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The MacdStrategy is a backtesting strategy that uses the Moving Average Convergence Divergence (MACD) indicator to generate buy and sell signals. Here's a breakdown of how it works:
The strategy is implemented as a class that inherits from the IStrategy class provided by the freqtrade.strategy module. The timeframe variable is set to '1d', indicating that the strategy operates on daily candles.
The startup_candle_count variable is set to 25, specifying the number of candles required before the strategy signals become valid.
The minimal_roi variable defines the take profit level as 0.99, indicating that the strategy aims to achieve a 99% return on investment.
The stoploss variable is set to -0.10, specifying a 10% stop loss level. The trailing_stop variable is set to False, indicating that the strategy does not use a trailing stop. The use_sell_signal variable is set to True, enabling the use of sell signals for exiting positions. The sell_profit_only variable is set to False, allowing the strategy to sell even if the profit is not achieved. The sell_profit_offset variable is set to 0.0, specifying an additional offset for the sell price. The ignore_roi_if_buy_signal variable is set to False, meaning that the strategy does not ignore the ROI (return on investment) criteria when generating buy signals. The strategy also includes a plotting configuration for visualizing indicators on a chart after backtesting. It uses the MACD indicator along with its signal line for plotting. The populate_indicators function is responsible for populating the indicators used in the strategy. It calculates the MACD line, signal line, and histogram values and adds them to the dataframe. The populate_buy_trend function defines the conditions for buying. In this case, it checks if the MACD line is below zero and has crossed above the signal line using the qtpylib.crossed_above function. If the conditions are met, a 'buy' signal is generated. The populate_sell_trend function defines the conditions for selling. It checks if the MACD line is above zero and has crossed below the signal line using the qtpylib.crossed_below function. If the conditions are met, a 'sell' signal is generated. Overall, the MacdStrategy uses the MACD indicator to identify potential buying and selling opportunities based on the crossing of the MACD line and the signal line.
The startup_candle_count variable is set to 25, specifying the number of candles required before the strategy signals become valid.
The minimal_roi variable defines the take profit level as 0.99, indicating that the strategy aims to achieve a 99% return on investment.
The stoploss variable is set to -0.10, specifying a 10% stop loss level. The trailing_stop variable is set to False, indicating that the strategy does not use a trailing stop. The use_sell_signal variable is set to True, enabling the use of sell signals for exiting positions. The sell_profit_only variable is set to False, allowing the strategy to sell even if the profit is not achieved. The sell_profit_offset variable is set to 0.0, specifying an additional offset for the sell price. The ignore_roi_if_buy_signal variable is set to False, meaning that the strategy does not ignore the ROI (return on investment) criteria when generating buy signals. The strategy also includes a plotting configuration for visualizing indicators on a chart after backtesting. It uses the MACD indicator along with its signal line for plotting. The populate_indicators function is responsible for populating the indicators used in the strategy. It calculates the MACD line, signal line, and histogram values and adds them to the dataframe. The populate_buy_trend function defines the conditions for buying. In this case, it checks if the MACD line is below zero and has crossed above the signal line using the qtpylib.crossed_above function. If the conditions are met, a 'buy' signal is generated. The populate_sell_trend function defines the conditions for selling. It checks if the MACD line is above zero and has crossed below the signal line using the qtpylib.crossed_below function. If the conditions are met, a 'sell' signal is generated. Overall, the MacdStrategy uses the MACD indicator to identify potential buying and selling opportunities based on the crossing of the MACD line and the signal line.
stoploss: -0.1 timeframe: 1d hash(sha256): 232794bc004ec636936b30908445454afda0d0ddf016a77840961f52247a7ef7 indicators: macdsignal macd macdhist
No similar strategies found. (based on used indicators)
last change: 2023-10-03 22:05:22