Backtesting Models

Backtesting is the process of testing a trading strategy using historical data to see how it would have performed in the past. This allows traders to evaluate the viability of their strategy and identify potential flaws before deploying real capital.

In cryptocurrency, backtesting must account for the rapid evolution of the market, as strategies that worked in previous cycles may not be effective today. Key factors to include in backtesting are transaction costs, slippage, and the impact of extreme market events.

If a model shows high returns in backtesting but ignores the reality of liquidity constraints, it will likely fail in live trading. It is a critical step in the development of any quantitative trading system.