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Strategy: Comb_ho4_7_H9
Downloaded: 20220116
Stoploss: -0.99


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Average Overall
BuysAvgprofTotProfWin%DD%Time
49.750.030.462.254.1394.45
SharpeSortinoCalmar
0.40.492.53
Prof.FactorExpectancyCagr
0.3200
Trades/DayRejected Signals
1.7618.5
Ninja Score: 56
The "Comb_ho4_7_H9" strategy is a trading strategy that is implemented as a class in Python. It inherits from the "IStrategy" class. Here is a breakdown of what the strategy does: populate_indicators: This method is responsible for calculating and populating the indicator values for the given dataframe.

It merges the informative 1-hour indicators with the current timeframe indicators and returns the updated dataframe.

populate_buy_trend: This method is responsible for determining the buy signals or conditions for the strategy.

It defines multiple conditions using a combination of indicators and other parameters. The conditions are as follows: Condition 1: The close price is below a moving average value, EWO (Elliott Wave Oscillator) is above a certain threshold, RSI (Relative Strength Index) is below a certain threshold, and volume is greater than zero. Condition 2: The close price is below a different moving average value, EWO is below a certain threshold, and volume is greater than zero. Condition 3: The close price is above a moving average value, EWO is above a certain threshold, RSI is below a certain threshold, and volume is greater than zero. Condition 4: The close price is above a different moving average value, EWO is below a certain threshold, and volume is greater than zero. Each condition is built using specific columns from the dataframe and adjustable parameters. The resulting buy signals are stored in a column called "buy_01_trigger." Additionally, there are two more sets of conditions defined as "buy_02_trigger" and "buy_03_trigger." These conditions involve different combinations of indicators and parameters. The final buy signals are determined based on the enable status of each set of conditions. If enabled, the corresponding trigger column is considered as a buy signal. Overall, the strategy combines various technical indicators such as moving averages, oscillators, and volume to identify potential buying opportunities in the market.

startup_candle_count : 400
ema_200_1h: 0.035%
ema_200: -0.013%
ewo: 1.969%
EWO: 1.969%
stoploss: -0.99
timeframe: 5m
hash(sha256): 71bbc4e6a6698870bf176e3937dfb768b245b86c8a971f3b43ffe7dfdfe947e6
indicators:
sell_pump_36_3_1h sma_200_1h upper safe_pump_24_30 close
ema_15 sell_pump_36_2 sma_5 sell_pump_24_1_1h buy_22_trigger
ema_200_1h ewo buy_17_trigger safe_pump_24_100 volume
tsi_s sma_200_dec_20 buy_09_trigger tsi_ safe_pump_24_120
safe_dips_70 sell_pump_36_1_1h ema_20 source safe_pump_48_30
safe_pump_48_100_1h buy_21_trigger oc_pct_change_48 sell_pump_48_1_1h high
mval_ma_sell_bearishval fast_ewo tpct_change_2 safe_dips_30 mval_ma_buy_bearishval
sell_pump_48_3 safe_pump_48_10 safe_dips_80 rsi_1h 

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last change: 2024-04-02 00:32:23