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)