コード例 #1
0
 def _prices(cls, local_dir, ticker,dud) :
     filename = '{}/{}.pkl'.format(local_dir,ticker)
     reader =  EXTRACT.instance().reader
     prices = reader.extract_from_yahoo(ticker)
     if prices is None :
        dud.append(ticker)
        return dud
     STOCK_TIMESERIES.save(filename, ticker, prices)
     return dud
コード例 #2
0
ファイル: libBackground.py プロジェクト: ajmal017/stock-study
 def save(cls, local_dir, ticker, dud=None):
     if dud is None:
         dud = []
     data = cls.read(ticker)
     if data is None:
         dud.append(ticker)
         return dud
     filename = '{}/{}.pkl'.format(local_dir, ticker)
     STOCK_TIMESERIES.save(filename, ticker, data)
     return dud
コード例 #3
0
 def save(cls, local_dir, ticker, dud):
     filename = '{}/{}.pkl'.format(local_dir, ticker)
     if cls.reader is None:
         cls.reader = STOCK_TIMESERIES.init()
     prices = cls.reader.extract_from_yahoo(ticker)
     if prices is None:
         dud.append(ticker)
         return dud
     STOCK_TIMESERIES.save(filename, ticker, prices)
     return dud
コード例 #4
0
 def _prices(cls, wait_on_failure, local_dir, ticker, dud):
     if dud is None:
         dud = []
     filename = '{}/{}.pkl'.format(local_dir, ticker)
     reader = STOCK_TIMESERIES.init()
     prices = reader.extract_from_yahoo(ticker)
     if prices is None:
         dud.append(ticker)
         time.sleep(wait_on_failure)
         return dud
     STOCK_TIMESERIES.save(filename, ticker, prices)
     del prices
     return dud
コード例 #5
0
def main(local, *stock_list):
    logging.info(stock_list)
    reader = STOCK_TIMESERIES.init()

    for stock in stock_list:
        filename = '{}/historical_prices/{}.pkl'.format(local, stock)
        ret = reader.extract_from_yahoo(stock)
        logging.debug(ret.tail(5))
        STOCK_TIMESERIES.save(filename, stock, ret)

    if len(stock_list) > 0: return

    nasdaq = NASDAQ.init()

    for stock in nasdaq():
        filename = '{}/historical_prices/{}.pkl'.format(local, stock)
        ret = reader.extract_from_yahoo(stock)
        STOCK_TIMESERIES.save(filename, stock, ret)