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The strategy implemented in this code is called "BinHV45." It is a backtesting strategy for trading. Here is a description of what the strategy does:
Timeframe: The strategy operates on 15-minute timeframe data. Indicators: The strategy uses Bollinger Bands to identify potential buying opportunities.
Bollinger Bands are calculated using the rolling mean and standard deviation of the closing price.
The strategy calculates the middle band (mid) and the lower band.
It also computes the difference between the middle and lower bands (bbdelta). Populating Indicators: The strategy populates additional columns in the data frame to assist in decision-making. These columns include: 'pricedelta': Absolute difference between the opening and closing prices. 'closedelta': Absolute difference between the current and previous closing prices. 'tail': Absolute difference between the closing price and the lowest price in the period. Buy Signal: The strategy identifies a buy signal under the following conditions: The lower Bollinger Band of the previous period is greater than 0. The difference between the middle and lower Bollinger Bands (bbdelta) is greater than 0.008 times the current closing price. The absolute difference between the current and previous closing prices (closedelta) is greater than 0.0175 times the current closing price. The tail (difference between closing price and lowest price) is less than 0.25 times bbdelta. The current closing price is less than the lower Bollinger Band of the previous period. The current closing price is less than or equal to the previous closing price. Sell Signal: The strategy does not provide any specific sell signal. The 'sell' column is populated with zeros for all data points. Risk Protections: The strategy includes various risk protection measures, including cooldown period, maximum drawdown, stop-loss guard, and low-profit pairs. These measures aim to limit losses and manage risk during trading. Overall, the BinHV45 strategy utilizes Bollinger Bands and additional conditions to identify potential buying opportunities. It incorporates risk protection measures to mitigate losses and manage risk during trading.
Bollinger Bands are calculated using the rolling mean and standard deviation of the closing price.
The strategy calculates the middle band (mid) and the lower band.
It also computes the difference between the middle and lower bands (bbdelta). Populating Indicators: The strategy populates additional columns in the data frame to assist in decision-making. These columns include: 'pricedelta': Absolute difference between the opening and closing prices. 'closedelta': Absolute difference between the current and previous closing prices. 'tail': Absolute difference between the closing price and the lowest price in the period. Buy Signal: The strategy identifies a buy signal under the following conditions: The lower Bollinger Band of the previous period is greater than 0. The difference between the middle and lower Bollinger Bands (bbdelta) is greater than 0.008 times the current closing price. The absolute difference between the current and previous closing prices (closedelta) is greater than 0.0175 times the current closing price. The tail (difference between closing price and lowest price) is less than 0.25 times bbdelta. The current closing price is less than the lower Bollinger Band of the previous period. The current closing price is less than or equal to the previous closing price. Sell Signal: The strategy does not provide any specific sell signal. The 'sell' column is populated with zeros for all data points. Risk Protections: The strategy includes various risk protection measures, including cooldown period, maximum drawdown, stop-loss guard, and low-profit pairs. These measures aim to limit losses and manage risk during trading. Overall, the BinHV45 strategy utilizes Bollinger Bands and additional conditions to identify potential buying opportunities. It incorporates risk protection measures to mitigate losses and manage risk during trading.
startup_candle_count : 50 Recursive Analysis found no issues while using 50 startup_candle_count
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.05 timeframe: 15m hash(sha256): fb5d4246f758bf2e5839e93daae4ca023ad4dd2efe8e28d21db63d75971031c9 indicators: mid lower pricedelta close closedelta tail open low bbdelta
No similar strategies found. (based on used indicators)
last change: 2024-08-02 10:55:28