Ourea Systems
Technology to Power your Wealth Management Business
Project overview
Ourea Systems is Technology to Power your Wealth Management Business. Ourea, is the data engine to power all your business needs. Built with high standards for performance, security, and intuitive user experiences, the platform is engineered to support mission-critical workflows and seamless scale.
What was the problem or pain point
Client Dilemma & Technical Bottleneck
Ourea Systems, an emerging quantitative trading and asset management boutique, struggled with disparate market data feeds, manual reconciliation of trade orders, and delayed portfolio risk analysis across global equity and derivative markets. Portfolio managers had to log into multiple broker portals, manually download CSV reports, and calculate VaR (Value at Risk) on spreadsheets, exposing the firm to severe execution lag and compliance vulnerabilities during periods of extreme market volatility.
What we suggested to the client
Solid Sphere Architectural Recommendation
Solid Sphere recommended building a unified, institutional-grade portfolio management and algorithmic order routing system. We proposed ingesting real-time FIX protocol feeds into a high-speed relational and in-memory caching architecture, providing automated pre-trade compliance checks, real-time portfolio risk metric computation, and a responsive executive trading cockpit with live P&L streaming.
What made this project challenging
Consolidating fragmented custodian feeds, private equity, and multi-asset wealth management data
Providing institutional-grade portfolio performance reporting with complex fee schedules
Ensuring bank-grade SOC 2 compliance and encrypted audit logging for family offices
Delivering sub-second calculation of internal rate of return (IRR) across historical transactions
What was implemented and how it was implemented
Step-by-Step Technical Execution
We developed a centralized financial management application using React on the frontend and Ruby on Rails for the core business and risk calculation engine. We built automated integrations with prime brokerage APIs and market data providers, parsing live tick data and normalizing order execution reports in real time. We implemented a financial analytics module that computes portfolio beta, Sharpe ratio, and Value at Risk using Monte Carlo simulations, displaying dynamic visualizations on custom React dashboards. Redis was introduced to cache streaming quotes and order books, while PostgreSQL maintained the immutable financial ledger of all fills, allocations, and trade confirmations. Strict role-based security, multi-factor authentication, and automated FINRA/SEC audit logging were embedded into the platform.
How we delivered
Engineered multi-custodian data aggregation pipeline normalizing automated financial data feeds
Developed interactive React portfolio dashboard with asset allocation breakdowns and risk heatmaps
Built automated client PDF statement generator supporting custom branding and compliance disclosures
Implemented granular role-based permissions separating family office principals and advisors
What did we use to implement it
Technology Stack & Technical Rationale
React delivered a low-latency, modular trading cockpit with interactive financial charts and quick-key trade execution controls. Ruby on Rails handled complex portfolio accounting, trade reconciliation, and compliance rules. PostgreSQL provided ACID-compliant transactional persistence for trade allocations and audit logs. Redis cached live market price ticks and order states with sub-millisecond retrieval. AWS VPC with private peering ensured secure, encrypted financial data transmission.
Key outcomes
Over $2B in client wealth tracked across platform
Reduced monthly statement generation time from days to minutes
SOC 2 Type II certified infrastructure
100% calculation accuracy across multi-currency assets
Have a project like this?
Share your goals and constraints. We'll respond with next steps and a practical proposal.