Source of Strategy Recently, I saw an interesting “Volatility Statistical Arbitrage Strategy” shared in the quantitative trading community. Although it is called an arbitrage strategy, aft...
In the field of technical analysis, identifying the four core price structure patterns of “higher highs (HH)”, “higher lows (HL)”, “lower highs (LH)” and “low...
In quantitative trading, the traditional K-line chart is one of the most commonly used data presentation forms, but it also has certain limitations, such as insensitivity to fluctuations or excessive ...
Demand Scenarios of Walkthrough System I was often asked this question in the FMZ platform community and in private communication with users: “Why can strategies written in MyLanguage or Pine sc...
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 conditions. The system matches order...
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, quantitative trading is...
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 UI, and various design details...
In the past few articles, we have discussed the access to mainstream DEXs, and this article will focus on actual practice and conduct actual strategy deployment tests. The FMZ platform has recently ad...
Preface In the field of blockchain tradings, decentralized exchanges (DEX) provide a trustless way to exchange assets, and SunSwap, as a representative DEX in the Tron ecosystem, supports smart contra...
Preface In the cryptocurrency market, trading opportunities are fleeting, especially high-yield arbitrage windows, which often only last for a very short time. If you rely solely on manual trading, it...