AMM Trading Simulation System

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A Python-based Automated Market Maker (AMM) trading simulation system providing the following features:

• User registration and authentication
• Token swapping based on constant product formula
• Advanced data visualization with real-time charts
• User asset management
• Transaction fee and slippage simulation
• Historical price and liquidity data

Features

• AMM Core Logic: Implementation of the constant product formula (x * y = k)
• Real-time Charts: Candlestick price charts and pool data visualizations
• Transaction Tracking: Complete history of all trades with fees and slippage
• User Management: Account creation and token balance tracking
• Educational Tool: Perfect for learning about DeFi and AMM concepts

Installation

1. Clone this repository

   git clone https://github.com/FogMoe/AMM.git
   cd AMM
   

2. Create and activate a virtual environment

   python -m venv .venv
   source .venv/bin/activate  # Linux/Mac
   # or
   .venv\Scripts\activate  # Windows
   

3. Install dependencies

   pip install -r requirements.txt
   

Usage

1. Run the application

   python app.py
   

2. Open your browser and navigate to http://localhost:5000

3. Register a new account (you'll receive 10 Token1 tokens automatically)

4. Explore the dashboard and start trading between Token1 and Token2

Technical Details

• Backend: Flask, SQLAlchemy, SQLite
• Frontend: Bootstrap 5, Plotly.js
• AMM Model: Uses the constant product model where token1_reserve * token2_reserve = k
• Data Visualization: Interactive charts for price history and pool liquidity
• Initial Pool Configuration: 10 Token1 and 1000 Token2

Screenshots

screenshots

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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

Repository

GitHub: https://github.com/FogMoe/AMM.git