Fund analytics
Full fund pages: point-to-point, rolling and calendar returns, drawdowns, distributions, capture ratios, look-through holdings, and manager history.
Case study
Institutional-grade fund, stock, and portfolio research for India's mutual-fund distributors and investment advisers — designed, built, and operated end to end by ARK Angel Labs.
Overview
NGEN Markets is a subscription platform for Indian mutual-fund distributors and registered investment advisers. It turns published NAV, price, and holdings data into the analytics an institutional desk would expect — and because it also pulls each advisor's real client book in from the registrars, the same engine runs on actual client portfolios. It replaces the patchwork of spreadsheets, AMC factsheets, and consumer comparison sites that advisors otherwise rely on.
ARK Angel Labs delivers the platform end to end: product design, automated data pipelines, the analytics engine, the web application, AI integration, and day-to-day operations — including white-label deployments that run under a bank's or enterprise's own brand and domain.
Capabilities
Full fund pages: point-to-point, rolling and calendar returns, drawdowns, distributions, capture ratios, look-through holdings, and manager history.
ngenQuartiles ranks every fund within its peer group at each month-end on 21 metrics, with quartile history and a published methodology.
Filter the entire Indian mutual-fund universe by category, AMC, size, age, returns, Sharpe, and VaR — as of today or any past month-end.
Funds, stocks, category averages, and whole portfolios side by side, with overlaps, correlations, and portfolio optimisation.
Step-up SIPs, withdrawal sustainability solvers, and rolling analysis that replays a plan from every start month in history.
Advisors' real client books flow in from the CAMS and KFintech registrars and parsed CAS statements, valued daily.
Client-ready PDF, PowerPoint, HTML, and Excel reports plus mobile-friendly share links — all under the advisor's own brand.
Live intraday, daily, and weekly market commentary and monthly fund summaries — generated from the platform's own data and clearly labelled.
In the product
Engineering
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We design, build, and operate systems like this end to end.
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