What Is ‘Walk-Forward Optimization’?

Walk-forward optimization is a technique used in backtesting to combat overfitting. It involves repeatedly optimizing the trading strategy's parameters on a segment of historical data (in-sample) and then testing the optimized parameters on the subsequent, unseen data (out-of-sample).

This process simulates live trading more accurately.

How Do Stress Tests Help Determine the Adequacy of a Default Waterfall?
What Is the Difference between “Implied Volatility” and “Historical Volatility”?
What Is the Difference between Historical and Implied Volatility?
How Do Stress Tests Complement the Standard Initial Margin Calculation?
Differentiate between Historical Volatility and Implied Volatility
How Does the Randomness in PoA Selection Relate to Random Walk Theory in Finance?
What Is a “Proposer-Builder Separation” (PBS) and Its Impact on MEV?
What Is the Benefit of a Pool Adjusting the Share Difficulty Based on the Individual Miner’s Hardware?

Glossar