Code Global Strategies with Natural Language
A professional quantitative simulation and backtesting platform across CN/HK/US/MY markets. Build strategies in Python or indicator-style syntax (MyTT/funcat), with AI-assisted code drafting to accelerate research.
Key Features
Global Market Backtesting
Microsecond-level historical data backtesting across China A-shares, Hong Kong, US, and Malaysia markets.
Seamless Syntax Pool
Full support for Python, MyTT (TongDaXin indicators), and funcat (TongHuaShun syntax) frameworks.
AI Strategy Compiler
Describe your trading idea in natural language — AI generates rigorous Python strategy code instantly.
Multi-Market Coverage
Unified platform covering CN, HK, US, and MY stock markets with real-time simulation.
Risk Analysis
Comprehensive risk metrics, drawdown analysis, and portfolio optimization tools.
Developer API
RESTful APIs and Python SDK for programmatic strategy deployment and data access.
Who It's For
Quantitative researchers, algorithmic traders, and financial professionals
Frequently Asked Questions
What markets does the Quant Trading Simulator support? +
MDL Asia Quant Trading Simulator supports China A-shares, Hong Kong stocks, US stocks, and Malaysia stocks with microsecond-level historical data for backtesting and strategy validation.
What programming languages are supported? +
The platform supports Python for strategy development, MyTT (TongDaXin indicator syntax), and funcat (TongHuaShun syntax). It also features an AI Strategy Compiler that converts natural language trading ideas into Python code.
Is this a real-money trading platform? +
No. MDL Asia Quant Trading Simulator is designed exclusively for simulation and educational purposes. It does not involve real money trading and does not constitute financial advice.
How can I get API access? +
We provide RESTful APIs and a Python SDK for programmatic strategy deployment and data access. Contact [email protected] for API access details and enterprise plans.
⚠️ For simulation and educational purposes only. Not financial advice. Past performance does not guarantee future results.