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Quant Insight to roll out data-driven trading insights for retail traders and brokers

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A new quantitative financial market analytics and trading insights provider is launching a major scale up after four years of research and development and over $10m in funding from three investment rounds.

Quant Insight has offices in London, New York and Limassol, and 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 helps traders to understand market dynamics

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.

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.

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.


“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,” Noorani told us. “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.

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.

It’s not a coincidence that the world’s best known hedge funds and asset managers use Qi. Its growing client base of institutional investors has been universally positive, and according to Noorani, the company has a number of exciting partnerships, product updates and major announcements to unveil over the coming months, particularly as it tackles the retail investment market.

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This article does not constitute investment advice. Do your own research or consult a professional advisor.

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