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The "Low_BB" strategy is designed for backtesting trading strategies on a website. Here is a brief description of what the strategy does:
The strategy uses Bollinger Bands and Moving Average Convergence Divergence (MACD) indicators. It has a minimal return on investment (ROI) configuration, which specifies the desired ROI for different time periods.
It also has a stop loss configuration, which determines the maximum acceptable loss before selling.
The strategy operates on a 1-minute timeframe.
The "populate_indicators" function calculates the Bollinger Bands and MACD values and adds them to the dataframe. The "populate_buy_trend" function determines the buy signal based on the condition that the closing price is below 0.98 times the lower Bollinger Band. The "populate_sell_trend" function generates the sell signal. Overall, the strategy aims to buy when the price crosses below 0.98 times the lower Bollinger Band and sell when the trailing stop loss is hit.
It also has a stop loss configuration, which determines the maximum acceptable loss before selling.
The strategy operates on a 1-minute timeframe.
The "populate_indicators" function calculates the Bollinger Bands and MACD values and adds them to the dataframe. The "populate_buy_trend" function determines the buy signal based on the condition that the closing price is below 0.98 times the lower Bollinger Band. The "populate_sell_trend" function generates the sell signal. Overall, the strategy aims to buy when the price crosses below 0.98 times the lower Bollinger Band and sell when the trailing stop loss is hit.
stoploss: -0.015 timeframe: 1m hash(sha256): fa2c70df8480b1fcd50777d3511f67725667a2172adde8efd20577a00240c481
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last change: 2022-07-02 19:54:08