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Welcome to FMZ Quant Trading Platform
Programming Languages
JavaScript
TypeScript
Python
C++
MyLanguage
PINE Language
Blockly Visual Programming
Workflow
Key Security
Live Trading
Strategy Library
Docker
Deploy Docker
One-Click Docker Rental
Manual Deployment of Bot
Docker Operation Precautions
Global IP Address Specification
Command Line Parameters for Bot Program
Live Trading Data Migration
Docker Monitor
Exchange
Strategy Editor
Backtesting System
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

On the Docker Deployment Page, click the One-Click Docker Rental tab and select the server to deploy based on your configuration requirements and server location preferences.

Click "Buy Now" and enter your FMZ Quant Trading Platform account credentials for verification. After successful verification, the docker program will be deployed automatically. The entire deployment process takes a few minutes, and the system will automatically install commonly used Python libraries.

After clicking "Buy Now", the rented server is provisioned through the platform on your behalf and has limited system permissions, with no support for remote login. If you need to use third-party Python libraries that are not pre-installed, it is recommended to use a private server for manual deployment.

Servers rented through the One-Click Docker Rental feature use independent billing, which is separate from live trading billing.

Clicking the "Redeploy" button will not delete the live trading logs and data files in the logs directory under the docker directory.