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The RBreakerStrategy is a trading strategy that aims to generate profits by identifying breakouts in the market. Here is a short description of what the strategy does:
The strategy calculates various price levels based on the previous day's high, low, and close prices. These levels include the setup level for selling (Ssetup) and buying (Bsetup), the entry levels for selling (Senter) and buying (Benter), and the breakout levels for selling (Sbreak) and buying (Bbreak).
The strategy uses these price levels to determine entry and exit points for trades.
It looks for specific conditions to trigger a trade: For entering a long position: If the current closing price exceeds the Bbreak level or the Benter level, and the previous closing price was below these levels.
Additionally, if the highest price within the current day (after the end time specified) is below the Bsetup level, and the potential profit from entering the trade is greater than a fixed size (fixed_size). For entering a short position: If the current closing price falls below the Sbreak level or the Senter level, and the previous closing price was above these levels. Additionally, if the highest price within the current day (after the end time specified) exceeds the Ssetup level, and the potential profit from entering the trade is greater than a fixed size (fixed_size). The strategy also includes exit conditions for both long and short positions: For exiting a long position: If the highest price within the current day falls below the Sbreak level, or the current closing price falls below the Senter level, or the highest price within the current day exceeds the Ssetup level, or the current time exceeds a specified trade time (TradeTime). For exiting a short position: If the current closing price exceeds the Bbreak level, or the current closing price exceeds the Benter level, or the lowest price within the current day exceeds the Bsetup level, or the current time exceeds the specified trade time (TradeTime). The strategy utilizes the Freqtrade framework and requires the pandas, talib, and datetime libraries. By backtesting this strategy on historical market data, the website can evaluate its performance and determine its profitability and effectiveness in different market conditions.
The strategy uses these price levels to determine entry and exit points for trades.
It looks for specific conditions to trigger a trade: For entering a long position: If the current closing price exceeds the Bbreak level or the Benter level, and the previous closing price was below these levels.
Additionally, if the highest price within the current day (after the end time specified) is below the Bsetup level, and the potential profit from entering the trade is greater than a fixed size (fixed_size). For entering a short position: If the current closing price falls below the Sbreak level or the Senter level, and the previous closing price was above these levels. Additionally, if the highest price within the current day (after the end time specified) exceeds the Ssetup level, and the potential profit from entering the trade is greater than a fixed size (fixed_size). The strategy also includes exit conditions for both long and short positions: For exiting a long position: If the highest price within the current day falls below the Sbreak level, or the current closing price falls below the Senter level, or the highest price within the current day exceeds the Ssetup level, or the current time exceeds a specified trade time (TradeTime). For exiting a short position: If the current closing price exceeds the Bbreak level, or the current closing price exceeds the Benter level, or the lowest price within the current day exceeds the Bsetup level, or the current time exceeds the specified trade time (TradeTime). The strategy utilizes the Freqtrade framework and requires the pandas, talib, and datetime libraries. By backtesting this strategy on historical market data, the website can evaluate its performance and determine its profitability and effectiveness in different market conditions.
Biased Entry Signals:
20Biased Exit Signals:
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stoploss: -0.265 timeframe: 5m hash(sha256): 8f3762fc957345de11916556fdf894fa67ca0ca2d994f16a613f0e8dafb79432 indicators: high close TradeTime date low dataframedate
No similar strategies found. (based on used indicators)
last change: 2023-07-04 22:47:54