From the Trading Desk
Engineering deep dives, product updates, and high-frequency trading research.
19 articles published
Six Study Tiles, One NASDAQ Day: The Theory, the Screen, and What the Data Supports
We replayed a full NASDAQ TotalView-ITCH trading day through VisualHFT, captured each study tile doing what its research says it should, walked through every pause, and tested each tile against a free rule on symbols held out from the design.
1,200 stars on the public VisualHFT repository
The public VisualHFT repository on GitHub has reached 1,200 stars. Thank you to everyone who starred it.
Order-book imbalance and the next ten seconds
We recorded VisualHFT against live Kraken BTC/USD twice, measured whether each study tile said anything about the next price move, and then spent longer trying to break the answer than we spent finding it.
The Healthiest Tile on the Screen Is the One Doing Nothing
When a feed degrades, the message rate and the latency both tell you something is wrong. Neither tells you which kind of wrong. Two counters that sit still all day separate a live session the connector is fighting to keep from a setup step that never completed, and they are the pair nobody watches.
A Stale Feed Looks Exactly Like a Calm Market: Monitoring Trading Infrastructure in Real Time
Trading infrastructure fails in disguise: a dead feed reads as a quiet market, a filling disk reads as venue latency, a corrupted book reads as a trading signal. A walkthrough of the measurements that separate them, and the VisualHFT dashboard that puts all of them on one screen.
Bring Your Own Historical Market Data: A New VisualHFT Guide
A new documentation guide covers every way to get captured market data into VisualHFT: NASDAQ TotalView-ITCH pcap, FIX 4.2 logs, VisualHFT's own recorders, and a converter you can write in an afternoon for anything else.
Inside the VisualHFT Private Beta: From Market Data to Execution Decisions
Update, October 14, 2026: the VisualHFT beta is now public; no invitation or request is needed. First published on July 22, 2026, this product deep dive follows the complete workflow from raw market data and pre-trade analysis through event replay and execution diagnostics.
The Six-Signal Microstructure Cascade: How VisualHFT Instruments the Full Second Before the Print
Cancel-side asymmetry, refresh-latency p95 widening, VPIN elevation, multi-level LOB shift, spread widening, then the print. Each signal has a name, a plugin, and a GIF. Here is the full cascade as VisualHFT instruments it in real time.
Watching Cancel-to-Trade Ratio Drift in Real Time: What Batch Reports Miss Before the Flag Arrives
A 14:1 daily mean hides 3-minute intraday windows at 60:1 where messaging-fee tiers trip and exchange surveillance queues flag quote-stuffing-adjacent activity. Here is why CTR at sub-second cadence, segmented by side and depth, reads as a different metric than its end-of-day aggregate, and how VisualHFT renders it live.
VPIN and Real-Time Order Toxicity: What Your Execution Stack Cannot See Before the Fill
VPIN and LOB imbalance signal informed order flow before the price print moves. Here is why your execution stack is blind to it — and how VisualHFT changes that with real-time, auditable microstructure analytics.
Getting Started with the Open-Source VisualHFT Application
Build the open-source VisualHFT application, connect public market data, inspect its studies, and extend it with the public SDK templates.
Trade Surveillance in Modern Financial Markets
As financial markets continue to evolve, the role of sophisticated trade surveillance systems like VisualHFT becomes increasingly crucial. By integrating advanced technological capabilities with a deep understanding of market dynamics, VisualHFT stands at the forefront of efforts to maintain transparency, ensure compliance, and uphold the integrity of the financial markets.
Volume-Synchronized Probability of Informed Trading (VPIN)
This article explores the Volume-Synchronized Probability of Informed Trading (VPIN), a metric enhancing market analysis by measuring trade volume imbalances. Developed by Easley, López de Prado, and O'Hara, it's crucial for detecting informed trading and market sentiment, particularly in volatile markets. VPIN's significance is highlighted in studies like the 2010 Flash Crash analysis. Its real-time application in market surveillance and forecasting volatility, especially in high-frequency trading, marks a significant advancement in financial analytics.
The Art and Science of Market Resilience in Trading Strategies
Market Resilience (MR) has emerged as a pivotal metric in the field of trading analytics platforms, offering a real-time gauge of market stability following significant trades. This metric is particularly relevant for traders and financial analysts who rely on real-time trading analytics to make swift, informed decisions in a dynamic market environment.
Enhancing Algorithmic Trading: Tools for Real-Time Strategy and Slippage Reduction
Understanding the intricacies of algorithmic trading is essential for traders in today’s digital age. From the significance of the Limit Order Book to the influence of trading venues, each aspect plays a crucial role in trading outcomes. Tools like VisualHFT offer insights and real-time monitoring capabilities, highlighting the importance of staying informed and adapting to the evolving landscape. As trading continues to advance, embracing these insights and tools will be vital for success in the market.
Leveraging Limit Order Book Imbalances for Profitable Trading: A Deep Dive into Recent Research and Practical Tools
In this article, we’ll explore these questions in depth. We’ll dive into recent academic research that has investigated the potential of LOB imbalances as a trading signal. We’ll dissect these studies, understanding their methodologies, dissecting their results, and drawing out their conclusions. Our journey will take us through the intricacies of trade arrival dynamics, the price impact of order book events, and the predictive power of queue imbalances.
Decoding the Cancellation-to-Trade Ratio: Rethinking its Role in High-Frequency Trading Analysis
The cancellation-to-trade ratio has been a longstanding metric for assessing High-Frequency Trading (HFT) activities in financial markets. Traditionally, this ratio was thought to reflect the frequency of order placement and cancellation typical of HFT strategies, particularly in relation to liquidity provision. Recent research, however, challenges this view, suggesting a more complex relationship between HFT activities and the cancellation-to-trade ratio.
A story of how VisualHFT was born
Discover the story behind VisualHFT: From its inception as a vital tool for high-frequency trading to its evolution into a comprehensive platform for market analysis and surveillance. Explore how VisualHFT bridges the gap between complex market data and actionable insights, offering innovative solutions for traders and financial professionals.
No articles in this category yet.
Stay in the loop
Get notified when we publish new research, engineering deep dives, and product updates.
Get Started