Inventors quantify the "research environment" feature

Inventors quantify the "research environment" feature

In the field of quantitative trading, quantitative research analysis tools are essential. A flexible and powerful research analysis tool can greatly speed up analysis, save time, help clarify ideas, record research processes, details. It is easy for users to learn, communicate, communicate and publish their own analytical research processes. FMZ is the latest addition to the popularjupyter notebookIt helps users to get familiar with the platform's API and to conduct strategic research and support.Python3、C++11/17andJavaScriptThis is a great learning environment.

After logging in to the inventors' quantitative trading platform, you can see in the control center:The site is open to the general public and is free of charge.

Use help

On the Research Environment page, you can see the "Use Help" option:

Some of the teaching paradigms used include:

Currently supported programming languages

• JavaScript

• Python

• C++

Share your research paper

• 1, edited research notes

  

• Save as a research environment document

  

• 3, can be freely shared in community forums, quoted.

  

• 4, other users can download the research paper directly after seeing it in community posts

  

  After downloading the research document, you can upload it to your own "research environment" for further research, analysis, modification and adjustment.

A reference example in the field of practical learning studies:

Work ethic - learning how to use research environment to analyze trading principles