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The ASDTSRockwellTrading strategy is a simple trading strategy based on the MACD indicator. The strategy aims to identify uptrends and downtrends in the market and generate buy and sell signals accordingly. The strategy defines an uptrend when the MACD (Moving Average Convergence Divergence) is above the zero line and above the MACD signal line.
A downtrend is defined when the MACD is below the zero line and below the MACD signal line.
The sell signal is triggered when the MACD crosses below the MACD signal line.
The strategy sets specific values for the minimal return on investment (ROI) and stop-loss. The minimal ROI values are defined for different timeframes: 60 minutes, 30 minutes, 20 minutes, and 0 minutes. The stop-loss is set at -0.3. The timeframe used for this strategy is 5 minutes. To implement the strategy, the MACD indicator is calculated using the ta.MACD function. The MACD, MACD signal, and MACD histogram values are stored in the dataframe. The populate_buy_trend function populates the buy signal column in the dataframe based on the conditions that the MACD is above 0 and above the MACD signal. The populate_sell_trend function populates the sell signal column in the dataframe based on the condition that the MACD is below the MACD signal. Overall, the strategy focuses on utilizing the MACD indicator to identify trends and generate buy and sell signals, while the specific entry and exit points are managed by the trading bot using this strategy.
A downtrend is defined when the MACD is below the zero line and below the MACD signal line.
The sell signal is triggered when the MACD crosses below the MACD signal line.
The strategy sets specific values for the minimal return on investment (ROI) and stop-loss. The minimal ROI values are defined for different timeframes: 60 minutes, 30 minutes, 20 minutes, and 0 minutes. The stop-loss is set at -0.3. The timeframe used for this strategy is 5 minutes. To implement the strategy, the MACD indicator is calculated using the ta.MACD function. The MACD, MACD signal, and MACD histogram values are stored in the dataframe. The populate_buy_trend function populates the buy signal column in the dataframe based on the conditions that the MACD is above 0 and above the MACD signal. The populate_sell_trend function populates the sell signal column in the dataframe based on the condition that the MACD is below the MACD signal. Overall, the strategy focuses on utilizing the MACD indicator to identify trends and generate buy and sell signals, while the specific entry and exit points are managed by the trading bot using this strategy.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.3 timeframe: 5m hash(sha256): 881bf4ffcc47e628760a20b4b1b9f2490d95dc28d4e6072b6a49fff694f03e84 indicators: macdsignal macd macdhist
No similar strategies found. (based on used indicators)
last change: 2023-07-05 03:15:12