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The MACDCrossoverWithTrend strategy is a trading strategy that combines MACD (Moving Average Convergence Divergence) crossover with trend analysis. It aims to identify potential buy and sell signals based on these indicators. The strategy uses the following indicators:
MACD: Calculates the MACD line, signal line, and histogram.
EMA (Exponential Moving Average): Calculates the EMA with a time period of 100.
The strategy defines the following parameters: stoploss: Sets a stop loss level at -0.2 (20% loss).
timeframe: Specifies the optimal timeframe for the strategy as 1 hour. trailing_stop: Enables or disables trailing stop loss. trailing_stop_positive: Sets the percentage for the trailing stop loss. trailing_stop_positive_offset: Sets the offset for the trailing stop loss. The populate_indicators function is responsible for calculating the indicators mentioned above and adding them to the dataframe. The populate_buy_trend function identifies the conditions for a buy signal, which are: MACD is below zero. Signal line crosses above the MACD line. The candle low is above the 100-period EMA. The candle has nonzero volume. The populate_sell_trend function identifies the conditions for a sell signal, which are: MACD crosses below zero. The candle low is below the 100-period EMA. By backtesting this strategy using historical data, you can evaluate its performance and analyze the generated buy and sell signals.
EMA (Exponential Moving Average): Calculates the EMA with a time period of 100.
The strategy defines the following parameters: stoploss: Sets a stop loss level at -0.2 (20% loss).
timeframe: Specifies the optimal timeframe for the strategy as 1 hour. trailing_stop: Enables or disables trailing stop loss. trailing_stop_positive: Sets the percentage for the trailing stop loss. trailing_stop_positive_offset: Sets the offset for the trailing stop loss. The populate_indicators function is responsible for calculating the indicators mentioned above and adding them to the dataframe. The populate_buy_trend function identifies the conditions for a buy signal, which are: MACD is below zero. Signal line crosses above the MACD line. The candle low is above the 100-period EMA. The candle has nonzero volume. The populate_sell_trend function identifies the conditions for a sell signal, which are: MACD crosses below zero. The candle low is below the 100-period EMA. By backtesting this strategy using historical data, you can evaluate its performance and analyze the generated buy and sell signals.
startup_candle_count : 50 macd: -8.703% macdsignal: -19.130% macdhist: 6.523%
stoploss: -0.2 timeframe: 1h hash(sha256): ef1e56324f66bb9c2cdfc09ec07dbd2265e8d9ff2375b79afa21375637fb5ffb indicators: macdsignal volume ema100 macd low macdhist
No similar strategies found. (based on used indicators)
last change: 2023-08-16 11:46:06