Slow at market open
The legacy dashboard struggled under peak load, so traders waited for numbers exactly when speed mattered most.

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An investment desk relied on spreadsheets and a legacy dashboard that slowed down at market open. Modernising it meant live data they could trust, without interrupting trading.
Investment desk at a mid-sized asset manager
Delivered in agile sprints alongside live trading. Real-time web dashboard on cloud infrastructure.
Portfolio managers and traders were stitching together prices, positions and risk from a legacy dashboard and a collection of spreadsheets. At the busiest moments of the day, the tools were at their slowest.

The legacy dashboard struggled under peak load, so traders waited for numbers exactly when speed mattered most.
Critical calculations lived in personal spreadsheets with no version control, creating risk of errors and inconsistent figures.
Positions, prices and risk came from different systems, so teams often debated whose numbers were correct.
Any new system had to be introduced without interrupting live trading or retraining the whole desk overnight.
We worked side by side with traders and portfolio managers to understand their daily workflow, then rebuilt the dashboard in stages so the desk could switch over with confidence.
Shadowed the desk at market open and close to identify the views, calculations and alerts that mattered most.
Consolidated market data, positions and risk feeds into one validated data layer so every screen shows the same numbers.
Built fast, customisable web dashboards with streaming prices, live P&L, exposure views and configurable alerts.
Deployed on auto-scaling cloud infrastructure designed for peak-hour load, with encryption and role-based access.
Ran the new dashboard alongside the old one, reconciled the numbers, then moved teams over one at a time.
The desk now works from one fast, reliable view of the market and its positions, including during the busiest trading periods.
The dashboard stays responsive at market open and during news-driven spikes in activity.
Traders, portfolio managers and risk teams all see the same validated figures in real time.
Key calculations moved out of personal spreadsheets into tested, version-controlled code.
The parallel run let the desk adopt the new tools without pausing trading.

Faster, more reliable data gave the desk more time for analysis and more confidence in every decision.
This case study describes a representative Fortgate engagement. Client names and confidential details are withheld; ask us for references from completed work.
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