Mean-reversion and trend-following strategies have some kind of a theory behind them that explains why they might work, if implemented well. Pattern-recognition, on the other hand, seems like nothing more than data mining and overfitting. Could patterns possibly have any predictive value? In other words, is there any theoretical reason why a pattern observed in historical data would be repeated in the future, other than random chance or self-fulfilling prophecy where the pattern "works" because enough traders use it?
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