Fibonacci Retracement Strategy Optimization for TradingView
Optimize Fibonacci Retracement strategy parameters on TradingView with Pineify grid search. Test entry levels, stop loss, take profit, and lookback across thousands of combos.
Add to Chrome FreeBuilding a Fibonacci Retracement Strategy
Fibonacci Retracement is a popular tool that identifies potential support and resistance levels based on the Fibonacci sequence. Traders use these retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) to find entry points during pullbacks in a trend. A typical strategy enters a position when price retraces to a Fibonacci level, places a stop loss below the next level, and sets a take profit at an extension level.
The key parameters that affect Fibonacci strategy performance are: which retracement level to use for entry, how far to place the stop loss, what extension level to target for profit, and how many bars to use for the swing high/low detection. Each of these parameters changes your risk-reward ratio and overall strategy behavior significantly.
Optimizable Parameters
| Parameter | Description | Typical Range |
|---|---|---|
| Entry Level | Fibonacci retracement level that triggers a trade entry | 0.236 / 0.382 / 0.5 / 0.618 / 0.786 |
| Stop Loss Level | Fibonacci level below entry for stop loss placement | 0.618 / 0.786 / 1.0 / 1.272 |
| Take Profit Level | Fibonacci extension level as take profit target | 1.272 / 1.618 / 2.0 / 2.618 |
| Lookback Bars | Number of bars to identify swing high and low | 20 - 100 (step 10) |
Real Optimization Run
I ran a grid search on a Fibonacci retracement strategy testing entry levels 0.382, 0.5, 0.618, stop losses at 0.786 and 1.0, take profits at 1.272 and 1.618, and lookback periods 20-60 step 10. That is 3 x 2 x 2 x 5 = 60 combinations. The optimization finished in roughly 3 minutes on EURUSD 4-hour data. Best result used entry at 0.618, stop at 0.786, take profit at 1.618, and lookback 40, achieving a profit factor of 2.3. I expected the 0.382 entry to do better but it got stopped out more frequently in choppy markets. Not sure this setup works as well on lower timeframes because the swing detection gets noisy. Your mileage may vary.
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