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Strategy: BB_RTR_dca_157
Downloaded: 20220123
Stoploss: -0.998

Strategy failed backtesting!
Reason: Duplicate of BB_RTR_dca_0

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The BB_RTR strategy is a trading strategy that utilizes various technical indicators to generate trading signals. Here is a brief description of what the strategy does: Populating indicators: The strategy first populates a set of indicators using the input dataframe and metadata. It calculates Bollinger Bands with two different standard deviations (2 and 3) and their corresponding upper and lower bands.

It also calculates the width of the Bollinger Bands, delta between lower bands, and detects crosses below the lower band.

Additionally, it computes several other indicators such as Commodity Channel Index (CCI), Relative Momentum Index (RMI), Stochastic RSI (SRSI), Simple Moving Averages (SMA), Chaikin Money Flow (CMF), Money Flow Index (MFI), Exponential Moving Averages (EMA), Hull Moving Average (HMA), Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), Elder's Force Index (EWO), Average Directional Index (ADX), Heikin-Ashi candles, and more.

Further calculations: The strategy performs additional calculations using the populated indicators. It computes various values such as band widths, differences between moving averages and VWAP, percentage changes, momentum divergences, CMF divergences, rate of change ratios, and more. Informative timeframe: The strategy also fetches an informative timeframe (1-hour) and performs similar indicator calculations on that timeframe. It calculates Heikin-Ashi candles, Bollinger Bands, widths, RSI, EMA, Williams %R, CTI, and other indicators. Overall, the BB_RTR strategy incorporates a wide range of technical indicators to analyze price movements and generate trading signals.

stoploss: -0.998
timeframe: 5m
hash(sha256): 9cbf1da4f068cc5d3437b9dd8496c54ca1d0cb30cf5a28b566cbbd00d3f558bd
indicators:
upper close high_offset_2 cmf_div_slow vwap_upperband
volume_mean_12 rsi_fast volume ema_20 ha_closedelta
momdiv_coh bb_upperband2 volume_mean_24 high tpct_change_2
ema_8 cci bb_lowerband3 rsi_1h momdiv_col
ha_high adx ema_12 ema_slow ema_26
cti_40_1h bb_width_1h bb_lowerband2_40 bb_upperband2_40 vwap_width
sma_21 momdiv_buy bb_middleband2 r_84_1h closedelta
sma_15 ha_open volume_mean_4 ema_20_1h ema_24
cmf rmi_length_val hma_50 vwap lower
rsi cti_40 momdiv_sell vwap_middleband bb_middleband3
bb

Similar Strategies: (based on used indicators)

Strategy: BB_RTR_dca_0, Similarity Score: 98.08%
Strategy: BB_RTR, Similarity Score: 96.15%
Strategy: BB_RTR_dca, Similarity Score: 96.15%
Strategy: BB_DCAv2, Similarity Score: 94.23%
Strategy: BB_RTR_X2, Similarity Score: 94.23%
Strategy: BB_RTR_dca_144, Similarity Score: 94.23%
Strategy: Discord_BB_RTR3c, Similarity Score: 94.23%
Strategy: BB_DCAv3, Similarity Score: 90.38%
Strategy: BB_DCAv3b, Similarity Score: 90.38%
Strategy: BB_RTR_2, Similarity Score: 90.38%
Strategy: BB_RTR_3, Similarity Score: 90.38%
Strategy: BB_RTR_X, Similarity Score: 90.38%
Strategy: BB_RTR_dca_1, Similarity Score: 90.38%
Strategy: BB_RTR_dca_250, Similarity Score: 90.38%
Strategy: BB_RTR_dca_test, Similarity Score: 90.38%
Strategy: BB_RTR_dca_v002, Similarity Score: 90.38%
Strategy: BB_RTR_nstp, Similarity Score: 90.38%
Strategy: BB_RTR_stp, Similarity Score: 90.38%
Strategy: BB_RTR_test, Similarity Score: 90.38%
Strategy: Big_boy, Similarity Score: 90.38%
Strategy: Discord_1_BB_RTR, Similarity Score: 90.38%
Strategy: BB_RTR_l2, Similarity Score: 86.54%
Strategy: meneguzzo_v3, Similarity Score: 75%
Strategy: meneguzzo_v4_dca, Similarity Score: 75%

last change: 2022-08-04 18:13:22