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The "BrocolliV2" strategy is a trading strategy implemented in Python using the Freqtrade library. Here is a short description of what the strategy does:
The strategy uses technical indicators such as Exponential Moving Averages (EMA), Simple Moving Averages (SMA), and Relative Strength Index (RSI) to make buy and sell decisions. It has hyperparameters that can be optimized using the hyperopt functionality.
For buying, the strategy checks if the 50-day EMA is above the 200-day EMA, the current price is above the 200-day EMA, the pair is not considered bad based on certain thresholds, the price is below a buy offset calculated from the selected buy trigger, and the volume is positive.
For selling, the strategy checks if the price is above a sell offset calculated from the selected sell trigger and the volume is positive.
The strategy includes a stop loss of -0.23 (23% loss) and a minimal return on investment (ROI) of 0.026 (2.6%). It also implements a trailing stop feature with a positive offset and positive offset offset. The strategy uses a 5-minute timeframe for trading. It can generate buy and sell signals based on the populated indicators. There is a custom trade exit confirmation function that checks additional conditions before allowing a sell signal. Note that the strategy may have additional functionality or details that are not described in the provided code snippet.
For buying, the strategy checks if the 50-day EMA is above the 200-day EMA, the current price is above the 200-day EMA, the pair is not considered bad based on certain thresholds, the price is below a buy offset calculated from the selected buy trigger, and the volume is positive.
For selling, the strategy checks if the price is above a sell offset calculated from the selected sell trigger and the volume is positive.
The strategy includes a stop loss of -0.23 (23% loss) and a minimal return on investment (ROI) of 0.026 (2.6%). It also implements a trailing stop feature with a positive offset and positive offset offset. The strategy uses a 5-minute timeframe for trading. It can generate buy and sell signals based on the populated indicators. There is a custom trade exit confirmation function that checks additional conditions before allowing a sell signal. Note that the strategy may have additional functionality or details that are not described in the provided code snippet.
stoploss: -0.23 timeframe: 5m hash(sha256): 001a10d6d5419987a2f90853ceeea57f3ec39da907fbcf1a07008b11215825a7
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last change: 2022-12-14 18:01:41