The ASDTSRockwellTrading strategy is a simple MACD-based trading strategy. Here's a breakdown of how it works:
The strategy identifies uptrends and downtrends based on the MACD indicator. Uptrend definition: MACD value is above the 0 line and above the MACD signal line.
Downtrend definition: MACD value is below the 0 line and below the MACD signal line.
The strategy determines the sell signal based on the MACD indicator.
Sell definition: MACD value is below the MACD signal line. The strategy does not define specific entry and exit points since the trading bot will handle those. The minimal ROI (return on investment) for the strategy is predefined in the minimal_roi attribute. It specifies different ROI percentages for different time periods. The stoploss value for the strategy is predefined in the stoploss attribute. It specifies the optimal stoploss percentage. The ticker interval for the strategy is set to '5m', indicating that the strategy operates on 5-minute candlestick data. The populate_indicators method calculates the MACD indicator values and adds them to the dataframe. The populate_buy_trend method populates the 'buy' column in the dataframe based on the conditions specified for identifying buy signals using the MACD indicator. The populate_sell_trend method populates the 'sell' column in the dataframe based on the condition specified for identifying sell signals using the MACD indicator. Overall, the strategy is a basic implementation of a MACD-based trading strategy, focusing on identifying trends and using the MACD indicator for generating buy and sell signals.
Downtrend definition: MACD value is below the 0 line and below the MACD signal line.
The strategy determines the sell signal based on the MACD indicator.
Sell definition: MACD value is below the MACD signal line. The strategy does not define specific entry and exit points since the trading bot will handle those. The minimal ROI (return on investment) for the strategy is predefined in the minimal_roi attribute. It specifies different ROI percentages for different time periods. The stoploss value for the strategy is predefined in the stoploss attribute. It specifies the optimal stoploss percentage. The ticker interval for the strategy is set to '5m', indicating that the strategy operates on 5-minute candlestick data. The populate_indicators method calculates the MACD indicator values and adds them to the dataframe. The populate_buy_trend method populates the 'buy' column in the dataframe based on the conditions specified for identifying buy signals using the MACD indicator. The populate_sell_trend method populates the 'sell' column in the dataframe based on the condition specified for identifying sell signals using the MACD indicator. Overall, the strategy is a basic implementation of a MACD-based trading strategy, focusing on identifying trends and using the MACD indicator for generating buy and sell signals.
stoploss: -0.3 timeframe: 5m hash(sha256): 20c2ca5505797e865ffe24f32bfdbebadec33abebd2b34e50bfd0b8c61d12114 indicators: macdsignal macd macdhist
No similar strategies found. (based on used indicators)
last change: 2024-04-28 00:31:20