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
Backtest System Parameter Optimization
The FMZ Quant Trading Platform backtest system parameter optimization feature allows you to set parameter combinations based on optimization options for each parameter during backtesting. On the "Simulation Backtest" page in the strategy parameters section, check the Optimization option on the right side of the strategy parameter to display optimization settings.
- Minimum Value: Set the starting value of the parameter.
- Maximum Value: Set the maximum value after the parameter increments.
- Step Size: The increment amount for parameter changes.
- Concurrent Threads:
When optimizing parameters, set the number of threads for concurrent execution of each backtest parameter combination. This option only supports parameter optimization forJavaScript,PINE, andMyLanguagestrategies, and does not support template parameter optimization.
The system generates parameter combinations based on Minimum Value, Maximum Value, and Step Size settings, and iterates through these parameter combinations for backtesting (i.e., executes one backtest for each parameter combination). Only strategy parameters of type number can be configured for parameter optimization in the backtest system.