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Strategy: BB_RPB_TSL_4
Downloaded: 20230426
Stoploss: -0.99
5mFailedSpotv2Link

Strategy failed backtesting!
Reason: Duplicate of BB_RPB_TSL_600

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The BB_RPB_TSL strategy is a trading strategy implemented as a class in Python. Here is a short description of what the strategy does: The populate_indicators method takes a DataFrame and a metadata dictionary as inputs and returns a DataFrame. It calculates informative indicators based on the given DataFrame and merges them with the original DataFrame using the merge_informative_pair function.

The populate_buy_trend method takes a DataFrame and a metadata dictionary as inputs and returns a DataFrame.

It defines several conditions for identifying potential buying opportunities in the market.

These conditions include checking for a dip in specific indicators like RMI, CCI, and SRSI, as well as checking for a squeeze-off in Bollinger Bands and Keltner Channels. The method also considers local uptrends, local dips, EWO (Elliott Wave Oscillator), RSI (Relative Strength Index), and other technical indicators to determine buy signals. Overall, the strategy aims to identify favorable market conditions and generate buy signals based on a combination of technical indicators.

stoploss: -0.99
timeframe: 5m
hash(sha256): 63cb3a7e138e78b2b9bf0ce7d8084749425251f78b288de42b55aadb6e157d92
indicators:
upper close volume_mean_12 ema_200_1h avg_val_20
rsi_fast r_480_1h volume xe1 ema_20
source ha_closedelta momdiv_coh trange bb_upperband2
volume_mean_24 high ema_8 r_480 cci
bb_lowerband3 rsi_1h xe6 final_ub momdiv_col
ha_high pm adx ema_12 sma_28
T3Average ema_slow ema_26 bb_width_1h bb_lowerband2_40
cmf_1h bb_upperband2_40 basic_ub sma_21 momdiv_buy
bb_middleband2 closedelta sma_15 ha_open volume_mean_4
avg_close_20 cmf rmi_length_val lower roc
T3 r_32 rsi T3_1h ll_20
xe3 momdiv_sell hh_20 crs

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last change: 2023-04-26 07:42:38