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Welcome to FMZ Quant Trading Platform
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C++ Strategy Writing Guide
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Built-in Libraries
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Data Explorer
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General Protocol
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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

The datadata platform, independently developed by FMZ Quant, is a quantitative financial data platform. The Data Explorer module of FMZ Quant Trading Platform has integrated the services and functions of the datadata platform.

FMZ Quant users can use it out of the box without registering a separate datadata account. This gives users advantages in multi-dimensional data analysis, mining, data visualization, and trading strategy exploration. Analyze massive data through SQL queries, configure via visual interface to generate various charts suitable for data analysis and share with your team, helping you easily grasp market dynamics and precisely capture investment opportunities! For usage examples, please refer to: Data Explorer Module Topic Articles.

Data sources provided by the DataData platform are continuously updated in real-time, offering multi-dimensional and multi-type data support. Private data can be used as data sources, with support for uploading CSV format files, and data preview is available on the "Data Explorer" page.

Supports data querying using SQL statements with configurable query parameters. Supports the following data export formats: CSV files, JSON files.

To save the current data exploration research content, please click the "Save" button in the upper right corner to save this SQL query record to the resource list of "Data Exploration" in the current FMZ account (the resource list button is located to the left of the save button).

In addition to displaying data in tabular format, the analyzed and queried data can be adapted to various visualization components to present data in a richer and more dynamic way.

Supports sharing data exploration research results with multiple sharing formats: public links, embed codes (e.g., embedding in FMZ platform community posts), webpage embedding, data links, and preview image links. Research results from the data exploration module can not only be used for display but also provide data directly to strategies through created "data links", supporting both live trading and backtesting environments.