Quant Insight expands with $10m funding to enhance AI-driven trading analytics, offering insights to top investment banks and retail investors.
New quantitative financial market analytics and trading insights provider Quant Insight (Qi) has announced a major scale up after four years of research and development and over $10m in funding from three investment rounds.
The company, which has offices in London, New York and Limassol, has clients with total Assets Under Management (AUM) of over $2.5 trillion incorporating Qi’s analytics in their investment process. It is led by experienced macro hedge fund portfolio managers and leading academics in machine learning and signal extraction from Cambridge, Harvard and Princeton, in addition to best-in-class data engineers.
Quant Insight’s AI-based financial market brain (RETINA) scans millions of data points daily to provide a succinct overview on how macro forces are impacting all asset classes, from FX, indices and single stocks, to commodities, bond futures and cryptocurrency. RETINA reduces millions of data points into two to five essential daily insights and is already being used by some of the world’s best known investment banks, hedge funds and asset managers, including Alan Howard of Brevan Howard.
Quant insight was co-founded by experienced macro investor and portfolio manager, Mahmood Noorani, who has previously worked at Morgan Stanley, UBS, BlueCrest Capital, Citi Capital Advisors Global Macro Fund, and Credit Suisse. Other key partners in the business include Professor Michael Hobson, Professor of Astrophysics at the University of Cambridge, who authored the Qi White Paper on methodology, which emphatically validated the Qi algorithm, and Professor Ryan Prescott-Adams, an academic leader on Machine Learning and former lecturer at Harvard, who sits on Qi’s Academic Advisory board.
Qi’s investors also include Alan Howard and JP Stein, with additional investors including financial market professionals, the ex-CEO of a major European investment bank, and the Chairman of a top three US investment bank.
Currently, with the rise of the retail trader, Quant Insight is developing an API, which allows them to partner with online brokers and messaging platforms, granting retail investors access to some of the cutting-edge analytical tools and trading signals that are being used by institutional investors.
Mahmood Noorani, Co-Founder and CEO for Quant Insight, told Global Banking and Finance, “For too long the investment world has relied on a mixture of subjective research, educated guesses and an abundance of data that has made accurate decision-making impossible.
“To tackle this endemic problem, we have combined advanced mathematics, data science, machine-learning, and decades of financial expertise to create a fully-automated financial market brain, RETINA, that scans markets globally, intraday, ingesting millions of data points daily on high frequency macro information, to identify high probability opportunities and deliver signals in real time.
“It’s not a coincidence that the world’s best known hedge funds and asset managers use Qi. Our growing client base of institutional investors has been universally positive, and we have a number of exciting partnerships, product updates and major announcements to unveil over the coming months, particularly as we tackle the retail investment market with increasing efficiency”, added Noorani.
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The article discusses Quant Insight's $10m expansion to enhance its AI-based trading analytics platform.
Key figures include Mahmood Noorani, co-founder and CEO, and Professor Michael Hobson, a partner and academic advisor.
RETINA is Quant Insight's AI-based financial market brain that analyzes macroeconomic data to provide trading insights.
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