AI pattern analysis • persistent memory • backtesting • adaptive learning
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The backtester simulates predictions chronologically and never uses future results when predicting an earlier result. This helps measure whether the model actually learned useful patterns instead of only displaying a high confidence number.
After a prediction, record the actual color. The adaptive model uses this feedback to update its weights and color-specific performance. It does not guarantee future outcomes.