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

Analyze reddit financial data and display it on web app.
https://github.com/asad70/reddit-analysis

algotrading data-science data-visualization reddit sentiment-analysis stock-market stocks trading trading-strategies vader-sentiment-analysis wallst wallstreetbets

Last synced: 8 months ago
JSON representation

Analyze reddit financial data and display it on web app.

• Host: GitHub
• URL: https://github.com/asad70/reddit-analysis
• Owner: asad70
• License: mit
• Created: 2021-10-04T00:00:33.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2022-08-16T16:47:29.000Z (about 3 years ago)
• Last Synced: 2025-01-09T03:39:31.610Z (9 months ago)
• Topics: algotrading, data-science, data-visualization, reddit, sentiment-analysis, stock-market, stocks, trading, trading-strategies, vader-sentiment-analysis, wallst, wallstreetbets
• Language: HTML
• Homepage: http://wsb-reddit.herokuapp.com/reddit-index
• Size: 5.86 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# reddit-sentiment-analysis

This program goes thru 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



## Sample Output

It took 216.65 seconds to analyze 5862 comments in 80 posts in 4 subreddits.

Posts analyzed saved in titles

10 most mentioned picks:\

GME: 197\

BB: 72\

FB: 56\

PLTR: 36\

TSLA: 25\

PLUG: 17\

RC: 15\

NIO: 14\

SPCE: 10\

TLRY: 10

        Bearish   Neutral   Bullish   Total/Compound\

GME      0.087     0.763       0.150                0.161\

BB       0.058     0.768       0.175                0.261\

FB       0.119     0.708       0.173                0.127\

PLTR     0.062     0.804       0.134                0.235\

TSLA     0.124     0.690       0.187                0.195\

![](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\

Limitations:

It depends mainly on the defined parameters for current implementation:

It completely ignores the heavily downvoted comments, and there can be a time when

the most mentioned ticker is heavily downvoted, but you can change that in upvotes variable.

## Acknowledgement:

[Danksta](https://github.com/Danksta) initial work and setup.