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The "keltnerhopt" strategy is a trading strategy implemented in Python using the Freqtrade framework. Here is a short description of what the strategy does:
It operates on a 6-hour timeframe. The strategy sets the stop loss at -0.254 (a negative value) to prevent it from triggering a sell signal.
The minimal return on investment (ROI) is set to 1, meaning that the strategy aims to exit trades with at least a 1% profit.
The strategy uses three hyperparameters for optimization: "window_range," "atrs_range," and "rsi_buy_hline." The "populate_indicators" function calculates the Keltner Channel upper and middle bands for different window and ATR (Average True Range) values.
It also calculates the RSI (Relative Strength Index) with a time period of 14. The "populate_buy_trend" function defines the conditions for a buy signal. It checks if the close price crosses above the Keltner Channel upper band and if the RSI value is higher than the specified "rsi_buy_hline" value. The "populate_sell_trend" function defines the conditions for a sell signal. It checks if the close price crosses below the Keltner Channel middle band. If the defined conditions are met, the corresponding "buy" or "sell" signals are set in the dataframe. This strategy aims to identify buying opportunities when the price breaks above the upper band of the Keltner Channel and the RSI is above a certain threshold. It aims to sell when the price crosses below the middle band of the Keltner Channel.
The minimal return on investment (ROI) is set to 1, meaning that the strategy aims to exit trades with at least a 1% profit.
The strategy uses three hyperparameters for optimization: "window_range," "atrs_range," and "rsi_buy_hline." The "populate_indicators" function calculates the Keltner Channel upper and middle bands for different window and ATR (Average True Range) values.
It also calculates the RSI (Relative Strength Index) with a time period of 14. The "populate_buy_trend" function defines the conditions for a buy signal. It checks if the close price crosses above the Keltner Channel upper band and if the RSI value is higher than the specified "rsi_buy_hline" value. The "populate_sell_trend" function defines the conditions for a sell signal. It checks if the close price crosses below the Keltner Channel middle band. If the defined conditions are met, the corresponding "buy" or "sell" signals are set in the dataframe. This strategy aims to identify buying opportunities when the price breaks above the upper band of the Keltner Channel and the RSI is above a certain threshold. It aims to sell when the price crosses below the middle band of the Keltner Channel.
stoploss: -0.254 timeframe: 5m hash(sha256): fe6366056036d4a285565611503a389b445fccebb4c5405162a94c7a7d9e2052 indicators: f"kc_middleband_windows_atrss close rsi f"kc_upperband_windows_atrss
No similar strategies found. (based on used indicators)
last change: 2022-07-02 19:54:08