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The MACDStrategy_crossed is a trading strategy that uses the Moving Average Convergence Divergence (MACD) and the Commodity Channel Index (CCI) indicators to generate buy and sell signals. Here's a breakdown of how the strategy works:
Buy Signal:
The MACD line crosses above the MACD signal line. The CCI indicator value is less than or equal to -50.
Sell Signal: The MACD line crosses below the MACD signal line.
The CCI indicator value is greater than or equal to 100.
The strategy aims to capture profitable trades by identifying potential trends and reversals in the market. It uses the MACD indicator to identify momentum and the CCI indicator to gauge market conditions. When both conditions for a buy or sell signal are met, the corresponding action is triggered. The strategy has predefined parameters: Minimal ROI: Defines the minimum desired return on investment for the strategy. It specifies different targets for different time periods. Stoploss: Sets the optimal stop-loss level for the strategy. Timeframe: Specifies the optimal timeframe for analyzing the market data. The strategy uses the TA-Lib library to calculate the MACD and CCI indicators. It populates these indicators in the input DataFrame and generates the buy and sell signals accordingly. The populate_indicators function calculates the indicators, while the populate_buy_trend and populate_sell_trend functions determine the buy and sell signals based on the indicator values. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profitable trading signals.
Sell Signal: The MACD line crosses below the MACD signal line.
The CCI indicator value is greater than or equal to 100.
The strategy aims to capture profitable trades by identifying potential trends and reversals in the market. It uses the MACD indicator to identify momentum and the CCI indicator to gauge market conditions. When both conditions for a buy or sell signal are met, the corresponding action is triggered. The strategy has predefined parameters: Minimal ROI: Defines the minimum desired return on investment for the strategy. It specifies different targets for different time periods. Stoploss: Sets the optimal stop-loss level for the strategy. Timeframe: Specifies the optimal timeframe for analyzing the market data. The strategy uses the TA-Lib library to calculate the MACD and CCI indicators. It populates these indicators in the input DataFrame and generates the buy and sell signals accordingly. The populate_indicators function calculates the indicators, while the populate_buy_trend and populate_sell_trend functions determine the buy and sell signals based on the indicator values. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profitable trading signals.
stoploss: -0.3 timeframe: 5m hash(sha256): 136e189c4d9ecf2432ce5e4ab63ec4876c8ea6979cad3cf5da38135981113340
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last change: 2022-07-02 19:54:08