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The ADXMomentum strategy is a trading strategy that uses the Average Directional Index (ADX) and Momentum indicators to generate buy and sell signals. Here's a breakdown of how the strategy works:
The strategy requires a minimum of 20 candles before producing valid signals. Indicators:
ADX: Calculates the strength of a trend.
PLUS_DI: Calculates the positive directional indicator.
MINUS_DI: Calculates the negative directional indicator.
SAR: Calculates the stop and reverse (SAR) indicator. MOM: Calculates the momentum indicator. Buy Signal: The strategy generates a buy signal when the following conditions are met: ADX value is greater than 25. Momentum indicator (MOM) is positive. Positive directional indicator (PLUS_DI) is greater than 25. PLUS_DI is greater than MINUS_DI. Sell Signal: The strategy generates a sell signal when the following conditions are met: ADX value is greater than 25. Momentum indicator (MOM) is negative. Negative directional indicator (MINUS_DI) is greater than 25. PLUS_DI is less than MINUS_DI. Risk Management: Minimal ROI (Return on Investment): The strategy is designed to achieve a minimum ROI of 0.01. Stop Loss: The optimal stop loss for the strategy is set at -0.25. Timeframe: The strategy is optimized for a 1-hour timeframe. Note: This strategy was converted from a C# implementation available on GitHub.
PLUS_DI: Calculates the positive directional indicator.
MINUS_DI: Calculates the negative directional indicator.
SAR: Calculates the stop and reverse (SAR) indicator. MOM: Calculates the momentum indicator. Buy Signal: The strategy generates a buy signal when the following conditions are met: ADX value is greater than 25. Momentum indicator (MOM) is positive. Positive directional indicator (PLUS_DI) is greater than 25. PLUS_DI is greater than MINUS_DI. Sell Signal: The strategy generates a sell signal when the following conditions are met: ADX value is greater than 25. Momentum indicator (MOM) is negative. Negative directional indicator (MINUS_DI) is greater than 25. PLUS_DI is less than MINUS_DI. Risk Management: Minimal ROI (Return on Investment): The strategy is designed to achieve a minimum ROI of 0.01. Stop Loss: The optimal stop loss for the strategy is set at -0.25. Timeframe: The strategy is optimized for a 1-hour timeframe. Note: This strategy was converted from a C# implementation available on GitHub.
stoploss: -0.25 timeframe: 1h hash(sha256): 26f99b83403440feddb8af5e2feed76de9610f66dc15cd4d36f9a875eff1296e
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last change: 2022-07-02 19:54:08