AI · Practice · 2026-10-28 02:07
Training a stock pattern scoring model built from structure, volume, and breakout sub-scores, the author shares six lessons on how such models fool themselves and details safeguards against overfitting, including time-series splits, purged cross-validation, and a frozen holdout set.
Source: www.stockdataanalytics.com
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