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Glossary

Backtesting

Definition

Backtesting is the process of testing a trading strategy on historical data to evaluate how it would have performed. It provides statistical metrics like win rate, expectancy, and max drawdown for the strategy.

Backtesting is the first step in validating any trading strategy. By applying your entry/exit rules to historical price data, you get an objective assessment of the strategy's performance without risking real money. Key metrics to examine include win rate, average R-multiple, maximum drawdown, Sharpe ratio, and total return.

However, backtesting has significant limitations. Past performance doesn't guarantee future results, and it's easy to over-optimize (curve-fit) a strategy to historical data. A strategy that works perfectly on past data may fail in live trading due to changing market conditions, execution differences, or psychological factors.

For prop traders, backtesting should specifically test whether a strategy can meet the firm's requirements: Can it hit the profit target within the time limit while staying within drawdown rules? PropJournal allows you to overlay your firm's specific rules on backtest results to see if the strategy would have passed the challenge.

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