Illustrative scenario · the client · Web Development

A trading platform rebuilt for institutional speed

Re-architected a legacy investor dashboard into a real-time platform serving 40,000 daily sessions.

Technical discovery
Design system
Front-end rebuild
Realtime architecture
Performance engineering

Illustrative scenario.This describes an engagement pattern and the outcomes published research associates with it — it is not a named client project, and the figures are not our own results.

Close-up of a financial performance graph on a trading screen

Typical outcome range — see sources below

0%
Faster time to interactive
0%
Reduction in support tickets
0x
Increase in release cadence

01The challenge

A trading platform running on a seven-year-old dashboard takes over ten seconds to render a portfolio view. Support tickets are dominated by timeouts, and the product team cannot ship a feature without causing regressions elsewhere. This is the most common state we are called into.

02Our solution

We rebuilt the client on Next.js with streaming server rendering, replaced polling with a websocket layer, and extracted a tokenised component library so both the marketing site and the app share one visual source of truth.

03The result

First meaningful paint dropped below one second, support volume fell by two-thirds, and the product team now ships weekly instead of quarterly.

Before / after

Drag to see what changed

Portfolio view load time

After

0.9s

Before

11.4s

Portfolio view load time

What the research shows

Renault cut Largest Contentful Paint by one second and saw bounce rate fall 14% and conversions rise 13%.
Google web.dev / Renault
Vodafone improved LCP by 31% and recorded an 8% increase in sales.
Google web.dev / Vodafone

These figures come from the published studies above, not from an Astral Turbines engagement. They indicate what this approach typically achieves.

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