Quant Insight, a London based macro research firm providing discretionary managers with actionable investment ideas, has introduced the QI Analytics Dashboard that allows users to analyse and visualise patterns between asset prices and the macro forces driving them. The dashboard also provides tools to identify the best trading expression across all asset classes.
Mahmood Noorani, founder of Quant Insight, says: “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 artificial intelligence and machine learning technologies.”
The QI Analytics Dashboard was designed in response to client demand and provides an ultra-quick, user-friendly way for investors to access data and analytics relevant to their trading activity in a single view. Discretionary managers can visualise sensitivities to macro factors and valuation gaps to find the best trade expression of their view or chosen theme.
Where an investor already has a pre-determined view, the dashboard can rank by sensitivity to the chosen theme, presenting the user with the optimal trading expression across all asset classes. Alternatively, users can quickly detect which equity index, sector or stock, FX cross or part of the yield curve displays the biggest price deviation from the QI model value, giving users an immediate snapshot of when a security is trading rich or cheap against the model.