def get_stock_data(
tickers=get_sp500_tickers(), path='pinance_data/{}.pickle',
update=False):
for symbol in tickers:
if update:
print("Reading data for ticker " + symbol['ticker'])
stock = Pinance(symbol['ticker'])
stock.get_quotes()
stock.get_news()
stock_data = stock.quotes_data
stock_news = stock.news_data
data = {
'ticker': symbol['ticker'],
'data': stock_data,
'news': stock_news
}
write_to_pickle(data, path.format(symbol['ticker']))
else:
with open(path.format(symbol['ticker']), 'rb') as handle:
data = pickle.load(handle)
yield data
from pinance import Pinance
import pandas as pd
stock1 = 'HDFC'
stock2 = 'HDFC.NS'
first = Pinance(stock1)
second = Pinance(stock2)
first.get_quotes()
second.get_quotes()
second.get_news()
df1 = pd.DataFrame(data=first.quotes_data, index=[0])
df2 = pd.DataFrame(data=second.quotes_data, index=[0])
df1 = (df1.T)
df2 = (df2.T)
df1.to_excel("DataQuality\hdfc.xls")
df2.to_excel("DataQuality\hdfcNS.xls")
df3 = pd.DataFrame(data=second.news_data, index=[0])
df3 = (df3.T)
df3.to_excel(r"DataQuality\news.xls")
