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 method calculates and adds several technical indicators to the provided DataFrame, including:
MFI (Money Flow Index)
MACD (Moving Average Convergence Divergence) and its signal line
Stochastic Fast Oscillator (fast %K and %D)
RSI (Relative Strength Index)
Fisher RSI (a transformed version of RSI)
Bollinger Bands (lower and upper bands, and percentage gain relative to the close price)
Exponential Moving Averages (EMA) of different time periods (5, 10, 50, and 100)
SAR (Stop and Reverse) indicator
Simple Moving Average (SMA) with a time period of 40
populate_buy_trend: This method determines the buy signal based on the populated indicators. It checks various conditions:
If enabled, MFI is greater than or equal to a specified value.
If enabled, MACD is negative.
If enabled, the percentage gain from the lower Bollinger Band is greater than or equal to a specified value.
The MACD line crosses above the MACD signal line. Volume is greater than 0. If any of these conditions are met, the 'buy' column in the DataFrame is set to 1. populate_sell_trend: This method determines the sell signal based on the populated indicators. It checks various conditions: If enabled, a "hold" condition is met (no sell signal). If enabled, SAR is greater than the close price. If enabled, Fisher RSI is greater than a specified value. If any of these conditions are met, the 'sell' column in the DataFrame is set to 1. The strategy calculates and assigns buy and sell signals based on the specified conditions and technical indicators, allowing for backtesting and evaluation of trading performance.
If enabled, MACD is negative.
If enabled, the percentage gain from the lower Bollinger Band is greater than or equal to a specified value.
The MACD line crosses above the MACD signal line. Volume is greater than 0. If any of these conditions are met, the 'buy' column in the DataFrame is set to 1. populate_sell_trend: This method determines the sell signal based on the populated indicators. It checks various conditions: If enabled, a "hold" condition is met (no sell signal). If enabled, SAR is greater than the close price. If enabled, Fisher RSI is greater than a specified value. If any of these conditions are met, the 'sell' column in the DataFrame is set to 1. The strategy calculates and assigns buy and sell signals based on the specified conditions and technical indicators, allowing for backtesting and evaluation of trading performance.
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stoploss: 0 timeframe: 5m hash(sha256): 5492048962eef0d91bd2405f1aeb3e3ab7ebedcdd49f70a7d31ec4bfc4a30e81 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: 2024-07-26 22:25:00