Analyzing r/WallStreetBets discussions to predict tech stock movements using advanced NLP and time series forecasting
Bridging social media sentiment with stock market predictions
Scraping real-time discussions from r/WallStreetBets using RedditExtractoR to capture retail investor sentiment
Custom finance lexicons with WSB-specific terms like "moon," "tendies," and "bullish" for accurate sentiment scoring
ARIMA time series forecasting to predict stock price movements and correlate with sentiment trends
Does investor sentiment on WallStreetBets influence long-term stock prices?
10 leading technology companies under the microscope
AFFIN & JOCKER lexicons enhanced with 45+ WSB-specific financial terms
ARIMA models with automatic parameter selection and Box-Cox transformation
Tracking puts vs calls mentions to gauge market sentiment direction
Continuous scraping from Reddit and Yahoo Finance APIs
Most discussions showed balanced sentiment, indicating equal buyer-seller influence across the board
Clear correlation observed between sentiment scores and stock price trends over time
ARIMA models outperformed other forecasting methods for 9 out of 10 stocks analyzed
Drift model proved more accurate for UBER, suggesting different market dynamics
Dive into the code, check out the analysis, or contribute to the project