Autonomous multi-agent trading simulation that replicates a buy-side trading floor. Built with Claude, LangGraph, and Flowise/MCP to enable persistent, privacy-aware agentic workflows.

Built a fully autonomous AI trading floor where 4 LLM-powered agents independently research, analyze, and execute stock trades in real-time — each with a unique investment personality inspired by legendary investors.

Multi-agent AI trading simulation using OpenAI Agents SDK and MCP

AI-powered multi-agent trading simulation with autonomous decision-making, supporting long/short positions using OpenAI Agent SDK and MCP architecture

A multi-agent AI trading simulation using the Model Context Protocol (MCP). Watch AI traders with different strategies compete in a real-time stock market simulation with live Gradio dashboard.

A multi-LLM trading simulation platform where four autonomous agents analyze real-time market data and make coordinated trading decisions. Built with MCP for seamless tool integration and data-driven experimentation in a realistic trading environment.

A multi-agent AI trading simulation where 4 autonomous traders execute strategy-driven decisions using Groq LLMs, powered by 6 MCP servers and 44 tools. Features real-time portfolio tracking, logging, and an interactive dashboard.