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The provided code represents a trading strategy called "MyAwesomeStrategy" for backtesting purposes. Here's a short description of what the strategy does:
The strategy uses daily timeframe data. It requires at least 25 previous candles before the strategy signals become valid.
The strategy has predefined ROI (Return on Investment) levels for different time periods: 60, 30, 20, and 0 days.
A stop loss of -10% is set for the strategy.
Trailing stop is disabled. The strategy uses a sell signal and allows selling for both profit and loss. The ROI is not ignored if a buy signal is generated. The strategy defines several parameters that control the buying behavior, such as ADX (Average Directional Index), RSI (Relative Strength Index), and trigger type (bb_lower or macd_cross_signal). Indicators are populated using data from the dataframe, including ADX, RSI, MACD (Moving Average Convergence Divergence), and Bollinger Bands. The buy trend is determined based on various conditions, including ADX and RSI thresholds, and trigger type (bb_lower or macd_cross_signal). Volume is checked to ensure it's not zero. The sell trend is not implemented in the provided code. Overall, the strategy aims to generate buy signals based on certain technical indicators and conditions, allowing users to backtest and evaluate its performance.
The strategy has predefined ROI (Return on Investment) levels for different time periods: 60, 30, 20, and 0 days.
A stop loss of -10% is set for the strategy.
Trailing stop is disabled. The strategy uses a sell signal and allows selling for both profit and loss. The ROI is not ignored if a buy signal is generated. The strategy defines several parameters that control the buying behavior, such as ADX (Average Directional Index), RSI (Relative Strength Index), and trigger type (bb_lower or macd_cross_signal). Indicators are populated using data from the dataframe, including ADX, RSI, MACD (Moving Average Convergence Divergence), and Bollinger Bands. The buy trend is determined based on various conditions, including ADX and RSI thresholds, and trigger type (bb_lower or macd_cross_signal). Volume is checked to ensure it's not zero. The sell trend is not implemented in the provided code. Overall, the strategy aims to generate buy signals based on certain technical indicators and conditions, allowing users to backtest and evaluate its performance.
stoploss: -0.1 timeframe: 1d hash(sha256): 1d6d13b68f91cd90930bc6def68a407168bfc8cfd5e1067b3bc8d4f8118c0e0a indicators: macdsignal lowerband adx volume bb_middleband rsi close macd bb_lowerband bb_upperband middleband macdhist upperband
No similar strategies found. (based on used indicators)
last change: 2023-06-28 16:19:11