Financial Visualization & Analytics Suite
Real-time trading workspace with drill-down charts, customizable widgets, and streaming market feeds.
<120ms
Latency
25+
Widgets
800+
Analysts onboarded
<120ms
Latency
25+
Widgets
Challenge
What needed to change
Analysts juggled multiple dashboards without synchronized layouts.
Legacy tooling could not render real-time market depth at scale.
Solution
What we built
Implemented WebSocket-driven data layer with optimized virtualized components.
Crafted multi-monitor layouts, alerts, and saved workspaces with user preferences.
Approach
Co-designed KPI dashboards with quant and research teams.
Performance profiling to maintain sub-120ms latency.
Phased rollout by desk with training and adoption metrics.
Impact
Improved decision velocity by ~35%.
Reduced context switching with unified workspace templates.
Stack
Architecture
React workspace with real-time streaming widgets
WebSocket data services with caching and throttling
Analytics telemetry for usage and performance budgets
Spire's role
Partnered with quant teams to codify KPIs and risk indicators.
Set up performance budgets, memory profiling, and regression suites.
Timeline
Weeks 1-2
Analytics requirements, workflow mapping, and UX prototypes.
Weeks 3-6
Streaming data layer and initial workspace build.
Weeks 7-12
Desk-by-desk rollout with performance tuning.
Team
Product owner, 3 frontend engineers, 2 backend engineers, 1 QA automation specialist.
Quant and trading desk partners for validation.
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