ASX-Dividend-Report-Banner

CQG Unveils New First-of-its-Kind AI / Machine Learning Trading Toolkit for Predicting Futures Market Moves

March 11, 2024 10:00 PM AEDT | By Cision
 CQG Unveils New First-of-its-Kind AI / Machine Learning Trading Toolkit for Predicting Futures Market Moves
Image source: Kalkine Media

Success in Live Trading Environment Confirms Internal Test Results

DENVER and BOCA RATON, Fla., March 11, 2024 /PRNewswire/ -- CQG, a leading global provider of high-performance technology solutions for market makers, traders, brokers, commercial hedgers and exchanges, today announced completion of internal testing and proof-of-concept using live data on what the firm believes to be a first-of-its kind artificial intelligence (AI) predictive model for traders. Following extensive machine learning (ML) training in a back-testing environment, the firm just started applying the technology to live data, with an extremely high level of predictive success in anticipating futures market moves. CQG made the announcement on the first full day of FIA Boca, the International Futures Industry Conference.

Based on the firm's deep experience in analytics, mathematics and market intelligence, the new ML initiative aims to offer retail traders and buy-side firms, including proprietary trading firms and hedge funds, unprecedented tools for identifying new trading and analytics opportunities, guiding trading strategies, and managing their positions. CQG has been exploring the field of AI for the past year in the context of solving for its clients' challenges, testing the technology in a state-of-the-art multi-platform lab. Last week, for the first time, the company tested its next-generation machine learning toolkit in a live trading environment and achieved 80% predictive accuracy – matching the results attained in the back-testing environment. 

CQG CEO Ryan Moroney said: "In early 2023, we decided we wanted to do something different in machine learning and AI that leveraged our unique position in the market, building off our comprehensive database of historical trade data and analytics in a way that could help our clients and prospects analyze, predict and trade markets through a new lens. We built a lab, and Kevin Darby – our Vice President of Execution Technologies – has done an extraordinary job of turning that effort into an exciting reality with results that have significantly surpassed our expectations."

Darby said: "We first had to solve multiple real-world challenges, such as storing and curating terabytes of historical market data while retaining the ability to make decisions in microseconds in real-time environments. We built bridges between the current ML infrastructure, based on the Python language, and the reliance of the financial industry infrastructure on C++. We also needed to recast the traditional ML training pipeline to optimize for generative time series prediction to estimate conditional probability distributions in a mathematically satisfying and stable way."

He said the firm's AI in a live environment was consistently able to predict with 80% accuracy whether the next movement in the E-mini S&P 500 futures contract would be up, down or unchanged.

Moroney said CQG has already identified multiple uses related to algorithms (algos), charting and research and is starting to explore other applications with key partners.

He said: "What we've built is portable. We can give a firm a set of encrypted files, and they can see how our technology predicts moves in liquid futures contracts with a high rate of accuracy. They will be able to use our ML lab, apply cloud computing resources and create their own models, either leveraging our models as foundational or making their own from scratch using our historical data and ML toolkit. They can then use CQG for charting and trading with those models. We have extremely smart, creative clients. This is a truly innovative breakthrough, and we're looking forward to collaborating with them on the potential uses we haven't even considered yet."

Moroney said: "For the past 40 years CQG has built sophisticated, intuitive tools for customers to better visualize and analyze market data to make smarter trading decisions. We view our new ML offering as the next breakthrough for mission-critical trading tools delivered by CQG."

About CQG

CQG provides the industry's highest performing solutions for traders, brokers, commercial hedgers and exchanges for their market-related activities globally, including trading, market data, advanced technical analysis, risk management, and account administration. The firm partners with the vast majority of futures brokerage and clearing firms and provides Direct Market Access (DMA) to more than 45 exchanges through its global network of co-located Hosted Exchange Gateways. CQG technology serves as the front end for a variety of exchanges and is increasingly employed as the over-the-counter matching engine for important new markets. CQG's server-side order management tools for spreading, market aggregation, and smart orders are unsurpassed for speed and ease of use. Its market data feed consolidates 85 sources, including exchanges worldwide for futures, options, fixed income, foreign exchange, and equities, as well as data on debt securities, industry reports, and financial indices. One of the longest-serving technology solutions providers in the industry, CQG has won numerous awards for its trading software, technical analysis and multi-asset trading platform. CQG is headquartered in Denver, with sales and support offices and data centers in key markets globally, providing services in more than 60 countries. For more information, visit www.cqg.com.

Logo - https://mma.prnasia.com/media2/562279/CQG_Logo.jpg?p=medium600


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.

This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.

AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.