The BbandRsi strategy is a backtesting strategy that combines Bollinger Bands and the Relative Strength Index (RSI) to identify potential buying and selling opportunities in the market. Here's a breakdown of what the strategy does:
Indicator Population:
RSI: The strategy calculates the RSI indicator with a time period of 14 and adds it to the dataframe. Bollinger Bands: The strategy calculates the Bollinger Bands using the typical price and a window of 20 with 2 standard deviations.
It adds the lower, middle, and upper bands to the dataframe.
Buy Signal: The strategy identifies a buy signal when both of the following conditions are met: RSI: The RSI value is below 30.
Bollinger Bands: The closing price is below the lower Bollinger Band. Sell Signal: The strategy identifies a sell signal when the RSI value is above 70. The strategy aims to take advantage of potential oversold conditions when the RSI is low and the price is below the lower Bollinger Band, indicating a possible reversal and buying opportunity. It also suggests selling when the RSI is high, which may indicate an overbought condition. The strategy sets a minimal return on investment (ROI) of 0.1 and a stop-loss of -0.25. It operates on 1-hour candlestick data (ticker interval). Please note that this is a simplified explanation, and there may be additional considerations and parameters involved in the actual implementation and backtesting process.
It adds the lower, middle, and upper bands to the dataframe.
Buy Signal: The strategy identifies a buy signal when both of the following conditions are met: RSI: The RSI value is below 30.
Bollinger Bands: The closing price is below the lower Bollinger Band. Sell Signal: The strategy identifies a sell signal when the RSI value is above 70. The strategy aims to take advantage of potential oversold conditions when the RSI is low and the price is below the lower Bollinger Band, indicating a possible reversal and buying opportunity. It also suggests selling when the RSI is high, which may indicate an overbought condition. The strategy sets a minimal return on investment (ROI) of 0.1 and a stop-loss of -0.25. It operates on 1-hour candlestick data (ticker interval). Please note that this is a simplified explanation, and there may be additional considerations and parameters involved in the actual implementation and backtesting process.
stoploss: -0.25 timeframe: 1h hash(sha256): 81624c1c2024a6674c986d6aa1440e56f5995ffb4771bd2501440058fa539b7d indicators: upper mid lower bb_middleband rsi close bb_upperband bb_lowerband
No similar strategies found. (based on used indicators)
last change: 2024-04-28 08:52:25