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The STRATEGY_005_FASTSTOCH_RSI strategy is designed to backtest trading decisions based on various technical indicators. Here is a brief description of what the strategy does:
The populate_indicators method adds several technical indicators to the input DataFrame, including:
Moving Average Convergence Divergence (MACD)
Minus Directional Indicator (MINUS_DI)
Relative Strength Index (RSI)
Fisher Transform of RSI (fisher_rsi)
Fast Stochastic Oscillator (STOCHF)
Parabolic Stop and Reverse (SAR)
Simple Moving Average (SMA)
The populate_buy_trend method populates the "buy" signal in the DataFrame based on the following conditions:
The closing price is greater than 0.00000200. The volume is greater than four times the 200-day rolling average volume.
The closing price is below the simple moving average (SMA).
The fast stochastic oscillator's %D line is greater than the %K line.
The RSI value is positive. The %D line of the fast stochastic oscillator is positive. The normalized Fisher Transform of RSI is less than 38.900000000000006. The populate_sell_trend method populates the "sell" signal in the DataFrame based on the following conditions: The RSI crosses above 50. The MACD is negative. The MINUS_DI is positive. OR The SAR is above the closing price. The Fisher Transform of RSI is greater than 0.3. Overall, this strategy generates buy signals when certain conditions are met and sell signals when other conditions are met, using a combination of indicators such as RSI, MACD, SAR, and SMA.
The closing price is below the simple moving average (SMA).
The fast stochastic oscillator's %D line is greater than the %K line.
The RSI value is positive. The %D line of the fast stochastic oscillator is positive. The normalized Fisher Transform of RSI is less than 38.900000000000006. The populate_sell_trend method populates the "sell" signal in the DataFrame based on the following conditions: The RSI crosses above 50. The MACD is negative. The MINUS_DI is positive. OR The SAR is above the closing price. The Fisher Transform of RSI is greater than 0.3. Overall, this strategy generates buy signals when certain conditions are met and sell signals when other conditions are met, using a combination of indicators such as RSI, MACD, SAR, and SMA.
startup_candle_count : 50 minus_di: -0.333% rsi: 0.539% fisher_rsi: -9.500% fisher_rsi_norma: 3.224%
stoploss: -0.25 timeframe: 5m hash(sha256): 9f1a5d57db91a3537604e09129369f9df0fbe6606b764496ce233fded322da4c indicators: macdsignal minus_di volume fisher_rsi fisher_rsi_norma close rsi macd fastd fastk sar sma
No similar strategies found. (based on used indicators)
last change: 2023-08-21 08:46:24