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The "BBRSI" strategy is a trading strategy implemented in the Freqtrade bot framework. Here's a short description of what the strategy does:
The strategy uses a combination of momentum and overlap study indicators to determine buy and sell signals. Here are the key components of the strategy:
Momentum Indicator:
RSI (Relative Strength Index): Calculates the RSI value based on the price data.
Overlap Studies: Bollinger Bands: Calculates the Bollinger Bands using the typical price (average of high, low, and close) with a window of 20 and 4 standard deviations.
The strategy defines the following parameters: Minimal ROI: Specifies the minimum return on investment (ROI) required for the strategy.
Stoploss: Sets the optimal stop-loss level for the strategy. Ticker Interval: Defines the time interval used for analyzing the ticker data (1 hour in this case). Order Types: Specifies the order types used for buying, selling, and stop-loss orders. Order Time in Force: Sets the time in force for the buy and sell orders. The "populate_indicators" method adds the RSI and Bollinger Bands indicators to the DataFrame containing the price data. The "populate_buy_trend" method generates a buy signal when the price falls below the lower Bollinger Band. The "populate_sell_trend" method generates a sell signal when the RSI value is above 90 and the price is above the middle Bollinger Band. Overall, the strategy aims to buy when the price is low (below the lower Bollinger Band) and sell when the price is high (above the middle Bollinger Band) and the RSI is overbought (above 90).
Overlap Studies: Bollinger Bands: Calculates the Bollinger Bands using the typical price (average of high, low, and close) with a window of 20 and 4 standard deviations.
The strategy defines the following parameters: Minimal ROI: Specifies the minimum return on investment (ROI) required for the strategy.
Stoploss: Sets the optimal stop-loss level for the strategy. Ticker Interval: Defines the time interval used for analyzing the ticker data (1 hour in this case). Order Types: Specifies the order types used for buying, selling, and stop-loss orders. Order Time in Force: Sets the time in force for the buy and sell orders. The "populate_indicators" method adds the RSI and Bollinger Bands indicators to the DataFrame containing the price data. The "populate_buy_trend" method generates a buy signal when the price falls below the lower Bollinger Band. The "populate_sell_trend" method generates a sell signal when the RSI value is above 90 and the price is above the middle Bollinger Band. Overall, the strategy aims to buy when the price is low (below the lower Bollinger Band) and sell when the price is high (above the middle Bollinger Band) and the RSI is overbought (above 90).
stoploss: -0.363 timeframe: 1h hash(sha256): 84070477423da9b2e648ddd6d8f51ec5e97b158c81cac99b272ff9a209435b74 indicators: upper mid lower bb_middleband rsi close bb_upperband bb_lowerband
No similar strategies found. (based on used indicators)
last change: 2023-06-27 09:58:28