def futureResults(similarPatterns):
futureResults = []
fururePrices = []
for i in similarPatterns:
futurePrice = historicData[i[1] + len(currentPattern) + futureDistance]
futurePrices.append(futurePrice)
futurePercentage = percentageChange(historicData[i[1] + len(currentPattern)],futurePrice)
futureResults.append(futurePercentage)
return futureResults
def futureResults(similarPatterns):
futureResults = []
fururePrices = []
for i in similarPatterns:
futurePrice = historicData[i[1] + len(currentPattern) + futureDistance]
futurePrices.append(futurePrice)
futurePercentage = percentageChange(
historicData[i[1] + len(currentPattern)], futurePrice)
futureResults.append(futurePercentage)
return futureResults
def profitLoss(decision, startIndex, endIndex):
historicData = settings.historicData
startPrice = historicData[startIndex]
endPrice = historicData[endIndex]
percentChange = percentageChange(startPrice, endPrice)
if decision == 'HOLD':
return 0
if decision == 'BUY':
return percentChange
if decision == 'SELL':
return -percentChange
def futurePercentChanges(similarPatternIndex):
historicData = settings.historicData
futureDistance = settings.futureDistance
patternLength = settings.patternLength
reqAverageChange = settings.reqAverageChange
futurePercentageChanges = []
for i in similarPatternIndex:
currentPrice = historicData[i[0] + patternLength]
futurePrice = historicData[i[0] + futureDistance + patternLength]
percentage = percentageChange(currentPrice, futurePrice)
futurePercentageChanges.append(percentage)
return futurePercentageChanges