Indicator guide
Bollinger Bands Backtesting Guide
Bollinger Bands is a volatility envelope placed around a moving average. A valid backtest converts its readings into explicit, time-aware rules and evaluates them after costs without assuming profitability.
How Bollinger Bands is commonly used
Researchers use Bollinger Bands for band breakouts, mean reversion, bandwidth, and squeeze conditions. The indicator should be calculated only from information available at each simulated decision time.
Parameters to define
State the lookback period and standard-deviation multiplier. Parameter choices affect signal frequency and lag, so compare a limited, predefined range rather than selecting one value after reviewing the full history.
How to evaluate a test
Review net return, maximum drawdown, volatility, trade count, win/loss size, exposure, and behavior across subperiods. Compare with a simple benchmark and test unseen data.
Research checklist
- lookback period and standard-deviation multiplier
- Signal timing and execution price
- Fees, spread, and slippage
- Out-of-sample stability
Questions and answers
How do I backtest Bollinger Bands?
Define the Bollinger Bands calculation and signal rules, prevent future data from entering each decision, apply realistic execution costs, and validate on a separate period.