FalseMarket is a full-stack AI-powered market simulation platform that combines agent-based modeling with evolutionary strategy optimization.

• Configurable supply & demand mechanics
• Agent-based architecture
• Real-time execution engine
• Backtesting and replay support

• Population-based strategy evolution
• Mutation & selection controls
• Fitness-driven optimization
• Multi-generation simulations

• Live dashboards
• Performance tracking
• Fitness curves
• Strategy comparison tools

ApexMarket/ ├─ backend/ # API + simulation engine ├─ evolution/ # Evolutionary logic ├─ frontend/ # UI dashboard ├─ strategies/ # Agent strategies ├─ tests/ └─ README.md

Tech Stack: - Node.js + Express - Python evolutionary engine - React frontend - WebSockets for real-time updates

Clone the repository:

git clone https://github.com/yourusername/apexmarket.git\ cd apexmarket

Backend:

cd backend
npm install

Frontend:

cd frontend
npm install

Evolution Engine:

cd evolution
pip install -r requirements.txt

Start backend:

cd backend
npm start

Start frontend:

cd frontend
npm run dev

Run evolution:

cd evolution
python run_evolution.py --config configs/basic.json

Open http://localhost:3000

1. Configure market parameters\
2. Add strategy modules\
3. Launch simulation\
4. Run evolutionary optimization\
5. Analyze performance

Agents are evaluated on: - Profitability - Risk-adjusted return - Stability - Adaptability

• Plugin marketplace
• Multi-user collaboration
• Real market data integration
• Strategy benchmarking leaderboard

1. Fork the repo\
2. Create a feature branch\
3. Add tests and documentation\
4. Submit a pull request

MIT License