Yang Lin
Swing Phi LLC Internship
A software engineering internship focused on developing AI-powered political trading analysis systems and congressional financial disclosure monitoring tools.
Overview
During my internship at Swing Phi LLC, I worked on developing sophisticated analysis tools for monitoring political trading activities and market movements. The project involved creating AI-powered systems to analyze social media sentiment, track SEC form submissions, and identify correlations between political events and market trends.
Phase 1: Political Trading Analysis System (PTAS)
Developed a system to analyze trading patterns of political figures, focusing on:
- Research on senators' and governors' investment actions
- Analysis of trading strategies and patterns
- Investigation of correlations between political actions and stock performance
- Implementation of real-time alerts system
Case Study: Bill Ackman's Market Influence
Analysis of significant market movements triggered by social media posts:
HHH (Home Construction ETF) Impact
Bill Ackman's social media posts about interest rates and housing market predictions significantly influenced the HHH ETF. His commentary on Federal Reserve policy and housing market stability created notable market movements.
FNMA (Fannie Mae) Analysis
Tracked the market response to Ackman's positions and commentary on Fannie Mae, demonstrating how influential figures can impact market sentiment and trading patterns in government-sponsored enterprises.
Social Media Sentiment Impact
Analyzed the correlation between Ackman's social media posts and market movements, demonstrating the immediate and lasting effects of influential market commentary.
Phase 2: Congressional Financial Data Integration
Developed a comprehensive monitoring system integrating multiple data sources:
- House Stock Watcher website data extraction and analysis
- Senate Financial Disclosures Database integration
- House Financial Disclosure Portal monitoring
- Office of Government Ethics (OGE) data tracking
- Periodic Transaction Reports (PTRs) processing
- US Senate Lobby Disclosure API integration
Data Integration Architecture
Comprehensive data flow from multiple sources:
- Automated data collection from multiple government portals
- Real-time monitoring of financial disclosure updates
- Cross-referencing between different disclosure sources
- Unified data processing pipeline
Phase 3: Social Media Sentiment Analysis
Implemented AI-powered sentiment analysis for social media and news:
- Integration with News API for real-time news monitoring
- Implementation of X/Twitter API for social sentiment analysis
- Correlation analysis between public sentiment and market movements
- Development of comprehensive analysis reports
Output Format
Comprehensive analysis table including:
- Names of senators/cabinet members/politicians
- Timing of financial disclosures and lobby reports
- Details of filed bills and actions
- Market impact analysis
- Social media sentiment metrics