ <div id=\"agents-list-container\">\n 178→ <div id=\"agents-empty\" class=\"empty-state\">\n 179→ <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n 180→ <circle cx=\"12\" cy=\"8\" r=\"5\"></circle>\n 181→ <path d=\"M3 21v-2a7 7 0 0 1 14 0v2\"></path>\n 182→ </svg>\n 183→ <div class=\"empty-title\">No agents yet</div>\n 184→ <div class=\"empty-sub\">Deploy an agent from the Telegram bot to see it here</div>\n 185→ </div>\n 186→ <div id=\"agents-list\" class=\"agents-list hidden\"></div>\n 187→ </div>\n 188→ </section>\n 189→\n 190→ <!-- ============================== -->\n 191→ <!-- PAGE: Strategy Performance -->\n 192→ <!-- ============================== -->\n 193→ <section id=\"page-strategies\" class=\"page hidden\">\n 194→ <header class=\"page-header\">\n 195→ <div class=\"page-title\">Strategy Performance</div>\n 196→ <div class=\"period-tabs\" id=\"strategy-period-tabs\">\n 197→ <button class=\"period-btn active\" data-period=\"30d\">30d</button>\n 198→ <button class=\"period-btn\" data-period=\"90d\">90d</button>\n 199→ <button class=\"period-btn\" data-period=\"all_time\">All</button>\n 200→ </div>\n 201→ </header>\n 202→\n 203→ <!-- Summary Stats -->\n 204→ <div class=\"stats-row\">\n 205→ <div class=\"stat-card\">\n 206→ <div class=\"stat-label\">Best ROI</div>\n 207→ <div class=\"stat-value positive\" id=\"best-roi\">0%</div>\n 208→ </div>\n 209→ <div class=\"stat-card\">\n 210→ <div class=\"stat-label\">Avg Win Rate</div>\n 211→ <div class=\"stat-value\" id=\"avg-win-rate\">0%</div>\n 212→ </div>\n 213→ <div class=\"stat-card\">\n 214→ <div class=\"stat-label\">Total Trades</div>\n 215→ <div class=\"stat-value\" id=\"total-trades-stat\">0</div>\n 216→ </div>\n 217→ <div class=\"stat-card\">\n 218→ <div class=\"stat-label\">Max Drawdown</div>\n 219→ <div class=\"stat-value negative\" id=\"max-drawdown-stat\">0%</div>\n 220→ </div>\n 221→ </div>\n 222→\n 223→ <!-- Strategy Cards -->\n 224→ <div id=\"strategies-empty\" class=\"empty-state hidden\">\n 225→ <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n 226→ <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n 227→ </svg>\n 228→ <div class=\"empty-title\">No strategies active</div>\n 229→ <div class=\"empty-sub\">Start an agent with a strategy to see performance here</div>\n 230→ </div>\n 231→ <div id=\"strategies-list\" class=\"strategies-list\"></div>\n 232→ </section>\n 233→\n 234→ <!-- ============================== -->\n 235→ <!-- PAGE: Trade History -->\n 236→ <!-- ============================== -->\n 237→ <section id=\"page-trades\" class=\"page hidden\">\n 238→ <header class=\"page-header\">\n 239→ <div class=\"page-title\">Trade History</div>\n 240→ </header>\n 241→\n 242→ <!-- Filters -->\n 243→ <div class=\"trade-filters\">\n 244→ <select class=\"filter-select\" id=\"trade-action-filter\">\n 245→ <option value=\"all\">All Actions</option>\n 246→ <option value=\"BUY\">BUY</option>\n 247→ <option value=\"SELL\">SELL</option>\n 248→ </select>\n 249→ <select class=\"filter-select\" id=\"trade-asset-filter\">\n 250→ <option value=\"all\">All Assets</option>\n 251→ <option value=\"BTC\">BTC</option>\n 252→ <option value=\"ETH\">ETH</option>\n 253→ <option value=\"TON\">TON</option>\n 254→ <option value=\"SOL\">SOL</option>\n 255→ </select>\n 256→ <select class=\"filter-select\" id=\"trade-sort\">\n 257→ <option value=\"desc\">Newest First</option>\n 258→ <option value=\"asc\">Oldest First</option>\n 259→ </select>\n 260→ </div>\n 261→\n 262→ <!-- Trade Summary -->\n 263→ <div class=\"trade-summary-bar\" id=\"trade-summary-bar\">\n 264→ <span id=\"trade-count-label\">0 trades</span>\n 265→ <span class=\"trade-summary-pnl\" id=\"trade-summary-pnl\">P&L: $0.00</span>\n 266→ </div>\n 267→\n 268→ <!-- Trade List -->\n 269→ <div id=\"trades-empty\" class=\"empty-state\">\n 270→ <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n 271→ <line x1=\"12\" y1=\"1\" x2=\"12\" y2=\"23\"></line>\n 272→ <path d=\"M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6\"></path>\n 273→ </svg>\n 274→ <div class=\"empty-title\">No trades yet</div>\n 275→ <div class=\"empty-sub\">Trade history will appear here once agents execute trades</div>\n 276→ </div>\n 277→ <div id=\"trades-list\" class=\"trades-list hidden\"></div>\n 278→\n 279→ <!-- Pagination -->\n 280→ <div class=\"pagination hidden\" id=\"pagination\">\n 281→ <button class=\"page-btn\" id=\"prev-page\" disabled>\n 282→ <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 283→ <polyline points=\"15 18 9 12 15 6\"></polyline>\n 284→ </svg>\n 285→ Prev\n 286→ </button>\n 287→ <span class=\"page-info\" id=\"page-info\">1 / 1</span>\n 288→ <button class=\"page-btn\" id=\"next-page\" disabled>\n 289→ Next\n 290→ <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 291→ <polyline points=\"9 18 15 12 9 6\"></polyline>\n 292→ </svg>\n 293→ </button>\n 294→ </div>\n 295→ </section>\n 296→\n 297→ <!-- ============================== -->\n 298→ <!-- PAGE: Strategy Marketplace -->\n 299→ <!-- ============================== -->\n 300→ <section id=\"page-marketplace\" class=\"page hidden\">\n 301→ <header class=\"page-header\">\n 302→ <div class=\"page-title\">Strategy Marketplace</div>\n 303→ <button class=\"icon-btn\" id=\"marketplace-filter-btn\" aria-label=\"Filter\">\n 304→ <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 305→ <polygon points=\"22 3 2 3 10 12.46 10 19 14 21 14 12.46 22 3\"></polygon>\n 306→ </svg>\n 307→ </button>\n 308→ </header>\n 309→\n 310→ <!-- Search Bar -->\n 311→ <div class=\"marketplace-search\">\n 312→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 313→ <circle cx=\"11\" cy=\"11\" r=\"8\"></circle>\n 314→ <line x1=\"21\" y1=\"21\" x2=\"16.65\" y2=\"16.65\"></line>\n 315→ </svg>\n 316→ <input type=\"text\" id=\"marketplace-search-input\" placeholder=\"Search strategies...\" />\n 317→ </div>\n 318→\n 319→ <!-- Category Tabs -->\n 320→ <div class=\"marketplace-categories\" id=\"marketplace-categories\">\n 321→ <button class=\"category-btn active\" data-category=\"all\">All</button>\n 322→ <button class=\"category-btn\" data-category=\"momentum\">Momentum</button>\n 323→ <button class=\"category-btn\" data-category=\"mean_reversion\">Mean Reversion</button>\n 324→ <button class=\"category-btn\" data-category=\"arbitrage\">Arbitrage</button>\n 325→ <button class=\"category-btn\" data-category=\"grid_trading\">Grid</button>\n 326→ <button class=\"category-btn\" data-category=\"yield_farming\">Yield</button>\n 327→ </div>\n 328→\n 329→ <!-- Filter Panel (hidden by default) -->\n 330→ <div id=\"marketplace-filter-panel\" class=\"filter-panel hidden\">\n 331→ <div class=\"filter-section\">\n 332→ <div class=\"filter-label\">Risk Level</div>\n 333→ <div class=\"filter-chips\" id=\"risk-filter-chips\">\n 334→ <button class=\"chip active\" data-risk=\"all\">All</button>\n 335→ <button class=\"chip\" data-risk=\"low\">Low</button>\n 336→ <button class=\"chip\" data-risk=\"medium\">Medium</button>\n 337→ <button class=\"chip\" data-risk=\"high\">High</button>\n 338→ </div>\n 339→ </div>\n 340→ <div class=\"filter-section\">\n 341→ <div class=\"filter-label\">Sort By</div>\n 342→ <select class=\"filter-select\" id=\"marketplace-sort\">\n 343→ <option value=\"roi\">Highest ROI</option>\n 344→ <option value=\"sharpe\">Best Risk-Adjusted</option>\n 345→ <option value=\"popularity\">Most Popular</option>\n 346→ <option value=\"newest\">Newest</option>\n 347→ </select>\n 348→ </div>\n 349→ </div>\n 350→\n 351→ <!-- Summary Stats -->\n 352→ <div class=\"stats-row marketplace-stats\">\n 353→ <div class=\"stat-card\">\n 354→ <div class=\"stat-label\">Total Strategies</div>\n 355→ <div class=\"stat-value\" id=\"mp-total-strategies\">0</div>\n 356→ </div>\n 357→ <div class=\"stat-card\">\n 358→ <div class=\"stat-label\">Top ROI (30d)</div>\n 359→ <div class=\"stat-value positive\" id=\"mp-top-roi\">0%</div>\n 360→ </div>\n 361→ <div class=\"stat-card\">\n 362→ <div class=\"stat-label\">Active Users</div>\n 363→ <div class=\"stat-value\" id=\"mp-active-users\">0</div>\n 364→ </div>\n 365→ </div>\n 366→\n 367→ <!-- Strategy List -->\n 368→ <div id=\"marketplace-empty\" class=\"empty-state hidden\">\n 369→ <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n 370→ <path d=\"M3 9l9-7 9 7v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z\"></path>\n 371→ <polyline points=\"9 22 9 12 15 12 15 22\"></polyline>\n 372→ </svg>\n 373→ <div class=\"empty-title\">No strategies found</div>\n 374→ <div class=\"empty-sub\">Try adjusting your filters or search query</div>\n 375→ </div>\n 376→ <div id=\"marketplace-list\" class=\"marketplace-list\"></div>\n 377→ </section>\n 378→\n 379→ <!-- ============================== -->\n 380→ <!-- PAGE: Growth Dashboard -->\n 381→ <!-- ============================== -->\n 382→ <section id=\"page-growth\" class=\"page hidden\">\n 383→ <header class=\"page-header\">\n 384→ <div class=\"page-title\">Growth</div>\n 385→ </header>\n 386→\n 387→ <!-- Growth Content Container -->\n 388→ <div id=\"growth-content\">\n 389→ <!-- Content loaded dynamically by growth.js -->\n 390→ <div class=\"loading-hint\">Loading growth dashboard...</div>\n 391→ </div>\n 392→ </section>\n 393→\n 394→ <!-- ============================== -->\n 395→ <!-- Agent Detail Modal -->\n 396→ <!-- ============================== -->\n 397→ <div id=\"agent-modal\" class=\"modal hidden\">\n 398→ <div class=\"modal-overlay\" id=\"modal-overlay\"></div>\n 399→ <div class=\"modal-sheet\">\n 400→ <div class=\"modal-handle\"></div>\n 401→ <div class=\"modal-header\">\n 402→ <h2 class=\"modal-title\" id=\"modal-agent-name\">Agent</h2>\n 403→ <span class=\"agent-status-badge\" id=\"modal-agent-status\">active</span>\n 404→ </div>\n 405→\n 406→ <!-- Agent Stats -->\n 407→ <div class=\"modal-stats-grid\">\n 408→ <div class=\"modal-stat\">\n 409→ <div class=\"modal-stat-label\">Strategy</div>\n 410→ <div class=\"modal-stat-value\" id=\"modal-agent-strategy\">—</div>\n 411→ </div>\n 412→ <div class=\"modal-stat\">\n 413→ <div class=\"modal-stat-label\">Portfolio Value</div>\n 414→ <div class=\"modal-stat-value\" id=\"modal-agent-value\">$0.00</div>\n 415→ </div>\n 416→ <div class=\"modal-stat\">\n 417→ <div class=\"modal-stat-label\">Total P&L</div>\n 418→ <div class=\"modal-stat-value\" id=\"modal-agent-pnl\">$0.00</div>\n 419→ </div>\n 420→ <div class=\"modal-stat\">\n 421→ <div class=\"modal-stat-label\">ROI</div>\n 422→ <div class=\"modal-stat-value\" id=\"modal-agent-roi\">0%</div>\n 423→ </div>\n 424→ <div class=\"modal-stat\">\n 425→ <div class=\"modal-stat-label\">Win Rate</div>\n 426→ <div class=\"modal-stat-value\" id=\"modal-agent-winrate\">0%</div>\n 427→ </div>\n 428→ <div class=\"modal-stat\">\n 429→ <div class=\"modal-stat-label\">Total Trades</div>\n 430→ <div class=\"modal-stat-value\" id=\"modal-agent-trades\">0</div>\n 431→ </div>\n 432→ </div>\n 433→\n 434→ <!-- Agent Controls -->\n 435→ <div class=\"modal-section-title\">Agent Controls</div>\n 436→ <div class=\"agent-controls\">\n 437→ <button class=\"control-btn start-btn\" id=\"ctrl-start\">\n 438→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"currentColor\">\n 439→ <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n 440→ </svg>\n 441→ Start\n 442→ </button>\n 443→ <button class=\"control-btn stop-btn\" id=\"ctrl-stop\">\n 444→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"currentColor\">\n 445→ <rect x=\"6\" y=\"4\" width=\"4\" height=\"16\"></rect>\n 446→ <rect x=\"14\" y=\"4\" width=\"4\" height=\"16\"></rect>\n 447→ </svg>\n 448→ Pause\n 449→ </button>\n 450→ <button class=\"control-btn restart-btn\" id=\"ctrl-restart\">\n 451→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 452→ <polyline points=\"23 4 23 10 17 10\"></polyline>\n 453→ <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n 454→ </svg>\n 455→ Restart\n 456→ </button>\n 457→ </div>\n 458→\n 459→ <!-- Danger Zone -->\n 460→ <div class=\"modal-section-title danger-title\">Danger Zone</div>\n 461→ <button class=\"control-btn danger-btn full-width\" id=\"ctrl-stop-fully\">\n 462→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 463→ <rect x=\"3\" y=\"3\" width=\"18\" height=\"18\" rx=\"2\" ry=\"2\"></rect>\n 464→ </svg>\n 465→ Stop Agent Permanently\n 466→ </button>\n 467→\n 468→ <button class=\"close-modal-btn\" id=\"close-agent-modal\">Close</button>\n 469→ </div>\n 470→ </div>\n 471→\n 472→ <!-- ============================== -->\n 473→ <!-- Strategy Detail Modal -->\n 474→ <!-- ============================== -->\n 475→ <div id=\"strategy-modal\" class=\"modal hidden\">\n 476→ <div class=\"modal-overlay\" id=\"strategy-modal-overlay\"></div>\n 477→ <div class=\"modal-sheet strategy-modal-sheet\">\n 478→ <div class=\"modal-handle\"></div>\n 479→ <div class=\"modal-header\">\n 480→ <h2 class=\"modal-title\" id=\"modal-strategy-name\">Strategy</h2>\n 481→ <span class=\"strategy-badge\" id=\"modal-strategy-badge\">Verified</span>\n 482→ </div>\n 483→\n 484→ <!-- Strategy Author -->\n 485→ <div class=\"strategy-author\" id=\"modal-strategy-author\">\n 486→ <div class=\"author-avatar\">\n 487→ <span id=\"modal-author-initials\">?</span>\n 488→ </div>\n 489→ <div class=\"author-info\">\n 490→ <div class=\"author-name\" id=\"modal-author-name\">Creator</div>\n 491→ <div class=\"author-meta\" id=\"modal-author-meta\">Strategy version 1.0.0</div>\n 492→ </div>\n 493→ </div>\n 494→\n 495→ <!-- Strategy Description -->\n 496→ <div class=\"strategy-description\" id=\"modal-strategy-description\">\n 497→ Strategy description will appear here.\n 498→ </div>\n 499→\n 500→ <!-- Performance Metrics -->\n 501→ <div class=\"modal-section-title\">Performance Metrics</div>\n 502→ <div class=\"modal-stats-grid\">\n 503→ <div class=\"modal-stat\">\n 504→ <div class=\"modal-stat-label\">ROI (30d)</div>\n 505→ <div class=\"modal-stat-value positive\" id=\"modal-strategy-roi\">+0%</div>\n 506→ </div>\n 507→ <div class=\"modal-stat\">\n 508→ <div class=\"modal-stat-label\">Win Rate</div>\n 509→ <div class=\"modal-stat-value\" id=\"modal-strategy-winrate\">0%</div>\n 510→ </div>\n 511→ <div class=\"modal-stat\">\n 512→ <div class=\"modal-stat-label\">Total Trades</div>\n 513→ <div class=\"modal-stat-value\" id=\"modal-strategy-trades\">0</div>\n 514→ </div>\n 515→ <div class=\"modal-stat\">\n 516→ <div class=\"modal-stat-label\">Max Drawdown</div>\n 517→ <div class=\"modal-stat-value negative\" id=\"modal-strategy-drawdown\">0%</div>\n 518→ </div>\n 519→ <div class=\"modal-stat\">\n 520→ <div class=\"modal-stat-label\">Sharpe Ratio</div>\n 521→ <div class=\"modal-stat-value\" id=\"modal-strategy-sharpe\">0.00</div>\n 522→ </div>\n 523→ <div class=\"modal-stat\">\n 524→ <div class=\"modal-stat-label\">Reputation</div>\n 525→ <div class=\"modal-stat-value\" id=\"modal-strategy-reputation\">0/10</div>\n 526→ </div>\n 527→ </div>\n 528→\n 529→ <!-- Risk Info -->\n 530→ <div class=\"modal-section-title\">Risk Profile</div>\n 531→ <div class=\"risk-info-grid\">\n 532→ <div class=\"risk-item\">\n 533→ <span class=\"risk-label\">Risk Level:</span>\n 534→ <span class=\"risk-value\" id=\"modal-risk-level\">Medium</span>\n 535→ </div>\n 536→ <div class=\"risk-item\">\n 537→ <span class=\"risk-label\">Supported Assets:</span>\n 538→ <span class=\"risk-value\" id=\"modal-supported-assets\">BTC, ETH, TON</span>\n 539→ </div>\n 540→ <div class=\"risk-item\">\n 541→ <span class=\"risk-label\">Min Capital:</span>\n 542→ <span class=\"risk-value\" id=\"modal-min-capital\">10 TON</span>\n 543→ </div>\n 544→ </div>\n 545→\n 546→ <!-- Deploy Button -->\n 547→ <button class=\"primary-btn full-width\" id=\"deploy-strategy-btn\">\n 548→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 549→ <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n 550→ </svg>\n 551→ Deploy Strategy\n 552→ </button>\n 553→\n 554→ <button class=\"close-modal-btn\" id=\"close-strategy-modal\">Close</button>\n 555→ </div>\n 556→ </div>\n 557→\n 558→ <!-- ============================== -->\n 559→ <!-- Deploy Strategy Modal -->\n 560→ <!-- ============================== -->\n 561→ <div id=\"deploy-modal\" class=\"modal hidden\">\n 562→ <div class=\"modal-overlay\" id=\"deploy-modal-overlay\"></div>\n 563→ <div class=\"modal-sheet\">\n 564→ <div class=\"modal-handle\"></div>\n 565→ <div class=\"modal-header\">\n 566→ <h2 class=\"modal-title\">Deploy Strategy</h2>\n 567→ </div>\n 568→\n 569→ <div class=\"deploy-strategy-info\" id=\"deploy-strategy-summary\">\n 570→ <!-- Populated by JS -->\n 571→ </div>\n 572→\n 573→ <!-- Capital Input -->\n 574→ <div class=\"form-group\">\n 575→ <label class=\"form-label\" for=\"deploy-capital\">Capital Allocation (TON)</label>\n 576→ <input type=\"number\" class=\"form-input\" id=\"deploy-capital\" placeholder=\"100\" min=\"10\" step=\"1\" />\n 577→ <div class=\"form-hint\">Minimum: <span id=\"deploy-min-capital\">10</span> TON</div>\n 578→ </div>\n 579→\n 580→ <!-- Simulation Mode Toggle -->\n 581→ <div class=\"form-group toggle-group\">\n 582→ <label class=\"toggle-label\" for=\"deploy-simulation\">\n 583→ <span>Simulation Mode</span>\n 584→ <span class=\"toggle-hint\">Test strategy without real trades</span>\n 585→ </label>\n 586→ <input type=\"checkbox\" id=\"deploy-simulation\" class=\"toggle-input\" checked />\n 587→ </div>\n 588→\n 589→ <!-- Deploy Actions -->\n 590→ <div class=\"deploy-actions\">\n 591→ <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n 592→ <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n 593→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 594→ <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n 595→ </svg>\n 596→ Deploy\n 597→ </button>\n 598→ </div>\n 599→ </div>\n 600→ </div>\n 601→\n 602→ </main>\n 603→ </div>\n 604→\n 605→ <!-- Scripts -->\n 606→ <script src=\"app.js\"></script>\n 607→ <script src=\"components/portfolio.js\"></script>\n 608→ <script src=\"components/agents.js\"></script>\n 609→ <script src=\"components/strategies.js\"></script>\n 610→ <script src=\"components/trades.js\"></script>\n 611→ <script src=\"components/onboarding.js\"></script>\n 612→ <script src=\"components/growth.js\"></script>\n 613→ <script src=\"components/marketplace.js\"></script>\n 614→</body>\n 615→</html>\n 616→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "df9ef249-1aff-4fe1-b503-b56c9766f04e", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/miniapp/index.html", | |
| "content": "<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n <meta charset=\"UTF-8\">\n <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no\">\n <meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\">\n\n <title>TON AI Agent - Dashboard</title>\n <meta name=\"description\" content=\"Portfolio dashboard for AI agent trading on TON blockchain\">\n\n <!-- Telegram Web App Script -->\n <script src=\"https://telegram.org/js/telegram-web-app.js\"></script>\n\n <!-- Stylesheets -->\n <link rel=\"stylesheet\" href=\"styles.css\">\n</head>\n<body>\n <div id=\"app\">\n\n <!-- Loading Screen -->\n <div id=\"loading\" class=\"loading-screen\">\n <div class=\"loader\"></div>\n <p class=\"loading-text\">Loading Dashboard...</p>\n </div>\n\n <!-- Main App -->\n <main id=\"main-content\" class=\"hidden\">\n\n <!-- Bottom Navigation -->\n <nav class=\"bottom-nav\" id=\"bottom-nav\">\n <button class=\"nav-item active\" data-page=\"portfolio\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <rect x=\"2\" y=\"3\" width=\"20\" height=\"14\" rx=\"2\" ry=\"2\"></rect>\n <line x1=\"8\" y1=\"21\" x2=\"16\" y2=\"21\"></line>\n <line x1=\"12\" y1=\"17\" x2=\"12\" y2=\"21\"></line>\n </svg>\n <span>Portfolio</span>\n </button>\n <button class=\"nav-item\" data-page=\"agents\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <circle cx=\"12\" cy=\"8\" r=\"5\"></circle>\n <path d=\"M3 21v-2a7 7 0 0 1 14 0v2\"></path>\n <path d=\"M16 11a5 5 0 0 1 6 5v2\"></path>\n </svg>\n <span>Agents</span>\n </button>\n <button class=\"nav-item\" data-page=\"strategies\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n </svg>\n <span>Strategies</span>\n </button>\n <button class=\"nav-item\" data-page=\"trades\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <line x1=\"12\" y1=\"1\" x2=\"12\" y2=\"23\"></line>\n <path d=\"M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6\"></path>\n </svg>\n <span>Trades</span>\n </button>\n <button class=\"nav-item\" data-page=\"marketplace\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <path d=\"M3 9l9-7 9 7v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z\"></path>\n <polyline points=\"9 22 9 12 15 12 15 22\"></polyline>\n </svg>\n <span>Market</span>\n </button>\n <button class=\"nav-item\" data-page=\"growth\">\n <svg width=\"22\" height=\"22\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <path d=\"M16 21v-2a4 4 0 0 0-4-4H5a4 4 0 0 0-4 4v2\"></path>\n <circle cx=\"8.5\" cy=\"7\" r=\"4\"></circle>\n <line x1=\"20\" y1=\"8\" x2=\"20\" y2=\"14\"></line>\n <line x1=\"23\" y1=\"11\" x2=\"17\" y2=\"11\"></line>\n </svg>\n <span>Growth</span>\n </button>\n </nav>\n\n <!-- ============================== -->\n <!-- PAGE: Portfolio Overview -->\n <!-- ============================== -->\n <section id=\"page-portfolio\" class=\"page active\">\n <header class=\"page-header\">\n <div class=\"header-user\">\n <div class=\"user-avatar\" id=\"user-avatar\">\n <span id=\"avatar-initials\">?</span>\n </div>\n <div>\n <div class=\"user-name\" id=\"user-name\">Welcome</div>\n <div class=\"user-sub\">TON AI Agent</div>\n </div>\n </div>\n <button class=\"icon-btn\" id=\"refresh-btn\" aria-label=\"Refresh\">\n <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"23 4 23 10 17 10\"></polyline>\n <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n </svg>\n </button>\n </header>\n\n <!-- Portfolio Value Card -->\n <div class=\"portfolio-hero\">\n <div class=\"portfolio-label\">Total Portfolio Value</div>\n <div class=\"portfolio-value\">\n <span class=\"currency\">$</span><span id=\"portfolio-total\">0.00</span>\n </div>\n <div class=\"portfolio-meta\">\n <span class=\"pnl-badge\" id=\"portfolio-pnl-badge\">+$0.00</span>\n <span class=\"roi-badge\" id=\"portfolio-roi-badge\">+0.00% ROI</span>\n </div>\n <div class=\"portfolio-day-change\" id=\"portfolio-day-change\">\n Today: <span id=\"day-change-val\">+$0.00</span> (<span id=\"day-change-pct\">+0.00%</span>)\n </div>\n </div>\n\n <!-- Key Stats Row -->\n <div class=\"stats-row\">\n <div class=\"stat-card\">\n <div class=\"stat-label\">Active Agents</div>\n <div class=\"stat-value\" id=\"stat-active-agents\">0</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Open Positions</div>\n <div class=\"stat-value\" id=\"stat-open-positions\">0</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Strategies</div>\n <div class=\"stat-value\" id=\"stat-strategies\">0</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Capital Used</div>\n <div class=\"stat-value\" id=\"stat-capital\">0%</div>\n </div>\n </div>\n\n <!-- Asset Allocation -->\n <div class=\"section-card\">\n <div class=\"section-title\">Asset Allocation</div>\n <div id=\"asset-allocation-list\" class=\"allocation-list\">\n <div class=\"empty-hint\">No assets yet</div>\n </div>\n </div>\n\n <!-- PnL Summary -->\n <div class=\"section-card\">\n <div class=\"section-title\">P&L Summary</div>\n <div class=\"pnl-grid\">\n <div class=\"pnl-item\">\n <div class=\"pnl-item-label\">Realized P&L</div>\n <div class=\"pnl-item-value\" id=\"realized-pnl\">$0.00</div>\n </div>\n <div class=\"pnl-item\">\n <div class=\"pnl-item-label\">Unrealized P&L</div>\n <div class=\"pnl-item-value\" id=\"unrealized-pnl\">$0.00</div>\n </div>\n <div class=\"pnl-item\">\n <div class=\"pnl-item-label\">Total P&L</div>\n <div class=\"pnl-item-value highlight\" id=\"total-pnl\">$0.00</div>\n </div>\n <div class=\"pnl-item\">\n <div class=\"pnl-item-label\">Total Fees</div>\n <div class=\"pnl-item-value\" id=\"total-fees\">$0.00</div>\n </div>\n </div>\n </div>\n </section>\n\n <!-- ============================== -->\n <!-- PAGE: Active Agents -->\n <!-- ============================== -->\n <section id=\"page-agents\" class=\"page hidden\">\n <header class=\"page-header\">\n <div class=\"page-title\">Active Agents</div>\n <span class=\"count-badge\" id=\"agents-count-badge\">0</span>\n </header>\n\n <!-- Agent List -->\n <div id=\"agents-list-container\">\n <div id=\"agents-empty\" class=\"empty-state\">\n <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n <circle cx=\"12\" cy=\"8\" r=\"5\"></circle>\n <path d=\"M3 21v-2a7 7 0 0 1 14 0v2\"></path>\n </svg>\n <div class=\"empty-title\">No agents yet</div>\n <div class=\"empty-sub\">Deploy an agent from the Telegram bot to see it here</div>\n </div>\n <div id=\"agents-list\" class=\"agents-list hidden\"></div>\n </div>\n </section>\n\n <!-- ============================== -->\n <!-- PAGE: Strategy Performance -->\n <!-- ============================== -->\n <section id=\"page-strategies\" class=\"page hidden\">\n <header class=\"page-header\">\n <div class=\"page-title\">Strategy Performance</div>\n <div class=\"period-tabs\" id=\"strategy-period-tabs\">\n <button class=\"period-btn active\" data-period=\"30d\">30d</button>\n <button class=\"period-btn\" data-period=\"90d\">90d</button>\n <button class=\"period-btn\" data-period=\"all_time\">All</button>\n </div>\n </header>\n\n <!-- Summary Stats -->\n <div class=\"stats-row\">\n <div class=\"stat-card\">\n <div class=\"stat-label\">Best ROI</div>\n <div class=\"stat-value positive\" id=\"best-roi\">0%</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Avg Win Rate</div>\n <div class=\"stat-value\" id=\"avg-win-rate\">0%</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Total Trades</div>\n <div class=\"stat-value\" id=\"total-trades-stat\">0</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Max Drawdown</div>\n <div class=\"stat-value negative\" id=\"max-drawdown-stat\">0%</div>\n </div>\n </div>\n\n <!-- Strategy Cards -->\n <div id=\"strategies-empty\" class=\"empty-state hidden\">\n <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n </svg>\n <div class=\"empty-title\">No strategies active</div>\n <div class=\"empty-sub\">Start an agent with a strategy to see performance here</div>\n </div>\n <div id=\"strategies-list\" class=\"strategies-list\"></div>\n </section>\n\n <!-- ============================== -->\n <!-- PAGE: Trade History -->\n <!-- ============================== -->\n <section id=\"page-trades\" class=\"page hidden\">\n <header class=\"page-header\">\n <div class=\"page-title\">Trade History</div>\n </header>\n\n <!-- Filters -->\n <div class=\"trade-filters\">\n <select class=\"filter-select\" id=\"trade-action-filter\">\n <option value=\"all\">All Actions</option>\n <option value=\"BUY\">BUY</option>\n <option value=\"SELL\">SELL</option>\n </select>\n <select class=\"filter-select\" id=\"trade-asset-filter\">\n <option value=\"all\">All Assets</option>\n <option value=\"BTC\">BTC</option>\n <option value=\"ETH\">ETH</option>\n <option value=\"TON\">TON</option>\n <option value=\"SOL\">SOL</option>\n </select>\n <select class=\"filter-select\" id=\"trade-sort\">\n <option value=\"desc\">Newest First</option>\n <option value=\"asc\">Oldest First</option>\n </select>\n </div>\n\n <!-- Trade Summary -->\n <div class=\"trade-summary-bar\" id=\"trade-summary-bar\">\n <span id=\"trade-count-label\">0 trades</span>\n <span class=\"trade-summary-pnl\" id=\"trade-summary-pnl\">P&L: $0.00</span>\n </div>\n\n <!-- Trade List -->\n <div id=\"trades-empty\" class=\"empty-state\">\n <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n <line x1=\"12\" y1=\"1\" x2=\"12\" y2=\"23\"></line>\n <path d=\"M17 5H9.5a3.5 3.5 0 0 0 0 7h5a3.5 3.5 0 0 1 0 7H6\"></path>\n </svg>\n <div class=\"empty-title\">No trades yet</div>\n <div class=\"empty-sub\">Trade history will appear here once agents execute trades</div>\n </div>\n <div id=\"trades-list\" class=\"trades-list hidden\"></div>\n\n <!-- Pagination -->\n <div class=\"pagination hidden\" id=\"pagination\">\n <button class=\"page-btn\" id=\"prev-page\" disabled>\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"15 18 9 12 15 6\"></polyline>\n </svg>\n Prev\n </button>\n <span class=\"page-info\" id=\"page-info\">1 / 1</span>\n <button class=\"page-btn\" id=\"next-page\" disabled>\n Next\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"9 18 15 12 9 6\"></polyline>\n </svg>\n </button>\n </div>\n </section>\n\n <!-- ============================== -->\n <!-- PAGE: Strategy Marketplace -->\n <!-- ============================== -->\n <section id=\"page-marketplace\" class=\"page hidden\">\n <header class=\"page-header\">\n <div class=\"page-title\">Strategy Marketplace</div>\n <button class=\"icon-btn\" id=\"marketplace-filter-btn\" aria-label=\"Filter\">\n <svg width=\"20\" height=\"20\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"22 3 2 3 10 12.46 10 19 14 21 14 12.46 22 3\"></polygon>\n </svg>\n </button>\n </header>\n\n <!-- Search Bar -->\n <div class=\"marketplace-search\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <circle cx=\"11\" cy=\"11\" r=\"8\"></circle>\n <line x1=\"21\" y1=\"21\" x2=\"16.65\" y2=\"16.65\"></line>\n </svg>\n <input type=\"text\" id=\"marketplace-search-input\" placeholder=\"Search strategies...\" />\n </div>\n\n <!-- Category Tabs -->\n <div class=\"marketplace-categories\" id=\"marketplace-categories\">\n <button class=\"category-btn active\" data-category=\"all\">All</button>\n <button class=\"category-btn\" data-category=\"momentum\">Momentum</button>\n <button class=\"category-btn\" data-category=\"mean_reversion\">Mean Reversion</button>\n <button class=\"category-btn\" data-category=\"arbitrage\">Arbitrage</button>\n <button class=\"category-btn\" data-category=\"grid_trading\">Grid</button>\n <button class=\"category-btn\" data-category=\"yield_farming\">Yield</button>\n </div>\n\n <!-- Filter Panel (hidden by default) -->\n <div id=\"marketplace-filter-panel\" class=\"filter-panel hidden\">\n <div class=\"filter-section\">\n <div class=\"filter-label\">Risk Level</div>\n <div class=\"filter-chips\" id=\"risk-filter-chips\">\n <button class=\"chip active\" data-risk=\"all\">All</button>\n <button class=\"chip\" data-risk=\"low\">Low</button>\n <button class=\"chip\" data-risk=\"medium\">Medium</button>\n <button class=\"chip\" data-risk=\"high\">High</button>\n </div>\n </div>\n <div class=\"filter-section\">\n <div class=\"filter-label\">Sort By</div>\n <select class=\"filter-select\" id=\"marketplace-sort\">\n <option value=\"roi\">Highest ROI</option>\n <option value=\"sharpe\">Best Risk-Adjusted</option>\n <option value=\"popularity\">Most Popular</option>\n <option value=\"newest\">Newest</option>\n </select>\n </div>\n </div>\n\n <!-- Summary Stats -->\n <div class=\"stats-row marketplace-stats\">\n <div class=\"stat-card\">\n <div class=\"stat-label\">Total Strategies</div>\n <div class=\"stat-value\" id=\"mp-total-strategies\">0</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Top ROI (30d)</div>\n <div class=\"stat-value positive\" id=\"mp-top-roi\">0%</div>\n </div>\n <div class=\"stat-card\">\n <div class=\"stat-label\">Active Users</div>\n <div class=\"stat-value\" id=\"mp-active-users\">0</div>\n </div>\n </div>\n\n <!-- Strategy List -->\n <div id=\"marketplace-empty\" class=\"empty-state hidden\">\n <svg width=\"56\" height=\"56\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\">\n <path d=\"M3 9l9-7 9 7v11a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2z\"></path>\n <polyline points=\"9 22 9 12 15 12 15 22\"></polyline>\n </svg>\n <div class=\"empty-title\">No strategies found</div>\n <div class=\"empty-sub\">Try adjusting your filters or search query</div>\n </div>\n <div id=\"marketplace-list\" class=\"marketplace-list\"></div>\n </section>\n\n <!-- ============================== -->\n <!-- PAGE: Growth Dashboard -->\n <!-- ============================== -->\n <section id=\"page-growth\" class=\"page hidden\">\n <header class=\"page-header\">\n <div class=\"page-title\">Growth</div>\n </header>\n\n <!-- Growth Content Container -->\n <div id=\"growth-content\">\n <!-- Content loaded dynamically by growth.js -->\n <div class=\"loading-hint\">Loading growth dashboard...</div>\n </div>\n </section>\n\n <!-- ============================== -->\n <!-- Agent Detail Modal -->\n <!-- ============================== -->\n <div id=\"agent-modal\" class=\"modal hidden\">\n <div class=\"modal-overlay\" id=\"modal-overlay\"></div>\n <div class=\"modal-sheet\">\n <div class=\"modal-handle\"></div>\n <div class=\"modal-header\">\n <h2 class=\"modal-title\" id=\"modal-agent-name\">Agent</h2>\n <span class=\"agent-status-badge\" id=\"modal-agent-status\">active</span>\n </div>\n\n <!-- Agent Stats -->\n <div class=\"modal-stats-grid\">\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Strategy</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-strategy\">—</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Portfolio Value</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-value\">$0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Total P&L</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-pnl\">$0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">ROI</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-roi\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Win Rate</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-winrate\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Total Trades</div>\n <div class=\"modal-stat-value\" id=\"modal-agent-trades\">0</div>\n </div>\n </div>\n\n <!-- Agent Controls -->\n <div class=\"modal-section-title\">Agent Controls</div>\n <div class=\"agent-controls\">\n <button class=\"control-btn start-btn\" id=\"ctrl-start\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"currentColor\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Start\n </button>\n <button class=\"control-btn stop-btn\" id=\"ctrl-stop\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"currentColor\">\n <rect x=\"6\" y=\"4\" width=\"4\" height=\"16\"></rect>\n <rect x=\"14\" y=\"4\" width=\"4\" height=\"16\"></rect>\n </svg>\n Pause\n </button>\n <button class=\"control-btn restart-btn\" id=\"ctrl-restart\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"23 4 23 10 17 10\"></polyline>\n <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n </svg>\n Restart\n </button>\n </div>\n\n <!-- Danger Zone -->\n <div class=\"modal-section-title danger-title\">Danger Zone</div>\n <button class=\"control-btn danger-btn full-width\" id=\"ctrl-stop-fully\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <rect x=\"3\" y=\"3\" width=\"18\" height=\"18\" rx=\"2\" ry=\"2\"></rect>\n </svg>\n Stop Agent Permanently\n </button>\n\n <button class=\"close-modal-btn\" id=\"close-agent-modal\">Close</button>\n </div>\n </div>\n\n <!-- ============================== -->\n <!-- Strategy Detail Modal -->\n <!-- ============================== -->\n <div id=\"strategy-modal\" class=\"modal hidden\">\n <div class=\"modal-overlay\" id=\"strategy-modal-overlay\"></div>\n <div class=\"modal-sheet strategy-modal-sheet\">\n <div class=\"modal-handle\"></div>\n <div class=\"modal-header\">\n <h2 class=\"modal-title\" id=\"modal-strategy-name\">Strategy</h2>\n <span class=\"strategy-badge\" id=\"modal-strategy-badge\">Verified</span>\n </div>\n\n <!-- Strategy Author -->\n <div class=\"strategy-author\" id=\"modal-strategy-author\">\n <div class=\"author-avatar\">\n <span id=\"modal-author-initials\">?</span>\n </div>\n <div class=\"author-info\">\n <div class=\"author-name\" id=\"modal-author-name\">Creator</div>\n <div class=\"author-meta\" id=\"modal-author-meta\">Strategy version 1.0.0</div>\n </div>\n </div>\n\n <!-- Strategy Description -->\n <div class=\"strategy-description\" id=\"modal-strategy-description\">\n Strategy description will appear here.\n </div>\n\n <!-- Performance Metrics -->\n <div class=\"modal-section-title\">Performance Metrics</div>\n <div class=\"modal-stats-grid\">\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">ROI (30d)</div>\n <div class=\"modal-stat-value positive\" id=\"modal-strategy-roi\">+0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Win Rate</div>\n <div class=\"modal-stat-value\" id=\"modal-strategy-winrate\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Total Trades</div>\n <div class=\"modal-stat-value\" id=\"modal-strategy-trades\">0</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Max Drawdown</div>\n <div class=\"modal-stat-value negative\" id=\"modal-strategy-drawdown\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Sharpe Ratio</div>\n <div class=\"modal-stat-value\" id=\"modal-strategy-sharpe\">0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Reputation</div>\n <div class=\"modal-stat-value\" id=\"modal-strategy-reputation\">0/10</div>\n </div>\n </div>\n\n <!-- Risk Info -->\n <div class=\"modal-section-title\">Risk Profile</div>\n <div class=\"risk-info-grid\">\n <div class=\"risk-item\">\n <span class=\"risk-label\">Risk Level:</span>\n <span class=\"risk-value\" id=\"modal-risk-level\">Medium</span>\n </div>\n <div class=\"risk-item\">\n <span class=\"risk-label\">Supported Assets:</span>\n <span class=\"risk-value\" id=\"modal-supported-assets\">BTC, ETH, TON</span>\n </div>\n <div class=\"risk-item\">\n <span class=\"risk-label\">Min Capital:</span>\n <span class=\"risk-value\" id=\"modal-min-capital\">10 TON</span>\n </div>\n </div>\n\n <!-- Deploy Button -->\n <button class=\"primary-btn full-width\" id=\"deploy-strategy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy Strategy\n </button>\n\n <button class=\"close-modal-btn\" id=\"close-strategy-modal\">Close</button>\n </div>\n </div>\n\n <!-- ============================== -->\n <!-- Deploy Strategy Modal -->\n <!-- ============================== -->\n <div id=\"deploy-modal\" class=\"modal hidden\">\n <div class=\"modal-overlay\" id=\"deploy-modal-overlay\"></div>\n <div class=\"modal-sheet\">\n <div class=\"modal-handle\"></div>\n <div class=\"modal-header\">\n <h2 class=\"modal-title\">Deploy Strategy</h2>\n </div>\n\n <div class=\"deploy-strategy-info\" id=\"deploy-strategy-summary\">\n <!-- Populated by JS -->\n </div>\n\n <!-- Capital Input -->\n <div class=\"form-group\">\n <label class=\"form-label\" 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| "content": " 1→/**\n 2→ * TONAIAgent Core\n 3→ *\n 4→ * AI-native Global Financial Infrastructure (AGFI) — global capital coordination at\n 5→ * institutional scale, comparable to SWIFT, IMF, and BIS but with AI-coordination,\n 6→ * on-chain transparency, programmability, and borderless design. Includes multi-provider\n 7→ * AI layer with production-grade security, plugin system, strategy engine, no-code strategy\n 8→ * builder, marketplace, copy trading, institutional compliance, omnichain infrastructure,\n 9→ * agent launchpad, autonomous hedge fund infrastructure, viral consumer growth engine,\n 10→ * AI safety/alignment framework, ecosystem fund, TON Super App (wallet, AI agents, social\n 11→ * layer, Telegram Mini App), Telegram-native mobile-first UX, AI-native personal finance,\n 12→ * Open Agent Protocol, Enterprise SDK & Developer Platform, token strategy (launch, liquidity\n 13→ * flywheel, valuation, simulation), AI-native payments and commerce layer, global regulatory\n 14→ * strategy framework, and global institutional network for autonomous finance on TON blockchain.\n 15→ *\n 16→ * Features:\n 17→ * - Multi-provider AI support (Groq, Anthropic, OpenAI, Google, xAI, OpenRouter)\n 18→ * - Production-grade security and key management\n 19→ * - Multiple custody models (Non-Custodial, Smart Contract Wallet, MPC)\n 20→ * - Multi-layer transaction authorization\n 21→ * - Risk and fraud detection\n 22→ * - Emergency controls and recovery mechanisms\n 23→ * - Comprehensive audit logging\n 24→ * - Multi-agent coordination framework\n 25→ * - Modular plugin and tooling system\n 26→ * - TON-native tools (wallet, jettons, NFT)\n 27→ * - AI function calling integration\n 28→ * - Autonomous Strategy Engine for DeFi automation\n 29→ * - No-code visual strategy builder\n 30→ * - AI-assisted strategy creation\n 31→ * - Historical backtesting and simulation\n 32→ * - Strategy marketplace and copy trading\n 33→ * - Reputation and scoring system\n 34→ * - Performance analytics and monetization\n 35→ * - Tokenomics and agent economy (staking, governance, rewards, reputation)\n 36→ * - Institutional compliance (KYC/AML, regulatory reporting)\n 37→ * - Portfolio risk management (VaR, stress testing)\n 38→ * - AI governance and explainability\n 39→ * - Omnichain infrastructure (cross-chain capital movement, arbitrage, yield rotation)\n 40→ * - ChangeNOW integration (200+ chains, 1200+ assets)\n 41→ * - Cross-chain portfolio management and risk assessment\n 42→ * - Agent Launchpad for DAOs, funds, and autonomous treasuries\n 43→ * - Autonomous Hedge Fund Architecture (portfolio, execution, risk agents)\n 44→ * - AI-driven investment framework (signals, predictions, RL)\n 45→ * - Institutional portfolio engine (diversification, rebalancing)\n 46→ * - Continuous learning system (backtesting, live adaptation)\n 47→ * - Global data and signal platform for AI agents\n 48→ * - Viral consumer growth engine (referrals, social trading, gamification)\n 49→ * - Growth analytics and A/B testing\n 50→ * - Anti-abuse and sybil detection\n 51→ * - AI Safety, Alignment & Governance Framework\n 52→ * - Ecosystem fund (treasury, grants, investments, incubation, incentives)\n 53→ * - Super App: Smart Wallet with MPC recovery\n 54→ * - Super App: Agent Dashboard for monitoring and automation\n 55→ * - Super App: Social Layer with profiles, leaderboards, discussions\n 56→ * - Super App: Financial Dashboard with portfolio, risk, analytics\n 57→ * - Super App: Notifications and real-time alerts\n 58→ * - Super App: Telegram Mini App integration\n 59→ * - Super App: Gamification and growth mechanisms\n 60→ * - Super App: Embedded AI Assistant powered by Groq\n 61→ * - Super App: Premium subscriptions and monetization\n 62→ * - Telegram-native mobile-first UX with conversational AI\n 63→ * - AI-native personal finance (savings automation, wealth management)\n 64→ * - Life-stage personalization and behavioral finance\n 65→ * - Financial education with gamification\n 66→ * - Open Agent Protocol (OAP) for autonomous agent interoperability\n 67→ * - Enterprise SDK & Developer Platform\n 68→ * - Token strategy (launch, liquidity flywheel, valuation, simulation)\n 69→ * - AI-native payments and commerce layer (autonomous payments, subscriptions)\n 70→ * - Smart spending with AI optimization\n 71→ * - Merchant infrastructure (SDK, checkout, webhooks)\n 72→ * - Agent-driven commerce (negotiations, procurement, B2B)\n 73→ * - Cross-border payments with route optimization\n 74→ * - Payment analytics and fraud detection\n 75→ * - Global regulatory strategy and jurisdictional framework\n 76→ * - Tiered KYC/AML compliance for retail, professional, and institutional clients\n 77→ * - EU AI Act alignment with AI governance and system classification\n 78→ * - Cross-border compliance architecture\n 79→ * - Regulatory risk monitoring and SAR detection\n 80→ * - Global institutional network (partner registry, custody, liquidity, treasury)\n 81→ * - Institutional onboarding framework with due diligence\n 82→ * - DAO Governance & Treasury Layer (proposals, voting, delegation, AI treasury, multi-sig)\n 83→ * - Global expansion strategy and roadmap\n 84→ * - AI-powered institutional advantage (risk modeling, anomaly detection)\n 85→ * - Institutional governance (advisory boards, committees, policies)\n 86→ * - Cross-Chain Liquidity Integration Layer (multi-chain connector framework, liquidity\n 87→ * aggregation, cross-chain trade execution, multi-chain portfolio tracking, risk controls,\n 88→ * agent plugin system integration for arbitrage, analytics, and liquidity scanning)\n 89→ */\n 90→\n 91→export * from './ai';\n 92→\n 93→// Re-export ai-safety with namespace to avoid conflicts with AI types\n 94→// (both modules define types like FraudPattern, PolicyCondition, RiskContext, etc.)\n 95→export * as AISafety from './ai-safety';\n 96→export * from './security';\n 97→export * from './tokenomics';\n 98→\n 99→// Re-export plugins with namespace to avoid naming conflicts with AI types\n 100→export * as Plugins from './plugins';\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "/**\n * TONAIAgent Core\n *\n * AI-native Global Financial Infrastructure (AGFI) — global capital coordination at\n * institutional scale, comparable to SWIFT, IMF, and BIS but with AI-coordination,\n * on-chain transparency, programmability, and borderless design. Includes multi-provider\n * AI layer with production-grade security, plugin system, strategy engine, no-code strategy\n * builder, marketplace, copy trading, institutional compliance, omnichain infrastructure,\n * agent launchpad, autonomous hedge fund infrastructure, viral consumer growth engine,\n * AI safety/alignment framework, ecosystem fund, TON Super App (wallet, AI agents, social\n * layer, Telegram Mini App), Telegram-native mobile-first UX, AI-native personal finance,\n * Open Agent Protocol, Enterprise SDK & Developer Platform, token strategy (launch, liquidity\n * flywheel, valuation, simulation), AI-native payments and commerce layer, global regulatory\n * strategy framework, and global institutional network for autonomous finance on TON blockchain.\n *\n * Features:\n * - Multi-provider AI support (Groq, Anthropic, OpenAI, Google, xAI, OpenRouter)\n * - Production-grade security and key management\n * - Multiple custody models (Non-Custodial, Smart Contract Wallet, MPC)\n * - Multi-layer transaction authorization\n * - Risk and fraud detection\n * - Emergency controls and recovery mechanisms\n * - Comprehensive audit logging\n * - Multi-agent coordination framework\n * - Modular plugin and tooling system\n * - TON-native tools (wallet, jettons, NFT)\n * - AI function calling integration\n * - Autonomous Strategy Engine for DeFi automation\n * - No-code visual strategy builder\n * - AI-assisted strategy creation\n * - Historical backtesting and simulation\n * - Strategy marketplace and copy trading\n * - Reputation and scoring system\n * - Performance analytics and monetization\n * - Tokenomics and agent economy (staking, governance, rewards, reputation)\n * - Institutional compliance (KYC/AML, regulatory reporting)\n * - Portfolio risk management (VaR, stress testing)\n * - AI governance and explainability\n * - Omnichain infrastructure (cross-chain capital movement, arbitrage, yield rotation)\n * - ChangeNOW integration (200+ chains, 1200+ assets)\n * - Cross-chain portfolio management and risk assessment\n * - Agent Launchpad for DAOs, funds, and autonomous treasuries\n * - Autonomous Hedge Fund Architecture (portfolio, execution, risk agents)\n * - AI-driven investment framework (signals, predictions, RL)\n * - Institutional portfolio engine (diversification, rebalancing)\n * - Continuous learning system (backtesting, live adaptation)\n * - Global data and signal platform for AI agents\n * - Viral consumer growth engine (referrals, social trading, gamification)\n * - Growth analytics and A/B testing\n * - Anti-abuse and sybil detection\n * - AI Safety, Alignment & Governance Framework\n * - Ecosystem fund (treasury, grants, investments, incubation, incentives)\n * - Super App: Smart Wallet with MPC recovery\n * - Super App: Agent Dashboard for monitoring and automation\n * - Super App: Social Layer with profiles, leaderboards, discussions\n * - Super App: Financial Dashboard with portfolio, risk, analytics\n * - Super App: Notifications and real-time alerts\n * - Super App: Telegram Mini App integration\n * - Super App: Gamification and growth mechanisms\n * - Super App: Embedded AI Assistant powered by Groq\n * - Super App: Premium subscriptions and monetization\n * - Telegram-native mobile-first UX with conversational AI\n * - AI-native personal finance (savings automation, wealth management)\n * - Life-stage personalization and behavioral finance\n * - Financial education with gamification\n * - Open Agent Protocol (OAP) for autonomous agent interoperability\n * - Enterprise SDK & Developer Platform\n * - Token strategy (launch, liquidity flywheel, valuation, simulation)\n * - AI-native payments and commerce layer (autonomous payments, subscriptions)\n * - Smart spending with AI optimization\n * - Merchant infrastructure (SDK, checkout, webhooks)\n * - Agent-driven commerce (negotiations, procurement, B2B)\n * - Cross-border payments with route optimization\n * - Payment analytics and fraud detection\n * - Global regulatory strategy and jurisdictional framework\n * - Tiered KYC/AML compliance for retail, professional, and institutional clients\n * - 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| "text": "Now let me read more of the index.ts to understand all exports and see if backtesting is already exported." | |
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| "content": " 100→export * as Plugins from './plugins';\n 101→\n 102→// Re-export strategy with namespace to avoid naming conflicts with multi-agent and tokenomics types\n 103→// (multiple modules define types like CapitalAllocation, ActionResult, and StrategyPerformance)\n 104→export * as Strategy from './strategy';\n 105→\n 106→// Re-export multi-agent with namespace to avoid naming conflicts with tokenomics types\n 107→// (both modules define GovernanceConfig, DelegationRequest, CapitalPool, GovernanceStats)\n 108→export * as MultiAgent from './multi-agent';\n 109→\n 110→// No-code module is available as separate import: '@tonaiagent/core/no-code'\n 111→\n 112→// Autonomous Strategy Discovery Engine — available as separate import:\n 113→// '@tonaiagent/core/autonomous-discovery'\n 114→export * as AutonomousDiscovery from './autonomous-discovery';\n 115→\n 116→// Cross-Chain Liquidity Integration Layer — available as separate import:\n 117→// '@tonaiagent/core/cross-chain-liquidity'\n 118→export * as CrossChainLiquidity from './cross-chain-liquidity';\n 119→\n 120→// Marketplace exports (with explicit exports to avoid conflicts)\n 121→export {\n 122→ // Marketplace service\n 123→ createMarketplaceService,\n 124→ DefaultMarketplaceService,\n 125→ // Strategy\n 126→ createStrategyManager,\n 127→ DefaultStrategyManager,\n 128→ // Copy trading\n 129→ createCopyTradingEngine,\n 130→ DefaultCopyTradingEngine,\n 131→ // Reputation\n 132→ createReputationManager,\n 133→ DefaultReputationManager,\n 134→ // Analytics\n 135→ createAnalyticsEngine,\n 136→ DefaultAnalyticsEngine,\n 137→ // Monetization\n 138→ createMonetizationManager,\n 139→ DefaultMonetizationManager,\n 140→ // Risk transparency\n 141→ createRiskTransparencyManager,\n 142→ DefaultRiskTransparencyManager,\n 143→} from './marketplace';\n 144→\n 145→// Re-export marketplace types with namespace to avoid conflicts\n 146→export type * as MarketplaceTypes from './marketplace/types';\n 147→\n 148→// Strategy Marketplace v1 — unified module namespace\n 149→// Exposes: Strategy Registry, Marketplace API, and all v1 marketplace components\n 150→export * as StrategyMarketplaceModule from './marketplace';\n 151→export {\n 152→ // Strategy Registry\n 153→ createStrategyRegistry,\n 154→ DefaultStrategyRegistry,\n 155→ // Marketplace API\n 156→ createMarketplaceAPI,\n 157→ DefaultMarketplaceAPI,\n 158→} from './marketplace';\n 159→\n 160→// Re-export omnichain with namespace to avoid naming conflicts\n 161→// (omnichain defines its own ActionResult, ChainId, and other common types)\n 162→export * as Omnichain from './omnichain';\n 163→\n 164→// Note: Import institutional module separately from '@tonaiagent/core/institutional'\n 165→// to avoid naming conflicts with existing exports\n 166→\n 167→// Note: Import omnichain module separately from '@tonaiagent/core/omnichain'\n 168→// for full access to all omnichain types and interfaces\n 169→\n 170→// Re-export launchpad with namespace to avoid naming conflicts\n 171→// (launchpad has its own GovernanceConfig, CapitalPool, and similar types)\n 172→export * as Launchpad from './launchpad';\n 173→\n 174→// Re-export hedgefund with namespace to avoid naming conflicts\n 175→// (hedgefund module defines StrategyAllocation, PortfolioPerformance, etc.)\n 176→export * as HedgeFund from './hedgefund';\n 177→\n 178→// Note: Import hedgefund module separately from '@tonaiagent/core/hedgefund'\n 179→// for direct access to hedge fund types and managers\n 180→\n 181→// Re-export data-platform with namespace to avoid naming conflicts\n 182→// (data-platform defines MarketDataService which could conflict with other modules)\n 183→export * as DataPlatform from './data-platform';\n 184→\n 185→// Growth Engine exports (referral, social trading, gamification, viral loops, analytics, anti-abuse)\n 186→export {\n 187→ // Main engine\n 188→ createGrowthEngine,\n 189→ DefaultGrowthEngine,\n 190→ // Referral system\n 191→ createReferralSystem,\n 192→ DefaultReferralSystem,\n 193→ // Social trading\n 194→ createSocialTradingEngine,\n 195→ DefaultSocialTradingEngine,\n 196→ // Gamification\n 197→ createGamificationEngine,\n 198→ DefaultGamificationEngine,\n 199→ // Viral loops\n 200→ createViralLoopsEngine,\n 201→ DefaultViralLoopsEngine,\n 202→ // Growth analytics\n 203→ createGrowthAnalyticsEngine,\n 204→ DefaultGrowthAnalyticsEngine,\n 205→ // Anti-abuse\n 206→ createAntiAbuseSystem,\n 207→ DefaultAntiAbuseSystem,\n 208→} from './growth';\n 209→\n 210→// Re-export growth types with namespace to avoid conflicts\n 211→export type * as GrowthTypes from './growth/types';\n 212→\n 213→// Note: Import ecosystem fund module separately from '@tonaiagent/core/ecosystem-fund'\n 214→// to avoid naming conflicts with existing exports (governance, treasury, etc.)\n 215→\n 216→// Note: Import superapp module separately from '@tonaiagent/core/superapp'\n 217→// to access the full Super App functionality (wallet, agents, social, financial, etc.)\n 218→\n 219→// Note: Import mobile-ux module separately from '@tonaiagent/core/mobile-ux'\n 220→// for Telegram-native mobile-first UX features\n 221→\n 222→// Note: Import personal-finance module separately from '@tonaiagent/core/personal-finance'\n 223→// for AI-native personal finance features (savings, investments, education, dashboard)\n 224→\n 225→// Open Agent Protocol - Universal standard for autonomous agents\n 226→// Provides identity, capabilities, messaging, security, reputation, plugins, cross-chain, and governance\n 227→export * as Protocol from './protocol';\n 228→export {\n 229→ // Main protocol class\n 230→ OpenAgentProtocol,\n 231→ createAgent,\n 232→ // Types\n 233→ type OpenAgentProtocolConfig,\n 234→ type CreateAgentInput,\n 235→ type ProtocolAgent,\n 236→ type ProtocolEventHandler,\n 237→} from './protocol';\n 238→\n 239→// Note: Import protocol module separately from '@tonaiagent/core/protocol'\n 240→// for full access to all protocol features (identity, capabilities, messaging, etc.)\n 241→\n 242→// Note: Import SDK module separately from '@tonaiagent/core/sdk'\n 243→// for Enterprise SDK & Developer Platform (agent management, extensions, sandbox)\n 244→\n 245→// Note: Import token-strategy module separately from '@tonaiagent/core/token-strategy'\n 246→// for strategic token launch, liquidity flywheel, valuation modeling, and simulation\n 247→\n 248→// Note: Import payments module separately from '@tonaiagent/core/payments'\n 249→// for AI-native payments and commerce features (gateway, subscriptions, merchants, agents)\n 250→\n 251→// Global Regulatory Strategy & Jurisdictional Framework\n 252→// Provides comprehensive compliance infrastructure for AI-native autonomous finance\n 253→export * as Regulatory from './regulatory';\n 254→export {\n 255→ // Main regulatory manager\n 256→ RegulatoryManager,\n 257→ createRegulatoryManager,\n 258→ // Jurisdiction analyzer\n 259→ JurisdictionAnalyzer,\n 260→ createJurisdictionAnalyzer,\n 261→ // KYC/AML manager\n 262→ KycAmlManager,\n 263→ createKycAmlManager,\n 264→ // AI governance\n 265→ AiGovernanceManager,\n 266→ createAiGovernanceManager,\n 267→ // Regulatory risk engine\n 268→ RegulatoryRiskEngine,\n 269→ createRegulatoryRiskEngine,\n 270→ // Types\n 271→ type RegulatoryManagerConfig,\n 272→ type JurisdictionCode,\n 273→ type ComplianceStatus,\n 274→ type KycResult,\n 275→ type RiskLevel,\n 276→ type AiSystemClassification,\n 277→} from './regulatory';\n 278→\n 279→// Note: Import regulatory module separately from '@tonaiagent/core/regulatory'\n 280→// for full access to all regulatory features (jurisdiction analysis, KYC/AML, AI governance, risk engine)\n 281→\n 282→// Note: Import institutional-network module separately from '@tonaiagent/core/institutional-network'\n 283→// for global institutional network features (partner registry, custody infrastructure, liquidity network,\n 284→// treasury interoperability, institutional onboarding, reporting, global expansion, AI advantage, governance)\n 285→\n 286→// Note: Import ai-credit module separately from '@tonaiagent/core/ai-credit'\n 287→// for AI-native credit, lending, and underwriting features (CoinRabbit integration,\n 288→// credit scoring, collateral management, underwriting engine, lending strategies)\n 289→\n 290→// TON Smart Contract Factory\n 291→// TON-native factory system for deploying Agent Wallet Contracts and Strategy Contracts\n 292→// with deterministic address generation, version control, and upgrade patterns.\n 293→// Note: Import ton-factory module separately from '@tonaiagent/core/ton-factory'\n 294→// for full access (factory contract, agent wallets, strategy executor, registry, fee manager)\n 295→export * as TonFactory from './ton-factory';\n 296→export {\n 297→ // Main service\n 298→ createTonFactoryService,\n 299→ DefaultTonFactoryService,\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "export * as Plugins from './plugins';\n\n// Re-export strategy with namespace to avoid naming conflicts with multi-agent and tokenomics types\n// (multiple modules define types like CapitalAllocation, ActionResult, and StrategyPerformance)\nexport * as Strategy from './strategy';\n\n// Re-export multi-agent with namespace to avoid naming conflicts with tokenomics types\n// (both modules define GovernanceConfig, DelegationRequest, CapitalPool, GovernanceStats)\nexport * as MultiAgent from './multi-agent';\n\n// No-code module is available as separate import: '@tonaiagent/core/no-code'\n\n// Autonomous Strategy Discovery Engine — available as separate import:\n// '@tonaiagent/core/autonomous-discovery'\nexport * as AutonomousDiscovery from './autonomous-discovery';\n\n// Cross-Chain Liquidity Integration Layer — available as separate import:\n// '@tonaiagent/core/cross-chain-liquidity'\nexport * as CrossChainLiquidity from './cross-chain-liquidity';\n\n// Marketplace exports (with explicit exports to avoid conflicts)\nexport {\n // Marketplace service\n createMarketplaceService,\n DefaultMarketplaceService,\n // Strategy\n createStrategyManager,\n DefaultStrategyManager,\n // Copy trading\n createCopyTradingEngine,\n DefaultCopyTradingEngine,\n // Reputation\n createReputationManager,\n DefaultReputationManager,\n // Analytics\n createAnalyticsEngine,\n DefaultAnalyticsEngine,\n // Monetization\n createMonetizationManager,\n DefaultMonetizationManager,\n // Risk transparency\n createRiskTransparencyManager,\n DefaultRiskTransparencyManager,\n} from './marketplace';\n\n// Re-export marketplace types with namespace to avoid conflicts\nexport type * as MarketplaceTypes from './marketplace/types';\n\n// Strategy Marketplace v1 — unified module namespace\n// Exposes: Strategy Registry, Marketplace API, and all v1 marketplace components\nexport * as StrategyMarketplaceModule from './marketplace';\nexport {\n // Strategy Registry\n createStrategyRegistry,\n DefaultStrategyRegistry,\n // Marketplace API\n createMarketplaceAPI,\n DefaultMarketplaceAPI,\n} from './marketplace';\n\n// Re-export omnichain with namespace to avoid naming conflicts\n// (omnichain defines its own ActionResult, ChainId, and other common types)\nexport * as Omnichain from './omnichain';\n\n// Note: Import institutional module separately from '@tonaiagent/core/institutional'\n// to avoid naming conflicts with existing exports\n\n// Note: Import omnichain module separately from '@tonaiagent/core/omnichain'\n// for full access to all omnichain types and interfaces\n\n// Re-export launchpad with namespace to avoid naming conflicts\n// (launchpad has its own GovernanceConfig, CapitalPool, and similar types)\nexport * as Launchpad from './launchpad';\n\n// Re-export hedgefund with namespace to avoid naming conflicts\n// (hedgefund module defines StrategyAllocation, PortfolioPerformance, etc.)\nexport * as HedgeFund from './hedgefund';\n\n// Note: Import hedgefund module separately from '@tonaiagent/core/hedgefund'\n// for direct access to hedge fund types and managers\n\n// Re-export data-platform with namespace to avoid naming conflicts\n// (data-platform defines MarketDataService which could conflict with other modules)\nexport * as DataPlatform from './data-platform';\n\n// Growth Engine exports (referral, social trading, gamification, viral loops, analytics, anti-abuse)\nexport {\n // Main engine\n createGrowthEngine,\n DefaultGrowthEngine,\n // Referral system\n createReferralSystem,\n DefaultReferralSystem,\n // Social trading\n createSocialTradingEngine,\n DefaultSocialTradingEngine,\n // Gamification\n createGamificationEngine,\n DefaultGamificationEngine,\n // Viral loops\n createViralLoopsEngine,\n DefaultViralLoopsEngine,\n // Growth analytics\n createGrowthAnalyticsEngine,\n DefaultGrowthAnalyticsEngine,\n // Anti-abuse\n createAntiAbuseSystem,\n DefaultAntiAbuseSystem,\n} from './growth';\n\n// Re-export growth types with namespace to avoid conflicts\nexport type * as GrowthTypes from './growth/types';\n\n// Note: Import ecosystem fund module separately from '@tonaiagent/core/ecosystem-fund'\n// to avoid naming conflicts with existing exports (governance, treasury, etc.)\n\n// Note: Import superapp module separately from '@tonaiagent/core/superapp'\n// to access the full Super App functionality (wallet, agents, social, financial, etc.)\n\n// Note: Import mobile-ux module separately from '@tonaiagent/core/mobile-ux'\n// for Telegram-native mobile-first UX features\n\n// Note: Import personal-finance module separately from '@tonaiagent/core/personal-finance'\n// for AI-native personal finance features (savings, investments, education, dashboard)\n\n// Open Agent Protocol - Universal standard for autonomous agents\n// Provides identity, capabilities, messaging, security, reputation, plugins, cross-chain, and governance\nexport * as Protocol from './protocol';\nexport {\n // Main protocol class\n OpenAgentProtocol,\n createAgent,\n // Types\n type OpenAgentProtocolConfig,\n type CreateAgentInput,\n type ProtocolAgent,\n type ProtocolEventHandler,\n} from './protocol';\n\n// Note: Import protocol module separately from '@tonaiagent/core/protocol'\n// for full access to all protocol features (identity, capabilities, messaging, etc.)\n\n// Note: Import SDK module separately from '@tonaiagent/core/sdk'\n// for Enterprise SDK & Developer Platform (agent management, extensions, sandbox)\n\n// Note: Import token-strategy module separately from '@tonaiagent/core/token-strategy'\n// for strategic token launch, liquidity flywheel, valuation modeling, and simulation\n\n// Note: Import payments module separately from '@tonaiagent/core/payments'\n// for AI-native payments and commerce features (gateway, subscriptions, merchants, agents)\n\n// Global Regulatory Strategy & Jurisdictional Framework\n// Provides comprehensive compliance infrastructure for AI-native autonomous finance\nexport * as Regulatory from './regulatory';\nexport {\n // Main regulatory manager\n RegulatoryManager,\n createRegulatoryManager,\n // Jurisdiction analyzer\n JurisdictionAnalyzer,\n createJurisdictionAnalyzer,\n // KYC/AML manager\n KycAmlManager,\n createKycAmlManager,\n // AI governance\n AiGovernanceManager,\n createAiGovernanceManager,\n // Regulatory risk engine\n RegulatoryRiskEngine,\n createRegulatoryRiskEngine,\n // Types\n type RegulatoryManagerConfig,\n type JurisdictionCode,\n type ComplianceStatus,\n type KycResult,\n type RiskLevel,\n type AiSystemClassification,\n} from './regulatory';\n\n// Note: Import regulatory module separately from '@tonaiagent/core/regulatory'\n// for full access to all regulatory features (jurisdiction analysis, KYC/AML, AI governance, risk engine)\n\n// Note: Import institutional-network module separately from '@tonaiagent/core/institutional-network'\n// for global institutional network features (partner registry, custody infrastructure, liquidity network,\n// treasury interoperability, institutional onboarding, reporting, global expansion, AI advantage, governance)\n\n// Note: Import ai-credit module separately from '@tonaiagent/core/ai-credit'\n// for AI-native credit, lending, and underwriting features (CoinRabbit integration,\n// credit scoring, collateral management, underwriting engine, lending strategies)\n\n// TON Smart Contract Factory\n// TON-native factory system for deploying Agent Wallet Contracts and Strategy Contracts\n// with deterministic address generation, version control, and upgrade patterns.\n// Note: Import ton-factory module separately from '@tonaiagent/core/ton-factory'\n// for full access (factory contract, agent wallets, strategy executor, registry, fee manager)\nexport * as TonFactory from './ton-factory';\nexport {\n // Main service\n createTonFactoryService,\n DefaultTonFactoryService,", | |
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| "text": "Based on my analysis:\n\n1. **Existing Infrastructure**: The codebase already has a comprehensive `src/backtesting/` module with:\n - Historical data management (OHLCV candles, synthetic data generation)\n - Market replay engine\n - Simulation environment\n - Performance analysis\n - Risk evaluation\n - Report generation\n\n2. **Strategy Marketplace**: The `src/strategy-marketplace/` module has built-in strategies but no connection to the backtesting engine.\n\n3. **What's Missing** (per issue requirements):\n - Integration layer between Strategy Marketplace and Backtesting Engine\n - Mini App UI for running backtests\n - CLI command for developers (`npm run backtest`)\n - README documentation\n\nLet me create the integration layer first. I'll create a new file that connects the Strategy Marketplace with the Backtesting Engine." | |
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| "content": "/**\n * TONAIAgent - Strategy Marketplace Backtesting Integration\n *\n * Connects the Strategy Marketplace with the Backtesting Engine,\n * enabling users to evaluate strategy performance using historical\n * market data before deployment.\n *\n * Issue #202: Strategy Backtesting Engine\n *\n * Features:\n * - Run backtests on marketplace strategies\n * - Configure backtest parameters (asset, timeframe, capital, dates)\n * - View performance metrics (ROI, drawdown, win rate, Sharpe ratio)\n * - Compare strategy performance across different market conditions\n *\n * @example\n * ```typescript\n * import {\n * createMarketplaceBacktester,\n * BacktestConfig,\n * } from '@tonaiagent/core/strategy-marketplace';\n *\n * const backtester = createMarketplaceBacktester();\n *\n * // Run backtest on a marketplace strategy\n * const result = await backtester.runBacktest({\n * strategyId: 'momentum-trader',\n * asset: 'TON',\n * timeframe: '1h',\n * startDate: new Date('2024-01-01'),\n * endDate: new Date('2024-06-30'),\n * initialCapital: 10000,\n * });\n *\n * console.log(`ROI: ${result.performance.totalReturn}%`);\n * console.log(`Max Drawdown: ${result.performance.maxDrawdown}%`);\n * console.log(`Sharpe Ratio: ${result.performance.sharpeRatio}`);\n * ```\n */\n\nimport {\n createBacktestingFramework,\n BacktestingFramework,\n BacktestRunConfig,\n BacktestRunResult,\n BacktestStrategySpec,\n DataGranularity,\n OHLCVCandle,\n PortfolioState,\n PlaceOrderRequest,\n SimulatedOrder,\n PerformanceReport,\n RiskEvaluationResult,\n BacktestReport,\n} from '../backtesting';\n\nimport {\n MarketplaceStrategyListing,\n createStrategyMarketplace,\n DefaultStrategyMarketplace,\n} from './index';\n\n// ============================================================================\n// Backtest Configuration Types\n// ============================================================================\n\n/**\n * Supported timeframes for backtesting\n */\nexport type BacktestTimeframe = '1m' | '5m' | '15m' | '1h' | '4h' | '1d';\n\n/**\n * Backtest configuration for a marketplace strategy\n */\nexport interface MarketplaceBacktestConfig {\n /** Strategy ID from the marketplace */\n strategyId: string;\n /** Asset to backtest (e.g., 'TON', 'BTC', 'ETH') */\n asset: string;\n /** Trading pair quote currency (default: 'USDT') */\n quoteCurrency?: string;\n /** Candle timeframe */\n timeframe: BacktestTimeframe;\n /** Backtest start date */\n startDate: Date;\n /** Backtest end date */\n endDate: Date;\n /** Initial capital in USD */\n initialCapital: number;\n /** Trading fee percentage (default: 0.1%) */\n tradingFeePercent?: number;\n /** Slippage in basis points (default: 10) */\n slippageBps?: number;\n /** Enable risk evaluation (default: true) */\n enableRiskEvaluation?: boolean;\n /** Enable Monte Carlo analysis (default: false) */\n enableMonteCarlo?: boolean;\n /** Number of Monte Carlo simulations */\n monteCarloSimulations?: number;\n}\n\n/**\n * Summary of backtest results for UI display\n */\nexport interface BacktestResultSummary {\n /** Backtest ID */\n backtestId: string;\n /** Strategy ID */\n strategyId: string;\n /** Strategy name */\n strategyName: string;\n /** Asset tested */\n asset: string;\n /** Period description (e.g., \"Jan 2024 - Jun 2024\") */\n period: string;\n /** Initial capital */\n initialCapital: number;\n /** Final portfolio value */\n finalValue: number;\n /** Total ROI percentage */\n totalReturn: number;\n /** Maximum drawdown percentage */\n maxDrawdown: number;\n /** Total number of trades */\n totalTrades: number;\n /** Win rate percentage */\n winRate: number;\n /** Sharpe ratio */\n sharpeRatio: number;\n /** Profit factor */\n profitFactor: number;\n /** Risk grade (A-F) */\n riskGrade: string;\n /** Backtest duration in milliseconds */\n durationMs: number;\n /** Equity curve data points for charting */\n equityCurve: Array<{ timestamp: Date; value: number }>;\n /** Trade markers for charting */\n tradeMarkers: Array<{\n timestamp: Date;\n type: 'buy' | 'sell';\n price: number;\n amount: number;\n }>;\n}\n\n/**\n * Full backtest result with all details\n */\nexport interface MarketplaceBacktestResult {\n /** Summary for quick display */\n summary: BacktestResultSummary;\n /** Full backtest run result */\n fullResult: BacktestRunResult;\n /** Strategy listing info */\n strategy: MarketplaceStrategyListing;\n /** Configuration used */\n config: MarketplaceBacktestConfig;\n /** Warnings or notes */\n warnings: string[];\n}\n\n/**\n * Backtest comparison result\n */\nexport interface BacktestComparisonResult {\n /** Strategies compared */\n strategies: Array<{\n strategyId: string;\n strategyName: string;\n result: BacktestResultSummary;\n }>;\n /** Best performer by ROI */\n bestByRoi: string;\n /** Best performer by risk-adjusted returns */\n bestByRiskAdjusted: string;\n /** Lowest drawdown strategy */\n lowestDrawdown: string;\n /** Highest win rate strategy */\n highestWinRate: string;\n}\n\n// ============================================================================\n// Strategy Execution Adapters\n// ============================================================================\n\n/**\n * Creates a backtest strategy spec from a marketplace strategy.\n * This adapts marketplace strategies to the backtesting framework.\n */\nfunction createStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n // Map marketplace strategy categories to execution logic\n switch (strategy.category) {\n case 'momentum':\n return createMomentumStrategySpec(strategy, asset);\n case 'mean_reversion':\n return createMeanReversionStrategySpec(strategy, asset);\n case 'trend_following':\n return createTrendFollowingStrategySpec(strategy, asset);\n case 'grid_trading':\n return createGridTradingStrategySpec(strategy, asset);\n case 'arbitrage':\n return createArbitrageStrategySpec(strategy, asset);\n case 'yield_farming':\n return createYieldFarmingStrategySpec(strategy, asset);\n default:\n return createDefaultStrategySpec(strategy, asset);\n }\n}\n\n/**\n * Momentum strategy: Buy when short MA crosses above long MA\n */\nfunction createMomentumStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const shortPeriod = 10;\n const longPeriod = 20;\n const priceHistory: number[] = [];\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > longPeriod) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < longPeriod) return;\n\n const shortMA =\n priceHistory.slice(-shortPeriod).reduce((a, b) => a + b, 0) / shortPeriod;\n const longMA = priceHistory.reduce((a, b) => a + b, 0) / longPeriod;\n const prevShortMA =\n priceHistory.slice(-shortPeriod - 1, -1).reduce((a, b) => a + b, 0) /\n shortPeriod;\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n // Buy signal: short MA crosses above long MA\n if (shortMA > longMA && prevShortMA <= longMA && portfolio.cash > 100) {\n const tradeAmount = portfolio.cash * 0.95; // Use 95% of available cash\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Sell signal: short MA crosses below long MA\n else if (shortMA < longMA && prevShortMA >= longMA && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n },\n };\n}\n\n/**\n * Mean reversion strategy: Buy when price drops below lower Bollinger Band\n */\nfunction createMeanReversionStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const period = 20;\n const stdMultiplier = 2;\n const priceHistory: number[] = [];\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > period) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < period) return;\n\n const mean = priceHistory.reduce((a, b) => a + b, 0) / period;\n const variance =\n priceHistory.reduce((sum, p) => sum + Math.pow(p - mean, 2), 0) / period;\n const stdDev = Math.sqrt(variance);\n\n const upperBand = mean + stdMultiplier * stdDev;\n const lowerBand = mean - stdMultiplier * stdDev;\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n // Buy when price touches lower band (oversold)\n if (candle.close <= lowerBand && portfolio.cash > 100) {\n const tradeAmount = portfolio.cash * 0.5; // Use 50% for mean reversion\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Sell when price reaches upper band (overbought)\n else if (candle.close >= upperBand && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n // Take profit at mean\n else if (candle.close >= mean && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 50,\n amountType: 'percent',\n });\n }\n },\n };\n}\n\n/**\n * Trend following strategy: Follow the trend with trailing stops\n */\nfunction createTrendFollowingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const period = 14;\n const priceHistory: number[] = [];\n let entryPrice = 0;\n let highSinceEntry = 0;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > period) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < period) return;\n\n const high = Math.max(...priceHistory);\n const low = Math.min(...priceHistory);\n const range = high - low;\n const momentum = (candle.close - low) / (range || 1);\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n if (hasPosition) {\n highSinceEntry = Math.max(highSinceEntry, candle.close);\n }\n\n // Buy when strong upward momentum\n if (momentum > 0.8 && !hasPosition && portfolio.cash > 100) {\n entryPrice = candle.close;\n highSinceEntry = candle.close;\n const tradeAmount = portfolio.cash * 0.9;\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Exit on trailing stop (8% from high)\n else if (\n hasPosition &&\n candle.close < highSinceEntry * 0.92 &&\n positionSize > 0\n ) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n entryPrice = 0;\n highSinceEntry = 0;\n }\n // Exit on momentum reversal\n else if (momentum < 0.2 && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n entryPrice = 0;\n highSinceEntry = 0;\n }\n },\n };\n}\n\n/**\n * Grid trading strategy: Place orders at regular price intervals\n */\nfunction createGridTradingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const gridLevels = 10;\n const gridSpacing = 0.02; // 2% between levels\n let gridCenter = 0;\n let gridInitialized = false;\n const filledLevels = new Set<number>();\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n // Initialize grid around first candle price\n if (!gridInitialized) {\n gridCenter = candle.close;\n gridInitialized = true;\n }\n\n const positionValue = portfolio.positions.has(asset)\n ? portfolio.positions.get(asset)!.positionValue\n : 0;\n const totalValue = portfolio.cash + positionValue;\n const gridAmount = totalValue / gridLevels;\n\n // Check each grid level\n for (let i = -gridLevels / 2; i <= gridLevels / 2; i++) {\n const levelPrice = gridCenter * (1 + i * gridSpacing);\n const levelKey = Math.round(levelPrice * 100);\n\n // Buy at lower levels\n if (\n i < 0 &&\n candle.low <= levelPrice &&\n !filledLevels.has(levelKey) &&\n portfolio.cash >= gridAmount\n ) {\n filledLevels.add(levelKey);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: gridAmount,\n amountType: 'usd',\n });\n }\n // Sell at higher levels\n else if (\n i > 0 &&\n candle.high >= levelPrice &&\n filledLevels.has(Math.round(gridCenter * (1 + (i - 1) * gridSpacing) * 100))\n ) {\n const sellLevelKey = Math.round(\n gridCenter * (1 + (i - 1) * gridSpacing) * 100\n );\n if (filledLevels.has(sellLevelKey)) {\n filledLevels.delete(sellLevelKey);\n const position = portfolio.positions.get(asset);\n if (position && position.amount > 0) {\n const sellAmount = Math.min(\n gridAmount / candle.close,\n position.amount\n );\n if (sellAmount > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: sellAmount,\n amountType: 'units',\n });\n }\n }\n }\n }\n }\n },\n };\n}\n\n/**\n * Arbitrage strategy: Simulates spread capture (simplified)\n */\nfunction createArbitrageStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const spreadThreshold = 0.005; // 0.5% minimum spread\n let lastPrice = 0;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n if (lastPrice === 0) {\n lastPrice = candle.close;\n return;\n }\n\n const priceChange = Math.abs(candle.close - lastPrice) / lastPrice;\n const hasPosition = portfolio.positions.has(asset);\n\n // Capture spread opportunities\n if (priceChange > spreadThreshold) {\n if (candle.close < lastPrice && portfolio.cash > 100) {\n // Price dropped - buy opportunity\n const tradeAmount = Math.min(portfolio.cash * 0.3, 1000);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n } else if (candle.close > lastPrice && hasPosition) {\n // Price increased - sell opportunity\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n }\n\n lastPrice = candle.close;\n },\n };\n}\n\n/**\n * Yield farming strategy: Simulates DCA with yield optimization\n */\nfunction createYieldFarmingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n let lastBuyTime = 0;\n const buyInterval = 7 * 24 * 60 * 60 * 1000; // Weekly DCA\n const yieldRate = 0.0001; // Simulated daily yield (0.01%)\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n const currentTime = candle.timestamp.getTime();\n\n // Weekly DCA buy\n if (\n currentTime - lastBuyTime >= buyInterval &&\n portfolio.cash > 100\n ) {\n lastBuyTime = currentTime;\n const dcaAmount = Math.min(portfolio.cash * 0.1, 500);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: dcaAmount,\n amountType: 'usd',\n });\n }\n\n // Yield is simulated by holding positions (no explicit action needed)\n // The performance calculation will show compound growth\n },\n };\n}\n\n/**\n * Default strategy: Simple buy and hold\n */\nfunction createDefaultStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n let hasBought = false;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n // Buy once at start\n if (!hasBought && portfolio.cash > 100) {\n hasBought = true;\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: portfolio.cash * 0.95,\n amountType: 'usd',\n });\n }\n },\n };\n}\n\n// ============================================================================\n// Marketplace Backtester Interface\n// ============================================================================\n\n/**\n * Interface for the marketplace backtesting service\n */\nexport interface MarketplaceBacktester {\n /** Run a backtest on a marketplace strategy */\n runBacktest(config: MarketplaceBacktestConfig): Promise<MarketplaceBacktestResult>;\n\n /** Get a previously run backtest result */\n getBacktestResult(backtestId: string): MarketplaceBacktestResult | undefined;\n\n /** Get all backtest results for a strategy */\n getStrategyBacktests(strategyId: string): MarketplaceBacktestResult[];\n\n /** Get all backtest results */\n getAllBacktests(): MarketplaceBacktestResult[];\n\n /** Compare multiple strategies with the same configuration */\n compareStrategies(\n strategyIds: string[],\n config: Omit<MarketplaceBacktestConfig, 'strategyId'>\n ): Promise<BacktestComparisonResult>;\n\n /** Get available assets for backtesting */\n getAvailableAssets(): string[];\n\n /** Get available timeframes */\n getAvailableTimeframes(): BacktestTimeframe[];\n\n /** Validate backtest configuration */\n validateConfig(config: MarketplaceBacktestConfig): { valid: boolean; errors: string[] };\n}\n\n// ============================================================================\n// Default Marketplace Backtester Implementation\n// ============================================================================\n\nexport class DefaultMarketplaceBacktester implements MarketplaceBacktester {\n private readonly framework: BacktestingFramework;\n private readonly marketplace: DefaultStrategyMarketplace;\n private readonly results: Map<string, MarketplaceBacktestResult> = new Map();\n\n constructor(\n framework?: BacktestingFramework,\n marketplace?: DefaultStrategyMarketplace\n ) {\n this.framework = framework ?? createBacktestingFramework();\n this.marketplace = marketplace ?? createStrategyMarketplace();\n }\n\n async runBacktest(\n config: MarketplaceBacktestConfig\n ): Promise<MarketplaceBacktestResult> {\n // Validate configuration\n const validation = this.validateConfig(config);\n if (!validation.valid) {\n throw new Error(`Invalid backtest configuration: ${validation.errors.join(', ')}`);\n }\n\n // Get strategy from marketplace\n const strategy = await this.marketplace.getStrategy(config.strategyId);\n if (!strategy) {\n throw new Error(`Strategy not found: ${config.strategyId}`);\n }\n\n // Create strategy spec\n const strategySpec = createStrategySpec(strategy, config.asset);\n\n // Build backtest run configuration\n const runConfig: BacktestRunConfig = {\n strategyId: config.strategyId,\n strategyName: strategy.name,\n strategySpec,\n dataConfig: {\n type: 'synthetic',\n assets: [config.asset],\n startDate: config.startDate,\n endDate: config.endDate,\n granularity: config.timeframe as DataGranularity,\n syntheticConfig: {\n initialPrices: { [config.asset]: this.getInitialPrice(config.asset) },\n volatility: this.getVolatility(strategy),\n drift: this.getDrift(strategy),\n seed: Date.now(),\n },\n },\n simulationConfig: {\n initialCapital: config.initialCapital,\n currency: config.quoteCurrency ?? 'USD',\n slippageModel: {\n type: 'fixed',\n baseSlippage: config.slippageBps ?? 10,\n },\n feeModel: {\n tradingFeePercent: config.tradingFeePercent ?? 0.1,\n gasCostUsd: 0.05,\n },\n fillModel: {\n type: 'immediate',\n },\n },\n riskEvaluation: config.enableRiskEvaluation ?? true,\n monteCarlo: config.enableMonteCarlo\n ? {\n enabled: true,\n simulations: config.monteCarloSimulations ?? 1000,\n confidenceLevel: 0.95,\n }\n : undefined,\n generateReport: true,\n };\n\n // Run backtest\n const fullResult = await this.framework.run(runConfig);\n\n // Build summary\n const summary = this.buildSummary(fullResult, strategy, config);\n\n // Create result\n const result: MarketplaceBacktestResult = {\n summary,\n fullResult,\n strategy,\n config,\n warnings: fullResult.warnings,\n };\n\n // Store result\n this.results.set(fullResult.id, result);\n\n return result;\n }\n\n getBacktestResult(backtestId: string): MarketplaceBacktestResult | undefined {\n return this.results.get(backtestId);\n }\n\n getStrategyBacktests(strategyId: string): MarketplaceBacktestResult[] {\n return Array.from(this.results.values()).filter(\n (r) => r.config.strategyId === strategyId\n );\n }\n\n getAllBacktests(): MarketplaceBacktestResult[] {\n return Array.from(this.results.values()).sort(\n (a, b) =>\n b.fullResult.startedAt.getTime() - a.fullResult.startedAt.getTime()\n );\n }\n\n async compareStrategies(\n strategyIds: string[],\n config: Omit<MarketplaceBacktestConfig, 'strategyId'>\n ): Promise<BacktestComparisonResult> {\n const results = await Promise.all(\n strategyIds.map((strategyId) =>\n this.runBacktest({ ...config, strategyId })\n )\n );\n\n const strategies = results.map((r) => ({\n strategyId: r.config.strategyId,\n strategyName: r.strategy.name,\n result: r.summary,\n }));\n\n // Find best performers\n const bestByRoi = strategies.reduce((best, curr) =>\n curr.result.totalReturn > best.result.totalReturn ? curr : best\n );\n\n const bestByRiskAdjusted = strategies.reduce((best, curr) =>\n curr.result.sharpeRatio > best.result.sharpeRatio ? curr : best\n );\n\n const lowestDrawdown = strategies.reduce((best, curr) =>\n Math.abs(curr.result.maxDrawdown) < Math.abs(best.result.maxDrawdown)\n ? curr\n : best\n );\n\n const highestWinRate = strategies.reduce((best, curr) =>\n curr.result.winRate > best.result.winRate ? curr : best\n );\n\n return {\n strategies,\n bestByRoi: bestByRoi.strategyId,\n bestByRiskAdjusted: bestByRiskAdjusted.strategyId,\n lowestDrawdown: lowestDrawdown.strategyId,\n highestWinRate: highestWinRate.strategyId,\n };\n }\n\n getAvailableAssets(): string[] {\n return ['TON', 'BTC', 'ETH', 'USDT', 'USDC', 'SOL'];\n }\n\n getAvailableTimeframes(): BacktestTimeframe[] {\n return ['1m', '5m', '15m', '1h', '4h', '1d'];\n }\n\n validateConfig(\n config: MarketplaceBacktestConfig\n ): { valid: boolean; errors: string[] } {\n const errors: string[] = [];\n\n if (!config.strategyId) {\n errors.push('Strategy ID is required');\n }\n\n if (!config.asset) {\n errors.push('Asset is required');\n }\n\n if (!this.getAvailableTimeframes().includes(config.timeframe)) {\n errors.push(`Invalid timeframe: ${config.timeframe}`);\n }\n\n if (!config.startDate || !(config.startDate instanceof Date)) {\n errors.push('Valid start date is required');\n }\n\n if (!config.endDate || !(config.endDate instanceof Date)) {\n errors.push('Valid end date is required');\n }\n\n if (config.startDate && config.endDate && config.startDate >= config.endDate) {\n errors.push('Start date must be before end date');\n }\n\n if (!config.initialCapital || config.initialCapital <= 0) {\n errors.push('Initial capital must be positive');\n }\n\n if (config.initialCapital && config.initialCapital < 100) {\n errors.push('Minimum initial capital is $100');\n }\n\n return { valid: errors.length === 0, errors };\n }\n\n // ============================================================================\n // Private Helpers\n // ============================================================================\n\n private buildSummary(\n result: BacktestRunResult,\n strategy: MarketplaceStrategyListing,\n config: MarketplaceBacktestConfig\n ): BacktestResultSummary {\n const performance = result.performance;\n const riskEval = result.riskEvaluation;\n\n // Format period string\n const startMonth = config.startDate.toLocaleString('en-US', { month: 'short' });\n const startYear = config.startDate.getFullYear();\n const endMonth = config.endDate.toLocaleString('en-US', { month: 'short' });\n const endYear = config.endDate.getFullYear();\n const period =\n startYear === endYear\n ? `${startMonth} - ${endMonth} ${endYear}`\n : `${startMonth} ${startYear} - ${endMonth} ${endYear}`;\n\n // Build equity curve for charting\n const equityCurve = result.equityCurve.map((point) => ({\n timestamp: point.timestamp,\n value: point.equity,\n }));\n\n // Build trade markers for charting\n const tradeMarkers = result.orders\n .filter((o) => o.status === 'filled')\n .map((o) => ({\n timestamp: o.timestamp,\n type: o.side as 'buy' | 'sell',\n price: o.executedPrice,\n amount: o.filledAmount,\n }));\n\n return {\n backtestId: result.id,\n strategyId: config.strategyId,\n strategyName: strategy.name,\n asset: config.asset,\n period,\n initialCapital: config.initialCapital,\n finalValue: performance?.summary.capitalEnd ?? config.initialCapital,\n totalReturn: performance?.summary.totalReturn ?? 0,\n maxDrawdown: performance?.risk.maxDrawdown ?? 0,\n totalTrades: performance?.trades.totalTrades ?? 0,\n winRate: performance?.trades.winRate ?? 0,\n sharpeRatio: performance?.risk.sharpeRatio ?? 0,\n profitFactor: performance?.trades.profitFactor ?? 0,\n riskGrade: riskEval?.riskGrade ?? 'C',\n durationMs: result.durationMs ?? 0,\n equityCurve,\n tradeMarkers,\n };\n }\n\n private getInitialPrice(asset: string): number {\n const prices: Record<string, number> = {\n TON: 5.0,\n BTC: 65000,\n ETH: 3500,\n USDT: 1.0,\n USDC: 1.0,\n SOL: 175,\n };\n return prices[asset] ?? 1.0;\n }\n\n private getVolatility(strategy: MarketplaceStrategyListing): number {\n // Higher risk strategies should see higher volatility in simulation\n switch (strategy.riskLevel) {\n case 'low':\n return 0.02;\n case 'medium':\n return 0.035;\n case 'high':\n return 0.05;\n default:\n return 0.03;\n }\n }\n\n private getDrift(strategy: MarketplaceStrategyListing): number {\n // Slight upward drift for realistic simulation\n return 0.0003;\n }\n}\n\n// ============================================================================\n// Factory Functions\n// ============================================================================\n\n/**\n * Create a new marketplace backtester instance\n */\nexport function createMarketplaceBacktester(\n framework?: BacktestingFramework,\n marketplace?: DefaultStrategyMarketplace\n): DefaultMarketplaceBacktester {\n return new DefaultMarketplaceBacktester(framework, marketplace);\n}\n\n// ============================================================================\n// CLI Interface\n// ============================================================================\n\n/**\n * CLI backtest configuration parsed from command line\n */\nexport interface CLIBacktestConfig {\n strategyName: string;\n asset: string;\n startDate: string;\n endDate: string;\n initialCapital?: number;\n timeframe?: BacktestTimeframe;\n}\n\n/**\n * Parse CLI arguments for backtest command\n * Usage: npm run backtest <strategy> <asset> <start-date> <end-date> [options]\n */\nexport function parseCLIBacktestArgs(args: string[]): CLIBacktestConfig | null {\n if (args.length < 4) {\n return null;\n }\n\n const [strategyName, asset, startDate, endDate, ...rest] = args;\n\n const config: CLIBacktestConfig = {\n strategyName,\n asset: asset.toUpperCase(),\n startDate,\n endDate,\n };\n\n // Parse optional arguments\n for (let i = 0; i < rest.length; i += 2) {\n const flag = rest[i];\n const value = rest[i + 1];\n\n if (flag === '--capital' && value) {\n config.initialCapital = parseFloat(value);\n } else if (flag === '--timeframe' && value) {\n config.timeframe = value as BacktestTimeframe;\n }\n }\n\n return config;\n}\n\n/**\n * Run backtest from CLI configuration\n */\nexport async function runCLIBacktest(\n config: CLIBacktestConfig\n): Promise<BacktestResultSummary> {\n const backtester = createMarketplaceBacktester();\n\n // Find strategy by name\n const marketplace = createStrategyMarketplace();\n const strategies = await marketplace.listStrategies({\n search: config.strategyName,\n limit: 1,\n });\n\n if (strategies.length === 0) {\n throw new Error(`Strategy not found: ${config.strategyName}`);\n }\n\n const strategy = strategies[0];\n\n const result = await backtester.runBacktest({\n strategyId: strategy.id,\n asset: config.asset,\n timeframe: config.timeframe ?? '1h',\n startDate: new Date(config.startDate),\n endDate: new Date(config.endDate),\n initialCapital: config.initialCapital ?? 10000,\n });\n\n return result.summary;\n}\n\n/**\n * Format backtest result for CLI output\n */\nexport function formatCLIBacktestResult(summary: BacktestResultSummary): string {\n const lines = [\n '',\n '═══════════════════════════════════════════════════════════',\n ` BACKTEST RESULTS: ${summary.strategyName}`,\n '═══════════════════════════════════════════════════════════',\n '',\n ` Asset: ${summary.asset}`,\n ` Period: ${summary.period}`,\n ` Initial Capital: $${summary.initialCapital.toLocaleString()}`,\n '',\n ' PERFORMANCE',\n ' ─────────────────────────────────────────────────────────',\n ` Final Value: $${summary.finalValue.toLocaleString(undefined, { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`,\n ` Total Return: ${summary.totalReturn >= 0 ? '+' : ''}${summary.totalReturn.toFixed(2)}%`,\n ` Max Drawdown: ${summary.maxDrawdown.toFixed(2)}%`,\n '',\n ' TRADING STATISTICS',\n ' ─────────────────────────────────────────────────────────',\n ` Total Trades: ${summary.totalTrades}`,\n ` Win Rate: ${summary.winRate.toFixed(1)}%`,\n ` Profit Factor: ${summary.profitFactor.toFixed(2)}`,\n '',\n ' RISK METRICS',\n ' ─────────────────────────────────────────────────────────',\n ` Sharpe Ratio: ${summary.sharpeRatio.toFixed(2)}`,\n ` Risk Grade: ${summary.riskGrade}`,\n '',\n ` Backtest completed in ${summary.durationMs}ms`,\n '═══════════════════════════════════════════════════════════',\n '',\n ];\n\n return lines.join('\\n');\n}\n\nexport default DefaultMarketplaceBacktester;\n" | |
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| "content": "/**\n * TONAIAgent - Strategy Marketplace Backtesting Integration\n *\n * Connects the Strategy Marketplace with the Backtesting Engine,\n * enabling users to evaluate strategy performance using historical\n * market data before deployment.\n *\n * Issue #202: Strategy Backtesting Engine\n *\n * Features:\n * - Run backtests on marketplace strategies\n * - Configure backtest parameters (asset, timeframe, capital, dates)\n * - View performance metrics (ROI, drawdown, win rate, Sharpe ratio)\n * - Compare strategy performance across different market conditions\n *\n * @example\n * ```typescript\n * import {\n * createMarketplaceBacktester,\n * BacktestConfig,\n * } from '@tonaiagent/core/strategy-marketplace';\n *\n * const backtester = createMarketplaceBacktester();\n *\n * // Run backtest on a marketplace strategy\n * const result = await backtester.runBacktest({\n * strategyId: 'momentum-trader',\n * asset: 'TON',\n * timeframe: '1h',\n * startDate: new Date('2024-01-01'),\n * endDate: new Date('2024-06-30'),\n * initialCapital: 10000,\n * });\n *\n * console.log(`ROI: ${result.performance.totalReturn}%`);\n * console.log(`Max Drawdown: ${result.performance.maxDrawdown}%`);\n * console.log(`Sharpe Ratio: ${result.performance.sharpeRatio}`);\n * ```\n */\n\nimport {\n createBacktestingFramework,\n BacktestingFramework,\n BacktestRunConfig,\n BacktestRunResult,\n BacktestStrategySpec,\n DataGranularity,\n OHLCVCandle,\n PortfolioState,\n PlaceOrderRequest,\n SimulatedOrder,\n PerformanceReport,\n RiskEvaluationResult,\n BacktestReport,\n} from '../backtesting';\n\nimport {\n MarketplaceStrategyListing,\n createStrategyMarketplace,\n DefaultStrategyMarketplace,\n} from './index';\n\n// ============================================================================\n// Backtest Configuration Types\n// ============================================================================\n\n/**\n * Supported timeframes for backtesting\n */\nexport type BacktestTimeframe = '1m' | '5m' | '15m' | '1h' | '4h' | '1d';\n\n/**\n * Backtest configuration for a marketplace strategy\n */\nexport interface MarketplaceBacktestConfig {\n /** Strategy ID from the marketplace */\n strategyId: string;\n /** Asset to backtest (e.g., 'TON', 'BTC', 'ETH') */\n asset: string;\n /** Trading pair quote currency (default: 'USDT') */\n quoteCurrency?: string;\n /** Candle timeframe */\n timeframe: BacktestTimeframe;\n /** Backtest start date */\n startDate: Date;\n /** Backtest end date */\n endDate: Date;\n /** Initial capital in USD */\n initialCapital: number;\n /** Trading fee percentage (default: 0.1%) */\n tradingFeePercent?: number;\n /** Slippage in basis points (default: 10) */\n slippageBps?: number;\n /** Enable risk evaluation (default: true) */\n enableRiskEvaluation?: boolean;\n /** Enable Monte Carlo analysis (default: false) */\n enableMonteCarlo?: boolean;\n /** Number of Monte Carlo simulations */\n monteCarloSimulations?: number;\n}\n\n/**\n * Summary of backtest results for UI display\n */\nexport interface BacktestResultSummary {\n /** Backtest ID */\n backtestId: string;\n /** Strategy ID */\n strategyId: string;\n /** Strategy name */\n strategyName: string;\n /** Asset tested */\n asset: string;\n /** Period description (e.g., \"Jan 2024 - Jun 2024\") */\n period: string;\n /** Initial capital */\n initialCapital: number;\n /** Final portfolio value */\n finalValue: number;\n /** Total ROI percentage */\n totalReturn: number;\n /** Maximum drawdown percentage */\n maxDrawdown: number;\n /** Total number of trades */\n totalTrades: number;\n /** Win rate percentage */\n winRate: number;\n /** Sharpe ratio */\n sharpeRatio: number;\n /** Profit factor */\n profitFactor: number;\n /** Risk grade (A-F) */\n riskGrade: string;\n /** Backtest duration in milliseconds */\n durationMs: number;\n /** Equity curve data points for charting */\n equityCurve: Array<{ timestamp: Date; value: number }>;\n /** Trade markers for charting */\n tradeMarkers: Array<{\n timestamp: Date;\n type: 'buy' | 'sell';\n price: number;\n amount: number;\n }>;\n}\n\n/**\n * Full backtest result with all details\n */\nexport interface MarketplaceBacktestResult {\n /** Summary for quick display */\n summary: BacktestResultSummary;\n /** Full backtest run result */\n fullResult: BacktestRunResult;\n /** Strategy listing info */\n strategy: MarketplaceStrategyListing;\n /** Configuration used */\n config: MarketplaceBacktestConfig;\n /** Warnings or notes */\n warnings: string[];\n}\n\n/**\n * Backtest comparison result\n */\nexport interface BacktestComparisonResult {\n /** Strategies compared */\n strategies: Array<{\n strategyId: string;\n strategyName: string;\n result: BacktestResultSummary;\n }>;\n /** Best performer by ROI */\n bestByRoi: string;\n /** Best performer by risk-adjusted returns */\n bestByRiskAdjusted: string;\n /** Lowest drawdown strategy */\n lowestDrawdown: string;\n /** Highest win rate strategy */\n highestWinRate: string;\n}\n\n// ============================================================================\n// Strategy Execution Adapters\n// ============================================================================\n\n/**\n * Creates a backtest strategy spec from a marketplace strategy.\n * This adapts marketplace strategies to the backtesting framework.\n */\nfunction createStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n // Map marketplace strategy categories to execution logic\n switch (strategy.category) {\n case 'momentum':\n return createMomentumStrategySpec(strategy, asset);\n case 'mean_reversion':\n return createMeanReversionStrategySpec(strategy, asset);\n case 'trend_following':\n return createTrendFollowingStrategySpec(strategy, asset);\n case 'grid_trading':\n return createGridTradingStrategySpec(strategy, asset);\n case 'arbitrage':\n return createArbitrageStrategySpec(strategy, asset);\n case 'yield_farming':\n return createYieldFarmingStrategySpec(strategy, asset);\n default:\n return createDefaultStrategySpec(strategy, asset);\n }\n}\n\n/**\n * Momentum strategy: Buy when short MA crosses above long MA\n */\nfunction createMomentumStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const shortPeriod = 10;\n const longPeriod = 20;\n const priceHistory: number[] = [];\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > longPeriod) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < longPeriod) return;\n\n const shortMA =\n priceHistory.slice(-shortPeriod).reduce((a, b) => a + b, 0) / shortPeriod;\n const longMA = priceHistory.reduce((a, b) => a + b, 0) / longPeriod;\n const prevShortMA =\n priceHistory.slice(-shortPeriod - 1, -1).reduce((a, b) => a + b, 0) /\n shortPeriod;\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n // Buy signal: short MA crosses above long MA\n if (shortMA > longMA && prevShortMA <= longMA && portfolio.cash > 100) {\n const tradeAmount = portfolio.cash * 0.95; // Use 95% of available cash\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Sell signal: short MA crosses below long MA\n else if (shortMA < longMA && prevShortMA >= longMA && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n },\n };\n}\n\n/**\n * Mean reversion strategy: Buy when price drops below lower Bollinger Band\n */\nfunction createMeanReversionStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const period = 20;\n const stdMultiplier = 2;\n const priceHistory: number[] = [];\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > period) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < period) return;\n\n const mean = priceHistory.reduce((a, b) => a + b, 0) / period;\n const variance =\n priceHistory.reduce((sum, p) => sum + Math.pow(p - mean, 2), 0) / period;\n const stdDev = Math.sqrt(variance);\n\n const upperBand = mean + stdMultiplier * stdDev;\n const lowerBand = mean - stdMultiplier * stdDev;\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n // Buy when price touches lower band (oversold)\n if (candle.close <= lowerBand && portfolio.cash > 100) {\n const tradeAmount = portfolio.cash * 0.5; // Use 50% for mean reversion\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Sell when price reaches upper band (overbought)\n else if (candle.close >= upperBand && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n // Take profit at mean\n else if (candle.close >= mean && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 50,\n amountType: 'percent',\n });\n }\n },\n };\n}\n\n/**\n * Trend following strategy: Follow the trend with trailing stops\n */\nfunction createTrendFollowingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const period = 14;\n const priceHistory: number[] = [];\n let entryPrice = 0;\n let highSinceEntry = 0;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n priceHistory.push(candle.close);\n if (priceHistory.length > period) {\n priceHistory.shift();\n }\n\n if (priceHistory.length < period) return;\n\n const high = Math.max(...priceHistory);\n const low = Math.min(...priceHistory);\n const range = high - low;\n const momentum = (candle.close - low) / (range || 1);\n\n const hasPosition = portfolio.positions.has(asset);\n const positionSize = hasPosition ? portfolio.positions.get(asset)!.amount : 0;\n\n if (hasPosition) {\n highSinceEntry = Math.max(highSinceEntry, candle.close);\n }\n\n // Buy when strong upward momentum\n if (momentum > 0.8 && !hasPosition && portfolio.cash > 100) {\n entryPrice = candle.close;\n highSinceEntry = candle.close;\n const tradeAmount = portfolio.cash * 0.9;\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n }\n // Exit on trailing stop (8% from high)\n else if (\n hasPosition &&\n candle.close < highSinceEntry * 0.92 &&\n positionSize > 0\n ) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n entryPrice = 0;\n highSinceEntry = 0;\n }\n // Exit on momentum reversal\n else if (momentum < 0.2 && positionSize > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n entryPrice = 0;\n highSinceEntry = 0;\n }\n },\n };\n}\n\n/**\n * Grid trading strategy: Place orders at regular price intervals\n */\nfunction createGridTradingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const gridLevels = 10;\n const gridSpacing = 0.02; // 2% between levels\n let gridCenter = 0;\n let gridInitialized = false;\n const filledLevels = new Set<number>();\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n // Initialize grid around first candle price\n if (!gridInitialized) {\n gridCenter = candle.close;\n gridInitialized = true;\n }\n\n const positionValue = portfolio.positions.has(asset)\n ? portfolio.positions.get(asset)!.positionValue\n : 0;\n const totalValue = portfolio.cash + positionValue;\n const gridAmount = totalValue / gridLevels;\n\n // Check each grid level\n for (let i = -gridLevels / 2; i <= gridLevels / 2; i++) {\n const levelPrice = gridCenter * (1 + i * gridSpacing);\n const levelKey = Math.round(levelPrice * 100);\n\n // Buy at lower levels\n if (\n i < 0 &&\n candle.low <= levelPrice &&\n !filledLevels.has(levelKey) &&\n portfolio.cash >= gridAmount\n ) {\n filledLevels.add(levelKey);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: gridAmount,\n amountType: 'usd',\n });\n }\n // Sell at higher levels\n else if (\n i > 0 &&\n candle.high >= levelPrice &&\n filledLevels.has(Math.round(gridCenter * (1 + (i - 1) * gridSpacing) * 100))\n ) {\n const sellLevelKey = Math.round(\n gridCenter * (1 + (i - 1) * gridSpacing) * 100\n );\n if (filledLevels.has(sellLevelKey)) {\n filledLevels.delete(sellLevelKey);\n const position = portfolio.positions.get(asset);\n if (position && position.amount > 0) {\n const sellAmount = Math.min(\n gridAmount / candle.close,\n position.amount\n );\n if (sellAmount > 0) {\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: sellAmount,\n amountType: 'units',\n });\n }\n }\n }\n }\n }\n },\n };\n}\n\n/**\n * Arbitrage strategy: Simulates spread capture (simplified)\n */\nfunction createArbitrageStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n const spreadThreshold = 0.005; // 0.5% minimum spread\n let lastPrice = 0;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n if (lastPrice === 0) {\n lastPrice = candle.close;\n return;\n }\n\n const priceChange = Math.abs(candle.close - lastPrice) / lastPrice;\n const hasPosition = portfolio.positions.has(asset);\n\n // Capture spread opportunities\n if (priceChange > spreadThreshold) {\n if (candle.close < lastPrice && portfolio.cash > 100) {\n // Price dropped - buy opportunity\n const tradeAmount = Math.min(portfolio.cash * 0.3, 1000);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: tradeAmount,\n amountType: 'usd',\n });\n } else if (candle.close > lastPrice && hasPosition) {\n // Price increased - sell opportunity\n await placeOrder({\n asset,\n side: 'sell',\n type: 'market',\n amount: 100,\n amountType: 'percent',\n });\n }\n }\n\n lastPrice = candle.close;\n },\n };\n}\n\n/**\n * Yield farming strategy: Simulates DCA with yield optimization\n */\nfunction createYieldFarmingStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n let lastBuyTime = 0;\n const buyInterval = 7 * 24 * 60 * 60 * 1000; // Weekly DCA\n const yieldRate = 0.0001; // Simulated daily yield (0.01%)\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n const currentTime = candle.timestamp.getTime();\n\n // Weekly DCA buy\n if (\n currentTime - lastBuyTime >= buyInterval &&\n portfolio.cash > 100\n ) {\n lastBuyTime = currentTime;\n const dcaAmount = Math.min(portfolio.cash * 0.1, 500);\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: dcaAmount,\n amountType: 'usd',\n });\n }\n\n // Yield is simulated by holding positions (no explicit action needed)\n // The performance calculation will show compound growth\n },\n };\n}\n\n/**\n * Default strategy: Simple buy and hold\n */\nfunction createDefaultStrategySpec(\n strategy: MarketplaceStrategyListing,\n asset: string\n): BacktestStrategySpec {\n let hasBought = false;\n\n return {\n assets: [asset],\n onCandle: async (\n candle: OHLCVCandle,\n portfolio: Readonly<PortfolioState>,\n placeOrder: (order: PlaceOrderRequest) => Promise<SimulatedOrder>\n ) => {\n // Buy once at start\n if (!hasBought && portfolio.cash > 100) {\n hasBought = true;\n await placeOrder({\n asset,\n side: 'buy',\n type: 'market',\n amount: portfolio.cash * 0.95,\n amountType: 'usd',\n });\n }\n },\n };\n}\n\n// ============================================================================\n// Marketplace Backtester Interface\n// ============================================================================\n\n/**\n * Interface for the marketplace backtesting service\n */\nexport interface MarketplaceBacktester {\n /** Run a backtest on a marketplace strategy */\n runBacktest(config: MarketplaceBacktestConfig): Promise<MarketplaceBacktestResult>;\n\n /** Get a previously run backtest result */\n getBacktestResult(backtestId: string): MarketplaceBacktestResult | undefined;\n\n /** Get all backtest results for a strategy */\n getStrategyBacktests(strategyId: string): MarketplaceBacktestResult[];\n\n /** Get all backtest results */\n getAllBacktests(): MarketplaceBacktestResult[];\n\n /** Compare multiple strategies with the same configuration */\n compareStrategies(\n strategyIds: string[],\n config: Omit<MarketplaceBacktestConfig, 'strategyId'>\n ): Promise<BacktestComparisonResult>;\n\n /** Get available assets for backtesting */\n getAvailableAssets(): string[];\n\n /** Get available timeframes */\n getAvailableTimeframes(): BacktestTimeframe[];\n\n /** Validate backtest configuration */\n validateConfig(config: MarketplaceBacktestConfig): { valid: boolean; errors: string[] };\n}\n\n// ============================================================================\n// Default Marketplace Backtester Implementation\n// ============================================================================\n\nexport class DefaultMarketplaceBacktester implements MarketplaceBacktester {\n private readonly framework: BacktestingFramework;\n private readonly marketplace: DefaultStrategyMarketplace;\n private readonly results: Map<string, MarketplaceBacktestResult> = new Map();\n\n constructor(\n framework?: BacktestingFramework,\n marketplace?: DefaultStrategyMarketplace\n ) {\n this.framework = framework ?? createBacktestingFramework();\n this.marketplace = marketplace ?? createStrategyMarketplace();\n }\n\n async runBacktest(\n config: MarketplaceBacktestConfig\n ): Promise<MarketplaceBacktestResult> {\n // Validate configuration\n const validation = this.validateConfig(config);\n if (!validation.valid) {\n throw new Error(`Invalid backtest configuration: ${validation.errors.join(', ')}`);\n }\n\n // Get strategy from marketplace\n const strategy = await this.marketplace.getStrategy(config.strategyId);\n if (!strategy) {\n throw new Error(`Strategy not found: ${config.strategyId}`);\n }\n\n // Create strategy spec\n const strategySpec = createStrategySpec(strategy, config.asset);\n\n // Build backtest run configuration\n const runConfig: BacktestRunConfig = {\n strategyId: config.strategyId,\n strategyName: strategy.name,\n strategySpec,\n dataConfig: {\n type: 'synthetic',\n assets: [config.asset],\n startDate: config.startDate,\n endDate: config.endDate,\n granularity: config.timeframe as DataGranularity,\n syntheticConfig: {\n initialPrices: { [config.asset]: this.getInitialPrice(config.asset) },\n volatility: this.getVolatility(strategy),\n drift: this.getDrift(strategy),\n seed: Date.now(),\n },\n },\n simulationConfig: {\n initialCapital: config.initialCapital,\n currency: config.quoteCurrency ?? 'USD',\n slippageModel: {\n type: 'fixed',\n baseSlippage: config.slippageBps ?? 10,\n },\n feeModel: {\n tradingFeePercent: config.tradingFeePercent ?? 0.1,\n gasCostUsd: 0.05,\n },\n fillModel: {\n type: 'immediate',\n },\n },\n riskEvaluation: config.enableRiskEvaluation ?? true,\n monteCarlo: config.enableMonteCarlo\n ? {\n enabled: true,\n simulations: config.monteCarloSimulations ?? 1000,\n confidenceLevel: 0.95,\n }\n : undefined,\n generateReport: true,\n };\n\n // Run backtest\n const fullResult = await this.framework.run(runConfig);\n\n // Build summary\n const summary = this.buildSummary(fullResult, strategy, config);\n\n // Create result\n const result: MarketplaceBacktestResult = {\n summary,\n fullResult,\n strategy,\n config,\n warnings: fullResult.warnings,\n };\n\n // Store result\n this.results.set(fullResult.id, result);\n\n return result;\n }\n\n getBacktestResult(backtestId: string): MarketplaceBacktestResult | undefined {\n return this.results.get(backtestId);\n }\n\n getStrategyBacktests(strategyId: string): MarketplaceBacktestResult[] {\n return Array.from(this.results.values()).filter(\n (r) => r.config.strategyId === strategyId\n );\n }\n\n getAllBacktests(): MarketplaceBacktestResult[] {\n return Array.from(this.results.values()).sort(\n (a, b) =>\n b.fullResult.startedAt.getTime() - a.fullResult.startedAt.getTime()\n );\n }\n\n async compareStrategies(\n strategyIds: string[],\n config: Omit<MarketplaceBacktestConfig, 'strategyId'>\n ): Promise<BacktestComparisonResult> {\n const results = await Promise.all(\n strategyIds.map((strategyId) =>\n this.runBacktest({ ...config, strategyId })\n )\n );\n\n const strategies = results.map((r) => ({\n strategyId: r.config.strategyId,\n strategyName: r.strategy.name,\n result: r.summary,\n }));\n\n // Find best performers\n const bestByRoi = strategies.reduce((best, curr) =>\n curr.result.totalReturn > best.result.totalReturn ? curr : best\n );\n\n const bestByRiskAdjusted = strategies.reduce((best, curr) =>\n curr.result.sharpeRatio > best.result.sharpeRatio ? curr : best\n );\n\n const lowestDrawdown = strategies.reduce((best, curr) =>\n Math.abs(curr.result.maxDrawdown) < Math.abs(best.result.maxDrawdown)\n ? curr\n : best\n );\n\n const highestWinRate = strategies.reduce((best, curr) =>\n curr.result.winRate > best.result.winRate ? curr : best\n );\n\n return {\n strategies,\n bestByRoi: bestByRoi.strategyId,\n bestByRiskAdjusted: bestByRiskAdjusted.strategyId,\n lowestDrawdown: lowestDrawdown.strategyId,\n highestWinRate: highestWinRate.strategyId,\n };\n }\n\n getAvailableAssets(): string[] {\n return ['TON', 'BTC', 'ETH', 'USDT', 'USDC', 'SOL'];\n }\n\n getAvailableTimeframes(): BacktestTimeframe[] {\n return ['1m', '5m', '15m', '1h', '4h', '1d'];\n }\n\n validateConfig(\n config: MarketplaceBacktestConfig\n ): { valid: boolean; errors: string[] } {\n const errors: string[] = [];\n\n if (!config.strategyId) {\n errors.push('Strategy ID is required');\n }\n\n if (!config.asset) {\n errors.push('Asset is required');\n }\n\n if (!this.getAvailableTimeframes().includes(config.timeframe)) {\n errors.push(`Invalid timeframe: ${config.timeframe}`);\n }\n\n if (!config.startDate || !(config.startDate instanceof Date)) {\n errors.push('Valid start date is required');\n }\n\n if (!config.endDate || !(config.endDate instanceof Date)) {\n errors.push('Valid end date is required');\n }\n\n if (config.startDate && config.endDate && config.startDate >= config.endDate) {\n errors.push('Start date must be before end date');\n }\n\n if (!config.initialCapital || config.initialCapital <= 0) {\n errors.push('Initial capital must be positive');\n }\n\n if (config.initialCapital && config.initialCapital < 100) {\n errors.push('Minimum initial capital is $100');\n }\n\n return { valid: errors.length === 0, errors };\n }\n\n // ============================================================================\n // Private Helpers\n // ============================================================================\n\n private buildSummary(\n result: BacktestRunResult,\n strategy: MarketplaceStrategyListing,\n config: MarketplaceBacktestConfig\n ): BacktestResultSummary {\n const performance = result.performance;\n const riskEval = result.riskEvaluation;\n\n // Format period string\n const startMonth = config.startDate.toLocaleString('en-US', { month: 'short' });\n const startYear = config.startDate.getFullYear();\n const endMonth = config.endDate.toLocaleString('en-US', { month: 'short' });\n const endYear = config.endDate.getFullYear();\n const period =\n startYear === endYear\n ? `${startMonth} - ${endMonth} ${endYear}`\n : `${startMonth} ${startYear} - ${endMonth} ${endYear}`;\n\n // Build equity curve for charting\n const equityCurve = result.equityCurve.map((point) => ({\n timestamp: point.timestamp,\n value: point.equity,\n }));\n\n // Build trade markers for charting\n const tradeMarkers = result.orders\n .filter((o) => o.status === 'filled')\n .map((o) => ({\n timestamp: o.timestamp,\n type: o.side as 'buy' | 'sell',\n price: o.executedPrice,\n amount: o.filledAmount,\n }));\n\n return {\n backtestId: result.id,\n strategyId: config.strategyId,\n strategyName: strategy.name,\n asset: config.asset,\n period,\n initialCapital: config.initialCapital,\n finalValue: performance?.summary.capitalEnd ?? config.initialCapital,\n totalReturn: performance?.summary.totalReturn ?? 0,\n maxDrawdown: performance?.risk.maxDrawdown ?? 0,\n totalTrades: performance?.trades.totalTrades ?? 0,\n winRate: performance?.trades.winRate ?? 0,\n sharpeRatio: performance?.risk.sharpeRatio ?? 0,\n profitFactor: performance?.trades.profitFactor ?? 0,\n riskGrade: riskEval?.riskGrade ?? 'C',\n durationMs: result.durationMs ?? 0,\n equityCurve,\n tradeMarkers,\n };\n }\n\n private getInitialPrice(asset: string): number {\n const prices: Record<string, number> = {\n TON: 5.0,\n BTC: 65000,\n ETH: 3500,\n USDT: 1.0,\n USDC: 1.0,\n SOL: 175,\n };\n return prices[asset] ?? 1.0;\n }\n\n private getVolatility(strategy: MarketplaceStrategyListing): number {\n // Higher risk strategies should see higher volatility in simulation\n switch (strategy.riskLevel) {\n case 'low':\n return 0.02;\n case 'medium':\n return 0.035;\n case 'high':\n return 0.05;\n default:\n return 0.03;\n }\n }\n\n private getDrift(strategy: MarketplaceStrategyListing): number {\n // Slight upward drift for realistic simulation\n return 0.0003;\n }\n}\n\n// ============================================================================\n// Factory Functions\n// ============================================================================\n\n/**\n * Create a new marketplace backtester instance\n */\nexport function createMarketplaceBacktester(\n framework?: BacktestingFramework,\n marketplace?: DefaultStrategyMarketplace\n): DefaultMarketplaceBacktester {\n return new DefaultMarketplaceBacktester(framework, marketplace);\n}\n\n// ============================================================================\n// CLI Interface\n// ============================================================================\n\n/**\n * CLI backtest configuration parsed from command line\n */\nexport interface CLIBacktestConfig {\n strategyName: string;\n asset: string;\n startDate: string;\n endDate: string;\n initialCapital?: number;\n timeframe?: BacktestTimeframe;\n}\n\n/**\n * Parse CLI arguments for backtest command\n * Usage: npm run backtest <strategy> <asset> <start-date> <end-date> [options]\n */\nexport function parseCLIBacktestArgs(args: string[]): CLIBacktestConfig | null {\n if (args.length < 4) {\n return null;\n }\n\n const [strategyName, asset, startDate, endDate, ...rest] = args;\n\n const config: CLIBacktestConfig = {\n strategyName,\n asset: asset.toUpperCase(),\n startDate,\n endDate,\n };\n\n // Parse optional arguments\n for (let i = 0; i < rest.length; i += 2) {\n const flag = rest[i];\n const value = rest[i + 1];\n\n if (flag === '--capital' && value) {\n config.initialCapital = parseFloat(value);\n } else if (flag === '--timeframe' && value) {\n config.timeframe = value as BacktestTimeframe;\n }\n }\n\n return config;\n}\n\n/**\n * Run backtest from CLI configuration\n */\nexport async function runCLIBacktest(\n config: CLIBacktestConfig\n): Promise<BacktestResultSummary> {\n const backtester = createMarketplaceBacktester();\n\n // Find strategy by name\n const marketplace = createStrategyMarketplace();\n const strategies = await marketplace.listStrategies({\n search: config.strategyName,\n limit: 1,\n });\n\n if (strategies.length === 0) {\n throw new Error(`Strategy not found: ${config.strategyName}`);\n }\n\n const strategy = strategies[0];\n\n const result = await backtester.runBacktest({\n strategyId: strategy.id,\n asset: config.asset,\n timeframe: config.timeframe ?? '1h',\n startDate: new Date(config.startDate),\n endDate: new Date(config.endDate),\n initialCapital: config.initialCapital ?? 10000,\n });\n\n return result.summary;\n}\n\n/**\n * Format backtest result for CLI output\n */\nexport function formatCLIBacktestResult(summary: BacktestResultSummary): string {\n const lines = [\n '',\n '═══════════════════════════════════════════════════════════',\n ` BACKTEST RESULTS: ${summary.strategyName}`,\n '═══════════════════════════════════════════════════════════',\n '',\n ` Asset: ${summary.asset}`,\n ` Period: ${summary.period}`,\n ` Initial Capital: $${summary.initialCapital.toLocaleString()}`,\n '',\n ' PERFORMANCE',\n ' ─────────────────────────────────────────────────────────',\n ` Final Value: $${summary.finalValue.toLocaleString(undefined, { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`,\n ` Total Return: ${summary.totalReturn >= 0 ? 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| "newString": "// ============================================================================\n// Re-exports\n// ============================================================================\n\nexport { BUILTIN_STRATEGIES };\n\n// ============================================================================\n// Backtesting Integration (Issue #202)\n// ============================================================================\n\nexport {\n // Main backtester\n DefaultMarketplaceBacktester,\n createMarketplaceBacktester,\n // Types\n type BacktestTimeframe,\n type MarketplaceBacktestConfig,\n type BacktestResultSummary,\n type MarketplaceBacktestResult,\n type BacktestComparisonResult,\n type MarketplaceBacktester,\n type CLIBacktestConfig,\n // CLI utilities\n parseCLIBacktestArgs,\n runCLIBacktest,\n formatCLIBacktestResult,\n} from './backtesting-integration';\n\nexport default DefaultStrategyMarketplace;", | |
| "originalFile": "/**\n * TONAIAgent - Strategy Marketplace MVP\n *\n * Unified integration layer that connects:\n * - Strategy Engine (trading strategies)\n * - Marketplace (discovery, deployment, reputation)\n * - Agent Runtime (execution)\n *\n * This module provides:\n * - Pre-registered marketplace strategies\n * - Strategy metadata for marketplace listing\n * - Strategy deployment to agents\n * - Performance tracking integration\n *\n * @example\n * ```typescript\n * import {\n * createStrategyMarketplace,\n * MarketplaceStrategyType,\n * } from '@tonaiagent/core/strategy-marketplace';\n *\n * const marketplace = createStrategyMarketplace();\n *\n * // List available strategies\n * const strategies = await marketplace.listStrategies();\n *\n * // Deploy a strategy to an agent\n * const agent = await marketplace.deployStrategy({\n * strategyId: 'momentum-trader',\n * userId: 'user_123',\n * capitalTON: 100,\n * simulationMode: true,\n * });\n * ```\n */\n\n// ============================================================================\n// Types\n// ============================================================================\n\nexport type MarketplaceStrategyCategory =\n | 'momentum'\n | 'mean_reversion'\n | 'arbitrage'\n | 'grid_trading'\n | 'yield_farming'\n | 'trend_following'\n | 'experimental';\n\nexport type MarketplaceRiskLevel = 'low' | 'medium' | 'high';\n\n/**\n * Strategy metadata for marketplace listing\n */\nexport interface MarketplaceStrategyListing {\n /** Unique strategy ID */\n id: string;\n /** Display name */\n name: string;\n /** Strategy description */\n description: string;\n /** Strategy author/creator */\n author: string;\n /** Author ID */\n authorId: string;\n /** Strategy category for filtering */\n category: MarketplaceStrategyCategory;\n /** Risk level assessment */\n riskLevel: MarketplaceRiskLevel;\n /** Assets this strategy supports */\n supportedAssets: string[];\n /** Semantic version */\n version: string;\n /** Whether the strategy is verified */\n verified: boolean;\n /** 30-day ROI percentage */\n roi30d: number;\n /** Win rate percentage */\n winRate: number;\n /** Total trades executed */\n totalTrades: number;\n /** Maximum drawdown percentage */\n maxDrawdown: number;\n /** Sharpe ratio */\n sharpeRatio: number;\n /** Reputation score (0-10) */\n reputationScore: number;\n /** Number of active users */\n activeUsers: number;\n /** Minimum capital requirement in TON */\n minCapital: number;\n /** When the strategy was published */\n publishedAt: Date;\n /** Tags for search */\n tags: string[];\n}\n\n/**\n * Input for deploying a strategy\n */\nexport interface DeployMarketplaceStrategyInput {\n /** Strategy ID to deploy */\n strategyId: string;\n /** User deploying the strategy */\n userId: string;\n /** Capital to allocate in TON */\n capitalTON: number;\n /** Whether to run in simulation mode */\n simulationMode?: boolean;\n /** Custom agent name */\n agentName?: string;\n /** Custom strategy parameters */\n parameters?: Record<string, unknown>;\n}\n\n/**\n * Deployed strategy agent result\n */\nexport interface MarketplaceDeployedAgent {\n /** Unique agent ID */\n agentId: string;\n /** Strategy ID being executed */\n strategyId: string;\n /** Strategy name */\n strategyName: string;\n /** Owner user ID */\n userId: string;\n /** Agent name */\n name: string;\n /** Allocated capital in TON */\n capitalAllocated: number;\n /** Whether running in simulation */\n simulationMode: boolean;\n /** Agent status */\n status: 'running' | 'paused' | 'stopped' | 'error';\n /** When deployed */\n deployedAt: Date;\n}\n\n/**\n * Filter options for listing strategies\n */\nexport interface MarketplaceStrategyFilter {\n /** Filter by category */\n category?: MarketplaceStrategyCategory;\n /** Filter by risk level */\n riskLevel?: MarketplaceRiskLevel;\n /** Filter by minimum ROI */\n minRoi?: number;\n /** Filter by maximum drawdown */\n maxDrawdown?: number;\n /** Text search query */\n search?: string;\n /** Sort field */\n sortBy?: 'roi' | 'sharpe' | 'popularity' | 'newest';\n /** Sort order */\n sortOrder?: 'asc' | 'desc';\n /** Limit results */\n limit?: number;\n /** Offset for pagination */\n offset?: number;\n}\n\n/**\n * Strategy Marketplace interface\n */\nexport interface StrategyMarketplace {\n /** List available strategies with optional filters */\n listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]>;\n /** Get a specific strategy by ID */\n getStrategy(strategyId: string): Promise<MarketplaceStrategyListing | null>;\n /** Get top strategies by a metric */\n getTopStrategies(\n metric: 'roi' | 'sharpe' | 'popularity',\n limit?: number\n ): Promise<MarketplaceStrategyListing[]>;\n /** Deploy a strategy to create an agent */\n deployStrategy(input: DeployMarketplaceStrategyInput): Promise<MarketplaceDeployedAgent>;\n /** Stop a deployed agent */\n stopAgent(agentId: string): Promise<void>;\n /** Get deployed agents for a user */\n getUserAgents(userId: string): Promise<MarketplaceDeployedAgent[]>;\n}\n\n// ============================================================================\n// Built-in Marketplace Strategies\n// ============================================================================\n\n/**\n * Pre-configured marketplace strategies\n * These represent the initial strategies available in the marketplace MVP\n */\nconst BUILTIN_STRATEGIES: MarketplaceStrategyListing[] = [\n {\n id: 'momentum-trader',\n name: 'Momentum Trader',\n description:\n 'Captures short-term price momentum using moving average crossovers and volume confirmation. ' +\n 'Ideal for trending markets with clear directional moves.',\n author: 'TONAIAgent',\n authorId: 'platform',\n category: 'momentum',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '1.0.0',\n verified: true,\n roi30d: 8.2,\n winRate: 68.5,\n totalTrades: 124,\n maxDrawdown: 5.8,\n sharpeRatio: 1.82,\n reputationScore: 8.7,\n activeUsers: 342,\n minCapital: 10,\n publishedAt: new Date('2026-02-15T10:30:00Z'),\n tags: ['momentum', 'trend', 'moving-average', 'beginner-friendly'],\n },\n {\n id: 'mean-reversion-pro',\n name: 'Mean Reversion Pro',\n description:\n 'Exploits price mean reversion patterns using statistical analysis and Bollinger Bands. ' +\n 'Best for range-bound markets with predictable oscillations.',\n author: 'QuantLab',\n authorId: 'creator_quantlab',\n category: 'mean_reversion',\n riskLevel: 'low',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '2.1.0',\n verified: true,\n roi30d: 5.4,\n winRate: 72.1,\n totalTrades: 89,\n maxDrawdown: 3.2,\n sharpeRatio: 2.14,\n reputationScore: 9.1,\n activeUsers: 518,\n minCapital: 50,\n publishedAt: new Date('2026-01-20T08:15:00Z'),\n tags: ['mean-reversion', 'bollinger', 'low-risk', 'statistical'],\n },\n {\n id: 'dex-arbitrage-hunter',\n name: 'DEX Arbitrage Hunter',\n description:\n 'Identifies and executes arbitrage opportunities across TON DEX protocols (STON.fi, DeDust). ' +\n 'Requires quick execution and higher capital for profitability.',\n author: 'ArbitrageKing',\n authorId: 'creator_arbking',\n category: 'arbitrage',\n riskLevel: 'high',\n supportedAssets: ['TON', 'USDT', 'USDC'],\n version: '1.2.0',\n verified: true,\n roi30d: 12.7,\n winRate: 61.3,\n totalTrades: 456,\n maxDrawdown: 8.5,\n sharpeRatio: 1.45,\n reputationScore: 7.8,\n activeUsers: 156,\n minCapital: 100,\n publishedAt: new Date('2026-02-01T14:45:00Z'),\n tags: ['arbitrage', 'dex', 'high-frequency', 'advanced'],\n },\n {\n id: 'grid-trading-bot',\n name: 'Grid Trading Bot',\n description:\n 'Automated grid trading strategy for ranging markets. Places buy and sell orders at ' +\n 'predefined price levels to profit from price oscillations.',\n author: 'GridMaster',\n authorId: 'creator_gridmaster',\n category: 'grid_trading',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH', 'SOL'],\n version: '1.5.0',\n verified: true,\n roi30d: 6.8,\n winRate: 65.2,\n totalTrades: 312,\n maxDrawdown: 4.7,\n sharpeRatio: 1.68,\n reputationScore: 8.2,\n activeUsers: 289,\n minCapital: 25,\n publishedAt: new Date('2026-02-10T11:20:00Z'),\n tags: ['grid', 'range-trading', 'automated', 'passive'],\n },\n {\n id: 'yield-optimizer',\n name: 'Yield Optimizer',\n description:\n 'Maximizes DeFi yields by automatically rebalancing across TON yield protocols. ' +\n 'Focuses on stable returns with minimal active management.',\n author: 'YieldHunter',\n authorId: 'creator_yieldhunter',\n category: 'yield_farming',\n riskLevel: 'low',\n supportedAssets: ['TON', 'USDT', 'USDC'],\n version: '3.0.0',\n verified: true,\n roi30d: 4.2,\n winRate: 85.6,\n totalTrades: 67,\n maxDrawdown: 2.1,\n sharpeRatio: 2.45,\n reputationScore: 9.4,\n activeUsers: 723,\n minCapital: 100,\n publishedAt: new Date('2025-12-05T09:00:00Z'),\n tags: ['yield', 'defi', 'passive', 'stable'],\n },\n {\n id: 'trend-following-alpha',\n name: 'Trend Following Alpha',\n description:\n 'Multi-timeframe trend following strategy with dynamic position sizing. ' +\n 'Adapts to market conditions using volatility-adjusted entry/exit rules.',\n author: 'AlphaTrader',\n authorId: 'creator_alphatrader',\n category: 'trend_following',\n riskLevel: 'medium',\n supportedAssets: ['TON', 'BTC', 'ETH'],\n version: '1.1.0',\n verified: false,\n roi30d: 9.5,\n winRate: 58.9,\n totalTrades: 78,\n maxDrawdown: 7.2,\n sharpeRatio: 1.52,\n reputationScore: 7.2,\n activeUsers: 98,\n minCapital: 20,\n publishedAt: new Date('2026-03-01T16:30:00Z'),\n tags: ['trend', 'multi-timeframe', 'adaptive', 'intermediate'],\n },\n];\n\n// ============================================================================\n// Default Strategy Marketplace Implementation\n// ============================================================================\n\nexport class DefaultStrategyMarketplace implements StrategyMarketplace {\n private readonly strategies: Map<string, MarketplaceStrategyListing> = new Map();\n private readonly deployedAgents: Map<string, MarketplaceDeployedAgent> = new Map();\n\n constructor() {\n // Initialize with built-in strategies\n for (const strategy of BUILTIN_STRATEGIES) {\n this.strategies.set(strategy.id, strategy);\n }\n }\n\n async listStrategies(filter?: MarketplaceStrategyFilter): Promise<MarketplaceStrategyListing[]> {\n let results = Array.from(this.strategies.values());\n\n if (filter) {\n // Category filter\n if (filter.category) {\n results = results.filter((s) => s.category === filter.category);\n }\n\n // Risk level filter\n if (filter.riskLevel) {\n results = results.filter((s) => s.riskLevel === filter.riskLevel);\n }\n\n // Minimum ROI filter\n if (filter.minRoi !== undefined) {\n results = results.filter((s) => s.roi30d >= filter.minRoi!);\n }\n\n // Maximum drawdown filter\n if (filter.maxDrawdown !== undefined) {\n results = results.filter((s) => s.maxDrawdown <= filter.maxDrawdown!);\n }\n\n // Text search\n if (filter.search) {\n const q = filter.search.toLowerCase();\n results = results.filter(\n (s) =>\n s.name.toLowerCase().includes(q) ||\n s.description.toLowerCase().includes(q) ||\n s.author.toLowerCase().includes(q) ||\n s.tags.some((t) => t.toLowerCase().includes(q))\n );\n }\n\n // Sorting\n // sortOrder: 'desc' → -1 (descending: higher values first)\n // 'asc' → 1 (ascending: lower values first)\n // Base comparison (a - b) is ascending, multiply by -1 for descending\n const sortOrder = filter.sortOrder === 'asc' ? 1 : -1;\n switch (filter.sortBy) {\n case 'roi':\n results.sort((a, b) => (a.roi30d - b.roi30d) * sortOrder);\n break;\n case 'sharpe':\n results.sort((a, b) => (a.sharpeRatio - b.sharpeRatio) * sortOrder);\n break;\n case 'popularity':\n results.sort((a, b) => (a.activeUsers - b.activeUsers) * sortOrder);\n break;\n case 'newest':\n results.sort(\n (a, b) =>\n (a.publishedAt.getTime() - b.publishedAt.getTime()) * sortOrder\n );\n break;\n }\n\n // Pagination\n const offset = filter.offset ?? 0;\n const limit = filter.limit ?? 50;\n results = results.slice(offset, offset + limit);\n }\n\n return results;\n }\n\n async getStrategy(strategyId: string): Promise<MarketplaceStrategyListing | null> {\n return this.strategies.get(strategyId) ?? null;\n }\n\n async getTopStrategies(\n metric: 'roi' | 'sharpe' | 'popularity',\n limit = 10\n ): Promise<MarketplaceStrategyListing[]> {\n return this.listStrategies({\n sortBy: metric,\n sortOrder: 'desc',\n limit,\n });\n }\n\n async deployStrategy(\n input: DeployMarketplaceStrategyInput\n ): Promise<MarketplaceDeployedAgent> {\n const strategy = await this.getStrategy(input.strategyId);\n if (!strategy) {\n throw new Error(`Strategy not found: ${input.strategyId}`);\n }\n\n if (input.capitalTON < strategy.minCapital) {\n throw new Error(\n `Minimum capital for ${strategy.name} is ${strategy.minCapital} TON`\n );\n }\n\n const agentId = `agent_${Date.now()}_${Math.random().toString(36).substring(2, 9)}`;\n const now = new Date();\n\n const agent: MarketplaceDeployedAgent = {\n agentId,\n strategyId: input.strategyId,\n strategyName: strategy.name,\n userId: input.userId,\n name: input.agentName ?? 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| "oldStart": 537, | |
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| "lines": [ | |
| " ", | |
| " export { BUILTIN_STRATEGIES };", | |
| " ", | |
| "+// ============================================================================", | |
| "+// Backtesting Integration (Issue #202)", | |
| "+// ============================================================================", | |
| "+", | |
| "+export {", | |
| "+ // Main backtester", | |
| "+ DefaultMarketplaceBacktester,", | |
| "+ createMarketplaceBacktester,", | |
| "+ // Types", | |
| "+ type BacktestTimeframe,", | |
| "+ type MarketplaceBacktestConfig,", | |
| "+ type BacktestResultSummary,", | |
| "+ type MarketplaceBacktestResult,", | |
| "+ type BacktestComparisonResult,", | |
| "+ type MarketplaceBacktester,", | |
| "+ type CLIBacktestConfig,", | |
| "+ // CLI utilities", | |
| "+ parseCLIBacktestArgs,", | |
| "+ runCLIBacktest,", | |
| "+ formatCLIBacktestResult,", | |
| "+} from './backtesting-integration';", | |
| "+", | |
| " export default DefaultStrategyMarketplace;" | |
| ] | |
| } | |
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| } | |
| } | |
| [2026-03-11T21:45:39.378Z] [INFO] [log_d31ed8] sending request { | |
| [2026-03-11T21:45:39.379Z] [INFO] method: 'post', | |
| [2026-03-11T21:45:39.379Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:45:39.380Z] [INFO] options: { | |
| [2026-03-11T21:45:39.380Z] [INFO] method: 'post', | |
| [2026-03-11T21:45:39.380Z] [INFO] path: '/v1/messages?beta=true', | |
| [2026-03-11T21:45:39.380Z] [INFO] body: { | |
| [2026-03-11T21:45:39.380Z] [INFO] model: 'claude-opus-4-5-20251101', | |
| [2026-03-11T21:45:39.380Z] [INFO] messages: [Array], | |
| [2026-03-11T21:45:39.381Z] [INFO] system: [Array], | |
| [2026-03-11T21:45:39.381Z] [INFO] tools: [Array], | |
| [2026-03-11T21:45:39.381Z] [INFO] tool_choice: undefined, | |
| [2026-03-11T21:45:39.381Z] [INFO] metadata: [Object], | |
| [2026-03-11T21:45:39.381Z] [INFO] max_tokens: 64000, | |
| [2026-03-11T21:45:39.381Z] [INFO] thinking: undefined, | |
| [2026-03-11T21:45:39.382Z] [INFO] temperature: 1, | |
| [2026-03-11T21:45:39.382Z] [INFO] stream: true | |
| [2026-03-11T21:45:39.383Z] [INFO] }, | |
| [2026-03-11T21:45:39.383Z] [INFO] timeout: 600000, | |
| [2026-03-11T21:45:39.383Z] [INFO] signal: AbortSignal { aborted: false }, | |
| [2026-03-11T21:45:39.384Z] [INFO] stream: true | |
| [2026-03-11T21:45:39.384Z] [INFO] }, | |
| [2026-03-11T21:45:39.384Z] [INFO] headers: { | |
| [2026-03-11T21:45:39.384Z] [INFO] accept: 'application/json', | |
| [2026-03-11T21:45:39.384Z] [INFO] 'anthropic-beta': 'claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,prompt-caching-scope-2026-01-05,advanced-tool-use-2025-11-20', | |
| [2026-03-11T21:45:39.384Z] [INFO] 'anthropic-dangerous-direct-browser-access': 'true', | |
| [2026-03-11T21:45:39.384Z] [INFO] 'anthropic-version': '2023-06-01', | |
| [2026-03-11T21:45:39.385Z] [INFO] authorization: '***', | |
| [2026-03-11T21:45:39.385Z] [INFO] 'content-type': 'application/json', | |
| [2026-03-11T21:45:39.385Z] [INFO] 'user-agent': 'claude-cli/2.1.72 (external, sdk-cli)', | |
| [2026-03-11T21:45:39.385Z] [INFO] 'x-app': 'cli', | |
| [2026-03-11T21:45:39.386Z] [INFO] 'x-stainless-arch': 'x64', | |
| [2026-03-11T21:45:39.386Z] [INFO] 'x-stainless-lang': 'js', | |
| [2026-03-11T21:45:39.386Z] [INFO] 'x-stainless-os': 'Linux', | |
| [2026-03-11T21:45:39.386Z] [INFO] 'x-stainless-package-version': '0.74.0', | |
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| [2026-03-11T21:45:44.219Z] [INFO] [log_d31ed8, request-id: "req_011CYx2S4n4qZLyeaKv6e34o"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 4841ms | |
| [2026-03-11T21:45:44.220Z] [INFO] [log_d31ed8] response start { | |
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| [2026-03-11T21:45:44.220Z] [INFO] status: 200, | |
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| [2026-03-11T21:45:44.222Z] [INFO] 'anthropic-ratelimit-unified-fallback-percentage': '0.5', | |
| [2026-03-11T21:45:44.222Z] [INFO] 'anthropic-ratelimit-unified-overage-disabled-reason': 'org_level_disabled', | |
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| [2026-03-11T21:45:44.224Z] [INFO] 'content-type': 'text/event-stream; charset=utf-8', | |
| [2026-03-11T21:45:44.224Z] [INFO] date: 'Wed, 11 Mar 2026 21:45:44 GMT', | |
| [2026-03-11T21:45:44.225Z] [INFO] 'request-id': 'req_011CYx2S4n4qZLyeaKv6e34o', | |
| [2026-03-11T21:45:44.225Z] [INFO] server: 'cloudflare', | |
| [2026-03-11T21:45:44.225Z] [INFO] 'strict-transport-security': 'max-age=31536000; includeSubDomains; preload', | |
| [2026-03-11T21:45:44.225Z] [INFO] 'transfer-encoding': 'chunked', | |
| [2026-03-11T21:45:44.225Z] [INFO] vary: 'Accept-Encoding', | |
| [2026-03-11T21:45:44.225Z] [INFO] 'x-envoy-upstream-service-time': '4501', | |
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| [2026-03-11T21:45:44.226Z] [INFO] }, | |
| [2026-03-11T21:45:44.226Z] [INFO] durationMs: 4841 | |
| [2026-03-11T21:45:44.226Z] [INFO] } | |
| [2026-03-11T21:45:44.226Z] [INFO] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-03-11T21:45:44.226Z] [INFO] date: 'Wed, 11 Mar 2026 21:45:44 GMT', | |
| [2026-03-11T21:45:44.226Z] [INFO] 'content-type': 'text/event-stream; charset=utf-8', | |
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| [2026-03-11T21:45:44.228Z] [INFO] 'anthropic-ratelimit-unified-7d-reset': '1773374400', | |
| [2026-03-11T21:45:44.228Z] [INFO] 'anthropic-ratelimit-unified-7d-utilization': '0.85', | |
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| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-representative-claim': 'seven_day', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-fallback-percentage': '0.5', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-fallback': 'available', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-reset': '1773374400', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-overage-disabled-reason': 'org_level_disabled', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'anthropic-ratelimit-unified-overage-status': 'rejected', | |
| [2026-03-11T21:45:44.229Z] [INFO] 'request-id': 'req_011CYx2S4n4qZLyeaKv6e34o', | |
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| [2026-03-11T21:45:44.230Z] [INFO] 'anthropic-organization-id': '684cb0ba-85b8-4b30-a841-e92fb92cc97f', | |
| [2026-03-11T21:45:44.230Z] [INFO] server: 'cloudflare', | |
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| [2026-03-11T21:45:44.230Z] [INFO] 'content-encoding': 'gzip', | |
| [2026-03-11T21:45:44.230Z] [INFO] vary: 'Accept-Encoding', | |
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| [2026-03-11T21:45:44.230Z] [INFO] 'content-security-policy': "default-src 'none'; frame-ancestors 'none'", | |
| [2026-03-11T21:45:44.231Z] [INFO] 'cf-cache-status': 'DYNAMIC', | |
| [2026-03-11T21:45:44.231Z] [INFO] 'cf-ray': '9dadbf5528661cbd-FRA' | |
| [2026-03-11T21:45:44.231Z] [INFO] } ReadableStream { locked: false, state: 'readable', supportsBYOB: true } | |
| [2026-03-11T21:45:44.231Z] [INFO] [log_d31ed8] response parsed { | |
| [2026-03-11T21:45:44.231Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:45:44.231Z] [INFO] status: 200, | |
| [2026-03-11T21:45:44.231Z] [INFO] body: qG { | |
| [2026-03-11T21:45:44.231Z] [INFO] iterator: [AsyncGeneratorFunction: _], | |
| [2026-03-11T21:45:44.232Z] [INFO] controller: AbortController { signal: AbortSignal { aborted: false } } | |
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| "message": { | |
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| "id": "msg_01STUSBAqJk7KKssXaANCuwt", | |
| "type": "message", | |
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| [2026-03-11T21:45:49.883Z] [INFO] [log_42cb80] sending request { | |
| [2026-03-11T21:45:49.884Z] [INFO] method: 'post', | |
| [2026-03-11T21:45:49.885Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:45:49.885Z] [INFO] options: { | |
| [2026-03-11T21:45:49.885Z] [INFO] method: 'post', | |
| [2026-03-11T21:45:49.885Z] [INFO] path: '/v1/messages?beta=true', | |
| [2026-03-11T21:45:49.886Z] [INFO] body: { | |
| [2026-03-11T21:45:49.886Z] [INFO] model: 'claude-opus-4-5-20251101', | |
| [2026-03-11T21:45:49.886Z] [INFO] messages: [Array], | |
| [2026-03-11T21:45:49.886Z] [INFO] system: [Array], | |
| [2026-03-11T21:45:49.886Z] [INFO] tools: [Array], | |
| [2026-03-11T21:45:49.887Z] [INFO] tool_choice: undefined, | |
| [2026-03-11T21:45:49.887Z] [INFO] metadata: [Object], | |
| [2026-03-11T21:45:49.887Z] [INFO] max_tokens: 64000, | |
| [2026-03-11T21:45:49.887Z] [INFO] thinking: undefined, | |
| [2026-03-11T21:45:49.887Z] [INFO] temperature: 1, | |
| [2026-03-11T21:45:49.887Z] [INFO] stream: true | |
| [2026-03-11T21:45:49.887Z] [INFO] }, | |
| [2026-03-11T21:45:49.888Z] [INFO] timeout: 600000, | |
| [2026-03-11T21:45:49.888Z] [INFO] signal: AbortSignal { aborted: false }, | |
| [2026-03-11T21:45:49.888Z] [INFO] stream: true | |
| [2026-03-11T21:45:49.888Z] [INFO] }, | |
| [2026-03-11T21:45:49.889Z] [INFO] headers: { | |
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| [2026-03-11T21:45:49.889Z] [INFO] 'anthropic-beta': 'claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,prompt-caching-scope-2026-01-05,advanced-tool-use-2025-11-20', | |
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| [2026-03-11T21:45:52.739Z] [INFO] } ReadableStream { locked: false, state: 'readable', supportsBYOB: true } | |
| [2026-03-11T21:45:52.740Z] [INFO] [log_42cb80] response parsed { | |
| [2026-03-11T21:45:52.740Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:45:52.740Z] [INFO] status: 200, | |
| [2026-03-11T21:45:52.740Z] [INFO] body: qG { | |
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| [2026-03-11T21:45:52.740Z] [INFO] controller: AbortController { signal: AbortSignal { aborted: false } } | |
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| { | |
| "type": "text", | |
| "text": "Now let me add the Mini App backtesting UI component. First, let me check the miniapp styles for patterns." | |
| } | |
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| { | |
| "tool_use_id": "toolu_012dvmkwtZDTn7ctjkJmNRZf", | |
| "type": "tool_result", | |
| "content": " 1→/* TON AI Agent – Portfolio Dashboard Styles\n 2→ Mobile-first, dark-mode ready, Telegram theme-aware\n 3→*/\n 4→\n 5→/* ============================================================\n 6→ Design Tokens\n 7→ ============================================================ */\n 8→:root {\n 9→ /* TON Brand */\n 10→ --ton-blue: #0088CC;\n 11→ --ton-blue-dk: #006699;\n 12→ --ton-blue-lt: #00A8FF;\n 13→ --cyan: #00D4FF;\n 14→\n 15→ /* Telegram-adaptive colours */\n 16→ --bg: var(--tg-theme-bg-color, #0e1117);\n 17→ --bg2: var(--tg-theme-secondary-bg-color, #1a1f2e);\n 18→ --text: var(--tg-theme-text-color, #e8edf5);\n 19→ --hint: var(--tg-theme-hint-color, #6b7a99);\n 20→ --link: var(--tg-theme-link-color, #00A8FF);\n 21→ --btn-bg: var(--tg-theme-button-color, #0088CC);\n 22→ --btn-text: var(--tg-theme-button-text-color, #ffffff);\n 23→\n 24→ /* Semantic */\n 25→ --positive: #28C76F;\n 26→ --negative: #EA5455;\n 27→ --warning: #FF9F43;\n 28→ --muted: #4a5568;\n 29→\n 30→ /* Surfaces */\n 31→ --card: rgba(255,255,255,0.04);\n 32→ --card-border: rgba(255,255,255,0.08);\n 33→ --card-hover: rgba(255,255,255,0.07);\n 34→\n 35→ /* Spacing */\n 36→ --s1: 4px;\n 37→ --s2: 8px;\n 38→ --s3: 12px;\n 39→ --s4: 16px;\n 40→ --s5: 20px;\n 41→ --s6: 24px;\n 42→ --s8: 32px;\n 43→\n 44→ /* Radius */\n 45→ --r-sm: 8px;\n 46→ --r-md: 12px;\n 47→ --r-lg: 16px;\n 48→ --r-xl: 20px;\n 49→ --r-full: 9999px;\n 50→\n 51→ /* Typography */\n 52→ --font: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n 53→ --text-xs: 11px;\n 54→ --text-sm: 13px;\n 55→ --text-md: 15px;\n 56→ --text-lg: 17px;\n 57→ --text-xl: 22px;\n 58→ --text-2xl: 30px;\n 59→ --text-3xl: 38px;\n 60→\n 61→ /* Animation */\n 62→ --ease: 200ms ease;\n 63→\n 64→ /* Nav */\n 65→ --nav-h: 60px;\n 66→}\n 67→\n 68→/* Detect Telegram light theme */\n 69→[data-theme=\"light\"] {\n 70→ --bg: var(--tg-theme-bg-color, #f7f9fc);\n 71→ --bg2: var(--tg-theme-secondary-bg-color, #eef1f6);\n 72→ --text: var(--tg-theme-text-color, #1a202c);\n 73→ --hint: var(--tg-theme-hint-color, #718096);\n 74→ --card: rgba(0,0,0,0.025);\n 75→ --card-border: rgba(0,0,0,0.08);\n 76→ --card-hover: rgba(0,0,0,0.05);\n 77→ --muted: #a0aec0;\n 78→}\n 79→\n 80→/* ============================================================\n 81→ Reset & Base\n 82→ ============================================================ */\n 83→*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }\n 84→\n 85→html { font-size: 16px; -webkit-text-size-adjust: 100%; }\n 86→\n 87→body {\n 88→ font-family: var(--font);\n 89→ font-size: var(--text-md);\n 90→ line-height: 1.5;\n 91→ color: var(--text);\n 92→ background: var(--bg);\n 93→ min-height: 100vh;\n 94→ overflow-x: hidden;\n 95→ -webkit-font-smoothing: antialiased;\n 96→ -moz-osx-font-smoothing: grayscale;\n 97→ /* Telegram dark mode by default */\n 98→ background-color: #0e1117;\n 99→}\n 100→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
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| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/miniapp/styles.css", | |
| "content": "/* TON AI Agent – Portfolio Dashboard Styles\n Mobile-first, dark-mode ready, Telegram theme-aware\n*/\n\n/* ============================================================\n Design Tokens\n ============================================================ */\n:root {\n /* TON Brand */\n --ton-blue: #0088CC;\n --ton-blue-dk: #006699;\n --ton-blue-lt: #00A8FF;\n --cyan: #00D4FF;\n\n /* Telegram-adaptive colours */\n --bg: var(--tg-theme-bg-color, #0e1117);\n --bg2: var(--tg-theme-secondary-bg-color, #1a1f2e);\n --text: var(--tg-theme-text-color, #e8edf5);\n --hint: var(--tg-theme-hint-color, #6b7a99);\n --link: var(--tg-theme-link-color, #00A8FF);\n --btn-bg: var(--tg-theme-button-color, #0088CC);\n --btn-text: var(--tg-theme-button-text-color, #ffffff);\n\n /* Semantic */\n --positive: #28C76F;\n --negative: #EA5455;\n --warning: #FF9F43;\n --muted: #4a5568;\n\n /* Surfaces */\n --card: rgba(255,255,255,0.04);\n --card-border: rgba(255,255,255,0.08);\n --card-hover: rgba(255,255,255,0.07);\n\n /* Spacing */\n --s1: 4px;\n --s2: 8px;\n --s3: 12px;\n --s4: 16px;\n --s5: 20px;\n --s6: 24px;\n --s8: 32px;\n\n /* Radius */\n --r-sm: 8px;\n --r-md: 12px;\n --r-lg: 16px;\n --r-xl: 20px;\n --r-full: 9999px;\n\n /* Typography */\n --font: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;\n --text-xs: 11px;\n --text-sm: 13px;\n --text-md: 15px;\n --text-lg: 17px;\n --text-xl: 22px;\n --text-2xl: 30px;\n --text-3xl: 38px;\n\n /* Animation */\n --ease: 200ms ease;\n\n /* Nav */\n --nav-h: 60px;\n}\n\n/* Detect Telegram light theme */\n[data-theme=\"light\"] {\n --bg: var(--tg-theme-bg-color, #f7f9fc);\n --bg2: var(--tg-theme-secondary-bg-color, #eef1f6);\n --text: var(--tg-theme-text-color, #1a202c);\n --hint: var(--tg-theme-hint-color, #718096);\n --card: rgba(0,0,0,0.025);\n --card-border: rgba(0,0,0,0.08);\n --card-hover: rgba(0,0,0,0.05);\n --muted: #a0aec0;\n}\n\n/* ============================================================\n Reset & Base\n ============================================================ */\n*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }\n\nhtml { font-size: 16px; -webkit-text-size-adjust: 100%; }\n\nbody {\n font-family: var(--font);\n font-size: var(--text-md);\n line-height: 1.5;\n color: var(--text);\n background: var(--bg);\n min-height: 100vh;\n overflow-x: hidden;\n -webkit-font-smoothing: antialiased;\n -moz-osx-font-smoothing: grayscale;\n /* Telegram dark mode by default */\n background-color: #0e1117;\n}\n", | |
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| "totalLines": 2586 | |
| } | |
| } | |
| } | |
| [2026-03-11T21:45:54.203Z] [INFO] [log_69a2ee] sending request { | |
| [2026-03-11T21:45:54.203Z] [INFO] method: 'post', | |
| [2026-03-11T21:45:54.204Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:45:54.204Z] [INFO] options: { | |
| [2026-03-11T21:45:54.204Z] [INFO] method: 'post', | |
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| [2026-03-11T21:45:54.205Z] [INFO] body: { | |
| [2026-03-11T21:45:54.205Z] [INFO] model: 'claude-opus-4-5-20251101', | |
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| [2026-03-11T21:45:54.206Z] [INFO] tools: [Array], | |
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| "content": "/**\n * TON AI Agent – Strategy Backtesting Component\n * Run historical backtests on marketplace strategies\n */\n(function () {\n 'use strict';\n\n const { State, API, DemoData, Fmt, el, esc, TG } = window.App;\n\n // Local backtesting state\n const BacktestState = {\n selectedStrategy: null,\n isRunning: false,\n results: [],\n currentResult: null,\n config: {\n asset: 'TON',\n timeframe: '1h',\n startDate: '',\n endDate: '',\n initialCapital: 10000,\n },\n };\n\n // Available assets and timeframes\n const AVAILABLE_ASSETS = ['TON', 'BTC', 'ETH', 'SOL'];\n const AVAILABLE_TIMEFRAMES = [\n { value: '1m', label: '1 Minute' },\n { value: '5m', label: '5 Minutes' },\n { value: '15m', label: '15 Minutes' },\n { value: '1h', label: '1 Hour' },\n { value: '4h', label: '4 Hours' },\n { value: '1d', label: '1 Day' },\n ];\n\n const Backtesting = {\n /**\n * Initialize backtesting with default dates\n */\n init() {\n // Set default date range (last 6 months)\n const endDate = new Date();\n const startDate = new Date();\n startDate.setMonth(startDate.getMonth() - 6);\n\n BacktestState.config.startDate = this.formatDateForInput(startDate);\n BacktestState.config.endDate = this.formatDateForInput(endDate);\n },\n\n /**\n * Open backtest modal for a specific strategy\n */\n openBacktestModal(strategyId) {\n // Get strategy from marketplace\n const strategies = window.DemoData?.marketplace() || [];\n const strategy = strategies.find(s => s.id === strategyId);\n\n if (!strategy) {\n TG.alert('Strategy not found');\n return;\n }\n\n BacktestState.selectedStrategy = strategy;\n this.renderBacktestModal();\n el('backtest-modal').classList.remove('hidden');\n TG.haptic.select();\n },\n\n /**\n * Close backtest modal\n */\n closeBacktestModal() {\n el('backtest-modal').classList.add('hidden');\n BacktestState.selectedStrategy = null;\n BacktestState.currentResult = null;\n },\n\n /**\n * Render the backtest configuration modal\n */\n renderBacktestModal() {\n const strategy = BacktestState.selectedStrategy;\n if (!strategy) return;\n\n // Strategy info\n el('bt-strategy-name').textContent = strategy.name;\n el('bt-strategy-meta').textContent = `by ${strategy.author} | ${this.formatCategory(strategy.category)}`;\n\n // Asset selector\n const assetSelect = el('bt-asset-select');\n assetSelect.innerHTML = AVAILABLE_ASSETS.map(asset =>\n `<option value=\"${asset}\" ${asset === BacktestState.config.asset ? 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'D' : 'F';\n\n return {\n backtestId: `bt_${Date.now()}`,\n strategyId: strategy.id,\n strategyName: strategy.name,\n asset: config.asset,\n period: this.formatPeriod(startDate, endDate),\n initialCapital: config.initialCapital,\n finalValue: finalValue,\n totalReturn: totalReturn,\n maxDrawdown: maxDrawdown,\n totalTrades: totalTrades,\n winRate: winRate,\n sharpeRatio: sharpeRatio,\n profitFactor: profitFactor,\n riskGrade: riskGrade,\n durationMs: 1500,\n equityCurve: equityCurve,\n tradeMarkers: tradeMarkers,\n timestamp: new Date(),\n };\n },\n\n /**\n * Generate simulated equity curve\n */\n generateEquityCurve(startValue, endValue, days) {\n const points = Math.min(days, 180); // Limit to 180 data points\n const curve = [];\n const trend = (endValue - startValue) / points;\n\n let value = startValue;\n const startTime = Date.now() - (days * 24 * 60 * 60 * 1000);\n\n for (let i = 0; i <= points; i++) {\n // Add some noise to make it realistic\n const noise = (Math.random() - 0.5) * (startValue * 0.02);\n value = value + trend + noise;\n value = Math.max(value, startValue * 0.7); // Floor at 70% of start\n\n curve.push({\n timestamp: new Date(startTime + (i * (days / points) * 24 * 60 * 60 * 1000)),\n value: value,\n });\n }\n\n // Ensure final value matches\n if (curve.length > 0) {\n curve[curve.length - 1].value = endValue;\n }\n\n return curve;\n },\n\n /**\n * Generate simulated trade markers\n */\n generateTradeMarkers(equityCurve, tradeCount) {\n const markers = [];\n const pointCount = equityCurve.length;\n\n for (let i = 0; i < Math.min(tradeCount, 50); i++) {\n const pointIndex = Math.floor(Math.random() * pointCount);\n const point = equityCurve[pointIndex];\n\n markers.push({\n timestamp: point.timestamp,\n type: Math.random() > 0.5 ? 'buy' : 'sell',\n price: point.value / 100, // Simulated price\n amount: Math.random() * 100,\n });\n }\n\n return markers.sort((a, b) => a.timestamp - b.timestamp);\n },\n\n /**\n * Render backtest results\n */\n renderBacktestResults(result) {\n // Hide config, show results\n el('bt-config-section').classList.add('hidden');\n el('bt-result-section').classList.remove('hidden');\n\n // Summary metrics\n const roiClass = result.totalReturn >= 0 ? 'positive' : 'negative';\n const roiSign = result.totalReturn >= 0 ? '+' : '';\n\n el('bt-result-roi').textContent = `${roiSign}${result.totalReturn.toFixed(2)}%`;\n el('bt-result-roi').className = `result-value ${roiClass}`;\n\n el('bt-result-final-value').textContent = `$${result.finalValue.toLocaleString(undefined, { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`;\n el('bt-result-drawdown').textContent = `${result.maxDrawdown.toFixed(2)}%`;\n el('bt-result-trades').textContent = result.totalTrades;\n el('bt-result-winrate').textContent = `${result.winRate.toFixed(1)}%`;\n el('bt-result-sharpe').textContent = result.sharpeRatio.toFixed(2);\n el('bt-result-profit-factor').textContent = result.profitFactor.toFixed(2);\n\n // Risk grade with styling\n const gradeEl = el('bt-result-grade');\n gradeEl.textContent = result.riskGrade;\n gradeEl.className = `risk-grade grade-${result.riskGrade.toLowerCase()}`;\n\n // Period info\n el('bt-result-period').textContent = result.period;\n el('bt-result-asset').textContent = result.asset;\n\n // Render equity curve chart\n this.renderEquityCurveChart(result.equityCurve);\n },\n\n /**\n * Render simple equity curve chart using CSS\n */\n renderEquityCurveChart(equityCurve) {\n const container = el('bt-equity-chart');\n if (!container || equityCurve.length === 0) return;\n\n const values = equityCurve.map(p => p.value);\n const minVal = Math.min(...values);\n const maxVal = Math.max(...values);\n const range = maxVal - minVal || 1;\n\n // Create SVG chart\n const width = container.clientWidth || 300;\n const height = 120;\n const padding = 10;\n\n const points = equityCurve.map((point, i) => {\n const x = padding + ((width - 2 * padding) * i / (equityCurve.length - 1));\n const y = height - padding - ((point.value - minVal) / range) * (height - 2 * padding);\n return `${x},${y}`;\n }).join(' ');\n\n const isPositive = values[values.length - 1] >= values[0];\n const lineColor = isPositive ? 'var(--positive)' : 'var(--negative)';\n\n container.innerHTML = `\n <svg viewBox=\"0 0 ${width} ${height}\" preserveAspectRatio=\"none\" class=\"equity-svg\">\n <defs>\n <linearGradient id=\"equityGradient\" x1=\"0\" y1=\"0\" x2=\"0\" y2=\"1\">\n <stop offset=\"0%\" style=\"stop-color:${lineColor};stop-opacity:0.3\" />\n <stop offset=\"100%\" style=\"stop-color:${lineColor};stop-opacity:0\" />\n </linearGradient>\n </defs>\n <polygon\n points=\"${padding},${height - padding} ${points} ${width - padding},${height - padding}\"\n fill=\"url(#equityGradient)\"\n />\n <polyline\n points=\"${points}\"\n fill=\"none\"\n stroke=\"${lineColor}\"\n stroke-width=\"2\"\n stroke-linecap=\"round\"\n stroke-linejoin=\"round\"\n />\n </svg>\n <div class=\"chart-labels\">\n <span class=\"chart-label-start\">$${minVal.toLocaleString(undefined, { maximumFractionDigits: 0 })}</span>\n <span class=\"chart-label-end\">$${maxVal.toLocaleString(undefined, { maximumFractionDigits: 0 })}</span>\n </div>\n `;\n },\n\n /**\n * Run another backtest with same strategy\n */\n runAnotherBacktest() {\n el('bt-config-section').classList.remove('hidden');\n el('bt-result-section').classList.add('hidden');\n el('bt-run-btn').disabled = false;\n el('bt-run-btn').textContent = 'Run Backtest';\n },\n\n /**\n * Get recent backtest results\n */\n getRecentResults() {\n return BacktestState.results.slice(0, 10);\n },\n\n /**\n * Validate backtest configuration\n */\n validateConfig() {\n const errors = [];\n const config = BacktestState.config;\n\n if (!config.startDate) {\n errors.push('Start date is required');\n }\n\n if (!config.endDate) {\n errors.push('End date is required');\n }\n\n if (config.startDate && config.endDate) {\n const start = new Date(config.startDate);\n const end = new Date(config.endDate);\n\n if (start >= end) {\n errors.push('Start date must be before end date');\n }\n\n const days = (end - start) / (1000 * 60 * 60 * 24);\n if (days < 7) {\n errors.push('Backtest period must be at least 7 days');\n }\n\n if (days > 365) {\n errors.push('Backtest period cannot exceed 1 year');\n }\n }\n\n if (!config.initialCapital || config.initialCapital < 100) {\n errors.push('Initial capital must be at least $100');\n }\n\n if (config.initialCapital > 1000000) {\n errors.push('Initial capital cannot exceed $1,000,000');\n }\n\n return { valid: errors.length === 0, errors };\n },\n\n /**\n * Update configuration from inputs\n */\n updateConfig(field, value) {\n if (field === 'initialCapital') {\n BacktestState.config[field] = parseFloat(value) || 0;\n } else {\n BacktestState.config[field] = value;\n }\n },\n\n /**\n * Format date for input\n */\n formatDateForInput(date) {\n return date.toISOString().split('T')[0];\n },\n\n /**\n * Format period for display\n */\n formatPeriod(startDate, endDate) {\n const options = { month: 'short', year: 'numeric' };\n const start = startDate.toLocaleDateString('en-US', options);\n const end = endDate.toLocaleDateString('en-US', options);\n return `${start} - ${end}`;\n },\n\n /**\n * Format category for display\n */\n formatCategory(cat) {\n const labels = {\n momentum: 'Momentum',\n mean_reversion: 'Mean Reversion',\n arbitrage: 'Arbitrage',\n grid_trading: 'Grid Trading',\n yield_farming: 'Yield Farming',\n trend_following: 'Trend Following',\n };\n return labels[cat] || cat;\n },\n };\n\n /* --------------------------------------------------------\n Event Handlers Setup\n -------------------------------------------------------- */\n function setupEventHandlers() {\n // Close modal\n el('backtest-modal-overlay')?.addEventListener('click', () => {\n Backtesting.closeBacktestModal();\n });\n el('close-backtest-modal')?.addEventListener('click', () => {\n Backtesting.closeBacktestModal();\n });\n\n // Run backtest button\n el('bt-run-btn')?.addEventListener('click', () => {\n Backtesting.runBacktest();\n });\n\n // Run another backtest\n el('bt-run-another-btn')?.addEventListener('click', () => {\n Backtesting.runAnotherBacktest();\n });\n\n // Config inputs\n el('bt-asset-select')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('asset', e.target.value);\n });\n el('bt-timeframe-select')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('timeframe', e.target.value);\n });\n el('bt-start-date')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('startDate', e.target.value);\n });\n el('bt-end-date')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('endDate', e.target.value);\n });\n el('bt-capital')?.addEventListener('input', (e) => {\n Backtesting.updateConfig('initialCapital', e.target.value);\n });\n }\n\n // Initialize when DOM is ready\n if (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', () => {\n Backtesting.init();\n setupEventHandlers();\n });\n } else {\n Backtesting.init();\n setupEventHandlers();\n }\n\n window.Backtesting = Backtesting;\n})();\n" | |
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| "content": "/**\n * TON AI Agent – Strategy Backtesting Component\n * Run historical backtests on marketplace strategies\n */\n(function () {\n 'use strict';\n\n const { State, API, DemoData, Fmt, el, esc, TG } = window.App;\n\n // Local backtesting state\n const BacktestState = {\n selectedStrategy: null,\n isRunning: false,\n results: [],\n currentResult: null,\n config: {\n asset: 'TON',\n timeframe: '1h',\n startDate: '',\n endDate: '',\n initialCapital: 10000,\n },\n };\n\n // Available assets and timeframes\n const AVAILABLE_ASSETS = ['TON', 'BTC', 'ETH', 'SOL'];\n const AVAILABLE_TIMEFRAMES = [\n { value: '1m', label: '1 Minute' },\n { value: '5m', label: '5 Minutes' },\n { value: '15m', label: '15 Minutes' },\n { value: '1h', label: '1 Hour' },\n { value: '4h', label: '4 Hours' },\n { value: '1d', label: '1 Day' },\n ];\n\n const Backtesting = {\n /**\n * Initialize backtesting with default dates\n */\n init() {\n // Set default date range (last 6 months)\n const endDate = new Date();\n const startDate = new Date();\n startDate.setMonth(startDate.getMonth() - 6);\n\n BacktestState.config.startDate = this.formatDateForInput(startDate);\n BacktestState.config.endDate = this.formatDateForInput(endDate);\n },\n\n /**\n * Open backtest modal for a specific strategy\n */\n openBacktestModal(strategyId) {\n // Get strategy from marketplace\n const strategies = window.DemoData?.marketplace() || [];\n const strategy = strategies.find(s => s.id === strategyId);\n\n if (!strategy) {\n TG.alert('Strategy not found');\n return;\n }\n\n BacktestState.selectedStrategy = strategy;\n this.renderBacktestModal();\n el('backtest-modal').classList.remove('hidden');\n TG.haptic.select();\n },\n\n /**\n * Close backtest modal\n */\n closeBacktestModal() {\n el('backtest-modal').classList.add('hidden');\n BacktestState.selectedStrategy = null;\n BacktestState.currentResult = null;\n },\n\n /**\n * Render the backtest configuration modal\n */\n renderBacktestModal() {\n const strategy = BacktestState.selectedStrategy;\n if (!strategy) return;\n\n // Strategy info\n el('bt-strategy-name').textContent = strategy.name;\n el('bt-strategy-meta').textContent = `by ${strategy.author} | ${this.formatCategory(strategy.category)}`;\n\n // Asset selector\n const assetSelect = el('bt-asset-select');\n assetSelect.innerHTML = AVAILABLE_ASSETS.map(asset =>\n `<option value=\"${asset}\" ${asset === BacktestState.config.asset ? 'selected' : ''}>${asset}</option>`\n ).join('');\n\n // Timeframe selector\n const timeframeSelect = el('bt-timeframe-select');\n timeframeSelect.innerHTML = AVAILABLE_TIMEFRAMES.map(tf =>\n `<option value=\"${tf.value}\" ${tf.value === BacktestState.config.timeframe ? 'selected' : ''}>${tf.label}</option>`\n ).join('');\n\n // Date inputs\n el('bt-start-date').value = BacktestState.config.startDate;\n el('bt-end-date').value = BacktestState.config.endDate;\n\n // Capital input\n el('bt-capital').value = BacktestState.config.initialCapital;\n\n // Reset result view\n el('bt-config-section').classList.remove('hidden');\n el('bt-result-section').classList.add('hidden');\n el('bt-run-btn').disabled = false;\n el('bt-run-btn').textContent = 'Run Backtest';\n },\n\n /**\n * Run backtest with current configuration\n */\n async runBacktest() {\n if (BacktestState.isRunning) return;\n\n const strategy = BacktestState.selectedStrategy;\n if (!strategy) return;\n\n // Validate configuration\n const validation = this.validateConfig();\n if (!validation.valid) {\n TG.alert(validation.errors.join('\\n'));\n return;\n }\n\n BacktestState.isRunning = true;\n TG.haptic.impact();\n\n // Update UI to show running state\n const runBtn = el('bt-run-btn');\n runBtn.disabled = true;\n runBtn.innerHTML = `\n <span class=\"spinner\"></span>\n Running Backtest...\n `;\n\n try {\n // Simulate backtest (in production, this would call the API)\n const result = await this.simulateBacktest(strategy);\n\n BacktestState.currentResult = result;\n BacktestState.results.unshift(result);\n\n // Show results\n this.renderBacktestResults(result);\n\n TG.haptic.notify('success');\n } catch (err) {\n console.error('[Backtesting] Error:', err);\n TG.alert('Backtest failed: ' + err.message);\n TG.haptic.notify('error');\n\n runBtn.disabled = false;\n runBtn.textContent = 'Run Backtest';\n } finally {\n BacktestState.isRunning = false;\n }\n },\n\n /**\n * Simulate backtest result (demo implementation)\n */\n async simulateBacktest(strategy) {\n // Simulate API delay\n await new Promise(resolve => setTimeout(resolve, 1500));\n\n const config = BacktestState.config;\n const startDate = new Date(config.startDate);\n const endDate = new Date(config.endDate);\n\n // Calculate days for simulation\n const days = Math.ceil((endDate - startDate) / (1000 * 60 * 60 * 24));\n\n // Generate simulated results based on strategy characteristics\n const baseRoi = strategy.roi_30d || 5;\n const riskMultiplier = strategy.risk_level === 'high' ? 1.5 :\n strategy.risk_level === 'low' ? 0.6 : 1;\n\n // Scale ROI to period and add some variance\n const periodFactor = days / 30;\n const variance = (Math.random() - 0.5) * 0.3;\n const totalReturn = (baseRoi * periodFactor * riskMultiplier) * (1 + variance);\n\n const finalValue = config.initialCapital * (1 + totalReturn / 100);\n\n // Generate trade count based on timeframe and period\n const tradesPerDay = config.timeframe === '1m' ? 20 :\n config.timeframe === '5m' ? 10 :\n config.timeframe === '15m' ? 5 :\n config.timeframe === '1h' ? 2 :\n config.timeframe === '4h' ? 1 : 0.5;\n const totalTrades = Math.round(days * tradesPerDay);\n\n // Generate other metrics\n const winRate = (strategy.win_rate || 60) + (Math.random() - 0.5) * 10;\n const maxDrawdown = -(strategy.max_drawdown || 5) * riskMultiplier * (1 + Math.random() * 0.3);\n const sharpeRatio = (strategy.sharpe_ratio || 1.5) * (1 + (Math.random() - 0.5) * 0.4);\n const profitFactor = winRate > 50 ? 1 + (winRate - 50) / 30 : 0.8;\n\n // Generate equity curve\n const equityCurve = this.generateEquityCurve(config.initialCapital, finalValue, days);\n\n // Generate trade markers\n const tradeMarkers = this.generateTradeMarkers(equityCurve, totalTrades);\n\n // Determine risk grade\n const riskGrade = maxDrawdown > -5 && sharpeRatio > 1.5 ? 'A' :\n maxDrawdown > -10 && sharpeRatio > 1 ? 'B' :\n maxDrawdown > -15 && sharpeRatio > 0.5 ? 'C' :\n maxDrawdown > -20 ? 'D' : 'F';\n\n return {\n backtestId: `bt_${Date.now()}`,\n strategyId: strategy.id,\n strategyName: strategy.name,\n asset: config.asset,\n period: this.formatPeriod(startDate, endDate),\n initialCapital: config.initialCapital,\n finalValue: finalValue,\n totalReturn: totalReturn,\n maxDrawdown: maxDrawdown,\n totalTrades: totalTrades,\n winRate: winRate,\n sharpeRatio: sharpeRatio,\n profitFactor: profitFactor,\n riskGrade: riskGrade,\n durationMs: 1500,\n equityCurve: equityCurve,\n tradeMarkers: tradeMarkers,\n timestamp: new Date(),\n };\n },\n\n /**\n * Generate simulated equity curve\n */\n generateEquityCurve(startValue, endValue, days) {\n const points = Math.min(days, 180); // Limit to 180 data points\n const curve = [];\n const trend = (endValue - startValue) / points;\n\n let value = startValue;\n const startTime = Date.now() - (days * 24 * 60 * 60 * 1000);\n\n for (let i = 0; i <= points; i++) {\n // Add some noise to make it realistic\n const noise = (Math.random() - 0.5) * (startValue * 0.02);\n value = value + trend + noise;\n value = Math.max(value, startValue * 0.7); // Floor at 70% of start\n\n curve.push({\n timestamp: new Date(startTime + (i * (days / points) * 24 * 60 * 60 * 1000)),\n value: value,\n });\n }\n\n // Ensure final value matches\n if (curve.length > 0) {\n curve[curve.length - 1].value = endValue;\n }\n\n return curve;\n },\n\n /**\n * Generate simulated trade markers\n */\n generateTradeMarkers(equityCurve, tradeCount) {\n const markers = [];\n const pointCount = equityCurve.length;\n\n for (let i = 0; i < Math.min(tradeCount, 50); i++) {\n const pointIndex = Math.floor(Math.random() * pointCount);\n const point = equityCurve[pointIndex];\n\n markers.push({\n timestamp: point.timestamp,\n type: Math.random() > 0.5 ? 'buy' : 'sell',\n price: point.value / 100, // Simulated price\n amount: Math.random() * 100,\n });\n }\n\n return markers.sort((a, b) => a.timestamp - b.timestamp);\n },\n\n /**\n * Render backtest results\n */\n renderBacktestResults(result) {\n // Hide config, show results\n el('bt-config-section').classList.add('hidden');\n el('bt-result-section').classList.remove('hidden');\n\n // Summary metrics\n const roiClass = result.totalReturn >= 0 ? 'positive' : 'negative';\n const roiSign = result.totalReturn >= 0 ? '+' : '';\n\n el('bt-result-roi').textContent = `${roiSign}${result.totalReturn.toFixed(2)}%`;\n el('bt-result-roi').className = `result-value ${roiClass}`;\n\n el('bt-result-final-value').textContent = `$${result.finalValue.toLocaleString(undefined, { minimumFractionDigits: 2, maximumFractionDigits: 2 })}`;\n el('bt-result-drawdown').textContent = `${result.maxDrawdown.toFixed(2)}%`;\n el('bt-result-trades').textContent = result.totalTrades;\n el('bt-result-winrate').textContent = `${result.winRate.toFixed(1)}%`;\n el('bt-result-sharpe').textContent = result.sharpeRatio.toFixed(2);\n el('bt-result-profit-factor').textContent = result.profitFactor.toFixed(2);\n\n // Risk grade with styling\n const gradeEl = el('bt-result-grade');\n gradeEl.textContent = result.riskGrade;\n gradeEl.className = `risk-grade grade-${result.riskGrade.toLowerCase()}`;\n\n // Period info\n el('bt-result-period').textContent = result.period;\n el('bt-result-asset').textContent = result.asset;\n\n // Render equity curve chart\n this.renderEquityCurveChart(result.equityCurve);\n },\n\n /**\n * Render simple equity curve chart using CSS\n */\n renderEquityCurveChart(equityCurve) {\n const container = el('bt-equity-chart');\n if (!container || equityCurve.length === 0) return;\n\n const values = equityCurve.map(p => p.value);\n const minVal = Math.min(...values);\n const maxVal = Math.max(...values);\n const range = maxVal - minVal || 1;\n\n // Create SVG chart\n const width = container.clientWidth || 300;\n const height = 120;\n const padding = 10;\n\n const points = equityCurve.map((point, i) => {\n const x = padding + ((width - 2 * padding) * i / (equityCurve.length - 1));\n const y = height - padding - ((point.value - minVal) / range) * (height - 2 * padding);\n return `${x},${y}`;\n }).join(' ');\n\n const isPositive = values[values.length - 1] >= values[0];\n const lineColor = isPositive ? 'var(--positive)' : 'var(--negative)';\n\n container.innerHTML = `\n <svg viewBox=\"0 0 ${width} ${height}\" preserveAspectRatio=\"none\" class=\"equity-svg\">\n <defs>\n <linearGradient id=\"equityGradient\" x1=\"0\" y1=\"0\" x2=\"0\" y2=\"1\">\n <stop offset=\"0%\" style=\"stop-color:${lineColor};stop-opacity:0.3\" />\n <stop offset=\"100%\" style=\"stop-color:${lineColor};stop-opacity:0\" />\n </linearGradient>\n </defs>\n <polygon\n points=\"${padding},${height - padding} ${points} ${width - padding},${height - padding}\"\n fill=\"url(#equityGradient)\"\n />\n <polyline\n points=\"${points}\"\n fill=\"none\"\n stroke=\"${lineColor}\"\n stroke-width=\"2\"\n stroke-linecap=\"round\"\n stroke-linejoin=\"round\"\n />\n </svg>\n <div class=\"chart-labels\">\n <span class=\"chart-label-start\">$${minVal.toLocaleString(undefined, { maximumFractionDigits: 0 })}</span>\n <span class=\"chart-label-end\">$${maxVal.toLocaleString(undefined, { maximumFractionDigits: 0 })}</span>\n </div>\n `;\n },\n\n /**\n * Run another backtest with same strategy\n */\n runAnotherBacktest() {\n el('bt-config-section').classList.remove('hidden');\n el('bt-result-section').classList.add('hidden');\n el('bt-run-btn').disabled = false;\n el('bt-run-btn').textContent = 'Run Backtest';\n },\n\n /**\n * Get recent backtest results\n */\n getRecentResults() {\n return BacktestState.results.slice(0, 10);\n },\n\n /**\n * Validate backtest configuration\n */\n validateConfig() {\n const errors = [];\n const config = BacktestState.config;\n\n if (!config.startDate) {\n errors.push('Start date is required');\n }\n\n if (!config.endDate) {\n errors.push('End date is required');\n }\n\n if (config.startDate && config.endDate) {\n const start = new Date(config.startDate);\n const end = new Date(config.endDate);\n\n if (start >= end) {\n errors.push('Start date must be before end date');\n }\n\n const days = (end - start) / (1000 * 60 * 60 * 24);\n if (days < 7) {\n errors.push('Backtest period must be at least 7 days');\n }\n\n if (days > 365) {\n errors.push('Backtest period cannot exceed 1 year');\n }\n }\n\n if (!config.initialCapital || config.initialCapital < 100) {\n errors.push('Initial capital must be at least $100');\n }\n\n if (config.initialCapital > 1000000) {\n errors.push('Initial capital cannot exceed $1,000,000');\n }\n\n return { valid: errors.length === 0, errors };\n },\n\n /**\n * Update configuration from inputs\n */\n updateConfig(field, value) {\n if (field === 'initialCapital') {\n BacktestState.config[field] = parseFloat(value) || 0;\n } else {\n BacktestState.config[field] = value;\n }\n },\n\n /**\n * Format date for input\n */\n formatDateForInput(date) {\n return date.toISOString().split('T')[0];\n },\n\n /**\n * Format period for display\n */\n formatPeriod(startDate, endDate) {\n const options = { month: 'short', year: 'numeric' };\n const start = startDate.toLocaleDateString('en-US', options);\n const end = endDate.toLocaleDateString('en-US', options);\n return `${start} - ${end}`;\n },\n\n /**\n * Format category for display\n */\n formatCategory(cat) {\n const labels = {\n momentum: 'Momentum',\n mean_reversion: 'Mean Reversion',\n arbitrage: 'Arbitrage',\n grid_trading: 'Grid Trading',\n yield_farming: 'Yield Farming',\n trend_following: 'Trend Following',\n };\n return labels[cat] || cat;\n },\n };\n\n /* --------------------------------------------------------\n Event Handlers Setup\n -------------------------------------------------------- */\n function setupEventHandlers() {\n // Close modal\n el('backtest-modal-overlay')?.addEventListener('click', () => {\n Backtesting.closeBacktestModal();\n });\n el('close-backtest-modal')?.addEventListener('click', () => {\n Backtesting.closeBacktestModal();\n });\n\n // Run backtest button\n el('bt-run-btn')?.addEventListener('click', () => {\n Backtesting.runBacktest();\n });\n\n // Run another backtest\n el('bt-run-another-btn')?.addEventListener('click', () => {\n Backtesting.runAnotherBacktest();\n });\n\n // Config inputs\n el('bt-asset-select')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('asset', e.target.value);\n });\n el('bt-timeframe-select')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('timeframe', e.target.value);\n });\n el('bt-start-date')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('startDate', e.target.value);\n });\n el('bt-end-date')?.addEventListener('change', (e) => {\n Backtesting.updateConfig('endDate', e.target.value);\n });\n el('bt-capital')?.addEventListener('input', (e) => {\n Backtesting.updateConfig('initialCapital', e.target.value);\n });\n }\n\n // Initialize when DOM is ready\n if (document.readyState === 'loading') {\n document.addEventListener('DOMContentLoaded', () => {\n Backtesting.init();\n setupEventHandlers();\n });\n } else {\n Backtesting.init();\n setupEventHandlers();\n }\n\n window.Backtesting = Backtesting;\n})();\n", | |
| "structuredPatch": [], | |
| "originalFile": null | |
| } | |
| } | |
| [2026-03-11T21:47:03.618Z] [INFO] [log_e2c25d] sending request { | |
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| [2026-03-11T21:47:03.619Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:47:03.619Z] [INFO] options: { | |
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| [2026-03-11T21:47:03.620Z] [INFO] body: { | |
| [2026-03-11T21:47:03.620Z] [INFO] model: 'claude-opus-4-5-20251101', | |
| [2026-03-11T21:47:03.620Z] [INFO] messages: [Array], | |
| [2026-03-11T21:47:03.620Z] [INFO] system: [Array], | |
| [2026-03-11T21:47:03.620Z] [INFO] tools: [Array], | |
| [2026-03-11T21:47:03.620Z] [INFO] tool_choice: undefined, | |
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| [2026-03-11T21:47:03.620Z] [INFO] max_tokens: 64000, | |
| [2026-03-11T21:47:03.621Z] [INFO] thinking: undefined, | |
| [2026-03-11T21:47:03.621Z] [INFO] temperature: 1, | |
| [2026-03-11T21:47:03.621Z] [INFO] stream: true | |
| [2026-03-11T21:47:03.621Z] [INFO] }, | |
| [2026-03-11T21:47:03.621Z] [INFO] timeout: 600000, | |
| [2026-03-11T21:47:03.621Z] [INFO] signal: AbortSignal { aborted: false }, | |
| [2026-03-11T21:47:03.621Z] [INFO] stream: true | |
| [2026-03-11T21:47:03.621Z] [INFO] }, | |
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| [2026-03-11T21:47:03.622Z] [INFO] 'anthropic-version': '2023-06-01', | |
| [2026-03-11T21:47:03.622Z] [INFO] authorization: '***', | |
| [2026-03-11T21:47:03.622Z] [INFO] 'content-type': 'application/json', | |
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| [2026-03-11T21:47:03.622Z] [INFO] 'x-stainless-lang': 'js', | |
| [2026-03-11T21:47:03.623Z] [INFO] 'x-stainless-os': 'Linux', | |
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| [2026-03-11T21:47:06.179Z] [INFO] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
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| [2026-03-11T21:47:06.198Z] [INFO] } ReadableStream { locked: false, state: 'readable', supportsBYOB: true } | |
| [2026-03-11T21:47:06.199Z] [INFO] [log_e2c25d] response parsed { | |
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| [2026-03-11T21:47:06.200Z] [INFO] status: 200, | |
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| { | |
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| "text": "Now let me add the backtesting modal HTML and styles to the miniapp index.html and styles.css. First, I need to add the modal HTML." | |
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| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "fe3e1b88-3544-45b6-9b4e-df7ca9300857" | |
| } | |
| [2026-03-11T21:47:07.932Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01QSuYKExMhJn35WAUwqH4Fk", | |
| "type": "tool_result", | |
| "content": " 590→ <div class=\"deploy-actions\">\n 591→ <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n 592→ <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n 593→ <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n 594→ <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n 595→ </svg>\n 596→ Deploy\n 597→ </button>\n 598→ </div>\n 599→ </div>\n 600→ </div>\n 601→\n 602→ </main>\n 603→ </div>\n 604→\n 605→ <!-- Scripts -->\n 606→ <script src=\"app.js\"></script>\n 607→ <script src=\"components/portfolio.js\"></script>\n 608→ <script src=\"components/agents.js\"></script>\n 609→ <script src=\"components/strategies.js\"></script>\n 610→ <script src=\"components/trades.js\"></script>\n 611→ <script src=\"components/onboarding.js\"></script>\n 612→ <script src=\"components/growth.js\"></script>\n 613→ <script src=\"components/marketplace.js\"></script>\n 614→</body>\n 615→</html>\n 616→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "de8d4f81-0920-4be0-bdb5-de073b86854f", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/miniapp/index.html", | |
| "content": " <div class=\"deploy-actions\">\n <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy\n </button>\n </div>\n </div>\n </div>\n\n </main>\n </div>\n\n <!-- Scripts -->\n <script src=\"app.js\"></script>\n <script src=\"components/portfolio.js\"></script>\n <script src=\"components/agents.js\"></script>\n <script src=\"components/strategies.js\"></script>\n <script src=\"components/trades.js\"></script>\n <script src=\"components/onboarding.js\"></script>\n <script src=\"components/growth.js\"></script>\n <script src=\"components/marketplace.js\"></script>\n</body>\n</html>\n", | |
| "numLines": 27, | |
| "startLine": 590, | |
| "totalLines": 616 | |
| } | |
| } | |
| } | |
| [2026-03-11T21:47:07.940Z] [INFO] [log_586d03] sending request { | |
| [2026-03-11T21:47:07.941Z] [INFO] method: 'post', | |
| [2026-03-11T21:47:07.941Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:47:07.941Z] [INFO] options: { | |
| [2026-03-11T21:47:07.941Z] [INFO] method: 'post', | |
| [2026-03-11T21:47:07.942Z] [INFO] path: '/v1/messages?beta=true', | |
| [2026-03-11T21:47:07.942Z] [INFO] body: { | |
| [2026-03-11T21:47:07.942Z] [INFO] model: 'claude-opus-4-5-20251101', | |
| [2026-03-11T21:47:07.942Z] [INFO] messages: [Array], | |
| [2026-03-11T21:47:07.942Z] [INFO] system: [Array], | |
| [2026-03-11T21:47:07.942Z] [INFO] tools: [Array], | |
| [2026-03-11T21:47:07.943Z] [INFO] tool_choice: undefined, | |
| [2026-03-11T21:47:07.943Z] [INFO] metadata: [Object], | |
| [2026-03-11T21:47:07.943Z] [INFO] max_tokens: 64000, | |
| [2026-03-11T21:47:07.943Z] [INFO] thinking: undefined, | |
| [2026-03-11T21:47:07.943Z] [INFO] temperature: 1, | |
| [2026-03-11T21:47:07.943Z] [INFO] stream: true | |
| [2026-03-11T21:47:07.943Z] [INFO] }, | |
| [2026-03-11T21:47:07.943Z] [INFO] timeout: 600000, | |
| [2026-03-11T21:47:07.944Z] [INFO] signal: AbortSignal { aborted: false }, | |
| [2026-03-11T21:47:07.944Z] [INFO] stream: true | |
| [2026-03-11T21:47:07.944Z] [INFO] }, | |
| [2026-03-11T21:47:07.944Z] [INFO] headers: { | |
| [2026-03-11T21:47:07.944Z] [INFO] accept: 'application/json', | |
| [2026-03-11T21:47:07.944Z] [INFO] 'anthropic-beta': 'claude-code-20250219,oauth-2025-04-20,interleaved-thinking-2025-05-14,context-management-2025-06-27,prompt-caching-scope-2026-01-05,advanced-tool-use-2025-11-20', | |
| [2026-03-11T21:47:07.944Z] [INFO] 'anthropic-dangerous-direct-browser-access': 'true', | |
| [2026-03-11T21:47:07.944Z] [INFO] 'anthropic-version': '2023-06-01', | |
| [2026-03-11T21:47:07.945Z] [INFO] authorization: '***', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'content-type': 'application/json', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'user-agent': 'claude-cli/2.1.72 (external, sdk-cli)', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'x-app': 'cli', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'x-stainless-arch': 'x64', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'x-stainless-lang': 'js', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'x-stainless-os': 'Linux', | |
| [2026-03-11T21:47:07.945Z] [INFO] 'x-stainless-package-version': '0.74.0', | |
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| [2026-03-11T21:47:07.946Z] [INFO] 'x-stainless-runtime': 'node', | |
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| [2026-03-11T21:47:11.066Z] [INFO] [log_586d03, request-id: "req_011CYx2YbRDMPsfBcLU36wZD"] post https://api.anthropic.com/v1/messages?beta=true succeeded with status 200 in 3125ms | |
| [2026-03-11T21:47:11.067Z] [INFO] [log_586d03] response start { | |
| [2026-03-11T21:47:11.067Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:47:11.068Z] [INFO] status: 200, | |
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| [2026-03-11T21:47:11.070Z] [INFO] 'anthropic-organization-id': '684cb0ba-85b8-4b30-a841-e92fb92cc97f', | |
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| [2026-03-11T21:47:11.074Z] [INFO] 'anthropic-ratelimit-unified-7d-reset': '1773374400', | |
| [2026-03-11T21:47:11.075Z] [INFO] 'anthropic-ratelimit-unified-7d-status': 'allowed_warning', | |
| [2026-03-11T21:47:11.076Z] [INFO] 'anthropic-ratelimit-unified-7d-surpassed-threshold': '0.75', | |
| [2026-03-11T21:47:11.077Z] [INFO] 'anthropic-ratelimit-unified-7d-utilization': '0.85', | |
| [2026-03-11T21:47:11.078Z] [INFO] 'anthropic-ratelimit-unified-fallback': 'available', | |
| [2026-03-11T21:47:11.078Z] [INFO] 'anthropic-ratelimit-unified-fallback-percentage': '0.5', | |
| [2026-03-11T21:47:11.078Z] [INFO] 'anthropic-ratelimit-unified-overage-disabled-reason': 'org_level_disabled', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'anthropic-ratelimit-unified-overage-status': 'rejected', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'anthropic-ratelimit-unified-representative-claim': 'seven_day', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'anthropic-ratelimit-unified-reset': '1773374400', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'anthropic-ratelimit-unified-status': 'allowed_warning', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'cache-control': 'no-cache', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'cf-cache-status': 'DYNAMIC', | |
| [2026-03-11T21:47:11.079Z] [INFO] 'cf-ray': '9dadc17eae651cbd-FRA', | |
| [2026-03-11T21:47:11.079Z] [INFO] connection: 'keep-alive', | |
| [2026-03-11T21:47:11.080Z] [INFO] 'content-encoding': 'gzip', | |
| [2026-03-11T21:47:11.080Z] [INFO] 'content-security-policy': "default-src 'none'; frame-ancestors 'none'", | |
| [2026-03-11T21:47:11.080Z] [INFO] 'content-type': 'text/event-stream; charset=utf-8', | |
| [2026-03-11T21:47:11.080Z] [INFO] date: 'Wed, 11 Mar 2026 21:47:11 GMT', | |
| [2026-03-11T21:47:11.080Z] [INFO] 'request-id': 'req_011CYx2YbRDMPsfBcLU36wZD', | |
| [2026-03-11T21:47:11.081Z] [INFO] server: 'cloudflare', | |
| [2026-03-11T21:47:11.082Z] [INFO] 'strict-transport-security': 'max-age=31536000; includeSubDomains; preload', | |
| [2026-03-11T21:47:11.082Z] [INFO] 'transfer-encoding': 'chunked', | |
| [2026-03-11T21:47:11.082Z] [INFO] vary: 'Accept-Encoding', | |
| [2026-03-11T21:47:11.083Z] [INFO] 'x-envoy-upstream-service-time': '2907', | |
| [2026-03-11T21:47:11.083Z] [INFO] 'x-robots-tag': 'none' | |
| [2026-03-11T21:47:11.083Z] [INFO] }, | |
| [2026-03-11T21:47:11.084Z] [INFO] durationMs: 3125 | |
| [2026-03-11T21:47:11.084Z] [INFO] } | |
| [2026-03-11T21:47:11.084Z] [INFO] response 200 https://api.anthropic.com/v1/messages?beta=true Headers { | |
| [2026-03-11T21:47:11.085Z] [INFO] date: 'Wed, 11 Mar 2026 21:47:11 GMT', | |
| [2026-03-11T21:47:11.085Z] [INFO] 'content-type': 'text/event-stream; charset=utf-8', | |
| [2026-03-11T21:47:11.086Z] [INFO] 'transfer-encoding': 'chunked', | |
| [2026-03-11T21:47:11.086Z] [INFO] connection: 'keep-alive', | |
| [2026-03-11T21:47:11.087Z] [INFO] 'cache-control': 'no-cache', | |
| [2026-03-11T21:47:11.087Z] [INFO] 'anthropic-ratelimit-unified-status': 'allowed_warning', | |
| [2026-03-11T21:47:11.087Z] [INFO] 'anthropic-ratelimit-unified-5h-status': 'allowed', | |
| [2026-03-11T21:47:11.089Z] [INFO] 'anthropic-ratelimit-unified-5h-reset': '1773273600', | |
| [2026-03-11T21:47:11.089Z] [INFO] 'anthropic-ratelimit-unified-5h-utilization': '0.62', | |
| [2026-03-11T21:47:11.089Z] [INFO] 'anthropic-ratelimit-unified-7d-status': 'allowed_warning', | |
| [2026-03-11T21:47:11.090Z] [INFO] 'anthropic-ratelimit-unified-7d-reset': '1773374400', | |
| [2026-03-11T21:47:11.090Z] [INFO] 'anthropic-ratelimit-unified-7d-utilization': '0.85', | |
| [2026-03-11T21:47:11.090Z] [INFO] 'anthropic-ratelimit-unified-7d-surpassed-threshold': '0.75', | |
| [2026-03-11T21:47:11.090Z] [INFO] 'anthropic-ratelimit-unified-representative-claim': 'seven_day', | |
| [2026-03-11T21:47:11.091Z] [INFO] 'anthropic-ratelimit-unified-fallback-percentage': '0.5', | |
| [2026-03-11T21:47:11.091Z] [INFO] 'anthropic-ratelimit-unified-fallback': 'available', | |
| [2026-03-11T21:47:11.091Z] [INFO] 'anthropic-ratelimit-unified-reset': '1773374400', | |
| [2026-03-11T21:47:11.091Z] [INFO] 'anthropic-ratelimit-unified-overage-disabled-reason': 'org_level_disabled', | |
| [2026-03-11T21:47:11.092Z] [INFO] 'anthropic-ratelimit-unified-overage-status': 'rejected', | |
| [2026-03-11T21:47:11.092Z] [INFO] 'request-id': 'req_011CYx2YbRDMPsfBcLU36wZD', | |
| [2026-03-11T21:47:11.092Z] [INFO] 'strict-transport-security': 'max-age=31536000; includeSubDomains; preload', | |
| [2026-03-11T21:47:11.092Z] [INFO] 'anthropic-organization-id': '684cb0ba-85b8-4b30-a841-e92fb92cc97f', | |
| [2026-03-11T21:47:11.093Z] [INFO] server: 'cloudflare', | |
| [2026-03-11T21:47:11.093Z] [INFO] 'x-envoy-upstream-service-time': '2907', | |
| [2026-03-11T21:47:11.093Z] [INFO] 'content-encoding': 'gzip', | |
| [2026-03-11T21:47:11.093Z] [INFO] vary: 'Accept-Encoding', | |
| [2026-03-11T21:47:11.093Z] [INFO] 'x-robots-tag': 'none', | |
| [2026-03-11T21:47:11.094Z] [INFO] 'content-security-policy': "default-src 'none'; frame-ancestors 'none'", | |
| [2026-03-11T21:47:11.094Z] [INFO] 'cf-cache-status': 'DYNAMIC', | |
| [2026-03-11T21:47:11.094Z] [INFO] 'cf-ray': '9dadc17eae651cbd-FRA' | |
| [2026-03-11T21:47:11.094Z] [INFO] } ReadableStream { locked: false, state: 'readable', supportsBYOB: true } | |
| [2026-03-11T21:47:11.094Z] [INFO] [log_586d03] response parsed { | |
| [2026-03-11T21:47:11.094Z] [INFO] url: 'https://api.anthropic.com/v1/messages?beta=true', | |
| [2026-03-11T21:47:11.094Z] [INFO] status: 200, | |
| [2026-03-11T21:47:11.094Z] [INFO] body: qG { | |
| [2026-03-11T21:47:11.095Z] [INFO] iterator: [AsyncGeneratorFunction: _], | |
| [2026-03-11T21:47:11.095Z] [INFO] controller: AbortController { signal: AbortSignal { aborted: false } } | |
| [2026-03-11T21:47:11.095Z] [INFO] }, | |
| [2026-03-11T21:47:11.095Z] [INFO] durationMs: 3126 | |
| [2026-03-11T21:47:11.096Z] [INFO] } | |
| [2026-03-11T21:47:43.704Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-5-20251101", | |
| "id": "msg_01LTwxbCi6ivnVMx3inoEMTM", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01ExZ7mt62rLyUrH7BpyJM7H", | |
| "name": "Edit", | |
| "input": { | |
| "replace_all": false, | |
| "file_path": "/tmp/gh-issue-solver-1773265304517/miniapp/index.html", | |
| "old_string": " <div class=\"deploy-actions\">\n <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy\n </button>\n </div>\n </div>\n </div>\n\n </main>\n </div>\n\n <!-- Scripts -->\n <script src=\"app.js\"></script>\n <script src=\"components/portfolio.js\"></script>\n <script src=\"components/agents.js\"></script>\n <script src=\"components/strategies.js\"></script>\n <script src=\"components/trades.js\"></script>\n <script src=\"components/onboarding.js\"></script>\n <script src=\"components/growth.js\"></script>\n <script src=\"components/marketplace.js\"></script>\n</body>\n</html>", | |
| "new_string": " <div class=\"deploy-actions\">\n <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy\n </button>\n </div>\n </div>\n </div>\n\n <!-- ============================== -->\n <!-- Backtest Modal (Issue #202) -->\n <!-- ============================== -->\n <div id=\"backtest-modal\" class=\"modal hidden\">\n <div class=\"modal-overlay\" id=\"backtest-modal-overlay\"></div>\n <div class=\"modal-sheet backtest-modal-sheet\">\n <div class=\"modal-handle\"></div>\n <div class=\"modal-header\">\n <h2 class=\"modal-title\">Run Backtest</h2>\n </div>\n\n <!-- Strategy Info -->\n <div class=\"backtest-strategy-info\">\n <div class=\"bt-strategy-name\" id=\"bt-strategy-name\">Strategy Name</div>\n <div class=\"bt-strategy-meta\" id=\"bt-strategy-meta\">by Author | Category</div>\n </div>\n\n <!-- Configuration Section -->\n <div id=\"bt-config-section\" class=\"backtest-config\">\n <div class=\"modal-section-title\">Backtest Configuration</div>\n\n <!-- Asset & Timeframe -->\n <div class=\"form-row\">\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-asset-select\">Asset</label>\n <select class=\"form-select\" id=\"bt-asset-select\">\n <option value=\"TON\">TON</option>\n <option value=\"BTC\">BTC</option>\n <option value=\"ETH\">ETH</option>\n </select>\n </div>\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-timeframe-select\">Timeframe</label>\n <select class=\"form-select\" id=\"bt-timeframe-select\">\n <option value=\"1h\">1 Hour</option>\n <option value=\"4h\">4 Hours</option>\n <option value=\"1d\">1 Day</option>\n </select>\n </div>\n </div>\n\n <!-- Date Range -->\n <div class=\"form-row\">\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-start-date\">Start Date</label>\n <input type=\"date\" class=\"form-input\" id=\"bt-start-date\" />\n </div>\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-end-date\">End Date</label>\n <input type=\"date\" class=\"form-input\" id=\"bt-end-date\" />\n </div>\n </div>\n\n <!-- Capital -->\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-capital\">Initial Capital (USD)</label>\n <input type=\"number\" class=\"form-input\" id=\"bt-capital\" value=\"10000\" min=\"100\" step=\"100\" />\n <div class=\"form-hint\">Minimum: $100</div>\n </div>\n\n <!-- Run Button -->\n <button class=\"primary-btn full-width\" id=\"bt-run-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n </svg>\n Run Backtest\n </button>\n </div>\n\n <!-- Results Section -->\n <div id=\"bt-result-section\" class=\"backtest-results hidden\">\n <div class=\"modal-section-title\">Backtest Results</div>\n\n <!-- Result Summary -->\n <div class=\"bt-result-summary\">\n <div class=\"bt-result-header\">\n <span class=\"bt-result-asset\" id=\"bt-result-asset\">TON</span>\n <span class=\"bt-result-period\" id=\"bt-result-period\">Jan 2024 - Jun 2024</span>\n </div>\n\n <!-- Main Result -->\n <div class=\"bt-result-main\">\n <div class=\"bt-result-roi-container\">\n <div class=\"bt-result-label\">Total Return</div>\n <div class=\"result-value positive\" id=\"bt-result-roi\">+0.00%</div>\n </div>\n <div class=\"bt-result-value-container\">\n <div class=\"bt-result-label\">Final Value</div>\n <div class=\"result-value\" id=\"bt-result-final-value\">$10,000.00</div>\n </div>\n </div>\n </div>\n\n <!-- Equity Curve Chart -->\n <div class=\"bt-equity-chart-container\">\n <div class=\"bt-chart-title\">Equity Curve</div>\n <div class=\"bt-equity-chart\" id=\"bt-equity-chart\"></div>\n </div>\n\n <!-- Metrics Grid -->\n <div class=\"modal-stats-grid bt-metrics-grid\">\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Max Drawdown</div>\n <div class=\"modal-stat-value negative\" id=\"bt-result-drawdown\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Total Trades</div>\n <div class=\"modal-stat-value\" id=\"bt-result-trades\">0</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Win Rate</div>\n <div class=\"modal-stat-value\" id=\"bt-result-winrate\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Sharpe Ratio</div>\n <div class=\"modal-stat-value\" id=\"bt-result-sharpe\">0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Profit Factor</div>\n <div class=\"modal-stat-value\" id=\"bt-result-profit-factor\">0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Risk Grade</div>\n <div class=\"risk-grade grade-c\" id=\"bt-result-grade\">C</div>\n </div>\n </div>\n\n <!-- Action Buttons -->\n <div class=\"bt-result-actions\">\n <button class=\"secondary-btn\" id=\"bt-run-another-btn\">\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"23 4 23 10 17 10\"></polyline>\n <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n </svg>\n Run Another\n </button>\n <button class=\"primary-btn\" id=\"bt-deploy-btn\" onclick=\"Backtesting.closeBacktestModal(); Marketplace.openDeployModal(Backtesting.BacktestState?.selectedStrategy?.id);\">\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy Strategy\n </button>\n </div>\n </div>\n\n <button class=\"close-modal-btn\" id=\"close-backtest-modal\">Close</button>\n </div>\n </div>\n\n </main>\n </div>\n\n <!-- Scripts -->\n <script src=\"app.js\"></script>\n <script src=\"components/portfolio.js\"></script>\n <script src=\"components/agents.js\"></script>\n <script src=\"components/strategies.js\"></script>\n <script src=\"components/trades.js\"></script>\n <script src=\"components/onboarding.js\"></script>\n <script src=\"components/growth.js\"></script>\n <script src=\"components/marketplace.js\"></script>\n <script src=\"components/backtesting.js\"></script>\n</body>\n</html>" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 0, | |
| "cache_creation_input_tokens": 592, | |
| "cache_read_input_tokens": 116410, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 592 | |
| }, | |
| "output_tokens": 25, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "420acc54-6d9e-4db2-8f25-9e64d5b117f2" | |
| } | |
| [2026-03-11T21:47:43.724Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01ExZ7mt62rLyUrH7BpyJM7H", | |
| "type": "tool_result", | |
| "content": "The file /tmp/gh-issue-solver-1773265304517/miniapp/index.html has been updated successfully." | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "84e7c275-a540-43ac-a23c-d81714a35651", | |
| "uuid": "d7be0aec-c0ce-493e-9a93-4481ce81c9d2", | |
| "tool_use_result": { | |
| "filePath": "/tmp/gh-issue-solver-1773265304517/miniapp/index.html", | |
| "oldString": " <div class=\"deploy-actions\">\n <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy\n </button>\n </div>\n </div>\n </div>\n\n </main>\n </div>\n\n <!-- Scripts -->\n <script src=\"app.js\"></script>\n <script src=\"components/portfolio.js\"></script>\n <script src=\"components/agents.js\"></script>\n <script src=\"components/strategies.js\"></script>\n <script src=\"components/trades.js\"></script>\n <script src=\"components/onboarding.js\"></script>\n <script src=\"components/growth.js\"></script>\n <script src=\"components/marketplace.js\"></script>\n</body>\n</html>", | |
| "newString": " <div class=\"deploy-actions\">\n <button class=\"secondary-btn\" id=\"cancel-deploy-btn\">Cancel</button>\n <button class=\"primary-btn\" id=\"confirm-deploy-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy\n </button>\n </div>\n </div>\n </div>\n\n <!-- ============================== -->\n <!-- Backtest Modal (Issue #202) -->\n <!-- ============================== -->\n <div id=\"backtest-modal\" class=\"modal hidden\">\n <div class=\"modal-overlay\" id=\"backtest-modal-overlay\"></div>\n <div class=\"modal-sheet backtest-modal-sheet\">\n <div class=\"modal-handle\"></div>\n <div class=\"modal-header\">\n <h2 class=\"modal-title\">Run Backtest</h2>\n </div>\n\n <!-- Strategy Info -->\n <div class=\"backtest-strategy-info\">\n <div class=\"bt-strategy-name\" id=\"bt-strategy-name\">Strategy Name</div>\n <div class=\"bt-strategy-meta\" id=\"bt-strategy-meta\">by Author | Category</div>\n </div>\n\n <!-- Configuration Section -->\n <div id=\"bt-config-section\" class=\"backtest-config\">\n <div class=\"modal-section-title\">Backtest Configuration</div>\n\n <!-- Asset & Timeframe -->\n <div class=\"form-row\">\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-asset-select\">Asset</label>\n <select class=\"form-select\" id=\"bt-asset-select\">\n <option value=\"TON\">TON</option>\n <option value=\"BTC\">BTC</option>\n <option value=\"ETH\">ETH</option>\n </select>\n </div>\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-timeframe-select\">Timeframe</label>\n <select class=\"form-select\" id=\"bt-timeframe-select\">\n <option value=\"1h\">1 Hour</option>\n <option value=\"4h\">4 Hours</option>\n <option value=\"1d\">1 Day</option>\n </select>\n </div>\n </div>\n\n <!-- Date Range -->\n <div class=\"form-row\">\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-start-date\">Start Date</label>\n <input type=\"date\" class=\"form-input\" id=\"bt-start-date\" />\n </div>\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-end-date\">End Date</label>\n <input type=\"date\" class=\"form-input\" id=\"bt-end-date\" />\n </div>\n </div>\n\n <!-- Capital -->\n <div class=\"form-group\">\n <label class=\"form-label\" for=\"bt-capital\">Initial Capital (USD)</label>\n <input type=\"number\" class=\"form-input\" id=\"bt-capital\" value=\"10000\" min=\"100\" step=\"100\" />\n <div class=\"form-hint\">Minimum: $100</div>\n </div>\n\n <!-- Run Button -->\n <button class=\"primary-btn full-width\" id=\"bt-run-btn\">\n <svg width=\"18\" height=\"18\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"22 12 18 12 15 21 9 3 6 12 2 12\"></polyline>\n </svg>\n Run Backtest\n </button>\n </div>\n\n <!-- Results Section -->\n <div id=\"bt-result-section\" class=\"backtest-results hidden\">\n <div class=\"modal-section-title\">Backtest Results</div>\n\n <!-- Result Summary -->\n <div class=\"bt-result-summary\">\n <div class=\"bt-result-header\">\n <span class=\"bt-result-asset\" id=\"bt-result-asset\">TON</span>\n <span class=\"bt-result-period\" id=\"bt-result-period\">Jan 2024 - Jun 2024</span>\n </div>\n\n <!-- Main Result -->\n <div class=\"bt-result-main\">\n <div class=\"bt-result-roi-container\">\n <div class=\"bt-result-label\">Total Return</div>\n <div class=\"result-value positive\" id=\"bt-result-roi\">+0.00%</div>\n </div>\n <div class=\"bt-result-value-container\">\n <div class=\"bt-result-label\">Final Value</div>\n <div class=\"result-value\" id=\"bt-result-final-value\">$10,000.00</div>\n </div>\n </div>\n </div>\n\n <!-- Equity Curve Chart -->\n <div class=\"bt-equity-chart-container\">\n <div class=\"bt-chart-title\">Equity Curve</div>\n <div class=\"bt-equity-chart\" id=\"bt-equity-chart\"></div>\n </div>\n\n <!-- Metrics Grid -->\n <div class=\"modal-stats-grid bt-metrics-grid\">\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Max Drawdown</div>\n <div class=\"modal-stat-value negative\" id=\"bt-result-drawdown\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Total Trades</div>\n <div class=\"modal-stat-value\" id=\"bt-result-trades\">0</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Win Rate</div>\n <div class=\"modal-stat-value\" id=\"bt-result-winrate\">0%</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Sharpe Ratio</div>\n <div class=\"modal-stat-value\" id=\"bt-result-sharpe\">0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Profit Factor</div>\n <div class=\"modal-stat-value\" id=\"bt-result-profit-factor\">0.00</div>\n </div>\n <div class=\"modal-stat\">\n <div class=\"modal-stat-label\">Risk Grade</div>\n <div class=\"risk-grade grade-c\" id=\"bt-result-grade\">C</div>\n </div>\n </div>\n\n <!-- Action Buttons -->\n <div class=\"bt-result-actions\">\n <button class=\"secondary-btn\" id=\"bt-run-another-btn\">\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polyline points=\"23 4 23 10 17 10\"></polyline>\n <path d=\"M20.49 15a9 9 0 1 1-2.12-9.36L23 10\"></path>\n </svg>\n Run Another\n </button>\n <button class=\"primary-btn\" id=\"bt-deploy-btn\" onclick=\"Backtesting.closeBacktestModal(); Marketplace.openDeployModal(Backtesting.BacktestState?.selectedStrategy?.id);\">\n <svg width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\">\n <polygon points=\"5 3 19 12 5 21 5 3\"></polygon>\n </svg>\n Deploy Strategy\n </button>\n </div>\n </div>\n\n <button class=\"close-modal-btn\" id=\"close-backtest-modal\">Close</button>\n </div>\n </div>\n\n </main>\n </div>\n\n <!-- Scripts -->\n <script src=\"app.js\"></script>\n <script src=\"components/portfolio.js\"></script>\n <script src=\"components/agents.js\"></script>\n <script src=\"components/strategies.js\"></script>\n <script src=\"components/trades.js\"></script>\n <script src=\"components/onboarding.js\"></script>\n <script src=\"components/growth.js\"></script>\n <script src=\"components/marketplace.js\"></script>\n <script src=\"components/backtesting.js\"></script>\n</body>\n</html>", |
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