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designed a test which works!

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Mark 2024-03-19 13:29:08 +01:00
parent fffd4b9e58
commit fa46ed472f
2 changed files with 18 additions and 4 deletions
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5
market_trade/core/trandeVoter.py
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@ -44,8 +44,9 @@ class trandeVoter():
#заполнение матрицы вероятностей вычисляемыми значениями из матрицы сумм
def generateMatrixProbability(self) -> None:
for i in range(self.matrixAmounts.shape[0]):
rowSum=sum(self.matrixAmounts.iloc[i])
self.matrixProbability.iloc[i]['up'] = (self.matrixAmounts.iloc[i]['up'] / rowSum)
print(self.matrixAmounts)
rowSum=sum(self.matrixAmounts.iloc[i]) + 1
self.matrixProbability.iloc[i]['up'] = self.matrixAmounts.iloc[i]['up'] / rowSum
self.matrixProbability.iloc[i]['none'] = self.matrixAmounts.iloc[i]['none'] / rowSum
self.matrixProbability.iloc[i]['down'] = self.matrixAmounts.iloc[i]['down'] / rowSum

17
market_trade/tests/test_decision.py
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@ -45,6 +45,19 @@ sigAgrRetroTemplate = {
}
}
retroAns = test.getRetroTrendAns(sigAgrRetroTemplate,df_candle[:5000],40)
retroAns = test.getRetroTrendAns(sigAgrRetroTemplate,df_candle[5000:6000].reset_index(drop=True),40)
print(test.generateMatrixProbabilityFromDict(retroAns))
test.generateMatrixProbabilityFromDict(retroAns)
sigAgrData = {
'sig_BB':{
'signalData': df_candle[990:1000],
'indicatorData' :{'ind_BB': df_candle[:1000]}
},
'sig_BB_2':{
'signalData': df_candle[990:1000],
'indicatorData' :{'ind_BB': df_candle[:1000]}
}
}
test.getOnlineAns(sigAgrData, 0.0)