The "GodStra" strategy is a backtesting strategy implemented as a class that inherits from the "IStrategy" interface. Here is a description of what the strategy does:
populate_indicators: This method takes a DataFrame containing market data and adds technical indicators to it using the add_all_ta_features function. The indicators are calculated based on the columns of the DataFrame, such as open, high, low, close, and volume.
The modified DataFrame with added indicators is returned.
populate_buy_trend: This method takes the indicator parameters for buying decisions and applies them to the DataFrame.
It iterates over the buy parameters and checks conditions based on the specified operator (OPR) and indicator values (IND, CRS). The conditions are appended to a list. If the conditions are met, the corresponding rows in the DataFrame are marked with a "buy" value of 1. The modified DataFrame is returned. populate_sell_trend: This method is similar to populate_buy_trend but applies the sell parameters instead. It iterates over the sell parameters, checks conditions based on the specified operator (OPR) and indicator values (IND, CRS), and appends the conditions to a list. If the conditions are met, the corresponding rows in the DataFrame are marked with a "sell" value of 1. The modified DataFrame is returned. Overall, the "GodStra" strategy populates technical indicators, determines buying conditions based on specified parameters, and determines selling conditions based on other specified parameters. It marks the corresponding rows in the DataFrame with 1 to indicate buy or sell signals.
The modified DataFrame with added indicators is returned.
populate_buy_trend: This method takes the indicator parameters for buying decisions and applies them to the DataFrame.
It iterates over the buy parameters and checks conditions based on the specified operator (OPR) and indicator values (IND, CRS). The conditions are appended to a list. If the conditions are met, the corresponding rows in the DataFrame are marked with a "buy" value of 1. The modified DataFrame is returned. populate_sell_trend: This method is similar to populate_buy_trend but applies the sell parameters instead. It iterates over the sell parameters, checks conditions based on the specified operator (OPR) and indicator values (IND, CRS), and appends the conditions to a list. If the conditions are met, the corresponding rows in the DataFrame are marked with a "sell" value of 1. The modified DataFrame is returned. Overall, the "GodStra" strategy populates technical indicators, determines buying conditions based on specified parameters, and determines selling conditions based on other specified parameters. It marks the corresponding rows in the DataFrame with 1 to indicate buy or sell signals.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.345 timeframe: 12h hash(sha256): da83f1d4a1262b9c17c3c3d0b0a141665a2a2e91afd8090ad481067e2b99643b
Was not able to fetch indicators from Strategyfile.
last change: 2024-07-28 00:52:46