high-frequency-trading

Most retail algorithmic trading bots rely heavily on legacy technical analysis indicators—think RSI, MACD, or Bollinger Bands. While these indicators are easy to calculate, they suffer from a fatal flaw: they are lagging metrics derived entirely from historical price adjustments. In high-frequency, institutional environments, relying on simple moving averages is like trying to drive a car while l…

If you've ever scrolled through Polymarket or Kalshi wondering whether the "wisdom of crowds" is actually wisdom—or just organized noise—you're not alone. A new paper, "How Wise is the Crowd? Bias and Edge in Prediction Markets," tears into the microstructure of modern prediction markets to ask a practical question: Who's actually making money, and who's just paying for the privilege of being lou…

Opinion of the Court 25-13631 ROSENBAUM, Circuit Judge: High-frequency trading in securities markets is technologically sophisticated and almost incomprehensibly fast. The dispute in this case centers on 350 microseconds, about one-third of one-thousandth of a second.1 That sounds fast—and it is—but it’s a long time for a high-frequency trader. Today, securities trading operates based on electron…

Table of Contents The Price of US Market Efficiency Instrument Adverse Selection First: Why VPIN and OFI Are Not Academic…

What are some characteristics of dark pools that might significatly change the architecture of HFT algorithms implemented in them vs the open market ? What are the liquidity differences between the two ? Are they several orders of magnitude smaller than the open market? IS the lack of presence of retail traders a consideration or is their trading volume negligible in comparison to large instituti…

I recently went down a rabbit hole connecting OS internals with real-world low-latency systems. While learning about process management in operating systems, I kept wondering: “Where does this level of optimization actually matter?” That eventually led me to High-Frequency Trading systems — one of the few domains where microseconds can literally mean money. So I decided to break down how modern H…

The Dutch market making giant protects a €130bn central risk book with a ‘latent backbone’ that allows it to react quickly across asset classes, according to CEO Jan Boomaars As […]

We've noted in the past that 'high-frequency trading' (HFT) firms are branching out and doing much more than just their namesake. They've been building out teams with hedge fund talent, but the flow of talent isn't one way. Hedge fund Millennium, for example, quietly brought in the chief technology officer of one of the world's largest HFTs earlier this year. 💥Follow us on WhatsApp for news …

In this paper, we consider estimating spot/instantaneous volatility matrices of high-frequency data collected for a large number of assets. We first combine classic nonparametric kernel-based smoothing with a generalized shrinkage technique in the matrix estimation for noise-free data under a uniform sparsity assumption, a natural extension of the approximate sparsity commonly used in the literat…

Mosaic Finance, the high-frequency trading firm that fought a fierce battle against Eurex and its regulator over “corrupted” orders allegedly being sent by rivals, has entered judicial restructuring after running […]

Table of Contents The Counterintuitive Inversion: When a 50.8% Reject Rate Is Your Best Defense The Single-Metric Trap: Why Execution…

By Ariel Silahian | 20+ years building HFT infrastructure | Creator of VisualHFT Table of Contents The $1.25M Planning Failure…

The research paper titled “Transforming Financial Markets: Goldman Sachs’ Integration of Artificial Intelligence in Algorithmic Trading Systems” examines how artificial intelligence is reshaping modern financial trading by enhancing the capabilities of traditional algorithmic systems. It highlights the limitations of conventional methods in handling large volumes of high-frequency and unstructure…

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High Frequency Trading (HFT) firms are among the most technologically advanced participants in modern financial markets. These firms use powerful algorithms, advanced data analysis, and ultra-fast infrastructure to execute trades in milliseconds. The United States is home to many of the top HFT firms in the USA, including companies that operate some of the most […]

Financial markets have evolved rapidly over the past two decades, andderivatives trading has become an important component of modern financialsystems. Among various derivative instruments, options trading offerstraders flexibility in expressing market views, managing risk, and buildingstrategic positions based on direction, volatility, and time. However, despiteits growing popularity, many trader…

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"Integrity is the essence of everything successful." This has been rightly quoted by Mr. Buckminster Fuller. Ethical trading is the point at which the Company's, the Investor's and the General Public's interests are coincided and are thought about without risking any of their interest during the course of its trade. Insider Trading is purchasing, offering or managing a security while rupturing th…

This document presents the canonical WLRT A.D.E (Action–Decomposition–Execution) frameworkapplied to trading strategies and liquidity management. It defines admissible structural configurations, market regimes, and execution constraints,without providing trading signals, performance claims, or executable strategies. This publication is part of the WaveCounter / WLRT canonical architecture.

By Linda Kreitzman, Executive Director of the Master of Financial Engineering Program at Berkeley Master of Financial Engineering programs’ students have, in my view, a very wide array of job opportunities in front of them, and not just in traditional quantitative finance with roles as strats at an I-bank, or researchers/portfolio managers at a hedge fund, derivatives traders, or in high frequenc…