LLM-Powered Multi-Agent Trading System

This professional trading system demonstrates sophisticated multi-agent coordination for algorithmic trading:

Core Components:

  • Fundamental Analysis Agent: Uses OpenAI LLM for real market analysis and trading insights
  • Technical Analysis Agent: Employs transformer neural networks for price pattern recognition
  • Sentiment Analysis Agent: Leverages FinBERT for financial sentiment analysis with real news data
  • Risk Management Agent: Monitors portfolio risk metrics and provides risk-adjusted recommendations
  • DQN Coordinator: Deep Q-Network that learns optimal trading strategies from agent signals

Key Features:

  • Real LLM integration for genuine fundamental analysis reasoning
  • Advanced neural network models for pattern recognition
  • Comprehensive risk management framework with Kelly Criterion
  • Reinforcement learning for strategy optimization
  • Professional-grade backtesting and performance analytics

Author: Spencer Purdy

Simulation Parameters

0.01 0.05
100 500

API Keys (Optional)

Recent Trading Activity (Last 20 Trades)

Example Configurations
Initial Capital ($) Market Volatility Trading Days OpenAI API Key News API Key

Note: This system uses sophisticated machine learning models including real LLM integration for fundamental analysis. For best results, provide an OpenAI API key for genuine LLM reasoning and a News API key for real news sentiment analysis. The simulation may take a few moments to initialize and run. All trading decisions are for demonstration purposes only and should not be used for actual trading without proper validation and risk assessment.

API Key Information: