Welcome to FMZ Quant Trading Platform
Programming Languages
Key Security
Live Trading
Strategy Library
Docker
Exchange
Strategy Editor
Backtesting System
Backtesting System Modes
Impact of Backtest Data Granularity on Backtesting
Backtesting System Supports Multiple Programming Languages
Exchanges Supported by Backtesting System
Backtest System Parameter Optimization
Save Backtest Settings
Custom Data Source
Local Backtesting Engine
Backtest Page Shortcuts
Backtest Data Download
Backtest System Sharpe Ratio Algorithm
Strategy Entry Functions
Strategy Framework and API Functions
Template Library
Strategy Parameters
Interactive Controls
Options Trading
C++ Strategy Writing Guide
JavaScript Strategy Writing Guide
Web3
Built-in Libraries
Extended API Interface
MCP Service
Trading Terminal
Data Explorer
Alpha Factor Analysis Tool
General Protocol
Debugging Tool
Remote Editing
Import and Export of Complete Strategies
Multi-language Support
Live Trading and Strategy Grouping
Live Trading Display
Strategy Sharing and Renting
Live Trading Message Push
Common Causes of Live Trading Errors and Abnormal Exits
Exchange-Specific Notes
C++
The platform supports C++ programming language, compatible with C++ 11 standard. C++ strategies need to be pre-compiled before execution. In the backtesting system, C++ strategies run on dedicated C++ backtesting servers; in live trading environments, C++ strategies run on the docker after compilation.
Leveraging the C++ programming language and C++ 11 standard, you can develop high-performance trading strategies on the FMZ Quant Trading Platform. Using modern C++ features, you can build flexible and scalable trading algorithms to implement automated trading.
The following C++ libraries are integrated: