The "BuyDips" strategy is designed to backtest trading decisions based on various technical indicators. Here's a breakdown of what the strategy does:
populate_indicators: This function calculates and adds several technical indicators to the provided DataFrame. The indicators used include MFI (Money Flow Index), MACD (Moving Average Convergence Divergence), Stochastic Fast, RSI (Relative Strength Index), Fisher RSI, Bollinger Bands, EMA (Exponential Moving Average), SAR (Stop and Reverse), and SMA (Simple Moving Average).
These indicators are calculated using the data in the DataFrame.
populate_entry_trend: This function determines the buy signals based on the populated indicators.
It checks certain conditions for each indicator and if they are met, it sets the 'buy' column in the DataFrame to 1, indicating a buy signal. The conditions include checking MFI values, negative MACD values, Bollinger Bands gain, MACD crossing above its signal line, and positive volume. populate_exit_trend: This function determines the sell signals based on the populated indicators. It checks certain conditions for each indicator and if they are met, it sets the 'buy' column in the DataFrame to 1, indicating a sell signal. The conditions include checking SAR values, Fisher RSI values, and a hold condition. If the hold condition is enabled, it sets the 'sell' column to 0 for all rows. Overall, the strategy calculates various technical indicators and uses them to generate buy and sell signals based on predefined conditions.
These indicators are calculated using the data in the DataFrame.
populate_entry_trend: This function determines the buy signals based on the populated indicators.
It checks certain conditions for each indicator and if they are met, it sets the 'buy' column in the DataFrame to 1, indicating a buy signal. The conditions include checking MFI values, negative MACD values, Bollinger Bands gain, MACD crossing above its signal line, and positive volume. populate_exit_trend: This function determines the sell signals based on the populated indicators. It checks certain conditions for each indicator and if they are met, it sets the 'buy' column in the DataFrame to 1, indicating a sell signal. The conditions include checking SAR values, Fisher RSI values, and a hold condition. If the hold condition is enabled, it sets the 'sell' column to 0 for all rows. Overall, the strategy calculates various technical indicators and uses them to generate buy and sell signals based on predefined conditions.
stoploss: 0 timeframe: 5m hash(sha256): 022db8d193cab46f0c8deefb68ff8c49b34c488c6c00bcf3ce37415ba45a3c8c indicators: upper close bb_gain mfi bb_lowerband ema5 fastk sma volume fastd ema10 sar macdsignal fisher_rsi ema100 macd lower rsi bb_upperband ema50
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last change: 2024-04-29 21:13:04