Preface This article introduces the design and implementation of PaperTrader, a simulation trading system based on the FMZ Quant platform and driven by real ticker… ( Read More )
Using AI to Learn Strategy Design Reversely: A New Way to Improve Quantitative Trading Skills
With the rapid development of artificial intelligence (AI) technology, it has demonstrated extremely high efficiency and creativity in many fields. As a highly technical field,… ( Read More )
The Go-Anywhere Quantitative Journey Starts from FMZ
Introduction Have you ever thought that quantitative trading can be learned easily and started immediately without writing code all night to build a framework, designing… ( Read More )
How to Implement Pending Orders in Decentralized Exchanges — Taking Curve as An Example
Why Pending Orders? In the cryptocurrency market, trading opportunities are often fleeting, especially arbitrage opportunities, which may only last for a few minutes. If you… ( Read More )
Design and Implementation of DEX-CEX Exchange Price Difference Monitoring Based on FMZ Quant
Several DEX exchanges, including dydx_v4, hyperliquid, vertex, and aevo, have been encapsulated and connected on FMZ platform. As the competition for price difference arbitrage in… ( Read More )
Quantitative Analysis Helps Grid Strategy (II): Relationship Between Grid Number and Yield
In the previous article, we used quantitative analysis methods to screen currencies by amplitude and fluctuation preliminarily. Next, we will explore a key factor in… ( Read More )
Quantitative Practice of DEX Exchanges (3) - Vertex Protocol User Guide
This is the third article about the quantitative practice of DEX exchanges. In this article, we will introduce the user guide of the Vertex protocol.… ( Read More )
Discussion on Strategy Testing Method Based on Random Ticker Generator
Preface The backtesting system of the FMZ Quant Trading Platform is a backtesting system that is constantly iterating, updating and upgrading. It adds functions and… ( Read More )
New Feature of FMZ Quant: Use _Serve Function to Create HTTP Services Easily
In quantitative trading and automated strategy development, http services are sometimes used. The FMZ Quant Trading Platform has added a function _Serve() recently, which provides users with… ( Read More )
A Strategy Template Allows You to Use WebSocket Market Seamlessly
This is a WebSocket market template officially developed by FMZ. Welcome all users to copy and use it: https://www.fmz.com/strategy/470349 Why do we need WebSocket? At present,… ( Read More )