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The BuzzzMoneyV1 strategy is a trading strategy that uses several technical indicators to generate buy and sell signals for a given financial instrument. Here is a breakdown of what the strategy does:
populate_indicators(): This function adds various technical indicators to the provided DataFrame, which contains the exchange data. It merges informative indicators from a higher timeframe (1 hour) into the current timeframe.
The indicators used in this strategy include: lame_ao: Awesome Oscillator rsi: Relative Strength Index slowd and slowk: Stochastic Oscillator macd, macdsignal, and macdhist: Moving Average Convergence Divergence bb_lowerband, bb_middleband, and bb_upperband: Bollinger Bands ema_XX: Exponential Moving Average (with various time periods) sma_XX: Simple Moving Average (with a customizable time period) ADOSC: Accumulation/Distribution Oscillator The function returns the DataFrame with the added indicators.
populate_buy_trend(): This function populates the "buy" column in the DataFrame based on the defined buy conditions.
The buy conditions include: The closing price is above the 200-day Exponential Moving Average (ema_200) and the 1-hour Exponential Moving Average (ema_200_1h). The 1-hour Exponential Moving Average (ema_50_1h) is higher than the 1-hour Exponential Moving Averages (ema_100_1h) and (ema_200_1h). The price has not experienced significant dips based on certain thresholds. The "lame_ao" indicator is increasing (positive slope). The volume is greater than 0. If all the conditions are met, the "buy" column is set to 1. populate_sell_trend(): This function populates the "sell" column in the DataFrame based on the defined sell conditions. The sell conditions include: The "lame_ao" indicator is decreasing (negative slope). The volume is greater than 0. If any of the conditions are met, the "sell" column is set to 1. The strategy aims to generate buy signals when certain technical conditions are met and sell signals when other conditions are met. These signals can be used to make trading decisions when backtesting the strategy on historical data.
The indicators used in this strategy include: lame_ao: Awesome Oscillator rsi: Relative Strength Index slowd and slowk: Stochastic Oscillator macd, macdsignal, and macdhist: Moving Average Convergence Divergence bb_lowerband, bb_middleband, and bb_upperband: Bollinger Bands ema_XX: Exponential Moving Average (with various time periods) sma_XX: Simple Moving Average (with a customizable time period) ADOSC: Accumulation/Distribution Oscillator The function returns the DataFrame with the added indicators.
populate_buy_trend(): This function populates the "buy" column in the DataFrame based on the defined buy conditions.
The buy conditions include: The closing price is above the 200-day Exponential Moving Average (ema_200) and the 1-hour Exponential Moving Average (ema_200_1h). The 1-hour Exponential Moving Average (ema_50_1h) is higher than the 1-hour Exponential Moving Averages (ema_100_1h) and (ema_200_1h). The price has not experienced significant dips based on certain thresholds. The "lame_ao" indicator is increasing (positive slope). The volume is greater than 0. If all the conditions are met, the "buy" column is set to 1. populate_sell_trend(): This function populates the "sell" column in the DataFrame based on the defined sell conditions. The sell conditions include: The "lame_ao" indicator is decreasing (negative slope). The volume is greater than 0. If any of the conditions are met, the "sell" column is set to 1. The strategy aims to generate buy signals when certain technical conditions are met and sell signals when other conditions are met. These signals can be used to make trading decisions when backtesting the strategy on historical data.
stoploss: -0.999 timeframe: 5m hash(sha256): 41d97b8183b366e84e8948f6ce2b7b7ba6236604c7ba1890a886ecfbf9a0c3e1 indicators: upper CDLDRAGONFLYDOJI CDLGRAVESTONEDOJI close CDLSPINNINGTOP bb_lowerband bb_percent CDL3WHITESOLDIERS ema_200_1h kc_middleband volume sma10 high fisher_rsi_norma cci rsi_1h ha_high adx aroonosc minus_dm plus_dm CDLHANGINGMAN aroondown ADOSC CDLEVENINGDOJISTAR slowd_1h plus_di ha_open slowk macdsignal fastk_rsi ssl_down minus_di roc lower rsi sma3 sine kc_percent wbb_upperband htsine tema ema_50 wbb_lowerband uo mfi ema5 kc_width macdhist CDLHAMMER htleadsine lame_ao sma100 ema10 CDLEVENINGSTAR
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last change: 2023-07-04 02:33:30