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The YOLO strategy is a trading strategy that uses the ADX (Average Directional Index) and Aroon indicators to identify buying opportunities in the market. It operates on the 1-minute timeframe. The strategy sets specific parameter values for the buy signals, including an ADX value of 34, an Aroon Up value of 98, and an Aroon Down value of 33.
These parameters are used to filter potential buying opportunities.
To populate the indicators, the strategy calculates the ADX and Aroon values based on the given time periods (90 for ADX and 60 for Aroon).
These indicator values are stored in the dataframe. The buy signal is generated when the following conditions are met: The ADX value is greater than the specified ADX parameter value. The Aroon Up value is greater than the specified Aroon Up parameter value. The Aroon Down value is less than the specified Aroon Down parameter value. The volume is greater than 0. If these conditions are met, a "buy" signal is assigned to the corresponding row in the dataframe. The sell signal is not implemented in this strategy, as indicated by the "no sell signal" comment in the code. The "sell" column in the dataframe is set to 0 for all rows. The strategy also defines other parameters such as the ROI (Return on Investment) table, stoploss value, trailing stop, and related trailing stop parameters. Overall, the YOLO strategy aims to identify buying opportunities based on specific indicator values and volume conditions, while not implementing a specific sell signal.
These parameters are used to filter potential buying opportunities.
To populate the indicators, the strategy calculates the ADX and Aroon values based on the given time periods (90 for ADX and 60 for Aroon).
These indicator values are stored in the dataframe. The buy signal is generated when the following conditions are met: The ADX value is greater than the specified ADX parameter value. The Aroon Up value is greater than the specified Aroon Up parameter value. The Aroon Down value is less than the specified Aroon Down parameter value. The volume is greater than 0. If these conditions are met, a "buy" signal is assigned to the corresponding row in the dataframe. The sell signal is not implemented in this strategy, as indicated by the "no sell signal" comment in the code. The "sell" column in the dataframe is set to 0 for all rows. The strategy also defines other parameters such as the ROI (Return on Investment) table, stoploss value, trailing stop, and related trailing stop parameters. Overall, the YOLO strategy aims to identify buying opportunities based on specific indicator values and volume conditions, while not implementing a specific sell signal.
stoploss: -0.01 timeframe: 1m hash(sha256): b822711c4fee44f2fe1f1768d0d1f7583d29e263250caa357917a028a0ca83ee indicators: aroonup sell volume adx aroondown
No similar strategies found. (based on used indicators)
last change: 2023-07-01 16:23:47