Overfitting vs Walk-Forward Validation

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.

Walk-forward validation is a backtesting discipline that tests a strategy on out-of-sample historical data never used during development, verifying that its edge generalises beyond the period it was designed on.