https://github.com/asad70/reddit-sentiment-analysis

This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.
https://github.com/asad70/reddit-sentiment-analysis

algotrading data-science data-science-projects data-visualization mentioned-tickers reddit reddit-sentiment-analysis sentiment sentiment-analysis stocks ticker-compound trading vader vader-sentiment-analysis vader-sentimentintensityanalyzer wallstreetbets

Last synced: 7 days ago
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This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

• Host: GitHub
• URL: https://github.com/asad70/reddit-sentiment-analysis
• Owner: asad70
• License: mit
• Created: 2021-01-17T20:34:07.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2023-03-28T17:13:52.000Z (almost 2 years ago)
• Last Synced: 2025-01-07T23:11:07.969Z (14 days ago)
• Topics: algotrading, data-science, data-science-projects, data-visualization, mentioned-tickers, reddit, reddit-sentiment-analysis, sentiment, sentiment-analysis, stocks, ticker-compound, trading, vader, vader-sentiment-analysis, vader-sentimentintensityanalyzer, wallstreetbets
• Language: Python
• Homepage:
• Size: 110 KB
• Stars: 254
• Watchers: 9
• Forks: 88
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# reddit-sentiment-analysis

This program goes through reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.  

## Program Parameters


subs = []           sub-reddit to search

post_flairs = {}    posts flairs to search || None flair is automatically considered

goodAuth = {}       authors whom comments are allowed more than once

uniqueCmt = True    allow one comment per author per symbol

ignoreAuthP = {}    authors to ignore for posts

ignoreAuthC = {}    authors to ignore for comment 

upvoteRatio = float upvote ratio for post to be considered, 0.70 = 70%

ups = int           define # of upvotes, post is considered if upvotes exceed this #

limit = int         define the limit, comments 'replace more' limit

upvotes = int       define # of upvotes, comment is considered if upvotes exceed this #

picks = int         define # of picks here, prints as "Top ## picks are:"

picks_ayz = int     define # of picks for sentiment analysis



# How to run:

    

    pip install -r requirements.txt

    python3 reddit-sentiment-analysis.py

    

    

## Sample Output

It took 1574.61 seconds to analyze 14236 comments in 8 posts in 1 subreddits.

Posts analyzed saved in titles

10 most mentioned picks:\

GME: 764\

SPCE: 183\

PLTR: 89\

TSLA: 71\

MVIS: 42\

NVDA: 34\

AMD: 30\

F: 29\

TLRY: 29\

AAPL: 26

Sentiment analysis of top 5 picks:\

              Bearish  Neutral  Bullish  Total/Compound\

GME     0.087    0.707     1.548             0.030\

SPCE    0.119    0.645     1.618             0.027\

PLTR    0.073    0.649     1.751             0.032\

TSLA    0.088    0.650     1.543             0.049\

MVIS    0.155    0.698     1.714            -0.020

![](mentioned.png)

![](sentiment.png)

## Data:

Includes US stocks with market cap > 100 Million, and price above $3. It doesn't include penny stocks.\

You can download data from here:\

Source (US stocks):  https://www.nasdaq.com/market-activity/stocks/screener?exchange=nasdaq&letter=0&render=download\

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.