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The BBRSI strategy is a default strategy provided by the freqtrade bot. It is used for backtesting trading strategies. Here's a brief explanation of what the strategy does:
The strategy uses several technical indicators to make buy and sell decisions.
It calculates the Relative Strength Index (RSI) as a momentum indicator to identify overbought and oversold conditions.
It also utilizes Bollinger Bands, which are a volatility indicator consisting of three lines: the upper band, the middle band, and the lower band.
In the "populate_indicators" function, the RSI and Bollinger Bands are calculated and added to the DataFrame. In the "populate_buy_trend" function, a buy signal is generated when the RSI is greater than 5 and the closing price is below the lower Bollinger Band with 3 standard deviations. In the "populate_sell_trend" function, a sell signal is generated when the RSI is greater than 88 and the closing price is above the upper Bollinger Band with 1 standard deviation. The strategy also specifies the minimal return on investment (ROI) and the stop loss values. It sets the ticker interval to 1 hour and defines the order types and time in force for the orders. Please note that this is a brief overview, and there may be additional details and considerations involved in implementing and using this strategy effectively.
It calculates the Relative Strength Index (RSI) as a momentum indicator to identify overbought and oversold conditions.
It also utilizes Bollinger Bands, which are a volatility indicator consisting of three lines: the upper band, the middle band, and the lower band.
In the "populate_indicators" function, the RSI and Bollinger Bands are calculated and added to the DataFrame. In the "populate_buy_trend" function, a buy signal is generated when the RSI is greater than 5 and the closing price is below the lower Bollinger Band with 3 standard deviations. In the "populate_sell_trend" function, a sell signal is generated when the RSI is greater than 88 and the closing price is above the upper Bollinger Band with 1 standard deviation. The strategy also specifies the minimal return on investment (ROI) and the stop loss values. It sets the ticker interval to 1 hour and defines the order types and time in force for the orders. Please note that this is a brief overview, and there may be additional details and considerations involved in implementing and using this strategy effectively.
startup_candle_count : 50 rsi: -0.231%
stoploss: -0.427 timeframe: 1h hash(sha256): feb0bfcbf39d138f2f5dbf0feeea73dcbeec37111a2e70497de64513783010f4 indicators: upper mid lower bb_middleband3 bb_upperband3 bb_lowerband1 bb_upperband1 close rsi bb_middleband1 bb_lowerband3
No similar strategies found. (based on used indicators)
last change: 2023-06-27 23:26:00