Strategy: BBRSIoriginal
Downloaded: 20220112
Stoploss: -0.368

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The BBRSIoriginal strategy is a trading strategy implemented in Python using the Freqtrade bot framework. Here's a short description of what the strategy does: The strategy uses technical analysis indicators to generate buy and sell signals for trading. It aims to achieve a specific return on investment (ROI) with a defined stop loss.

The strategy is designed to work with ticker data at a 1-hour interval.

The strategy uses the following indicators: RSI (Relative Strength Index): It calculates the relative strength of the asset's price movements and helps identify overbought and oversold conditions.

Bollinger Bands: They consist of three lines plotted around the asset's price. The middle band represents the moving average, and the upper and lower bands indicate the standard deviation from the moving average. Bollinger Bands help identify volatility and potential price reversals. The strategy's buy signal conditions are as follows: When the asset's price is below the lower Bollinger Band (bb_lowerband3), indicating potential oversold conditions. The strategy's sell signal conditions are as follows: When the RSI is above 75, indicating potential overbought conditions. When the asset's price is above the middle Bollinger Band (bb_middleband), indicating a potential price reversal. The strategy's parameters, such as ROI targets and stop loss, are predefined. The buy and sell signals are populated in the dataframe with '1' to indicate the respective trading actions. Please note that the strategy can be further customized or optimized based on specific trading preferences and market conditions.

startup_candle_count : 1000
Recursive Analysis found no issues while using 1000 startup_candle_count
stoploss: -0.368
timeframe: 1h
hash(sha256): 0b7f8f86963ffa798c0c4013ffd9a0470195562923b51ae5892073cb5de37efd
upper mid lower bb_middleband3 bb_upperband3
bb_middleband rsi close bb_upperband bb_lowerband

No similar strategies found. (based on used indicators)

last change: 2023-06-24 20:52:36