Empowering investors with AI-Generated Signals
Institutional grade analytics, made easy
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Generate profit-making ideas on 5000+ Assets
Level the Playing Field
Empower your investment strategy with data and analysis used by the world's largest funds.
Discover opportunities through our AI-generated signals and in-depth insights.
Build your portfolio with a broad range of assets tailored to your investment focus.
It's time to even things up
Giving retail investors a professional edge
Your gateway to informed and strategic investing:
Our platform utilizes cutting-edge algorithms to generate actionable insights, providing a competitive edge for both seasoned investors and those new to the market.
Our signals are crafted through macro-valuation, trend analysis, and meticulous back-testing. This combination ensures a comprehensive evaluation of an asset's value, market conditions, and historical performance.
Spot opportunities with the eyeQ smart machine, which measures an array of macro factors and computes fair values based on historical relationships.
Every signal is a step towards smarter, more confident investments.
Make informed investment decisions with unique insights
Topical observations from our macro lens. Build your investment roadmap with the best-in-class analysis and global data.
Whether it's economic shifts, geopolitical events, or emerging trends, our analysis offers an in-depth understanding of the factors influencing your investment landscape.
These insights are delivered through video, email or written formats.
CEO & Co-Founder
Head of Marketing
Head of Analytics
Huw started his career in research at NatWest Markets working in economics & bond strategy before moving into Fixed Income sales at investment banks such as Merrill Lynch and CSFB. He has been at Quant Insight since the start and is now responsible for brining eyeQ's machine generated trade ideas to life - putting each signal into the context of what's topical in financial markets.
Head of Product
Omar joined Quant Insight/eyeQ in 2016, where he is now responsible for managing the delivery and development of products and UI. Prior to Qi, he spent 3 years at Citi within the Global FX team covering Sales and Options Trading. Omar graduated from the University of Southampton in 2012 with a degree in Economics.
Senior Back-end Developer
Jack joined Quant Insight in 2018, straight from Bristol University where he graduated with a B.Eng. in Engineering Mathematics. Jack works across both the data science and back-end development teams. He developed Qi’s initial trading bot RETINA, which is pivotal in the creation of eyeQ signals.
Sales, Marketing, and Communication Manager
Charlie graduated from University of Bristol with a BEng in mechanical engineering. He trained as a data scientist at Afiniti, working on machine learning modelling before joining Quant Insight as a quantitative analyst. Charlie has been working on the development of Qi/eyeQ’s algorithm, RETINA and integrating clients APIs.
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