CQG, a global provider of technology solutions for market
makers, traders, brokers, commercial hedgers, and exchanges, has disclosed the
successful completion of internal testing and proof-of-concept employing live
data for what it asserts to be a pioneering artificial intelligence (AI)
predictive model for traders. The announcement was made today (Monday).
Following machine learning (ML) training within a
back-testing environment, the company has commenced the application of the
technology to live data. CQG reports a notably high level of predictive success
in anticipating movements in the futures market. Leveraging its expertise in
analytics, mathematics, and market intelligence, the new ML initiative
endeavors to furnish retail traders and buy-side firms, including proprietary
trading firms and hedge funds, with tools for recognizing new trading and
analytics opportunities, guiding trading strategies, and managing positions.
Ryan Moroney, CEO of CQG, Source: LinkedIn
Ryan Moroney, the CEO of CQG 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.
CQG Unveils New First-of-its-Kind AI / Machine Learning Trading Toolkit for Predicting Futures Market Moves https://t.co/BCCJCwhAkg @CQGInc
— John Lothian (@JohnLothian) March 11, 2024
CQG’s AI Journey: From Exploration to Live Trading Success
CQG’s
exploration of AI over the past year has been focused on addressing its
clients’ challenges, with the technology tested in a cutting-edge
multi-platform lab. Last week marked a milestone as the company conducted its
inaugural test of the next-generation machine learning toolkit in a live
trading environment, achieving an 80% predictive accuracy, commensurate with
the results attained in the back-testing environment.
CQG, a global provider of technology solutions for market
makers, traders, brokers, commercial hedgers, and exchanges, has disclosed the
successful completion of internal testing and proof-of-concept employing live
data for what it asserts to be a pioneering artificial intelligence (AI)
predictive model for traders. The announcement was made today (Monday).
Following machine learning (ML) training within a
back-testing environment, the company has commenced the application of the
technology to live data. CQG reports a notably high level of predictive success
in anticipating movements in the futures market. Leveraging its expertise in
analytics, mathematics, and market intelligence, the new ML initiative
endeavors to furnish retail traders and buy-side firms, including proprietary
trading firms and hedge funds, with tools for recognizing new trading and
analytics opportunities, guiding trading strategies, and managing positions.
Ryan Moroney, CEO of CQG, Source: LinkedIn
Ryan Moroney, the CEO of CQG 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.
CQG Unveils New First-of-its-Kind AI / Machine Learning Trading Toolkit for Predicting Futures Market Moves https://t.co/BCCJCwhAkg @CQGInc
— John Lothian (@JohnLothian) March 11, 2024
CQG’s AI Journey: From Exploration to Live Trading Success
CQG’s
exploration of AI over the past year has been focused on addressing its
clients’ challenges, with the technology tested in a cutting-edge
multi-platform lab. Last week marked a milestone as the company conducted its
inaugural test of the next-generation machine learning toolkit in a live
trading environment, achieving an 80% predictive accuracy, commensurate with
the results attained in the back-testing environment.
