Wealth Management & Investment Signals Platform
Developed by R. Paulo Delgado.
Transforming a Proprietary Investment Methodology into a Commercial WealthTech Platform
Client Context
The client was a high-net-worth private investor based in Germany with a successful prior exit. Over more than 30 years, he had developed a highly disciplined, rules-based investment methodology focused on commodities and pricing signals.
Despite the sophistication of the methodology itself, it existed only as fragmented, error-prone Excel spreadsheets. There was no scalable system, no automation, and no reliable way to monitor markets consistently or act on signals at frequency.
The client's initial goal was modest: bring structure and reliability to a personal investment process. Over time, the quality and consistency of the resulting system revealed a much larger opportunity.
Client identity is withheld under NDA.
The Problem
The client faced a fundamental constraint: There was no system.
Key challenges included:
Manual, non-scalable workflows
Each trading symbol required extensive manual effort, often exceeding an hour per symbol, with a high risk of human error.
Structural fragility
The Excel-based approach was impossible to extend. Even small changes introduced errors or broke existing logic.
No real-time visibility
Monitoring markets at scale was infeasible. The methodology could not be applied consistently or frequently enough to support disciplined execution.
No foundation for commercialization
Without a reliable, auditable, and secure platform, the methodology could not be shared, productized, or monetized.
This was not a case of improving an existing system. It was a case of building the first real system from scratch.
The Solution
I partnered with the client to translate decades of implicit domain expertise into a production-grade software platform.
The solution addressed several architectural focus areas:
- 1
Stabilization of the core logic
I began by cleaning, rationalizing, and validating the original Excel-based logic to establish a trustworthy baseline.
- 2
Automated signal monitoring
A backend system was built to ingest market pricing data at regular intervals and apply the proprietary methodology consistently across all tracked instruments.
- 3
Cloud-based architecture
The platform was migrated to Microsoft Azure to support availability, reliability, and access across multiple devices and environments.
- 4
Scalable data processing
Advanced financial calculations were implemented using a combination of technologies appropriate to the domain, with Python-based components integrated where specialized data processing was required. All results were persisted in a SQL database to ensure historical accuracy and traceability.
- 5
API-first design
A public-facing API was developed to expose validated investment signals securely and predictably.
- 6
Authenticated web application
A React / Next.js application was built on top of the API, providing users with dashboards, signal visibility, and trade oversight.
- 7
Commercial and content integration
The platform was integrated with a course platform and a Shopify-based D2C store, enabling seamless access to educational content, application features, and published material from a single central system.
Architecture & Technology
Core Platform
- Market data ingestion at 30–40 minute intervals
- Continuous signal evaluation across 60+ commodities
- SQL-based persistence layer for historical analysis
- Domain-specific technologies for advanced financial data processing
Reliability & Monitoring
- Health checks and runtime monitoring
- Alerting for ingestion or processing failures
- Push notifications, email alerts, and SMS notifications
Application Layer
- Custom-built REST API
- Third-party authentication provider
- React / Next.js frontend
- Secure dashboards for monitoring active positions and signals
Compliance & Operations
- GDPR-compliant data handling and system design
- EU-hosted cloud infrastructure
- Clear separation of internal processing and public access layers
Commerce & Education
- Shopify store integration
- Course platform integration
- Automated entitlement and access control
- Centralized application as the focal point of the business ecosystem
Execution & Delivery
The engagement evolved from exploratory work into a long-term technical partnership.
Key characteristics of delivery:
- Operated in a high-ambiguity environment with no predefined product roadmap
- Translated tacit financial expertise into deterministic, testable logic
- Iterated rapidly as strategic direction clarified
- Provided architectural guidance beyond pure implementation
- Delivered directly, with clear technical leadership
Rather than forcing premature structure, the platform was allowed to evolve organically until its commercial potential became clear.
Outcomes & Impact
- Enabled the client to monitor over 60 commodities with automated, near-real-time signal generation
- Eliminated manual analysis errors and dramatically reduced decision-making time
- Created the technical foundation for a newly formed German GmbH
- Supported the launch of a financial consulting and education business
- Unified software, education, and commerce into a single coherent platform
- Established a scalable foundation for future growth and user expansion
What began as a personal productivity initiative became a full-scale commercial platform.
Why This Project Matters
This project demonstrates the ability to:
- Build systems where none previously existed
- Work effectively with founder-led, domain-heavy clients
- Design platforms that evolve from internal tools into commercial products
- Deliver GDPR-compliant fintech systems in the EU
- Act as a long-term technical partner, not just a developer
Project Tags
- Germany
- C#
- .NET
- ASP.NET
- Next.js
- React
- SQL Server
- MongoDB
- Prisma
- Azure
- Python
- Dart
- Excel
- Excel VBA
- Shopify
- Webhooks
- User Authentication
- Amazon Advertising
- Facebook Advertising
- Shopify
- Shopify Webhooks
- Vercel
- High Availability
- WealthTech
- Finance
- Privacy
- Compliance
- Google Tag Manager
- Newsletter Intergration
- Email Marketing
- E-commerce
- Course Platform Integration
- Financial Data Processing
- Financial Signals
- Investment Signals
- Commodities Trading
- Financial Consulting
- Financial Education