Reddit Stock Trends 📈

See trending stock tickers on Reddit and check Stock perfomance

Usage

Reddit API

Get your reddit API credentials from here
Follow this article to get your credentials.

Running Scripts

Go to src/ directory.
Create a praw.ini file 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.py first
Now run yfinance_analysis.py
You will be able to find your results in data/ directory.

Ticker Symbol API - EOD Historical Data

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}

Contribution

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.

To Do

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.

Donation

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.