Real-Time Financial Analytics Dashboard
High-performance analytics dashboard for a London FinTech startup processing real-time market data with AI-powered insights, serving institutional clients across the UK.
01The Challenge
FinTech Innovations provides portfolio risk analytics to independent wealth managers and smaller investment firms. Their previous reporting system required analysts to export CSV files, run Excel models, and email reports — a process taking 4-6 hours per client per week. Clients were demanding real-time visibility into portfolio exposure and risk metrics, and the manual process was limiting how many clients the team could serve.
02The Solution
Prodevel built a real-time analytics platform with a React frontend using D3.js for interactive chart visualisations. The backend uses Python FastAPI with a TimescaleDB time-series database for historical data and Redis pub/sub for streaming live market data via WebSocket to client browsers. An AI analysis layer uses GPT-4o to generate plain-English risk summaries from portfolio data, replacing the manual analyst commentary. Role-based access controls let each institutional client see only their own data.
03Results
- Manual reporting time reduced by 50% — from 5 hours to 2.5 hours per client per week
- Live portfolio data now visible with under 200ms latency
- Platform serving 150+ institutional client accounts
- AI-generated risk summaries rated "accurate or better" by 94% of clients in initial survey
- New client onboarding time reduced from 2 weeks to 3 days
- FCA audit trail requirements met through automated immutable logging
Tech Stack
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