It also possible to use Quandl.com resources. Their WIKI database contains 3339 major stocks and can be fetched via secwiki_tickers.csv file. For a plain file portfolio.lst storing the list of your tickers (stocks in US markets), e.g.:
AAPL
IBM
JNJ
MSFT
TXN
you can scan the .csv file for the name, e.g:
import pandas as pd
df = pd.read_csv('secwiki_tickers.csv')
dp = pd.read_csv('portfolio.lst',names=['pTicker'])
pTickers = dp.pTicker.values # converts into a list
tmpTickers = []
for i in range(len(pTickers)):
test = df[df.Ticker==pTickers[i]]
if not (test.empty):
print("%-10s%s" % (pTickers[i], list(test.Name.values)[0]))
what returns:
AAPL Apple Inc.
IBM International Business Machines Corporation
JNJ Johnson & Johnson
MSFT Microsoft Corporation
TXN Texas Instruments Inc.
It is possible to combine more stocks from other Quandl's resources. See the documentation online.
