Model Backtesting

Model backtesting is the systematic process of testing a financial model using historical data to evaluate its performance and predictive accuracy before applying it to live markets. By running a model against past price action, traders and developers can determine if their volatility forecasts or trading strategies would have been profitable or risk-compliant in previous market cycles.

This process is crucial for identifying flaws, such as overfitting, where a model performs well on past data but fails to generalize to new, unseen market conditions. In the context of derivatives, backtesting helps validate the assumptions made about asset behavior and market liquidity.

It allows for the adjustment of parameters to better suit the specific characteristics of crypto assets. Robust backtesting is a fundamental pillar of disciplined quantitative trading and risk management.