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dotnet add package StockSharp.Strategies.0090_Donchian_Reversal.py --version 5.0.1

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README

Donchian Channel Reversal Strategy (Python Version)

Donchian Channels mark recent highs and lows over a chosen period. Prices that pierce those boundaries and then reverse can signal exhaustion. This strategy watches for closes back inside the channel after a brief breakout.

Testing indicates an average annual return of about 157%. It performs best in the crypto market.

If the previous close was below the lower band and the current close moves back above it, a long trade is taken. Conversely, if the prior close was above the upper band and price falls back inside, a short is opened. A percentage stop manages risk in both cases.

By trading only after a failed breakout this approach attempts to capture false moves that quickly retrace.

Details

  • Entry Criteria: Price closes back inside Donchian Channel after breaching upper or lower band.
  • Long/Short: Both.
  • Exit Criteria: Stop-loss.
  • Stops: Yes, percentage based.
  • Default Values:
    • Period = 20
    • StopLoss = 2%
    • CandleType = 15 minute
  • Filters:
    • Category: Reversal
    • Direction: Both
    • Indicators: Donchian Channel
    • Stops: Yes
    • Complexity: Basic
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk level: Medium

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