- Developing Trading Strategies (Group NLPQuartet)
- Sentiment Analysis (Group NLPQuartet)
- Takeaways from preprocessing financial news and tweets! (Group NLPQuartet)
- Research Overview (Group Snapshot)
- Machine Learning Model Training 2 (Group Nebula)
- Fed Watching - 2-year Treasuries Yield prediction utilizing FOMC & WSJ scraped data (Group Metatext)
- Sentiment Analysis and Metric Incorporation (Group Simplicity)
- Data Re-Cleaning (Group Nebula)
- Correlation Analysis (Group Simplicity)
- WSJ Scraping and Pre-processing (Group Metatext)
- Traning and Adjusting CNN Model (Group Stonks)
- Machine Learning Model Training (Group Nebula)
- Dataset for model training (Group Nebula)
- Hanna's Blog Post
- Data Preparation (Group Nebula)
- Preparing for news classification training (Group Stonks)
- Model- Explanation and problems (Group Snapshot)
- Twitter Scraping (Group Snapshot)
- Data Scraping (Group Nebula)
- The Beginnings - Data Planning, Sourcing and Scraping (Group NLPQuartet)
- Tokenize and cleaning news data (Group Stonks)
- Web-scraping of SEC EDGAR 10-K filings (Group Python at Large)
- Cleaning Data and Identifying Stock (Group Simplicity)
- Feature Engineering, Models and Results! (Group Semantic Analysts)
- Pre-Processing, Data Cleaning and EDA! (Group Semantic Analysts)
- Data Extraction, our Next Step! (Group Semantic Analysts)
- Pilot: Introduction to our Project (Group Semantic Analysts)
- Project Introduction and Step 1: Data Collecting and Storage (Group Simplicity)
- Demo Blog Post