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dotnet add package StockSharp.Strategies.0084_ATR_Exhaustion.py --version 5.0.1

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README

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 = 14
    • AtrAvgPeriod = 20
    • AtrMultiplier = 1.5
    • MaPeriod = 20
    • StopLoss = 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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