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Strategy: BBMod1
Downloaded: 20220124
Stoploss: -0.99
5mSpotv2UnbiasedLink


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Average Overall
BuysAvgprofTotProfWin%DD%Time
106.250.23.6772.755.1891.95
SharpeSortinoCalmar
2.694.9540.85
Prof.FactorExpectancyCagr
0.4600
Trades/DayRejected Signals
4.0352.75
Ninja Score: 64
The BBMod1 strategy is a trading strategy that involves backtesting and making buy decisions based on various technical indicators. Here is a summary of the strategy's important components: populate_indicators: This function calculates and adds additional informative indicators to the input dataframe, such as indicators based on 1-hour data. These indicators are used for further analysis in the strategy.

populate_buy_trend: This function determines the conditions for initiating a buy trade.

It sets the buy_tag column of the dataframe based on different sets of conditions.

The following conditions are checked: is_dip: Checks if specific indicators (RMI, CCI, SRSI) are below certain threshold values. is_break: Checks if indicators related to Bollinger Bands (BB) and price movement meet certain criteria. is_local_uptrend: Checks if indicators related to local uptrends (EMA crossovers, BB, and price movement) meet certain criteria. is_local_uptrend2: Similar to is_local_uptrend, but with different parameter values. is_local_dip: Checks if indicators related to local dips (EMA crossovers, RSI, CRSI, and price movement) meet certain criteria. is_ewo: Checks if indicators related to EWO (Elliott Wave Oscillator), RSI, and EMA meet certain criteria. is_r_deadfish: Checks if indicators related to reverse deadfish pattern (EMA crossovers, BB, volume, CTI, and RSI) meet certain criteria. is_clucha: Checks if indicators related to Clucha pattern (ROCR, BB, and price movement) meet certain criteria. is_clucha2: Similar to is_clucha, but with different parameter values. is_cofi: Checks if indicators related to COFI pattern (EMA, FastK/FastD crossover, ADX, EWO, CTI, and RSI) meet certain criteria. is_nfi_32: Checks if indicators related to NFI-32 pattern (RSI, SMA, CTI, and price movement) meet certain criteria. is_nfi_33: Checks if indicators related to NFI-33 pattern (EMA, EWO, CTI, RSI, volume, and price movement) meet certain criteria. is_nfi_38: Checks if indicators related to NFI-38 pattern (PM, SMA, EWO, CTI, RSI, CRSI, and price movement) meet certain criteria. is_nfix_5: Checks if indicators related to NFIX-5 pattern (EMA, SMA, EWO, CTI, RSI, and price movement) meet certain criteria. is_nfix_39: (The description of this condition is incomplete in the provided code.) The strategy evaluates these conditions and assigns a specific buy_tag value to the dataframe based on which conditions are satisfied. The buy_tag will be used to determine when to execute a buy trade in the backtesting process.

startup_candle_count : 120
ema_50_1h: -0.009%
ema_100_1h: 0.234%
rsi_1h: 0.005%
rmi_length_17: 0.002%
srsi_fk: 0.409%
srsi_fd: 0.410%
hma_50: 0.020%
ema_26: 0.001%
ema_50: 0.030%
ema_100: 0.094%
rsi: -0.053%
rsi_slow: -0.716%
rsi_84: -13.138%
ema_slow: 0.031%
adx: 0.873%
fisher: 0.929%
stoploss: -0.99
timeframe: 5m
hash(sha256): 0eda269f4af00c9289e9a4ea03c5afe995ddeda9802ec9361ee0421bcbc1b18f
indicators:
upper close high_offset_2 volume_mean_12 ema_200_1h
safe_dump_50 avg_val_20 rsi_fast volume xe1
ema_20 source ha_closedelta momdiv_coh trange
bb_upperband2 volume_mean_24 high ema_8 r_480
cci bb_lowerband3 xe6 final_ub low_5
momdiv_col ha_high pm adx ema_12
sma_28 T3Average ema_slow ema_26 bb_lowerband2_40
bb_upperband2_40 basic_ub sma_21 ma_sell_val momdiv_buy
bb_middleband2 closedelta sma_15 ha_open volume_mean_4
tcp_percent_4 avg_close_20 cmf rmi_length_val hma_50
vwap kc_lowerband_20_2 lower

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last change: 2024-04-01 19:45:33