Skip to content

Electronic Trading Hub

High Frequency Trading | Low Latency systems | Market Making Models | C/C++

  • 📖 Books
    • eBook – C++ Trading Systems Performance
  • Subscribe to Electronic Trading Hub

Category: Quant

How the First Low-Latency Trading Market Was Designed: Architecture Lessons from Island ECN
Case of StudyElectronic TradinghftinfrastructureMarket microstructureQuant

How the First Low-Latency Trading Market Was Designed: Architecture Lessons from Island ECN

Ariel SilahianMarch 6, 2025February 26, 2026

Background: Stock Trading in the 1990s In the mid-1990s, U.S. stock trading was dominated by human intermediaries and fragmented systems.…

Accelerating Global Derivatives Trading
Case of StudyElectronic TradinggeneralhftinfrastructureMain NewsOTCQuant

Accelerating Global Derivatives Trading

Ariel SilahianSeptember 19, 2024September 19, 2024

Case of Study of a Chicago Firm’s Journey to Low-Latency Success with Expert Guidance Introduction A leading Chicago-based quantitative proprietary…

Order Book Imbalance Trading: Research-Backed Strategies and Practical Tools for Profitable Execution
Electronic TradingAnalyticsArtificial IntelligenceDatascienceEditor PickMarket microstructureQuant

Order Book Imbalance Trading: Research-Backed Strategies and Practical Tools for Profitable Execution

Ariel SilahianJuly 23, 2024February 26, 2026

Introduction Traders are always on the lookout for the slightest edge that can turn a profit. One crucial aspect that…

High-frequency trading through artificial intelligence for financial innovation
DatascienceElectronic TradinghftinfrastructureMarket microstructureQuant

High-frequency trading through artificial intelligence for financial innovation

aggregationJuly 17, 2024

Professor Chien-Feng Huang, at the National University of Kaohsiung in Taiwan delves into high-frequency trading across Artificial Intelligence In the…

Electronic Trading and Order Matching System Basics
hedge fundsElectronic TradinggeneralinfrastructureQuant

Electronic Trading and Order Matching System Basics

aggregationJanuary 24, 2024

Source: Electronic Trading and Order Matching System Basics Electronic trading and order-matching systems are systems that facilitate the buying and…

Live Algo Trading Challenges: Why Brokerages Fail Algorithmic Traders and How to Fix It
hedge fundsAnalyticsDatascienceeFXElectronic TradingForexgeneralOTCQuant

Live Algo Trading Challenges: Why Brokerages Fail Algorithmic Traders and How to Fix It

aggregationDecember 13, 2023February 26, 2026

This is a curated post, and the original post is here: Brokerages Suck: Navigating the Challenges of Live Algo Trading…

Do You Know What Your Algo is Doing at any given moment?
hedge fundsAnalyticsDatascienceElectronic TradinggeneralMain NewsMarket microstructureQuant

Do You Know What Your Algo is Doing at any given moment?

Ariel SilahianDecember 3, 2023July 23, 2024

Algorithmic trading, often referred to as algo trading, involves using computer programs to follow a defined set of instructions for…

Discussion and Implementation of Modern Portfolio Theory
DatascienceElectronic TradinggeneralQuant

Discussion and Implementation of Modern Portfolio Theory

Ariel SilahianSeptember 13, 2023

What is modern portfolio theory? Risk is one of the most fundamental traits that is associated with every single decision…

The top 17 trading metrics (and why you should care)
AnalyticsDatascienceElectronic TradinggeneralQuant

The top 17 trading metrics (and why you should care)

aggregationAugust 30, 2023

Let’s face it, most traders struggle to make money. Sure, they might have a nice winner once in a while,…

Challenges in developing trading strategies in quantitative finance
DatascienceElectronic TradinggeneralQuant

Challenges in developing trading strategies in quantitative finance

aggregationAugust 23, 2023

As we navigate the fast-paced world of quantitative finance, we often find ourselves balancing on a tightrope, juggling complex mathematical…

Python is 57x slower than C++ (and 45x worse for the planet)
careersDatascienceElectronic TradinggeneralinfrastructureQuant

Python is 57x slower than C++ (and 45x worse for the planet)

aggregationAugust 15, 2023

Banks and other financial institutions like to make a big deal about their environmental efforts through their ESG teams, but that…

Case Study: Algorithmic Trading With Go
hedge fundsAnalyticsElectronic TradinggeneralinfrastructureMarket microstructureOTCQuant

Case Study: Algorithmic Trading With Go

aggregationJuly 18, 2023

In this case study, we are excited to share an insider’s perspective and look under the hood of how a…

HFT: A New Race to Zero Latency is Starting?
Artificial IntelligenceDatascienceElectronic TradinggeneralhftinfrastructureQuant

HFT: A New Race to Zero Latency is Starting?

Ariel SilahianJuly 3, 2023

The ability to execute trades at lightning-fast speeds has been the driving force behind the evolution of trading technology. Now,…

Leveraging AI in Electronic Trading: A Game Changer for Investment Banks
AnalyticsArtificial IntelligenceDatascienceElectronic TradingQuant

Leveraging AI in Electronic Trading: A Game Changer for Investment Banks

Ariel SilahianJune 26, 2023

Artificial Intelligence (AI) has been a buzzword in the technology industry for several years now, but its implications extend far…

Case Study: Bond Trading System
hedge fundsAnalyticsDatascienceDerivativesElectronic TradinginfrastructureMarket microstructureOTCQuant

Case Study: Bond Trading System

aggregationMay 22, 2023

(By Jonathan Simon). Original article published here. It is easy to distance yourself from a large collection of patterns or…

Detailed performance analysis of a simple low-latency trading system
DatascienceElectronic TradingForexgeneralhftinfrastructureMarket microstructureOTCQuant

Detailed performance analysis of a simple low-latency trading system

Ariel SilahianMay 9, 2023

The video titled “A detailed performance analysis of a simple low-latency trading system” presents an overview of a simple low-latency…

Decoding the Quant Market
careersDatascienceElectronic Tradinggeneralhedge fundsMarket microstructureQuant

Decoding the Quant Market

Ariel SilahianApril 24, 2023

A Guide to Machine Learning in Trading This book has been created by ChatGPT-4 and promoted and published by Gautier…

Trading at light speed: designing low latency systems in C++ – David Gross – Meeting C++ 2022
careersDatascienceElectronic TradinggeneralhftinfrastructureMarket microstructureQuant

Trading at light speed: designing low latency systems in C++ – David Gross – Meeting C++ 2022

Ariel SilahianApril 10, 2023

[vc_row full_width=”stretch_row”][vc_column][vc_column_text] Making a trading system “fast” cannot be an afterthought. While low latency programming is sometimes seen under the…

Trading System Performance Unleashed: A Comprehensive Guide for Finance Professionals
careersElectronic TradinggeneralhftinfrastructureQuant

Trading System Performance Unleashed: A Comprehensive Guide for Finance Professionals

Ariel SilahianApril 3, 2023November 6, 2024

Are you looking to optimize your trading systems for high-frequency trading? Do you want to unlock the full potential of…

Rust Vs. C++: an Utmost Comparison of Performance, Speed and Safety
careersElectronic TradinggeneralinfrastructureQuant

Rust Vs. C++: an Utmost Comparison of Performance, Speed and Safety

aggregationMarch 22, 2023

Rust vs. C++ is a fairly popular topic of discussion because they compete in the same realm of system-level development…

From Inside a Hedge Fund: Revelations From Insiders
hedge fundscareersDatascienceeFXElectronic TradingForexgeneralhftinfrastructureQuant

From Inside a Hedge Fund: Revelations From Insiders

Ariel SilahianFebruary 23, 2023

Original post is by Mikhail Kirilin. click here. Hedge funds are the most off-limits financial institutions doing their best to…

Introduction to Markov models and Markov Chains
AnalyticscareersDatascienceEditor PickElectronic TradinggeneralQuant

Introduction to Markov models and Markov Chains

Ariel SilahianFebruary 7, 2023July 23, 2024

This article was originally posted by Nagesh Singh Chauhan and you can read it here. The article contains a brief…

Recent Posts

  • NSE Nanosecond Trading Infrastructure: Five Stack Layers That Decide Your Fill Quality on April 11
  • FX Execution Quality Failures When Equities Desks Expand Into FX: A Market Microstructure Diagnostic
  • Cross-Exchange Arbitrage and the Crypto OMS Gap: Why Manual Execution Caps Your Monthly ROI at 0.5%
  • Venue-Specific Latency: Why Deterministic Trading Infrastructure Must Be Calibrated Per Exchange
  • Flash Crash Decision Paralysis: Why Your Risk Architecture Cannot Rely on Human Reflex

Recent Comments

  1. Freebee34 on FX Execution Quality Failures When Equities Desks Expand Into FX: A Market Microstructure Diagnostic
  2. tanvismiley on How do I design high-frequency trading systems and its architecture. Part II
  3. Michelle Brown on How do I design high-frequency trading systems and its architecture. Part II
  4. Moiramarshal on How to build a Crypto Exchange in 2023
  5. tempmailbox.net on How to Build a Quantitative HFT Forex-Shop

Categories

  • Analytics
  • Artificial Intelligence
  • careers
  • Case of Study
  • Datascience
  • Derivatives
  • Editor Pick
  • eFX
  • Electronic Trading
  • Forex
  • general
  • hedge funds
  • hft
  • infrastructure
  • Main News
  • Market microstructure
  • OTC
  • Quant
Subscribe to Updates

Subscribe to Updates

Get email notifications on new HFT & electronic trading analysis.

Subscribe
Copyright © 2026 Electronic Trading Hub | Legal News by Ascendoor | Powered by WordPress.