def DownloadAndGraphStocks(tickerList: list): for ticker in tickerList: prices = PricingData(ticker) print('Loading ' + ticker) if prices.LoadHistory(True): print('Calcualting stats ' + ticker) prices.NormalizePrices() prices.CalculateStats() prices.PredictPrices(2, 15) prices.NormalizePrices() prices.SaveStatsToFile(True) psnap = prices.GetCurrentPriceSnapshot() titleStatistics = ' 5/15 dev: ' + str( round(psnap.fiveDayDeviation * 100, 2)) + '/' + str( round(psnap.fifteenDayDeviation * 100, 2)) + '% ' + str( psnap.low) + '/' + str( psnap.nextDayTarget) + '/' + str( psnap.high) + ' ' + str( psnap.snapshotDate)[:10] print('Graphing ' + ticker + ' ' + str(psnap.snapshotDate)[:10]) for days in [90, 180, 365, 2190, 4380]: prices.GraphData(None, days, ticker + '_days' + str(days) + ' ' + titleStatistics, (days < 1000), True, str(days).rjust(4, '0') + 'd', trimHistoricalPredictions=False)
def DownloadAndSaveStocksWithStats(tickerList: list): for ticker in tickerList: prices = PricingData(ticker) print('Loading ' + ticker) if prices.LoadHistory(requestedEndDate=GetTodaysDate()): print('Calcualting stats ' + ticker) prices.CalculateStats() prices.SaveStatsToFile(includePredictions=False, verbose=True)
def PlotPrediction(ticker: str = '^SPX', predictionMethod: int = 0, daysToGraph: int = 60, daysForward: int = 5, learnhingEpochs: int = 500): print('Plotting predictions for ' + ticker) prices = PricingData(ticker) if prices.LoadHistory(True): prices.NormalizePrices() prices.PredictPrices(predictionMethod, daysForward, learnhingEpochs) prices.NormalizePrices() prices.GraphData(None, daysToGraph, ticker + ' ' + str(daysToGraph) + 'days', True, True, str(daysToGraph) + 'days') prices.SaveStatsToFile(True)