About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Bouchard Rolls AlgoFast Event Driven Trading Platform

Subscribe to our newsletter

Chicago-based Bouchard Systems has unveiled its AlgoFast suite of execution software, focused on processing machine readable news feeds to drive trading decisions. In its first release, the software supports trading on the Chicago Mercantile Exchange, with execution via Interactive Brokers.

Founder Justin Bouchard – who comes with many years of cross-market trading experience – says the software was originally written to simplify the details of the trading algorithms that he had designed: “I wanted a logic window to explain things verbally in plain English instead of trying to read through equations and code.”

Moreover, Bouchard was interested in trading based on underlying events, not on the price movements they triggered. “I needed a system that could trade economic numbers, earnings reports, and other event trading opportunities dynamically. If an economic number came out farther away from the expected number on the street, I wanted to trade more contracts and pay up farther through the market.”

[See video on Gradient Scale Event Trading]

AlgoFast relies on machine readable news feeds from the likes of Thomson Reuters and Dow Jones, which pre-process raw text and present key parameters in numeric form, which can be readily fed into a trading algorithm. The software – which would be either installed at a trading firm’s office or co-lo presence – has an ‘event to trade’ latency of less than a millisecond – significantly faster than a trader’s ability to react to news.

In the future, Bouchard plans to add direct trading support for other markets, such as Eurex, NYSE Euronext and Nasdaq OMX. A web-based version of the suite for equities is also planned.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Unlocking Wall Street’s Dark Data: How AI Agents are Transforming Trading Floor Chat

For decades, some of the most valuable information in financial markets has been hiding in plain sight. Client intent, actionable orders, and vital market colour have been locked within the unstructured, transient streams of human-to-human chat. On trading floors worldwide – particularly in over-the-counter (OTC) markets – this conversational data represents a multi-trillion-dollar blind spot:...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Entity Data Management Handbook – Seventh Edition

Sourcing entity data and ensuring efficient and effective entity data management is a challenge for many financial institutions as volumes of data rise, more regulations require entity data in reporting, and the fight again financial crime is escalated by bad actors using increasingly sophisticated techniques to attack processes and systems. That said, based on best...