The leading macro research firm Quant Insight announced the launch of their ‘Analytics Dashboard’ functionality, bringing together the ability to analyse and visualise patterns between asset prices and the macro forces driving them, and tools to identify the best trading expression across all asset classes.
Aiming to provide discretionary managers with actionable investment ideas, the company finds that discretionary portfolio managers face challenges such as capital flight and margin compression due to the threat from passive strategies. This requires active managers to deliver a superior performance.
Alpha generation is becoming trickier with an explosion of data, greater cross-asset correlations and geographical inter-connectedness. Even when managers have the right call on their macroeconomic or Central Bank policy view, they face the issue of choosing the right trade expression.
Quant Insight is launching ‘Analytics Dashboard’ to provide an ultra-quick, user-friendly way for investors to access data and analytics relevant to their trading activity, in one single view, making it easier to visualise sensitivities to macro factors and valuation gaps to find the best trade expression of their view or chosen theme.
Regarding managers’ pre-determined views, the QI Analytics Dashboard is able to rank by sensitivity to their chosen theme, thereby presenting the user with the optimal trading expression across all asset classes.
The platform also provides the user with an immediate snapshot of when a security is trading rich or cheap to QI model value as managers can visualize the biggest price deviation from the model for any equity index, sector or stock, which FX cross or part of the yield curve.
Mahmood Noorani, Founder at Quant Insight, said: “What we have set out to do, is transform macro views and themes into actionable trade ideas. We do this by combining our investment expertise with AI and machine learning technology to improve our clients’ investment strategies.”
“The QI analytics dashboard was designed in response to client demand and will further improve the user experience for portfolio managers, significantly reducing the time required to assimilate necessary information, find the best trade expression and enhance overall performance”, Noorani added.
QI ‘Analytics Dashboard’ was launched in January 2017 following three years of technological development. Quant Insight combines investment expertise with high-quality data, proprietary algorithms and AI driven machine learning models.
