TensorTrade

TensorTrade is an autonomous, multi-agent trading intelligence system designed to simulate the critical thinking and decision-making of professional market analysts, behavioral strategists, and social media editors all within a single AI-powered backend. Leveraging large language models (LLMs) through a structured pipeline, TensorTrade interprets complex synthetic market events, detects emotional trading patterns like FOMO and revenge trading, and generates stylized, real-time market commentary for platforms like X and LinkedIn. At its core, the system is composed of five modular agents: a Market Watcher that analyzes events using diverse LLM perspectives, a Behavior Monitor that flags risky user behavior, a Narrator that generates concise trading summaries, a Persona agent that formats social posts, and a Moderator that ensures all published content is compliant and value-driven. TensorTrade's backend is built using FastAPI and integrates seamlessly with OpenRouter’s free LLMs to simulate layered intelligence. It runs entirely on synthetic data, making it fast to deploy and ideal for high-fidelity MVPs. Designed to align with the Deriv AI Hackathon's most ambitious expectations, TensorTrade goes beyond a typical trading assistant it is a scalable, extensible framework that brings human-like market analysis, behavioral awareness, and content strategy into an intelligent, unified system.