The FreqaiExampleStrategy is a trading strategy implemented as a class that inherits from IStrategy. Here is a short description of what the strategy does:
populate_indicators: This method populates indicators for the given DataFrame. It initializes the freqai_info variable with the relevant information from the strategy's configuration.
It creates a CustomModel object using the configuration.
Then, it iterates over the specified timeframes and calls the populate_any_indicators method to populate indicators for the specified pair and timeframe.
It also populates indicators for correlated pairs. Finally, it uses the model to generate predictions, mean target values, and standard deviations for the DataFrame. populate_buy_trend: This method populates the buy trend for the DataFrame. It checks if the prediction is greater than the target ROI (Return on Investment) and if the do_predict value is 1. If the conditions are met, it sets the 'buy' column to 1 for the corresponding rows. populate_sell_trend: This method populates the sell trend for the DataFrame. It checks if the prediction is less than the sell ROI (Return on Investment) and if the do_predict value is 1. If the conditions are met, it sets the 'sell' column to 1 for the corresponding rows. get_ticker_interval: This method returns the interval of the strategy, extracted from the configuration. Overall, the FreqaiExampleStrategy class populates indicators, generates predictions, and determines buy and sell signals based on predefined conditions. The strategy uses a custom model and operates on multiple timeframes and correlated pairs.
It creates a CustomModel object using the configuration.
Then, it iterates over the specified timeframes and calls the populate_any_indicators method to populate indicators for the specified pair and timeframe.
It also populates indicators for correlated pairs. Finally, it uses the model to generate predictions, mean target values, and standard deviations for the DataFrame. populate_buy_trend: This method populates the buy trend for the DataFrame. It checks if the prediction is greater than the target ROI (Return on Investment) and if the do_predict value is 1. If the conditions are met, it sets the 'buy' column to 1 for the corresponding rows. populate_sell_trend: This method populates the sell trend for the DataFrame. It checks if the prediction is less than the sell ROI (Return on Investment) and if the do_predict value is 1. If the conditions are met, it sets the 'sell' column to 1 for the corresponding rows. get_ticker_interval: This method returns the interval of the strategy, extracted from the configuration. Overall, the FreqaiExampleStrategy class populates indicators, generates predictions, and determines buy and sell signals based on predefined conditions. The strategy uses a custom model and operates on multiple timeframes and correlated pairs.
stoploss: -0.05 timeframe: 5m hash(sha256): ab9800b5e3cf915b1ab0b9856f35b011b6e9e17bbb9922519676ebb1f41dc2e5 indicators: upper prediction close target_std freqai timeframe fastk corr_list volume shift sell_roi fastd target_roi mid macd target_mean lower timeframes do_predict feature_parameters date open high low close volume
No similar strategies found. (based on used indicators)
last change: 2024-04-29 02:26:07