Strategy: BinHV45
Downloaded: 20220111
Stoploss: -0.05
Downloaded: 20220111
Stoploss: -0.05
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The strategy implemented in this code is called "BinHV45." It uses Bollinger Bands, a popular technical analysis tool, to generate buy signals for trading. Here is a brief description of what the strategy does:
The strategy calculates Bollinger Bands using the closing prices of the stock. Bollinger Bands consist of a middle band (rolling_mean) and lower band (lower_band).
The middle band represents the moving average, and the lower band represents the standard deviation multiplied by a specified number of standard deviations (num_of_std).
The strategy populates several indicators based on the calculated Bollinger Bands and other price-related data.
These indicators include 'mid' (middle band values), 'lower' (lower band values), 'bbdelta' (absolute difference between mid and lower bands), 'pricedelta' (absolute difference between open and close prices), 'closedelta' (absolute difference between current close price and previous close price), and 'tail' (absolute difference between close price and low price). In the buy signal calculation, the strategy checks various conditions to determine when to enter a buy position. These conditions include: The previous lower band value is greater than 0. The bbdelta value is greater than a specified percentage (close price * 0.008). The closedelta value is greater than a specified percentage (close price * 0.0175). The tail value is less than a specified percentage (bbdelta * 0.25). The close price is less than the previous lower band value. The close price is less than or equal to the previous close price. The sell signal calculation in this strategy does not generate any specific sell signals. The 'sell' column is set to 0 for all data points. Overall, the BinHV45 strategy aims to identify buying opportunities based on the Bollinger Bands and specific conditions related to the price movement. Please note that this description provides only a general overview, and further analysis and testing may be required to fully understand the strategy's effectiveness and potential risks.
The middle band represents the moving average, and the lower band represents the standard deviation multiplied by a specified number of standard deviations (num_of_std).
The strategy populates several indicators based on the calculated Bollinger Bands and other price-related data.
These indicators include 'mid' (middle band values), 'lower' (lower band values), 'bbdelta' (absolute difference between mid and lower bands), 'pricedelta' (absolute difference between open and close prices), 'closedelta' (absolute difference between current close price and previous close price), and 'tail' (absolute difference between close price and low price). In the buy signal calculation, the strategy checks various conditions to determine when to enter a buy position. These conditions include: The previous lower band value is greater than 0. The bbdelta value is greater than a specified percentage (close price * 0.008). The closedelta value is greater than a specified percentage (close price * 0.0175). The tail value is less than a specified percentage (bbdelta * 0.25). The close price is less than the previous lower band value. The close price is less than or equal to the previous close price. The sell signal calculation in this strategy does not generate any specific sell signals. The 'sell' column is set to 0 for all data points. Overall, the BinHV45 strategy aims to identify buying opportunities based on the Bollinger Bands and specific conditions related to the price movement. Please note that this description provides only a general overview, and further analysis and testing may be required to fully understand the strategy's effectiveness and potential risks.
stoploss: -0.05 timeframe: 1m hash(sha256): 936b525647d23952b0864d79088a8efd1ee0398c8edba0f8891a322e621c5d23 indicators: sell mid lower pricedelta close closedelta tail open low bbdelta
No similar strategies found. (based on used indicators)
last change: 2023-09-01 14:35:45
Freqtrade Strategy Ninja
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