Scrape financial News from Yahoo and analyse the sentiment (PoC)
With stocknews
, you can scrape news data from the Yahoo Financial RSS Feed and store them with the sentiment of the headline and the summary.
Depending on the initialization 1 or 2 files are output as csv. No. 1 is the scraped news (optional) and no. 2 is the summary, having the summarized sentiment of news for the given date (see options) and the values.
To install the package, run pip install stocknews
In order to use stocknews
to scrape news data and prepare them for your model you simply need this:
from stocknews import StockNews
...
stocks = ['AAPL', 'MSFT', 'NFLX']
sn = StockNews(stocks, wt_key='MY_WORLD_TRADING_DATA_KEY')
df = sn.summarize()
...
This returns a pandas DataFrame and saves it to data/data.csv
by default (see options)
stocks
: A list of stocks to check. See http://eoddata.com/symbols.aspx for all symbols availablenews_file='news.csv'
: filename of the saved newssummary_file='data.csv'
: filename of the saved dataset, including sentiment and value per day and stocksave_news=True
: save the news file or scrape and analyse on the fly for recent newsclosing_hour=20
: Close of the exchange (NASDAQ in this case). News after closing will be taken for next trading day (skips the weekend as well)closing_minute=0
: Same asclosing_hour
wt_key=None
: Your worldtradingdata.com API Key. Get one here. Not needed ifread_rss
is called directly.
pandas
https://pypi.org/project/pandas/feedparser
https://pypi.org/project/feedparser/nltk
https://pypi.org/project/nltk/requests
https://pypi.org/project/requests/numpy
https://pypi.org/project/numpy/
python setup.py test
- Make multi request to worldtradingdata.com API
- add more news sources
- add more tests
- Fixed another pathing issue...
- removed the
exit()
rolleyes
- path issues fixed. For real now...
- fixed some path issues
- tried to fix too many requests, added a counter for made requests to keep track
- Suppress ntlk download messages
- renamed
test.py
- "Initial Release"
- Testing