See trending stock tickers on Reddit and check Stock perfomance
- Go to
src/directory. - Create a
praw.inifile with the following
[ClientSecrets]
client_id=<your client id>
client_secret=<your client secret>
user_agent=<your user agent>
Note that the title of this section, ClientSecrets, is important because ticker_counts.py will specifically look for that title in the praw.ini file.
- Install required modules using
pip install -r requirements.txt - Run
ticker_count.pyfirst - Now run
yfinance_analysis.py - You will be able to find your results in
data/directory.
Included for potential future use is a csv file that contains all the listed ticker symbols for stocks, ETFs, and mutual funds (~50,000 tickers). This was retrieved from https://eodhistoricaldata.com/. You can register for a free api key and get up to 20 api calls every 24 hours.
To retrieve a csv of all USA ticker symbols, use the following:
https://eodhistoricaldata.com/api/exchange-symbol-list/US?api_token={YOUR_API_KEY}
I would love to see more work done on this, I think this could be something very useful at some point. All contributions are welcome. Go ahead and open a PR.
- Join the Discord to discuss development and suggestions.
- Turn it into python executable rather than notebook
- Turn this into a local module that can be used in notebooks/python scripts
- Scrape catalysts from DDs
- Add visualisations
- Add time series to figure out at what time did stock trend and what time did posts/comments on reddit spike
- Scrape comments as well
- NLP implementation for SA
- Create a scoring model that takes into account upvotes/comments/awards and mentions
Suggestions are appreciated.
If you like what I am doing, consider buying me a coffee this helps me give more time to this project and improve.
If you decide to use this anywhere please give a credit to @abbasmdj on twitter, also If you like my work, check out other projects on my Github and my personal blog.