Quant Insight (Qi), a provider of analytics that focus on macro factors to the buy-side quant community, has developed a client application within the OpenFin desktop operating environment. The move is aimed at reducing overhead while improving client experience and flexibility.
According to Mahmood Noorani, Qi’s founder and CEO, “Making Qi available through the OpenFin ecosystem will allow us to efficiently deliver continuous quant macro data to users without large overheads. Our customers including wealth managers, hedge funds, pension funds will benefit from the enhanced user experience and ease of access to complement their daily decision making and workflow processes.”
Qi provides quantitative macro analytics to buy-side quants operating across multiple asset classes and with emphasis ranging from discretionary to systematic, and from equity long/short to absolute return. Qi helps identify investment opportunities and manage risk, whether they are bottom-up or top-down in approach.
The company combines its own investment expertise with combined high-quality data, proprietary algorithms and AI-driven machine learning models to help clients make sense of complex trading environments and offer actionable buy/sell signals.
The collaboration with OpenFin enables the seamless deployment of Qi’s quantitative macro analytics using OpenFin’s OS, giving end-users a simple, comprehensive macro solution to aid their strategy, via an integrated API and an enhanced user experience dashboard.
In building its data analytics app on OpenFin, Qi reckons it will help clients adopt cutting-edge analytics with less need to develop and invest in quant personnel and the associated technology overheads.
The Qi will leverage the interoperability afforded by the OpenFin environment to expose the macro drivers and sensitivities of assets, indices and portfolios to other applications through OpenFin’s message bus. This will give clients greater understanding of the key influences driving asset prices, so their teams can more effectively manage their risk and performance.
Designed to help active managers evaluate and validate investment decisions, Quant Insight analyses data sets for over 6,000 securities across all major asset classes to uncover the macro factors driving the price of the assets traded and identify regime changes before the market narrative shifts. Using the QI analytics tools, portfolio managers are able to identify actionable trade ideas and create bespoke hedging strategies designed to enhance execution performance and understand their macro risk.
Quant Insight is the result of extensive collaboration between experienced traders and macro investors, data scientists and mathematical models from Cambridge University’s Astrophysics Group led by Professor Michael Hobson.
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