Пример #1
0
    def _loadNormalizedCloseValuesForStocks(self, exchangeName, dateFrom, dateTo):
        nasdaqDataRetrieval = HistoricalDataRetrieval(exchangeName)
        stockNames = nasdaqDataRetrieval.getListOfStocks()
        normalizedStocks = []

        timePrinter = RemainingTimePrinter("Loading " + exchangeName + " stocks data", len(stockNames))

        for a in range(len(stockNames)):
            timePrinter.printMessage(a)
            stockName = stockNames[a]
            stockArray = np.array(nasdaqDataRetrieval.loadAdjustedCloseValues(stockName, dateFrom, dateTo), np.float)
            if stockArray.shape[0] > 100 and stockArray[-1]/stockArray[0] > 1.2:
                normalizedStock = stockArray / stockArray[0]
                normalizedStocks.append((stockName, normalizedStock))

        timePrinter.printLastMessage()

        return normalizedStocks
Пример #2
0
 def _findBestSharpeRatioByBruteForce(self, stocksNormalizedCloseValues):
     stocksCount = len(stocksNormalizedCloseValues)
     timePrinter = RemainingTimePrinter("Searching for best sharpe ratio", stocksCount * stocksCount)
     bestStockA = None
     bestStockB = None
     bestProportion = None
     bestSharpe = -1000000
     for a in range(stocksCount):
         for b in range(stocksCount):
             for proportion in self._stocksProportions:
                 timePrinter.printMessage(b + a * stocksCount)
                 if a != b:
                     stockA = stocksNormalizedCloseValues[a]
                     stockB = stocksNormalizedCloseValues[b]
                     if stockA[1].shape[0] == stockB[1].shape[0]:
                         sharpeRatio = statictics.calculateSharpeRatioForStock(stockA[1] + stockB[1]*proportion)
                         if sharpeRatio > bestSharpe:
                             bestStockA = stockA
                             bestStockB = stockB
                             bestProportion = proportion
                             bestSharpe = sharpeRatio
     timePrinter.printLastMessage()
     return bestStockA, bestStockB, bestProportion, bestSharpe