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The ClucFiatROI strategy is a backtesting strategy that aims to identify buying and selling opportunities in trading. Here is a short description of what the strategy does:
In the populate_indicators method:
It calculates Bollinger Bands (BBANDS) for two different time periods and stores the upper, middle, and lower bands. It calculates additional indicators such as delta between the middle Bollinger Band and the lower Bollinger Band, delta of closing prices, and the difference between the closing price and the lowest price.
It calculates exponential moving averages (EMA) for two different time periods.
It calculates the relative strength index (RSI) and applies a transformation called Fisher transform to it.
If the strategy is running in live or dry run mode, it calculates the stop and reverse (SAR) indicator. In the populate_buy_trend method: It checks if there is an active trade. If there is no active trade, it applies a set of conditions including the Fisher RSI being less than a specified threshold, various delta and tail conditions, and the closing price being below the lower Bollinger Band. If there is an active trade, it checks if the closing price is higher than the previous closing price or above the SAR indicator. In the populate_sell_trend method: It applies conditions for selling, including the closing price being above a specified multiple of the middle Bollinger Band, the EMA being higher than the closing price, the Fisher RSI being higher than a specified threshold, and the volume being greater than zero. Lastly, there are custom order timeout checks that compare the current price with the order price and return True or False based on certain conditions. This strategy uses a combination of technical indicators and conditions to generate buy and sell signals for trading.
It calculates exponential moving averages (EMA) for two different time periods.
It calculates the relative strength index (RSI) and applies a transformation called Fisher transform to it.
If the strategy is running in live or dry run mode, it calculates the stop and reverse (SAR) indicator. In the populate_buy_trend method: It checks if there is an active trade. If there is no active trade, it applies a set of conditions including the Fisher RSI being less than a specified threshold, various delta and tail conditions, and the closing price being below the lower Bollinger Band. If there is an active trade, it checks if the closing price is higher than the previous closing price or above the SAR indicator. In the populate_sell_trend method: It applies conditions for selling, including the closing price being above a specified multiple of the middle Bollinger Band, the EMA being higher than the closing price, the Fisher RSI being higher than a specified threshold, and the volume being greater than zero. Lastly, there are custom order timeout checks that compare the current price with the order price and return True or False based on certain conditions. This strategy uses a combination of technical indicators and conditions to generate buy and sell signals for trading.
stoploss: -0.342 timeframe: 5m hash(sha256): 8373aa7b2eb7606bf477bd7c5dd28ad462a3959321ef4546632576fe57b8365a
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last change: 2022-07-11 05:53:17