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dotnet add package StockSharp.Strategies.0102_Harami_Bearish.py --version 5.0.1

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README

Bearish Harami Strategy (Python Version)

The Bearish Harami is the inverse of the bullish version, appearing after an upswing. Here a small candle forms completely inside the prior bullish bar, hinting that upward momentum is stalling.

Testing indicates an average annual return of about 43%. It performs best in the stocks market.

The strategy sells short when that inside candle closes, betting on a reversal as buyers lose conviction.

A percent stop above the pattern high caps the risk and the trade exits if price breaks to new highs.

Details

  • Entry Criteria: pattern match
  • Long/Short: Both
  • Exit Criteria: stop-loss or opposite signal
  • Stops: Yes, percent based
  • Default Values:
    • CandleType = 15 minute
    • StopLoss = 2%
  • Filters:
    • Category: Pattern
    • Direction: Both
    • Indicators: Candlestick
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk level: Medium

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