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The DefaultStrategy class is a trading strategy that utilizes various technical analysis (TA) indicators to make buy and sell decisions. It implements three main functions: populate_indicators, populate_buy_trend, and populate_sell_trend. The populate_indicators function takes a DataFrame containing raw data from the exchange and adds several TA indicators to it.
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).
Each indicator is calculated and added as a new column to the DataFrame.
The populate_buy_trend function populates the "buy" column of the DataFrame based on the values of the TA indicators. The buy conditions are defined as follows: RSI is less than 35 Stochastic Fast (fastd) is less than 35 ADX is greater than 30 PLUS_DI is greater than 0.5 OR ADX is greater than 65 PLUS_DI is greater than 0.5 If any of these conditions are met, the "buy" column is set to 1 for the corresponding row. Similarly, the populate_sell_trend function populates the "sell" column based on the TA indicators. The sell conditions are defined as follows: RSI crosses above 70 OR Stochastic Fast (fastd) crosses above 70 AND ADX is greater than 10 MINUS_DI is greater than 0 OR ADX is greater than 70 MINUS_DI is greater than 0.5 If any of these conditions are met, the "sell" column is set to 1 for the corresponding row. Overall, the DefaultStrategy class calculates a set of TA indicators, determines buy and sell signals based on the indicator values, and marks the corresponding rows in the DataFrame with 1 in the "buy" and "sell" columns. This strategy can be used for backtesting different trading scenarios on the website.
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).
Each indicator is calculated and added as a new column to the DataFrame.
The populate_buy_trend function populates the "buy" column of the DataFrame based on the values of the TA indicators. The buy conditions are defined as follows: RSI is less than 35 Stochastic Fast (fastd) is less than 35 ADX is greater than 30 PLUS_DI is greater than 0.5 OR ADX is greater than 65 PLUS_DI is greater than 0.5 If any of these conditions are met, the "buy" column is set to 1 for the corresponding row. Similarly, the populate_sell_trend function populates the "sell" column based on the TA indicators. The sell conditions are defined as follows: RSI crosses above 70 OR Stochastic Fast (fastd) crosses above 70 AND ADX is greater than 10 MINUS_DI is greater than 0 OR ADX is greater than 70 MINUS_DI is greater than 0.5 If any of these conditions are met, the "sell" column is set to 1 for the corresponding row. Overall, the DefaultStrategy class calculates a set of TA indicators, determines buy and sell signals based on the indicator values, and marks the corresponding rows in the DataFrame with 1 in the "buy" and "sell" columns. This strategy can be used for backtesting different trading scenarios on the website.
stoploss: -0.1 timeframe: 5m hash(sha256): 219c65f3917f11e0cbe7ae0e5f48a5a7894e6a8f46e822a3352d2ed66cbd9688 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: STRATEGY_EXPERIMENTAL, Similarity Score: 94.44%
Strategy: default_strategy_4, Similarity Score: 94.44%
last change: 2022-07-10 23:26:27