The BTCMACDCross strategy is a trading strategy that uses various technical indicators to generate buy and sell signals for Bitcoin (BTC) trading. In the populate_indicators function, the strategy calculates and adds several indicators to the input dataframe, such as MACD, ADX, PLUS_DM, MINUS_DM, RSI, Fisher RSI, Stochastic Fast, MFI, Bollinger Bands, EMA, SAR, and TEMA. These indicators provide insights into market trends, momentum, volatility, and other factors relevant to trading decisions.
The populate_buy_trend function determines the buy signal based on the configured conditions.
It checks indicators such as ADX, DM delta, MFI, SAR, Fisher RSI, negative MACD, Bollinger Bands gain, and the crossing of MACD and MACD signal lines.
If the conditions are met, the 'buy' column of the dataframe is set to 1, indicating a buy signal. The populate_sell_trend function determines the sell signal based on the configured conditions. It checks indicators such as positive MACD, crossing below MACD and MACD signal lines. If the conditions are met, the 'sell' column of the dataframe is set to 1, indicating a sell signal. Additionally, there is a condition to hold the sell signal if the 'sell_hold' parameter is enabled. Overall, the strategy aims to identify potential buying and selling opportunities based on the selected technical indicators.
The populate_buy_trend function determines the buy signal based on the configured conditions.
It checks indicators such as ADX, DM delta, MFI, SAR, Fisher RSI, negative MACD, Bollinger Bands gain, and the crossing of MACD and MACD signal lines.
If the conditions are met, the 'buy' column of the dataframe is set to 1, indicating a buy signal. The populate_sell_trend function determines the sell signal based on the configured conditions. It checks indicators such as positive MACD, crossing below MACD and MACD signal lines. If the conditions are met, the 'sell' column of the dataframe is set to 1, indicating a sell signal. Additionally, there is a condition to hold the sell signal if the 'sell_hold' parameter is enabled. Overall, the strategy aims to identify potential buying and selling opportunities based on the selected technical indicators.
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stoploss: 0 timeframe: 5m hash(sha256): c6812719bc1cea818fd5b069b64fb61b8a8d82df607d9eaf8b9304cebc838d6b indicators: upper tema close dm_delta bb_gain mfi bb_lowerband bb_percent fastk macdhist volume btc_macdsignal btc_macdhist fastd dm_plus sar macdsignal btc_macd mid fisher_rsi bb_width di_plus fisher_rsi_norma macd di_delta ema7 ema25 adx lower bb_middleband rsi di_minus bb_upperband dm_minus
Similar Strategies: (based on used indicators)
Strategy: BTCMACDCross_2, Similarity Score: 97.14%
Strategy: MACDCross_2, Similarity Score: 88.57%
Strategy: SARCross, Similarity Score: 88.57%
Strategy: SARCross_2, Similarity Score: 88.57%
Strategy: MACDTurn, Similarity Score: 85.71%
Strategy: MACDTurn_2, Similarity Score: 85.71%
last change: 2024-07-28 20:12:30