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Strategy: bbrsi_4
Downloaded: 20230426
Stoploss: -0.99
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Reason: Duplicate of Discord_1_bbrsi

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The BBRSI strategy is a trading strategy that combines the Bollinger Bands and Relative Strength Index (RSI) indicators to generate buy and sell signals. Here is a breakdown of how the strategy works: The strategy uses the Bollinger Bands indicator to identify price levels that are relatively high or low compared to recent price action. The Bollinger Bands consist of three lines: the upper band, the middle band, and the lower band.

The distance between the upper and lower bands is determined by the standard deviation of the price.

The strategy calculates the RSI indicator, which measures the speed and change of price movements.

RSI values above 70 indicate an overbought condition, while values below 30 indicate an oversold condition. In the populate_buy_trend method, the strategy generates a buy signal when the RSI is above 30 (indicating oversold) and the closing price is below the lower Bollinger Band. This suggests a potential reversal and a buying opportunity. In the populate_sell_trend method, the strategy generates a sell signal when the closing price is above the middle Bollinger Band. This indicates that the price has moved away from the oversold condition and may be reaching a relatively high level. The strategy sets a minimal return on investment (ROI) of 100% and a stop loss of -0.99 (99% loss) to define the profit target and risk management parameters. The strategy operates on the 1-hour timeframe and requires at least 20 candles of historical data before producing valid signals. The strategy supports plotting various indicators such as the Triple Exponential Moving Average (TEMA), Parabolic SAR, MACD, and RSI on the price chart. Overall, the BBRSI strategy aims to capitalize on potential price reversals indicated by oversold conditions (low RSI) and the deviation of the price from the Bollinger Bands. It generates buy signals when the price is relatively low and sell signals when the price is relatively high.

stoploss: -0.99
timeframe: 1h
hash(sha256): 0013fe494a98d98b02becc48bd35ce209567ec29ac48d886a4c810f4c8d5c7c7

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last change: 2023-04-26 07:54:19