The FreqaiExampleStrategy is a trading strategy implemented as a class that inherits from the IStrategy interface. Here is a description of what the strategy does in simplified terms:
populate_indicators: This method populates indicators for the given trading data. It iterates over different timeframes and populates indicators for the specified pairs.
The indicators are populated using the populate_any_indicators function.
populate_entry_trend: This method determines the entry conditions for long and short trades based on certain conditions.
If the conditions are met, it sets the enter_long or enter_short flags in the trading data. populate_exit_trend: This method determines the exit conditions for long and short trades based on certain conditions. If the conditions are met, it sets the exit_long or exit_short flags in the trading data. get_custom_stoploss and get_custom_takeprofit: These methods calculate the custom stop-loss and take-profit levels for a trade based on the predicted price and a decay factor. The predicted price is obtained from the pair_dict based on the entry tag and is decayed over time. If the current profit exceeds the decayed take-profit level or falls below the negative decayed stop-loss level, the corresponding exit reason is returned. on_enter_position and on_exit_position: These methods are called when a position is entered or exited. They update the pair_dict with the predicted price for the given pair and entry tag. The pair_dict is then saved to disk. check_sell_signal and check_buy_signal: These methods check if a sell or buy signal should be triggered based on the current rate and the last candle's close price. If the rate exceeds or falls below a certain threshold, the corresponding signal is returned. Overall, the strategy populates indicators, determines entry and exit conditions, calculates custom stop-loss and take-profit levels, and checks for buy and sell signals based on rate thresholds.
The indicators are populated using the populate_any_indicators function.
populate_entry_trend: This method determines the entry conditions for long and short trades based on certain conditions.
If the conditions are met, it sets the enter_long or enter_short flags in the trading data. populate_exit_trend: This method determines the exit conditions for long and short trades based on certain conditions. If the conditions are met, it sets the exit_long or exit_short flags in the trading data. get_custom_stoploss and get_custom_takeprofit: These methods calculate the custom stop-loss and take-profit levels for a trade based on the predicted price and a decay factor. The predicted price is obtained from the pair_dict based on the entry tag and is decayed over time. If the current profit exceeds the decayed take-profit level or falls below the negative decayed stop-loss level, the corresponding exit reason is returned. on_enter_position and on_exit_position: These methods are called when a position is entered or exited. They update the pair_dict with the predicted price for the given pair and entry tag. The pair_dict is then saved to disk. check_sell_signal and check_buy_signal: These methods check if a sell or buy signal should be triggered based on the current rate and the last candle's close price. If the rate exceeds or falls below a certain threshold, the corresponding signal is returned. Overall, the strategy populates indicators, determines entry and exit conditions, calculates custom stop-loss and take-profit levels, and checks for buy and sell signals based on rate thresholds.
stoploss: -0.05 timeframe: 5m hash(sha256): 1df3df77de680235065f2c681ec8bb242d979775d4d7a6e9de1b0cfd961a3f9e indicators: corr_list &s_close sell_roi freqai date &s_close_mean timeframe target_roi feature_parameters &s_close_std
No similar strategies found. (based on used indicators)
last change: 2024-04-28 14:46:25