'stochastic_Slow_Signal', 'momentumIndicator', 'Fractal_Upper'
] # , 'Fractal_Lower']#'stochasticArr_Slow_Signal', 42 = 'momentumIndicator' 43 = 'Fractal.Upper' 44 = 'Fractal.Lower'
x = df.loc[subColumnList].values
return self.rfBigMove.getPredSimpleTest1(x.reshape(1, -1))[0]
def randomForestDir(self, dataScoure):
row = dataScoure.getRow()
df = pd.Series(row).T
subColumnList = [
'Bollinger.Upper.MediumPrice.SD2', 'RSI(close)', 'MFI', 'MacDMain',
'SMA.weighted', 'Alligator.LipsCurChart', 'Alligator.Jaw5min',
'SDPriceValueMedium', 'stochastic_Fast_Main',
'stochastic_Fast_Signal', 'stochastic_Slow_Main',
'stochastic_Slow_Signal', 'momentumIndicator', 'Fractal_Upper',
'Fractal_Lower'
]
x = df.loc[subColumnList].values
return self.rfDirection.getPredSimpleTest1(x.reshape(1, -1))[0]
#TODO create better test cases, I dunno even know what is happening below or why?
if __name__ == "__main__":
test = FeatureProvider()
from DataSource import DataSource
path = 'C:/Users/garre/AppData/Roaming/MetaQuotes/Terminal/B83207E76A7859F5556693074AFE91E8/MQL4/Files/Data/Math748PriceSending.csv'
new = DataSource.CleanBrokerData(path)
new.advance()
print(test.randomForest20PosMov(new))
