Joshua Fields — Software Engineer & Creative Technologist

Stock Sentiment Analyzer

Independent · Full-Stack Developer

Stock Sentiment Analyzer: Reddit-based Live Sentiment Dashboard

This project is a fully automated Reddit sentiment tracking pipeline built using Python, Streamlit, and Supabase. It scrapes trending posts from r/stocks and r/wallstreetbets, extracts stock tickers, analyzes sentiment using VADER NLP, and visualizes it all in a beautiful dashboard.

Key Features:

Automated hourly data ingestion via GitHub Actions
VADER sentiment analysis to score Reddit post tone
PostgreSQL database hosted on Supabase with pooled connection
Streamlit frontend for real-time filtering, word cloud, and insights
Supports sentiment filtering by ticker, date range, and weighting

Back-End Architecture:

main.py and scraper.py use PRAW to collect Reddit posts and detect tickers
analyzer.py calculates raw and weighted sentiment using VADER
ingest.py and db.py insert sentiment data into Supabase securely
update_sentiment.py is executed hourly via GitHub Actions

Deployment Highlights:

Uses Supabase's transaction pooler for database access
Secrets stored via GitHub and Streamlit Cloud securely
Zero manual refresh needed — pipeline self-updates every hour

Impact: This tool provides real-time insights into market hype based on Reddit posts, ideal for hobby traders, data scientists, and fintech dashboards.