Overfitting vs System Expectancy

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 single mathematical measure expressing the average amount a trading system gains or loses per trade across a large sample, calculated by combining win rate with average winner and average loser sizes.