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The SlowFastMACross strategy is a backtesting strategy that aims to identify buying and selling opportunities based on moving average crossovers. Here's a breakdown of what the strategy does:
The strategy calculates the MACD (Moving Average Convergence Divergence) indicator using the ta.MACD function. It populates two additional indicators on the dataframe:
maShort: Represents the moving average with a time period of 50.
maMedium: Represents the moving average with a time period of 200.
For the buy signal, the strategy checks if the maShort line crosses above the maMedium line using the qtpylib.crossed_above function.
If this condition is met, it sets the 'buy' column of the dataframe to 1. For the sell signal, the strategy checks if the maMedium line crosses above the maShort line using the qtpylib.crossed_above function. If this condition is met, it sets the 'sell' column of the dataframe to 1. The strategy defines the minimal ROI (Return on Investment) as 0.5 and the stop-loss as -0.2. The strategy uses a ticker interval of 1 hour. The strategy also provides a configuration for plotting the indicators on a chart, such as specifying colors for different indicators. Overall, the SlowFastMACross strategy aims to take advantage of moving average crossovers to generate buy and sell signals for trading.
maMedium: Represents the moving average with a time period of 200.
For the buy signal, the strategy checks if the maShort line crosses above the maMedium line using the qtpylib.crossed_above function.
If this condition is met, it sets the 'buy' column of the dataframe to 1. For the sell signal, the strategy checks if the maMedium line crosses above the maShort line using the qtpylib.crossed_above function. If this condition is met, it sets the 'sell' column of the dataframe to 1. The strategy defines the minimal ROI (Return on Investment) as 0.5 and the stop-loss as -0.2. The strategy uses a ticker interval of 1 hour. The strategy also provides a configuration for plotting the indicators on a chart, such as specifying colors for different indicators. Overall, the SlowFastMACross strategy aims to take advantage of moving average crossovers to generate buy and sell signals for trading.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.2 timeframe: 1h hash(sha256): 8bbebaae2665c5bd6737689e9f31d16c94763feafe6ad3f5fe533d8ebe5edac7 indicators: maShort maMedium
No similar strategies found. (based on used indicators)
last change: 2023-06-24 22:07:21