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The BB_RPB_TSL_RNG_2 strategy is a trading strategy that involves multiple indicators and conditions to determine buying opportunities in the market. Here is a breakdown of the important parts of the strategy:
Indicators: The strategy populates various indicators, such as Bollinger Bands with different standard deviations, CCI (Commodity Channel Index), RMI (Relative Momentum Index), STOCHRSI (Stochastic RSI), SMA (Simple Moving Average), EMA (Exponential Moving Average), EWO (Elliott Wave Oscillator), ADX (Average Directional Index), Williams %R, and volume-related indicators. Informative Data: The strategy retrieves past price data for the BTC/USDT pair at a 5-minute timeframe and performs calculations based on this data.
Buy Conditions: The strategy defines several conditions to identify buying opportunities.
These conditions include checking for price dips (using RMI, CCI, and Stochastic RSI), price breaks (using Bollinger Bands and closedelta), local uptrends (using EMA and closedelta), EWO signals (using RSI, EMA, and EWO values), EWO signals with different parameters, and COFI signals (using EMA, fastk, fastd, ADX, and EWO).
Additional Conditions: The strategy also considers various other factors, such as the width and delta of Bollinger Bands, the crossing of the price below the lower Bollinger Band, and the mean volume over a specific period. Buy Tag: The strategy assigns a "buy_tag" to the DataFrame to mark the occurrence of a buy signal. This strategy aims to identify potential buying opportunities based on the defined conditions and indicators.
Buy Conditions: The strategy defines several conditions to identify buying opportunities.
These conditions include checking for price dips (using RMI, CCI, and Stochastic RSI), price breaks (using Bollinger Bands and closedelta), local uptrends (using EMA and closedelta), EWO signals (using RSI, EMA, and EWO values), EWO signals with different parameters, and COFI signals (using EMA, fastk, fastd, ADX, and EWO).
Additional Conditions: The strategy also considers various other factors, such as the width and delta of Bollinger Bands, the crossing of the price below the lower Bollinger Band, and the mean volume over a specific period. Buy Tag: The strategy assigns a "buy_tag" to the DataFrame to mark the occurrence of a buy signal. This strategy aims to identify potential buying opportunities based on the defined conditions and indicators.
stoploss: -0.517 timeframe: 5m hash(sha256): 14386644efb9925b3bbcd8151730030602e332ada3a5d01d30201f54ba9810be 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
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last change: 2023-01-03 00:59:06