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The MACD003 strategy is a trading strategy that uses various technical indicators to generate buy and sell signals for a given dataset. The strategy consists of three main components: indicator population, entry trend determination, and exit trend determination. In the indicator population phase, several technical indicators are calculated and added to the input dataframe.
These indicators include the Money Flow Index (MFI), Moving Average Convergence Divergence (MACD), Stochastic Fast, Relative Strength Index (RSI), Fisher Transform of RSI, Bollinger Bands, Exponential Moving Averages (EMA) of different time periods, Parabolic SAR (SAR), and Simple Moving Average (SMA).
The populate_entry_trend function uses the populated indicators to determine the buy signal for the dataframe.
The buy signal is triggered if certain conditions are met. These conditions include the MFI being below a specified threshold (self.buy_mfi.value), the Fisher Transform of RSI being below a specified threshold (self.buy_fisher.value), the fast %K of Stochastic Fast being lower than the fast %D, and the MACD crossing above the MACD signal line while the Bollinger Bands gain is above a specified threshold (self.buy_bb_gain.value). Similarly, the populate_exit_trend function determines the sell signal based on the indicators. The sell signal is triggered if the MFI is above a specified threshold (self.sell_mfi.value), the Parabolic SAR is above the closing price, and the Fisher Transform of RSI is above a specified threshold (self.sell_fisher.value). Overall, the MACD003 strategy combines multiple technical indicators to identify potential buying and selling opportunities in the market.
These indicators include the Money Flow Index (MFI), Moving Average Convergence Divergence (MACD), Stochastic Fast, Relative Strength Index (RSI), Fisher Transform of RSI, Bollinger Bands, Exponential Moving Averages (EMA) of different time periods, Parabolic SAR (SAR), and Simple Moving Average (SMA).
The populate_entry_trend function uses the populated indicators to determine the buy signal for the dataframe.
The buy signal is triggered if certain conditions are met. These conditions include the MFI being below a specified threshold (self.buy_mfi.value), the Fisher Transform of RSI being below a specified threshold (self.buy_fisher.value), the fast %K of Stochastic Fast being lower than the fast %D, and the MACD crossing above the MACD signal line while the Bollinger Bands gain is above a specified threshold (self.buy_bb_gain.value). Similarly, the populate_exit_trend function determines the sell signal based on the indicators. The sell signal is triggered if the MFI is above a specified threshold (self.sell_mfi.value), the Parabolic SAR is above the closing price, and the Fisher Transform of RSI is above a specified threshold (self.sell_fisher.value). Overall, the MACD003 strategy combines multiple technical indicators to identify potential buying and selling opportunities in the market.
stoploss: -0.332 timeframe: 5m hash(sha256): 019b2eceef2d435ab6127efefaf40c63cabff9d745b146acd78418456f2afb61 indicators: upper close bb_gain mfi bb_lowerband ema5 fastk sma fastd ema10 sar macdsignal fisher_rsi ema100 macd lower rsi bb_upperband ema50
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last change: 2024-04-29 01:32:18