Overfitting vs System Refinement

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.

The iterative process of testing, analyzing, and improving a trading system by identifying weaknesses, optimizing parameters, and adjusting rules based on performance data to maximize risk-adjusted returns over time.