The analysis formula refers to the market quote calculation method in the public alpha101 of worldquant, which is basically compatible with its grammar, and has been enhanced.

Open source FMZ Quant TA library, learn to use (with Javascript/Python/C++ versions), the code is the best commentary, how can you say you know how to use an indicator if you don't know how it is generated.

It introduces the concept of quantitative trading, the introductory, advanced, and the actual combat details of the FMZ Quant Platform.

FMZ Quant Trading Platform supports the programmatic invocation of various functions of the platform, and it has opened up the extended API interface.

Quick mastery of common methods in JavaScript: numbers, strings, and operators; variables, arrays, and objects; logic and control structures; functions, scope, closures, and more.

Mainly targeted towards individuals with some programming background, this guide aims to help them quickly get started with Python and its basic usage methods.

Advanced visual programming enables FMZ to combine visual modules to create more complex functionalities.

The main focus of this guide is to introduce the usage methods and common examples of logic module types and mathematical module types.

Use visual programming to create a simple but interesting strategy for buying the winners, and perform backtesting on the FMZ Platform.

Using the JavaScript language, connect using the platform's encapsulated Dial function. Detailed instructions and parameters can be found in the documentation.

Introduction to various functions and usage methods in the FMZ Quant Platform App

The backtesting mechanism of the FMZ Quant Platform is different from the commonly used onbar backtesting, which has caused confusion among many beginners.

It introduces the problems encountered in strategy parameter design, parameter linkage, parameter grouping and other functions.

Detailed description of the structure of the interactive buttons in the strategy status bar, and the details of the communication with the strategy.

It is possible to backtest using self-collected trading data in cases where the FMZ does not provide the data.

Implement the functions of accessing decentralized exchanges (DEX), obtaining on-chain data, sending transactions, etc. on the FMZ Platform.

Before learning this tutorial, you need to have a basic understanding of how to use the FMZ Quant platform and how to write a basic tutorial on the FMZ Quant platform, as well as proficiency in programming languages.

To collect frequently asked questions from new users of FMZ Quant, you can use Ctrl + F to open a page to search it.

Includes the syntax of all built-in variables, structures, and functions of the platform, making it easy to find out how to use them at any time.

The User Guide helps you quickly understand how the FMZ Platform works and the basic steps to shorten the learning curve.

Understand the structure and functionality of the FMZ Quant Trading Platform, be able to create strategies and run them in live trading.

This tutorial covers the basics of strategy writing, including API introduction, backtesting, charting and more!

FMZ Quant Trading Platform supports Pine language strategy writing, backtesting, live trading running of Pine language strategies, and compatibility with lower versions of the Pine language.

The programmatic trading language used on the platform. We are not only compatible with MyLanguage, but have also enhanced and improved it. The language performs very strict checks on syntax.

It introduces the common usage of variables, structures, and built-in functions in PINE syntax, as well as common examples.

Easily backtest your strategies locally with the Python backtesting engine provided by the FMZ Platform.

This general protocol can be used to access any exchange that provides API trading, the specific API protocol is not limited, whether rest, websocket, fix... can be accessed and used.

Visual programming has always been an aspirational goal for software tool developer,s because visualization is a "what you see is what you get" approach that lowers the technical barriers to programming development greatly.

Detailed description of the download, installation and upgrade procedures of the FMZ docker, as well as the precautions in the use of docker.

Easily backtest your JavaScript strategies locally with the JavaScript backtesting engine provided by the FMZ platform.

Use Chrome's DevTools function for breakpoint debugging in JavaScript strategy backtesting.

The FMZ Quant Platform upgraded the underlying system to let the strategy program be executed concurrently, and add multi-thread support at the bottom of the system to the JavaScript strategy.