Go read any ML trading tutorial online. It's always the same: download some OHLCV data, train a model, show a backtest chart that goes up and to the right, collect Medium claps.
Nobody talks about what happens when you try to run that model every single day. When you need to retrain monthly without breaking the thing that's already trading. When the feature your model was trained on doesn't exist at inference time. When your processing job takes 8 hours and your data is stale by the time training starts.
