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The "ONUR" strategy is a trading strategy implemented in Python using the Freqtrade library. Here's a short description of what this strategy does:
The strategy is designed to be used for backtesting trading strategies on a website. It uses the 15-minute timeframe for analyzing price data.
The strategy calculates two indicators: RSI (Relative Strength Index) and Bollinger Bands.
The RSI indicator is calculated with a time period of 14.
Bollinger Bands are calculated using a window of 20 and 2 standard deviations. The strategy generates buy signals when the RSI is below 74 and the closing price is above the middle Bollinger Band. The strategy does not specify any sell conditions in the provided code. Additionally, the strategy includes parameters for setting the minimal return on investment (ROI), stop-loss level, and trailing stop. However, these parameters are not used in the current implementation.
The strategy calculates two indicators: RSI (Relative Strength Index) and Bollinger Bands.
The RSI indicator is calculated with a time period of 14.
Bollinger Bands are calculated using a window of 20 and 2 standard deviations. The strategy generates buy signals when the RSI is below 74 and the closing price is above the middle Bollinger Band. The strategy does not specify any sell conditions in the provided code. Additionally, the strategy includes parameters for setting the minimal return on investment (ROI), stop-loss level, and trailing stop. However, these parameters are not used in the current implementation.
stoploss: -0.99 timeframe: 15m hash(sha256): c98c30e3b04ce9931961626a8ab8fa10d31e122b470a4644a3d951da1cc8dcd8
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last change: 2022-07-02 19:54:08