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The MACDStrategy_crossed strategy is a trading strategy that uses two indicators, MACD and CCI, to generate buy and sell signals. The strategy's buy signal is generated when the MACD line crosses above the MACD signal line and the Commodity Channel Index (CCI) is less than or equal to -50. On the other hand, the sell signal is generated when the MACD line crosses below the MACD signal line and the CCI is greater than or equal to 100.
To implement this strategy, the strategy class provides the following methods: populate_indicators: This method calculates the MACD and CCI indicators and adds them to the dataframe.
populate_buy_trend: This method populates the buy signal column in the dataframe based on the conditions mentioned earlier.
populate_sell_trend: This method populates the sell signal column in the dataframe based on the conditions mentioned earlier. The strategy also defines some additional attributes: minimal_roi: It specifies the minimum return on investment (ROI) targets for different timeframes. For example, a 60-minute timeframe should have a minimum ROI of 0.01 (1%), a 30-minute timeframe should have a minimum ROI of 0.03 (3%), and so on. stoploss: It specifies the optimal stop loss for the strategy. In this case, the stop loss is set to -0.3, which means that if the trade goes against the expected direction by 30%, it will be automatically sold. timeframe: It specifies the optimal timeframe for the strategy, which is set to 5 minutes in this case. Overall, the MACDStrategy_crossed strategy combines MACD and CCI indicators to identify potential buying and selling opportunities in the market based on their respective crossing conditions.
To implement this strategy, the strategy class provides the following methods: populate_indicators: This method calculates the MACD and CCI indicators and adds them to the dataframe.
populate_buy_trend: This method populates the buy signal column in the dataframe based on the conditions mentioned earlier.
populate_sell_trend: This method populates the sell signal column in the dataframe based on the conditions mentioned earlier. The strategy also defines some additional attributes: minimal_roi: It specifies the minimum return on investment (ROI) targets for different timeframes. For example, a 60-minute timeframe should have a minimum ROI of 0.01 (1%), a 30-minute timeframe should have a minimum ROI of 0.03 (3%), and so on. stoploss: It specifies the optimal stop loss for the strategy. In this case, the stop loss is set to -0.3, which means that if the trade goes against the expected direction by 30%, it will be automatically sold. timeframe: It specifies the optimal timeframe for the strategy, which is set to 5 minutes in this case. Overall, the MACDStrategy_crossed strategy combines MACD and CCI indicators to identify potential buying and selling opportunities in the market based on their respective crossing conditions.
stoploss: -0.3 timeframe: 5m hash(sha256): 105ba624b14907376ea52c56c0ee503072635a595253ca44b3c29820886a5c15
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last change: 2022-07-11 13:36:45