Feature engineering, walk-forward validation, cost-aware evaluation, and the leakage revise loop
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One Honest Path
• Features and labels are built from information available at decision time
• Models train on the past and are scored on an untouched next window
• The split rolls forward so every test block is out-of-sample
Stop Conditions
• Accuracy that looks too good usually signals look-ahead leakage
• A purge gap removes overlapping label windows near the split
• Edge that vanishes after transaction costs does not ship
What Ships
• Results are net of costs and reported out-of-sample
• The revise loop cuts leaky features before another pass
• Paper trading precedes any live capital
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