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The "BinHV45" strategy is a trading strategy that uses Bollinger Bands as an indicator for buying signals. Bollinger Bands consist of a middle band, which is a moving average, and an upper and lower band that represent the standard deviations of the price from the middle band. Here's how the strategy works:
The strategy calculates the Bollinger Bands using the closing price of the stock over a specified window size and number of standard deviations.
It calculates additional indicators such as the difference between the middle and lower band (bbdelta), the absolute difference between the open and close price (pricedelta), the absolute difference between consecutive closing prices (closedelta), and the difference between the closing price and the lowest price (tail).
For the buying signal, the strategy looks for specific conditions to be met: The previous lower band value is greater than 0.
The bbdelta value is greater than 11/1000 of the current close price. The closedelta value is greater than 15/1000 of the current close price. The tail value is less than 25/1000 of the bbdelta value. The current close price is lower than the previous lower band value. The current close price is less than or equal to the previous close price. If all the conditions for a buying signal are met, the strategy sets the "buy" column of the dataframe to 1 for that particular timestamp. There is no specific selling signal defined in the strategy. The "sell" column of the dataframe is set to 0, indicating that no selling signal is generated. The strategy also includes various parameters such as order types, buy parameters, sell parameters, ROI (return on investment) table, stop loss, and trailing stop, which can be customized based on specific requirements. Please note that this is a simplified explanation of the strategy, and there might be additional complexities or considerations involved in the actual implementation.
It calculates additional indicators such as the difference between the middle and lower band (bbdelta), the absolute difference between the open and close price (pricedelta), the absolute difference between consecutive closing prices (closedelta), and the difference between the closing price and the lowest price (tail).
For the buying signal, the strategy looks for specific conditions to be met: The previous lower band value is greater than 0.
The bbdelta value is greater than 11/1000 of the current close price. The closedelta value is greater than 15/1000 of the current close price. The tail value is less than 25/1000 of the bbdelta value. The current close price is lower than the previous lower band value. The current close price is less than or equal to the previous close price. If all the conditions for a buying signal are met, the strategy sets the "buy" column of the dataframe to 1 for that particular timestamp. There is no specific selling signal defined in the strategy. The "sell" column of the dataframe is set to 0, indicating that no selling signal is generated. The strategy also includes various parameters such as order types, buy parameters, sell parameters, ROI (return on investment) table, stop loss, and trailing stop, which can be customized based on specific requirements. Please note that this is a simplified explanation of the strategy, and there might be additional complexities or considerations involved in the actual implementation.
stoploss: -0.133 timeframe: 1m hash(sha256): 8b06dc7807725a1733acbc3a4a1408ac635f530cda9a12ccd22c8918b8d7b5c9 indicators: sell mid lower pricedelta close closedelta tail open low bbdelta
No similar strategies found. (based on used indicators)
last change: 2022-07-11 06:12:50