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The MACD_EMA strategy is a backtesting strategy that combines the MACD (Moving Average Convergence Divergence) and EMA (Exponential Moving Average) indicators to generate buy and sell signals for trading. Here's a breakdown of how the strategy works:
It uses the populate_indicators function to calculate the MACD and EMA indicators for the given dataset. MACD: It calculates the MACD line, signal line, and histogram based on the input data.
EMA: It calculates the EMA with a long-term period of 200.
The populate_buy_trend function determines the conditions for a buy signal: It checks if the MACD line has crossed above the MACD signal line.
It also checks if the closing price is above the EMA with a long-term period. The populate_sell_trend function determines the conditions for a sell signal: It checks if the MACD line has crossed below the MACD signal line. It also checks if the closing price is below the EMA with a long-term period. The strategy has predefined values for minimal ROI (Return on Investment), stoploss, and timeframe. These values can be adjusted based on market conditions. The minimal ROI specifies the desired return at different time intervals. The stoploss defines the maximum acceptable loss before triggering a sell signal. The timeframe specifies the duration of each candlestick or data point. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profitable trading signals.
EMA: It calculates the EMA with a long-term period of 200.
The populate_buy_trend function determines the conditions for a buy signal: It checks if the MACD line has crossed above the MACD signal line.
It also checks if the closing price is above the EMA with a long-term period. The populate_sell_trend function determines the conditions for a sell signal: It checks if the MACD line has crossed below the MACD signal line. It also checks if the closing price is below the EMA with a long-term period. The strategy has predefined values for minimal ROI (Return on Investment), stoploss, and timeframe. These values can be adjusted based on market conditions. The minimal ROI specifies the desired return at different time intervals. The stoploss defines the maximum acceptable loss before triggering a sell signal. The timeframe specifies the duration of each candlestick or data point. By backtesting this strategy on historical data, you can evaluate its performance and assess its effectiveness in generating profitable trading signals.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
stoploss: -0.25 timeframe: 5m hash(sha256): 1f6a6896ebba81543bf8416c2bf3b0cb1419018d2a7fcb6dbeb7d20523fc4ea7 indicators: macdsignal macd close macdhist
No similar strategies found. (based on used indicators)
last change: 2023-07-05 10:50:23