TradingClaw explores how agentic AI can make market signals more understandable by combining real-time information retrieval, user behavior modeling, and explainable outputs.
Highlights
- Engineered specialized LangGraph agents for real-time web search and personalized behavioral analysis.
- Bridged black-box predictions with actionable insights by adding explainable AI components.
- Built FastAPI microservices backed by PostgreSQL for high-frequency data streams, user state, and API cost tracking.
- Designed the system around practical decision support instead of opaque trading recommendations.