You will be redirected to the original Strategy in 15 seconds.
The DefaultStrategy class is a trading strategy that utilizes various technical analysis (TA) indicators to generate buy and sell signals. The strategy consists of three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function calculates and adds several TA indicators to the given DataFrame.
These indicators include ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MINUS_DI (Minus Directional Indicator), PLUS_DI (Plus Directional Indicator), RSI (Relative Strength Index), STOCHF (Stochastic Fast), Bollinger Bands, and EMA (Exponential Moving Average).
The populate_buy_trend function generates buy signals based on the values of the TA indicators.
It sets the 'buy' column of the DataFrame to 1 for rows that meet certain conditions. These conditions involve thresholds for RSI, fastd, ADX, and plus_di indicators. The populate_sell_trend function generates sell signals based on the values of the TA indicators. It sets the 'sell' column of the DataFrame to 1 for rows that meet certain conditions. These conditions involve crossed_above functions for RSI and fastd indicators, as well as thresholds for ADX and minus_di indicators. Overall, the DefaultStrategy class provides a framework for backtesting trading strategies by populating indicators and generating buy and sell signals based on those indicators.
These indicators include ADX (Average Directional Index), MACD (Moving Average Convergence Divergence), MINUS_DI (Minus Directional Indicator), PLUS_DI (Plus Directional Indicator), RSI (Relative Strength Index), STOCHF (Stochastic Fast), Bollinger Bands, and EMA (Exponential Moving Average).
The populate_buy_trend function generates buy signals based on the values of the TA indicators.
It sets the 'buy' column of the DataFrame to 1 for rows that meet certain conditions. These conditions involve thresholds for RSI, fastd, ADX, and plus_di indicators. The populate_sell_trend function generates sell signals based on the values of the TA indicators. It sets the 'sell' column of the DataFrame to 1 for rows that meet certain conditions. These conditions involve crossed_above functions for RSI and fastd indicators, as well as thresholds for ADX and minus_di indicators. Overall, the DefaultStrategy class provides a framework for backtesting trading strategies by populating indicators and generating buy and sell signals based on those indicators.
stoploss: -0.1 timeframe: 5m hash(sha256): 67361bbd284b05449ed6c2bdc5fd675a6ff293e1badb0db35a4134ee7a905f21 indicators: macdsignal upper adx minus_di lower mid fastk bb_middleband rsi macd bb_lowerband bb_upperband plus_di fastd ema10 macdhist
Similar Strategies: (based on used indicators)
Strategy: Fureza, Similarity Score: 94.12%
Strategy: LetsWinStratv3, Similarity Score: 94.12%
Strategy: STRATEGY_EXPERIMENTAL, Similarity Score: 94.12%
Strategy: default_strategy_123, Similarity Score: 94.12%
Strategy: default_strategy_278, Similarity Score: 94.12%
Strategy: default_strategy_280, Similarity Score: 94.12%
Strategy: default_strategy_36, Similarity Score: 94.12%
Strategy: default_strategy_4, Similarity Score: 94.12%
Strategy: default_strategy_41, Similarity Score: 94.12%
Strategy: hyperoptable_strategy_5, Similarity Score: 94.12%
Strategy: strategy_test_v2, Similarity Score: 94.12%
Strategy: strategy_test_v2_1, Similarity Score: 94.12%
Strategy: strategy_test_v2_16, Similarity Score: 94.12%
Strategy: strategy_test_v2_6, Similarity Score: 94.12%
Strategy: strategy_test_v3, Similarity Score: 94.12%
last change: 2022-07-02 19:54:08