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The BbandRsi strategy is a trading strategy that combines Bollinger Bands and the Relative Strength Index (RSI) indicators to determine buy and sell signals. Here is a short description of how the strategy works:
The strategy uses a 1-day ticker interval, meaning it analyzes daily price data. The strategy calculates the RSI indicator with a time period of 14 days.
It also calculates the Bollinger Bands indicator with a window of 20 days and standard deviation of 3.
For the buy signal: The RSI value should be below 30, indicating oversold conditions.
The closing price of the current candle should be below the lower Bollinger Band. The closing price of the current candle should be above the lower Bollinger Band. For the sell signal: The RSI value should be above 70, indicating overbought conditions. The closing price of the current candle should be above the middle Bollinger Band. When the conditions for buying or selling are met, the strategy sets a flag (1) in the corresponding 'buy' or 'sell' column of the dataframe. The strategy also includes predefined values for minimal return on investment (ROI) and stop-loss levels, which can be adjusted based on market conditions. Note: This description provides a general understanding of the strategy, but it's always recommended to thoroughly test and validate any trading strategy before using it with real funds.
It also calculates the Bollinger Bands indicator with a window of 20 days and standard deviation of 3.
For the buy signal: The RSI value should be below 30, indicating oversold conditions.
The closing price of the current candle should be below the lower Bollinger Band. The closing price of the current candle should be above the lower Bollinger Band. For the sell signal: The RSI value should be above 70, indicating overbought conditions. The closing price of the current candle should be above the middle Bollinger Band. When the conditions for buying or selling are met, the strategy sets a flag (1) in the corresponding 'buy' or 'sell' column of the dataframe. The strategy also includes predefined values for minimal return on investment (ROI) and stop-loss levels, which can be adjusted based on market conditions. Note: This description provides a general understanding of the strategy, but it's always recommended to thoroughly test and validate any trading strategy before using it with real funds.
stoploss: -0.25 timeframe: 1d hash(sha256): 1ff1ecf6c83413d1119c45774516ab356d02a8b964d31ee493a44855b6a92157 indicators: upper mid lower bb_middleband rsi close bb_upperband bb_lowerband
No similar strategies found. (based on used indicators)
last change: 2024-05-02 09:54:14