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The "SwingHighToSky" strategy is a trading strategy implemented in Python using the Freqtrade library. Here is a short description of what the strategy does:
It uses the MACD (Moving Average Convergence Divergence) indicator to identify buy and sell signals. The strategy also utilizes the CCI (Commodity Channel Index) indicator for additional buy and sell signals.
The minimal ROI (Return on Investment) is set to 100%, meaning that the strategy aims to make a profit of at least 100% on each trade.
The stop loss is set to -0.30, indicating that if the price drops by 30% from the entry point, the trade will be automatically closed with a loss.
The strategy employs a trailing stop mechanism, where the stop loss is adjusted dynamically as the price moves in favor of the trade. The trailing stop positive value is set to 0.08, and the offset is set to 0.10. The strategy operates on 30-minute ticker intervals. The "populate_indicators" function calculates and adds several indicators to the input dataframe, including the MACD histogram, MACD line, MACD signal line, CCI buy signal, and CCI sell signal. The "populate_buy_trend" function identifies buy signals based on the conditions that the MACD line is above the MACD signal line, the CCI buy signal is below or equal to -100.0, and there is a crossover of the MACD line above the MACD signal line. The "populate_sell_trend" function identifies sell signals based on the conditions that the MACD line is below the MACD signal line, the rolling maximum value of the CCI sell signal is at least 200.0, and there is a crossover of the MACD line below the MACD signal line. Please note that this description provides a general overview of the strategy, and there may be additional details and considerations not covered here.
The minimal ROI (Return on Investment) is set to 100%, meaning that the strategy aims to make a profit of at least 100% on each trade.
The stop loss is set to -0.30, indicating that if the price drops by 30% from the entry point, the trade will be automatically closed with a loss.
The strategy employs a trailing stop mechanism, where the stop loss is adjusted dynamically as the price moves in favor of the trade. The trailing stop positive value is set to 0.08, and the offset is set to 0.10. The strategy operates on 30-minute ticker intervals. The "populate_indicators" function calculates and adds several indicators to the input dataframe, including the MACD histogram, MACD line, MACD signal line, CCI buy signal, and CCI sell signal. The "populate_buy_trend" function identifies buy signals based on the conditions that the MACD line is above the MACD signal line, the CCI buy signal is below or equal to -100.0, and there is a crossover of the MACD line above the MACD signal line. The "populate_sell_trend" function identifies sell signals based on the conditions that the MACD line is below the MACD signal line, the rolling maximum value of the CCI sell signal is at least 200.0, and there is a crossover of the MACD line below the MACD signal line. Please note that this description provides a general overview of the strategy, and there may be additional details and considerations not covered here.
stoploss: -0.3 timeframe: 30m hash(sha256): f063acc2db6e36e1072c29f63821a54c42b4a84223481a05985700292c3523ad indicators: macdsignal macd ccibuy ccisell macdhist
No similar strategies found. (based on used indicators)
last change: 2023-08-16 11:36:05