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The NFI7MOHO strategy is a backtesting strategy that aims to generate buy signals based on various conditions and indicators. Here is a brief description of what the strategy does:
populate_indicators function:
This function takes a dataframe of price data and additional metadata as input. It calculates informative indicators based on the 1-hour timeframe data.
It merges the informative indicators with the main dataframe.
It calculates additional indicators on the normal timeframe.
It returns the updated dataframe. populate_buy_trend function: This function takes the dataframe and metadata as input. It defines a list of conditions for generating buy signals. It applies a series of protections and logic to determine the buy signals. It assigns the resulting buy triggers to the dataframe. It adds the buy triggers to the list of conditions if enabled. It returns the updated dataframe. The strategy uses multiple protection measures and logic to generate buy signals based on indicators such as exponential moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands (BB), and various price and volume conditions. The strategy allows for customization through parameters that control the behavior of the conditions and protections.
It merges the informative indicators with the main dataframe.
It calculates additional indicators on the normal timeframe.
It returns the updated dataframe. populate_buy_trend function: This function takes the dataframe and metadata as input. It defines a list of conditions for generating buy signals. It applies a series of protections and logic to determine the buy signals. It assigns the resulting buy triggers to the dataframe. It adds the buy triggers to the list of conditions if enabled. It returns the updated dataframe. The strategy uses multiple protection measures and logic to generate buy signals based on indicators such as exponential moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands (BB), and various price and volume conditions. The strategy allows for customization through parameters that control the behavior of the conditions and protections.
startup_candle_count : 400 ema_100_1h: 0.001% ema_200_1h: 0.078% ewo: 0.086%
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): fd4b8fbca94279364e303b10f769aec62945d3d5a528c92f83fce66256e7200c 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 sma_200_dec_20 low_offset buy_09_trigger safe_pump_24_120 safe_dips_70 sell_pump_36_1_1h ema_20 buy_21_trigger safe_pump_48_30 safe_pump_48_100_1h oc_pct_change_48 sell_pump_48_1_1h high tpct_change_2 safe_dips_30 i_offset_sell sell_pump_48_3 safe_pump_48_10 safe_dips_80 rsi_1h bb20_2_mid ema_12 tpct_change_12 safe_pump_48_50
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last change: 2024-08-02 10:57:30