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The "macd_recovery" strategy is a trading strategy that uses technical indicators to generate buy and sell signals for trading. Here is a breakdown of what the strategy does:
The strategy uses the following indicators:
EMA200: Exponential Moving Average with a time period of 200. RSI: Relative Strength Index.
MACD: Moving Average Convergence Divergence, which includes the MACD line, signal line, and histogram.
The strategy defines a ticker interval of 5 minutes.
The strategy specifies a table of Return on Investment (ROI) targets based on the holding period. The ROI targets are defined for specific time intervals. A stop loss is set at -0.04032, indicating the maximum tolerable loss before selling. The "populate_indicators" function calculates the indicators mentioned above and adds them to the dataframe. The "populate_buy_trend" function generates a buy signal when the following conditions are met: The RSI has a rolling minimum value of less than 41 over the past 8 periods. The closing price is above the EMA200. The MACD line crosses above the MACD signal line. The "populate_sell_trend" function generates a sell signal when the following conditions are met: The RSI has a rolling maximum value of greater than 93 over the past 8 periods. The MACD line is positive. The MACD line crosses below the MACD signal line. Overall, the strategy aims to identify potential buying opportunities when the price is in recovery mode (RSI and MACD conditions) and sell when certain overbought conditions are met (RSI and MACD conditions). The ROI targets and stop loss provide guidance for profit-taking and risk management.
MACD: Moving Average Convergence Divergence, which includes the MACD line, signal line, and histogram.
The strategy defines a ticker interval of 5 minutes.
The strategy specifies a table of Return on Investment (ROI) targets based on the holding period. The ROI targets are defined for specific time intervals. A stop loss is set at -0.04032, indicating the maximum tolerable loss before selling. The "populate_indicators" function calculates the indicators mentioned above and adds them to the dataframe. The "populate_buy_trend" function generates a buy signal when the following conditions are met: The RSI has a rolling minimum value of less than 41 over the past 8 periods. The closing price is above the EMA200. The MACD line crosses above the MACD signal line. The "populate_sell_trend" function generates a sell signal when the following conditions are met: The RSI has a rolling maximum value of greater than 93 over the past 8 periods. The MACD line is positive. The MACD line crosses below the MACD signal line. Overall, the strategy aims to identify potential buying opportunities when the price is in recovery mode (RSI and MACD conditions) and sell when certain overbought conditions are met (RSI and MACD conditions). The ROI targets and stop loss provide guidance for profit-taking and risk management.
startup_candle_count : 50 rsi: 0.539%
stoploss: -0.04 timeframe: 5m hash(sha256): 54b38b6f58f1b779cb66c948edcc24263cc9e2c144395de051e2d18b343bd85a indicators: macdsignal close rsi macd macdhist ema200
No similar strategies found. (based on used indicators)
last change: 2023-07-01 18:05:47