Backtesting Fidelity

Backtesting fidelity refers to how accurately a simulation reflects the real-world performance of a trading strategy using historical data. High fidelity requires accounting for factors like market impact, latency, slippage, and fee structures, which are often overlooked in simpler models.

In the complex world of crypto derivatives, achieving high fidelity is difficult because historical data may not capture the nuances of order book depth or the impact of extreme volatility events. Without high fidelity, a strategy might appear profitable in a simulation but fail miserably when deployed in a live market.

Professional traders invest significant time in creating realistic environments that mirror the actual conditions of the exchanges they trade on. This ensures that their expectations are grounded in reality and that their risk management is robust.