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The BbandRsi strategy is designed to backtest a trading strategy based on Bollinger Bands and the Relative Strength Index (RSI). Here's a breakdown of what the strategy does:
The strategy uses the Bollinger Bands indicator to identify potential entry and exit points. Bollinger Bands consist of three lines: the upper band, the middle band, and the lower band.
These bands are calculated based on the standard deviation of price from a moving average.
The strategy also calculates the RSI indicator, which measures the strength and momentum of price movements.
RSI values range from 0 to 100 and are commonly used to identify overbought and oversold conditions in the market. In the populate_indicators method, the strategy populates the dataframe with the RSI values and calculates the Bollinger Bands using the typical price (average of high, low, and close prices). The populate_buy_trend method defines the conditions for buying a particular asset. In this strategy, a buy signal is generated when the RSI is below 30 (indicating oversold conditions) and the closing price is below the lower Bollinger Band. The populate_sell_trend method defines the conditions for selling a particular asset. In this strategy, a sell signal is generated when the RSI is above 70 (indicating overbought conditions). The strategy sets a minimal return on investment (ROI) of 0.1 (10%) and a stop loss of -0.25 (25%) to manage risk. These values can be adjusted in the configuration file. The strategy is designed to be used with a timeframe of 1 hour, meaning it operates on hourly candlestick data. Overall, the BbandRsi strategy combines the Bollinger Bands and RSI indicators to identify potential buying and selling opportunities based on oversold and overbought conditions in the market.
These bands are calculated based on the standard deviation of price from a moving average.
The strategy also calculates the RSI indicator, which measures the strength and momentum of price movements.
RSI values range from 0 to 100 and are commonly used to identify overbought and oversold conditions in the market. In the populate_indicators method, the strategy populates the dataframe with the RSI values and calculates the Bollinger Bands using the typical price (average of high, low, and close prices). The populate_buy_trend method defines the conditions for buying a particular asset. In this strategy, a buy signal is generated when the RSI is below 30 (indicating oversold conditions) and the closing price is below the lower Bollinger Band. The populate_sell_trend method defines the conditions for selling a particular asset. In this strategy, a sell signal is generated when the RSI is above 70 (indicating overbought conditions). The strategy sets a minimal return on investment (ROI) of 0.1 (10%) and a stop loss of -0.25 (25%) to manage risk. These values can be adjusted in the configuration file. The strategy is designed to be used with a timeframe of 1 hour, meaning it operates on hourly candlestick data. Overall, the BbandRsi strategy combines the Bollinger Bands and RSI indicators to identify potential buying and selling opportunities based on oversold and overbought conditions in the market.
stoploss: -0.25 timeframe: 1h hash(sha256): 5504ab23b90a569598cef02a77a542551662c1e1f7231ba862f9472e966f308b
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last change: 2022-07-02 19:54:08