Overfitting vs Training Set

Cryptocurrency trading model optimization to historical data that appears profitable in backtests but fails in live trading because parameters accidentally fit random noise rather than capturing genuine predictive patterns.

A labeled dataset used to teach machine learning algorithms patterns by showing examples with both inputs and correct outputs, enabling the algorithm to learn relationships before making predictions on unseen data.