symbols = scrape_symbols()
#dates we are dealing with to scrape data
currentDate = datetime.now().date()
fiveYearsAgo = datetime.now() - relativedelta(years=5)
fiveYearsAgo = fiveYearsAgo.date()
startDate = fiveYearsAgo.strftime('%Y-%m-%d')
endDate = currentDate.strftime('%Y-%m-%d')
#remove symbols that won't have 5 years worth of data
for symbol in symbols:
try:
stock = Share(symbol)
plusMonth = fiveYearsAgo + relativedelta(days=30)
endDate2 = plusMonth.strftime('%Y-%m-%d')
stock.get_historical_data(startDate, endDate2)
except:
symbols.remove(symbol)
#print len(symbols)
#pick 40 random stocks to scrape for 5 years
#sample_size = 40
#sample_symbols = random.sample(symbols, sample_size)
#data to scrape
data = {
'Symbol': [],
'Date': [],
'Open': [],
'High': [],
