What strategies can I employ to prevent overfitting and ensure the robustness of my trading algorithm's performance during backtesting?

What strategies can I employ to prevent overfitting and ensure the robustness of my trading algorithm’s performance during backtesting?

To prevent overfitting, techniques like cross-validation, walk-forward testing, and parameter sensitivity analysis can be implemented.

These practices help ensure that your algorithm’s performance is not just optimized for historical data.