TradeSim AI is a modern Next.js application that integrates with Interactive Brokers to run AI-assisted trading simulations. The platform enables sophisticated trading strategy development, testing, and optimization through artificial intelligence.

• Beautiful Modern UI: Intuitive dashboard and visualization tools
• Interactive Brokers Integration: Seamless connection to IB accounts
• AI-Powered Simulations: Run trading simulations with AI assistance
• Paper Trading Focus: Test strategies without financial risk
• Strategy Optimization: AI analyzes and improves trading algorithms
• Real Account Application: Apply proven strategies to managed accounts
• Performance Analytics: Comprehensive reporting and insights
• Local LLM Support: Run AI models locally using Vercel AI SDK and LMStudio

TradeSim AI bridges the gap between algorithmic trading and artificial intelligence, allowing users to:

1. Develop Trading Strategies: Create and customize trading algorithms
2. Run Simulations: Test strategies on historical and real-time market data
3. Leverage AI Analysis: Utilize AI to optimize trading parameters
4. Review Performance: Analyze detailed metrics and visualizations
5. Implement Strategies: Apply vetted strategies to real trading accounts

The platform primarily focuses on paper trading accounts for risk-free simulation, with AI crews studying and optimizing strategies over time. The best-performing strategies can then be recommended for implementation on managed accounts.

• Frontend: Next.js, React, TypeScript
• Styling: Tailwind CSS
• State Management: Redux Toolkit
• Data Visualization: D3.js, TradingView Charts
• API Integration: Interactive Brokers Client Portal API
• AI Components:
  • OpenAI API for cloud-based analysis
  • Vercel AI SDK for LLM integration
  • Local models via LMStudio (privacy-focused option)
  • TensorFlow.js for browser-based models
• Authentication: NextAuth.js
• Database: PostgreSQL
• Deployment: Vercel

• Node.js 18.x or later
• npm or yarn
• Interactive Brokers account (paper trading account for development)
• API credentials for Interactive Brokers
• (Optional) LMStudio for local LLM capabilities

1. Clone the repository:

   git clone https://github.com/yourusername/tradesim-ai.git
   cd tradesim-ai

2. Install dependencies:

   npm install
   # or
   yarn install

3. Set up environment variables:

   cp .env.example .env.local

   Fill in the required environment variables in .env.local

4. Run the development server:

   npm run dev
   # or
   yarn dev

5. Open http://localhost:3000 in your browser

Detailed documentation is available in the docs directory:

• Architecture Overview
• Interactive Brokers Integration
• AI Components
• Local LLM Integration
• Setting Up Paper Trading
• Developing Trading Strategies
• Running Simulations
• Production Deployment

Run the test suite:

npm test
# or
yarn test

Contributions are welcome! Please read the contributing guidelines first.

This project is licensed under the MIT License - see the LICENSE file for details.

• Interactive Brokers API Documentation
• Next.js Documentation
• Vercel AI SDK Documentation
• LMStudio Documentation