ATR Exhaustion Strategy (Python)
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ATR Exhaustion Strategy (Python Version)
A sudden surge in Average True Range indicates expanding volatility that can quickly fade. This strategy looks for ATR readings that spike above a moving average by a configurable multiplier. When coupled with a reversal candle it aims to capture the subsequent contraction.
Testing indicates an average annual return of about 139%. It performs best in the stocks market.
Each bar updates ATR and its own average. If ATR exceeds the average by the multiplier and the candle closes opposite the prior move, a trade is opened. The stop-loss uses an ATR multiple as well, anchoring risk to current volatility levels.
Positions typically rely on the stop for exit, seeking a swift retracement after the volatility burst subsides.
Details
- Entry Criteria: ATR spike above average with reversal candle.
- Long/Short: Both.
- Exit Criteria: Stop-loss.
- Stops: Yes, ATR based.
- Default Values:
AtrPeriod= 14AtrAvgPeriod= 20AtrMultiplier= 1.5MaPeriod= 20StopLoss= 2%CandleType= 5 minute
- Filters:
- Category: Reversal
- Direction: Both
- Indicators: ATR, MA
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Medium
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