TrendSage aims to develop a correlation between stock and cryptocurrency predictions based on the posts or comments on Reddit and the actual market trends.

A high frequency trading module based on how often stock symbols appear in reddit comments

A sentiment-driven trading algorithm using deep learning to analyze social media sentiment from StockTwits, Twitter, and Reddit for stock market predictions. Built with Python, TensorFlow/Keras, and MySQL.

Scraping Reddit's top trading subreddits for the next red-hot stock

A Simple Scraper leveraging tons of API's to scrape over 1.7k stocks & sentimental content from twitter, reddit & All major finance news Websites. This tool can be integrated to provide for an easy way to start AI sentimental analysis for stock trading.

Python Finance course (https://pythonprogramming.net/getting-stock-prices-python-programming-for-finance, https://www.reddit.com/r/algotrading/comments/5selh0/python_for_algorithmic_trading_and_investing/)

📊🧠 A sophisticated AI-powered trading companion that analyzes Reddit sentiment to predict stock market movements. Combines social media buzz, technical indicators, and machine learning to generate intelligent trading insights with real-time data processing.

Reddit Stock Trading Application

A model that analyzes sentiments of r/wallstreetbets posts to inform trading decisions.

A real-time stock sentiment analysis tool that fetches Reddit posts about stocks, analyzes sentiment using a custom Transformer model, and provides actionable trading recommendations.

This project predicts stock price movements by combining sentiment analysis of Reddit discussions with historical stock data. Using an LSTM model, it analyzes public sentiment around stocks like AAPL and integrates it with market data to forecast price trends, providing insights for trading and investment decisions. https://www.reddit.com/

This program fetches the latest Reddit posts from r/wallstreetbets, filters them by a specific stock, and analyzes their sentiment using VADER. Based on the sentiment analysis, it makes real-time trading decisions to buy the stock using Lumibot and compares it against the SPY.

This program fetches latest Reddit posts from r/wallstreetbets, filters them by a specific stock, and analyzes their sentiment using VADER. It then makes hypothetical trading decisions, and prints the results in a Data Frame.

R package for analyzing stock trading discussions on Reddit

Near real-time visualization of stock market reddit chatter volume and trading movement

A website for analyzing stock sentiment to support trading decisions by linking reddit trends with price movements.

Analyzed the text of all Reddit/WallStreetBets posts over an 8 month period and generated above-baseline stock trading returns based solely on the sentiment of the Reddit community

1. Scraping Reddit for Stock Predictions In the world of stock trading, every bit of information can be a valuable asset. You’ve decided to tap into one of the most vibrant sources of real-time insights: Reddit.

Scraped stock sentiment data from reddit and trained an LTSM to classify sentiment, backtested a trading strategy based on this sentiment analysis.

Algorithmic trading strategy combining Reddit sentiment analysis and machine learning (Decision Tree Classifiers, XGBoost) to predict Pfizer stock movements and backtest performance.

Social media platforms, particularly Reddit, have emerged as valuable sources of market sentiment and trading insights. This research focuses on utilizing Reddit posts from popular investment-focused subreddits to predict AAPL stock price movements.

Reddit_Stock_Bot is a script that scans specific subreddits for people doing due diligence on stocks, looking for insider trading, compelling stories, or stocks that may provide increased growth.

Real-time stock sentiment analysis with VADER + pump detection. Scans Reddit for mentions, combines with price data to identify buy opportunities. Color-coded signals (green/yellow/red) for smart trading decisions.

This project explores algorithmic stock trading using machine learning and natural language processing (NLP) to predict the Dow Jones Industrial Average (DJIA). Leveraging an eight-year dataset from Kaggle, which includes historical stock prices and sentiment from top Reddit news, we implemented regression algorithms and time series forecasting mod

Collaborative project with Petr Cala for IES Course Data Processing in Python. We scrape mentions of stock tickers on selected subreddits using Reddit API, and daily trading volume of featured stocks from Yahoo finance. We determine the relationship between frequency of reddit mentions of stocks, and their actual traded volume in upcoming days.

Scalps website data from https://stocks.comment.ai/trending.html and displays the fastest growing stocks in terms of sentiment. WSB (Wall Street Bets) is a stock trading forum on reddit with 10 million users that discusses "meme" stocks.

This interactive Power BI dashboard analyzes Reddit's stock performance over a selected date range. It highlights key metrics like maximum opening/closing prices, trading volume, and price trends using line charts, bar visuals, and slicers. The project enables users to explore historical stock behavior and gain insights into market activity pattern

Try out a demo of the meme stock trading game. DISCLAIMER: This game is based on the speculative investment community on Reddit social media - r\WallStreetBets. The setting and the narrative in this short game is satirical, please take it with a grain of salt.