Reddit Stocks Sentiments

Scrapes data from Reddit from selected subreddits and filters the top 30 penny stocks based on number of mentions. I then use Wit.AI to analyse the basic sentiments of the top 3 stocks to allow better understanding of the scrapped data.

These data are then displayed on a simple React website.

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Backend

Reddit API

• Retrieve your Reddit API here
• From above link, create an app at the bottom of the page
• Go to /backend directory
• Create a praw.ini file with:

[RedditSecrets]
client_id=<14 CHARACTER PERSONAL USE SCRIPT>
client_secret=<27 CHARACTER SECRET>
user_agent=<YOUR APP NAME>

Wit.AI API

• Go to Wit.AI and create an App
• After creating your App in Wit.AI, get your WIT_ACCESS_TOKEN from Settings (Server Access Token)
• You can simply initialise your Wit App and interact with it by:

client = Wit(WIT_ACCESS_TOKEN)
resp = client.message('hello')

• Follow this Wit.AI Quick Start Docs to train your Wit.AI app (The interface is really simple and no knowledge of coding is needed!)

To start backend

• Create new conda env conda create --n reddit_sentiments
• Activate newly created env with conda activate reddit_sentiments
• Go to backend directory with cd backend
• Install required modules using pip install -r requirements.txt
• Run python server.py
• You will be able to see your csv files results in backend/data directory

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Things to note:

• Always keep your API secrets (both Reddit and Wit.AI) secret
• How accurate/useful the sentiments analysis for the scrapped Reddit data depends on what how train your Wit.AI
• You can always change the subreddits scrapped in backend/config/config.ini.
• If you decide to target stocks other than penny stocks, remember to change the tickers in backend/config/tickers.json as well.
• You can directly access the csv files generated by the backend in backend/data

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Frontend

A simple react frontend that displays the csv results scrapped by backend, and the sentiments analysed by Wit.AI

To start frontend

• You should have your server running in a terminal following the previous steps on starting the backend
• Using a seperate terminal:

cd frontend
npm install
npm start

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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}

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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.

Next steps

• Visualise sentiments by Wit.AI on React as well
• Currently, only titles are passed to Wit.AI app for analysis. Perhaps including top comments can be favourable as well since I have found out that comments can be much more knowledgeable and useful than the title as some titles are meant to spark dicussions
• Rather than analysing the same titles that are scrapped from a general subreddit consisting of all penny stocks, can explore zooming in to individualised subreddit of the certain stock (for eg the top 3 mentioned stocks) for sentiment analysis