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The BB_RPB_TSL_RNG strategy is a trading strategy that involves the use of various indicators to make buy decisions in the backtesting process. Here is a brief description of what the strategy does:
The strategy uses Bollinger Bands with different standard deviations (2 and 3) to identify price volatility and potential trading opportunities. It calculates the lower, middle, and upper bands for each standard deviation.
It also analyzes the price movement of Bitcoin (BTC) in a 5-minute timeframe and compares it to certain thresholds.
It calculates the threshold based on the previous price data and determines whether BTC has experienced a significant drop within 5 minutes.
The strategy calculates additional indicators such as CCI (Commodity Channel Index), RMI (Relative Momentum Index), STOCHRSI (Stochastic RSI), SMA (Simple Moving Average), CTI (Cumulative Technical Index), EMA (Exponential Moving Average), Hull Moving Average, RSI (Relative Strength Index), EWO (Elliott Wave Oscillator), ADX (Average Directional Index), and Williams %R. Based on the values of these indicators and certain conditions, the strategy determines buy signals. It checks for conditions such as price dip, price breakout, local uptrend, EWO values, and COFI (Crossed Over FastK and FastD Indicators). Overall, the BB_RPB_TSL_RNG strategy combines multiple indicators and conditions to identify potential buying opportunities in the backtesting process.
It also analyzes the price movement of Bitcoin (BTC) in a 5-minute timeframe and compares it to certain thresholds.
It calculates the threshold based on the previous price data and determines whether BTC has experienced a significant drop within 5 minutes.
The strategy calculates additional indicators such as CCI (Commodity Channel Index), RMI (Relative Momentum Index), STOCHRSI (Stochastic RSI), SMA (Simple Moving Average), CTI (Cumulative Technical Index), EMA (Exponential Moving Average), Hull Moving Average, RSI (Relative Strength Index), EWO (Elliott Wave Oscillator), ADX (Average Directional Index), and Williams %R. Based on the values of these indicators and certain conditions, the strategy determines buy signals. It checks for conditions such as price dip, price breakout, local uptrend, EWO values, and COFI (Crossed Over FastK and FastD Indicators). Overall, the BB_RPB_TSL_RNG strategy combines multiple indicators and conditions to identify potential buying opportunities in the backtesting process.
startup_candle_count : 50 rmi_length_17: 1.717% ema_12: -0.001% ema_13: -0.001% ema_16: -0.002% ema_26: -0.040% rsi: 1.737% rsi_fast: 0.006% rsi_slow: 2.186% adx: 32.037% ma_sell_24: -0.024%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): 841148b7f976afeebb82d91feb1428f1a8c9e26e9e74257ab658ef90e9f5104b indicators: upper bb_middleband3 bb_upperband3 btc_1d EWO btc_5m ema_13 close high_offset_2 cci_length_val fastk rsi_fast ma_sell_val srsi_fk r_14 bb_middleband2 volume srsi_fd cci_long closedelta bb_bottom_cross high_offset open bb_delta btc_diff fastd btc_threshold sma_15 bb_upperband2 high volume_mean_4 mid bb_width ema_8 ema_16 cci rmi_length_val base_nb_candles_sell hma_50 bb_lowerband3 cti sma_9 ema_100 adx lower ema_12 sma_30 rsi_slow rsi ema_26 low btc_dif bb_lowerband2
Similar Strategies: (based on used indicators)
Strategy: BB_RPB_TSL_RNG_2, Similarity Score: 98.15%
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last change: 2024-08-02 09:12:46