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The "Low_BB" strategy is designed to backtest a trading strategy. Here's a brief description of what the strategy does:
The strategy uses Bollinger Bands and MACD indicators. It aims to buy after the price crosses below 0.98 times the lower Bollinger Band and sell when a trailing stop loss is hit.
The strategy has predefined parameters: Minimal ROI (return on investment) targets are set at different time intervals.
An optimal stoploss level is specified.
The strategy operates on a 1-minute timeframe. The strategy implementation includes the following steps: Populating indicators: Bollinger Bands are calculated using the typical price with a window of 20 and 2 standard deviations. MACD (Moving Average Convergence Divergence) values are calculated. The calculated values are added as columns to the dataframe. Populating buy signals: The strategy generates a buy signal when the closing price is less than or equal to 0.98 times the lower Bollinger Band. Populating sell signals: The strategy generates a sell signal without any specific condition.
The strategy has predefined parameters: Minimal ROI (return on investment) targets are set at different time intervals.
An optimal stoploss level is specified.
The strategy operates on a 1-minute timeframe. The strategy implementation includes the following steps: Populating indicators: Bollinger Bands are calculated using the typical price with a window of 20 and 2 standard deviations. MACD (Moving Average Convergence Divergence) values are calculated. The calculated values are added as columns to the dataframe. Populating buy signals: The strategy generates a buy signal when the closing price is less than or equal to 0.98 times the lower Bollinger Band. Populating sell signals: The strategy generates a sell signal without any specific condition.
stoploss: -0.015 timeframe: 1m hash(sha256): 28a10f9e2e35ff97a3060b5330f93c31d154ea7faad6f7c4e6b5c05a05783557 indicators: macdsignal upper mid lower bb_middleband close bb_upperband bb_lowerband macd macdhist
No similar strategies found. (based on used indicators)
last change: 2023-08-03 13:48:49