A set of tools for dealing with SEC EDGAR corporate filings
Streams new SEC Filings in real-time using Phoenix LiveView
Exploring Causal Inferences in Finance with Graph Neural Networks
This project predicts corporate default probability using sentiment analysis of annual reports and financial data from U.S. companies. Key steps included data preprocessing, textual analysis, feature selection, and testing machine learning models. A Random Forest classifier was identified as the best model, trained, optimized, and exported for use.
Stock market news API, developed by traders and investors for traders and investors.
Scrapes ticker info from various sites
Tournament game for terminal in C++ (final project for university CS1 course)
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