Indicator guide
Fibonacci Retracements Backtesting Guide
Fibonacci Retracements is a price levels derived from ratios applied between selected swing points. A valid backtest converts its readings into explicit, time-aware rules and evaluates them after costs without assuming profitability.
How Fibonacci Retracements is commonly used
Researchers use Fibonacci Retracements for retracement entries, confluence filters, and target or stop placement. The indicator should be calculated only from information available at each simulated decision time.
Parameters to define
State the swing-selection rule and ratio set. 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
- swing-selection rule and ratio set
- Signal timing and execution price
- Fees, spread, and slippage
- Out-of-sample stability
Questions and answers
How do I backtest Fibonacci Retracements?
Define the Fibonacci Retracements calculation and signal rules, prevent future data from entering each decision, apply realistic execution costs, and validate on a separate period.