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The EXPERIMENTAL_STRATEGY is a trading strategy implemented as a class that inherits from the IStrategy interface. It consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function calculates various technical analysis (TA) indicators and adds them to the given DataFrame.
The indicators used include ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MINUS_DI, PLUS_DI, RSI (Relative Strength Index), STOCHF (Stochastic Fast), Bollinger Bands, EMA (Exponential Moving Average), and SMA (Simple Moving Average).
The populate_buy_trend function populates the buy signal for the DataFrame based on specific conditions.
The buy signal is set to 1 when the RSI is less than 35, the fastd value is less than 35, the ADX is greater than 30, and the plus_di value is greater than 0.5. Alternatively, the buy signal is also set to 1 when the ADX is greater than 65 and the plus_di value is greater than 0.5. The populate_sell_trend function populates the sell signal for the DataFrame based on certain conditions. The sell signal is set to 1 when either the RSI or the fastd value crosses above 70, the ADX is greater than 10, and the minus_di value is greater than 0. Alternatively, the sell signal is also set to 1 when the ADX is greater than 70 and the minus_di value is greater than 0.5. Overall, this experimental strategy calculates a range of TA indicators, identifies buy and sell signals based on specific conditions, and adds the corresponding signals to the DataFrame, allowing for backtesting and evaluation of the strategy's performance.
The indicators used include ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MINUS_DI, PLUS_DI, RSI (Relative Strength Index), STOCHF (Stochastic Fast), Bollinger Bands, EMA (Exponential Moving Average), and SMA (Simple Moving Average).
The populate_buy_trend function populates the buy signal for the DataFrame based on specific conditions.
The buy signal is set to 1 when the RSI is less than 35, the fastd value is less than 35, the ADX is greater than 30, and the plus_di value is greater than 0.5. Alternatively, the buy signal is also set to 1 when the ADX is greater than 65 and the plus_di value is greater than 0.5. The populate_sell_trend function populates the sell signal for the DataFrame based on certain conditions. The sell signal is set to 1 when either the RSI or the fastd value crosses above 70, the ADX is greater than 10, and the minus_di value is greater than 0. Alternatively, the sell signal is also set to 1 when the ADX is greater than 70 and the minus_di value is greater than 0.5. Overall, this experimental strategy calculates a range of TA indicators, identifies buy and sell signals based on specific conditions, and adds the corresponding signals to the DataFrame, allowing for backtesting and evaluation of the strategy's performance.
stoploss: -0.1 timeframe: 5m hash(sha256): 7f83965a528de9d8061c94d8a0b58048d119cb5fcc673da277c24c86899ef16e indicators: macdsignal upper adx minus_di lower mid fastk bb_middleband rsi macd bb_lowerband bb_upperband plus_di fastd ema10 macdhist sma
Similar Strategies: (based on used indicators)
Strategy: default_strategy_280, Similarity Score: 94.44%
Strategy: default_strategy_4, Similarity Score: 94.44%
last change: 2023-07-05 04:16:15