The FMZ Quant self-developed datadata platform is a quantitative financial data platform, FMZ Quant Trading Platform Data Exploration module has been integrated with the services, functions of datadata platform. The FMZ Quant users don’t need to register for a datadata account again, just use it directly. It gives users an edge in multi-dimensional data analysis and mining; visualizing data; and exploring trading strategies. The use of SQL queries to analyze massive amounts of data, and through the visualization interface to configure, generate a variety of charts suitable for data analysis and share with the team, so you can easily grasp the market dynamics, grasp the investment opportunities! Examples of use can be found in: FMZ Quant Data Exploration Module.
The data source provided by datadata platform will be updated in real time and continuously, providing multi-dimensional and multi-type data support. It supports using private data as data source and uploading files in CSV format. And you can preview the data on the “Data Exploration” page.
It supports SQL statement to query data, and it supports query parameter setting. It supports data download format: CSV file, JSON file.
If you wish to save the current Data Exploration Research, you can click the “Save” button in the upper right corner to record this SQL query into the resource list (the resource list button is to the left of the save button) of the current FMZ account “Data Exploration”.
In addition to displaying data in the form of tables, the analyzed and queried data can also be adapted to a variety of visualization components. Display data in a more rich and vivid way.
It supports for sharing data to explore research data in the form of: public links, embedded code (e.g. embedded in FMZ platform community posts), embedded web pages, links to data, links to preview images. The research data in the Data Exploration module is not only used for display, but can also be provided directly to the strategy using the created “Data Link”, which supports live trading and backtesting.
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