sstklen/trump-code
📦 Open Source Projectsstklen
An open-source AI framework that decodes political social media posts to predict stock market movements.
The trump-code repository represents a sophisticated approach to sentiment analysis and predictive modeling within the financial domain. At its core, the project leverages a massive scale of 31.5 million distinct models to process unstructured social media data, specifically focusing on political commentary and its subsequent impact on market volatility. The architecture employs brute-force optimization and signal analysis to identify patterns that traditional sentiment analysis might overlook. By integrating with open-data sources and prediction markets like Polymarket, the framework provides a pipeline for users to ingest, process, and interpret the potential market-moving signals hidden within high-frequency political discourse. It is built primarily in Python, emphasizing modularity and accessibility for researchers interested in the intersection of behavioral finance, natural language processing, and algorithmic trading.
💡Highlights
- ├─31.5M model ensemble architecture
- ├─61.3% predictive hit rate
- └─Real-time signal analysis pipeline
🎯For
- ├─Quantitative researchers
- ├─Financial analysts
- └─AI developers