FinFlow — Real-Time Wealth Analytics
A high-frequency institutional wealth analytics engine streaming millions of live market tickers with sub-15ms latency.
Client / Organization
FinEdge Capital
Sector / Domain
Financial Services & WealthTech
Delivery Timeline
5.5 Months
Deployment Status
Production Architecture & Interface Preview
High-frequency wealth management and algorithmic portfolio rebalancing dashboard engineered for institutional hedge funds and family offices.
FinEdge Capital required an ultra-low-latency analytics platform capable of streaming live global ticker data, computing multi-factor risk models, and executing algorithmic portfolio rebalancing without UI frame drops. Kas Denge architected a distributed event-driven system combining Next.js 15, WebGL-accelerated charting, WebSockets, TimescaleDB, and a compiled Go ticker processing pipeline.
< 15ms
Stream Latency
Sub-15ms tick latency during peak volatility
120k
Events/sec
Sustained event processing throughput
99.999%
Uptime SLA
Zero downtime across 12 months
62%
Compute Savings
Reduction in cloud infrastructure costs
Architecting for Mission-Critical Velocity
FinEdge Capital manages over $420M in alternative assets across multiple sovereign funds. Their existing legacy system suffered from noticeable latency spikes during high-volatility trading hours, leading to delayed decision-making. The mandate was clear: engineer a resilient, sub-second telemetry platform that delivers uncompromised speed, military-grade security, and an executive-level user experience.
Every component of FinFlow was engineered with high-throughput distributed principles. We eliminated latency bottlenecks, established clean modular component systems, and enforced automated CI/CD deployment pipelines for continuous delivery.
The Core Challenge & Architectural Solution
How we decomposed complex business bottlenecks into clean, scalable software architecture.
What Was Holding the Business Back
FinEdge Capital was struggling with a legacy monolithic portal that lagged during high-volatility market events, dropping frames during live tick bursts, frustrating institutional investors, and creating severe operational risks during rebalancing.
Key Technical Bottlenecks Faced:
How We Solved It With Rigorous Engineering
We engineered an edge-rendered Next.js dashboard backed by distributed WebSockets, WebGL chart rendering, and an ultra-low-latency Go microservice layer capable of processing 120,000 events/sec with zero browser freezing.
Architectural Pillars Implemented:
Key Architecture & Features Delivered
Specific, high-impact features built strictly for FinFlow's performance needs.
Sub-15ms Live Ticker Streaming
Binary WebSocket pipeline delivering real-time quotes, depth of market (Level 2), and order book data with zero stutter.
WebGL 60FPS Charting Engine
High-performance visual canvas supporting multi-indicator overlays, Fibonacci retracements, and tick-by-tick zoom.
Algorithmic Rebalancing Engine
One-click portfolio rebalancing with automated tax-loss harvesting calculations and smart order routing.
Institutional Audit & RBAC
Cryptographically signed compliance audit logs, trader permissions, and granular multi-sign transaction verification.
Measurable Results & Business Impact
Real performance telemetry and operational gains achieved after production launch.
< 15ms
Stream Latency
Sub-15ms tick latency during peak volatility
120k
Events/sec
Sustained event processing throughput
99.999%
Uptime SLA
Zero downtime across 12 months
62%
Compute Savings
Reduction in cloud infrastructure costs
Key Technical & Commercial Milestones
Sub-15ms data streaming latency achieved during peak global market trading hours
400% increase in daily active institutional trader engagement
100% zero downtime recorded across 12 consecutive months of continuous operation
Reduced server compute overhead by 62% through binary stream optimization
Technologies & Frameworks Selected
Tools chosen strictly for reliability, performance, low latency, and long-term maintainability.
Next.js 15 & React 19
Frontend Core
TypeScript
Language
Go (Golang)
High-Frequency Backend
WebSockets / WSS
Real-Time Protocol
TimescaleDB
Time-Series DB
PostgreSQL
Relational DB
Redis Cluster
Memory Cache
Docker & AWS ECS
Cloud Infrastructure
“Kas Denge took our slow, outdated analytics portal and transformed it into a lightning-fast powerhouse. Their engineering discipline and technical execution are truly world-class.”
David Sterling
Chief Technology Officer • FinEdge Capital
Key Project Contributors
Senior architects and engineers who led the delivery of this engagement.
Engineering Services Powering This Project
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