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The NFI5MOHO_WIP strategy is a trading strategy implemented as a class that inherits from the IStrategy class. Here is a breakdown of what the strategy does:
populate_indicators function:
This function takes a dataframe and metadata as input and returns a modified dataframe. It calculates informative indicators using the informative_1h_indicators function.
It merges the informative indicators with the original dataframe using the merge_informative_pair function.
It calculates additional indicators using the normal_tf_indicators function.
The modified dataframe is returned. populate_buy_trend function: This function takes a dataframe and metadata as input and returns a modified dataframe. It defines a list of conditions for buying. Each condition is a logical expression that represents a specific buying condition. The conditions are appended to the list. The modified dataframe is returned. The strategy uses various indicators, such as exponential moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands (BB), and others, to determine buy conditions. The conditions involve comparing the values of these indicators with certain thresholds and making decisions based on the results. Please note that the code provided is not complete and may require additional functions or information to fully understand the strategy.
It merges the informative indicators with the original dataframe using the merge_informative_pair function.
It calculates additional indicators using the normal_tf_indicators function.
The modified dataframe is returned. populate_buy_trend function: This function takes a dataframe and metadata as input and returns a modified dataframe. It defines a list of conditions for buying. Each condition is a logical expression that represents a specific buying condition. The conditions are appended to the list. The modified dataframe is returned. The strategy uses various indicators, such as exponential moving averages (EMA), simple moving averages (SMA), relative strength index (RSI), money flow index (MFI), Bollinger Bands (BB), and others, to determine buy conditions. The conditions involve comparing the values of these indicators with certain thresholds and making decisions based on the results. Please note that the code provided is not complete and may require additional functions or information to fully understand the strategy.
Unable to parse Traceback (Logfile Exceeded Limit)
stoploss: -0.99 timeframe: 5m hash(sha256): 245f4ab9c80fda0f44ae0425cf8c5f5ca67ba9f7ec6979a7d9b9647f3b0e4048 indicators: sma_200_1h upper ema_200 ema_50 safe_dips safe_pump_24_loose_1h close safe_pump_36 ema_15 tail sma_5 safe_pump_36_strict chop bb_lowerband safe_pump_24_strict mfi safe_pump_48_strict ema_200_1h sma ema trima t3 kama bbdelta ewo safe_pump_36_strict_1h safe_pump_24 volume low_offset ema_100_1h i_offset_buy closedelta ema_20 high_offset open safe_pump_36_loose safe_dips_loose safe_pump_24_1h safe_dips_strict volume_mean_30 ema_50_1h bb_upperband_1h sma_200 safe_pump_48_loose volume_mean_4 safe_pump
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last change: 2024-08-02 07:30:25