When Synthetic Data Isn't Enough: A Real Talk About Validating Financial ML Models
This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.
Subtitle: Building a real-time order-flow imbalance predictor with LightGBM, and why specifying your model's limitations is just as important as reporting its accuracy. In the ML community, we love to celebrate the shiny metrics (AUC, F1, Sharpe Ratio). But in the real world, validation is brutally…
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- 2026-09-04 13:58 · DEV Community — Machine Learning
When Synthetic Data Isn't Enough: A Real Talk About Validating Financial ML Models