Global Stock Research Platform Case Study | Variance
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Work / Product development

A dividend stock research platform, built from 70,000 scattered records.

Variance designed and built the data pipeline, database architecture and web interface behind iDividendStocks.com, a global stock and ETF discovery platform. The finished system turns raw market data into structured company pages that are fast to search, compare and read.

Pieter Obedjin, iDividendStocks·Four milestones·Data and frontend
iDividendStocks stock page showing dividend history for ASML
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The challenge

A large, inconsistent universe of global securities.

Raw market data had to be pulled from an external API, filtered down to relevant stocks and ETFs, enriched with company information, then turned into content fit for a public website.

The platform also needed an architecture that could carry tens of thousands of pages without making discovery slow or awkward. Company descriptions had to stay short and consistent, while the underlying records had to support search, filtering and future expansion.

The solution

One workflow, from ingestion to published page.

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Technology
Data engineering, API integration, AI content processing, database and frontend development.
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The interface

Screens from the live product.

Stock page with a full dividend history table
Stock page
Dividend history, type, amount, pay date and yield per security.
Dividend per year bar chart
Dividend per year
Total against interim dividend, charted per year.
Dividend calendar listing upcoming ex-dividend dates
Dividend calendar
Upcoming ex-dividend and pay dates, browsable by day.
Side by side stock comparison page
Comparison pages
Two securities side by side across price, revenue and profit.
Article page with table of contents and key takeaways
Editorial template
Long-form explainers with contents, takeaways and inline links.
Tablet view with the navigation menu open
Tablet and mobile
The same tables and navigation, reflowed for smaller screens.

What was delivered.

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Outcome

A foundation that grows without manual work.

The result is a scalable base for a global investment research site: one system that converts a large financial dataset into structured, discoverable web content.

Instead of creating and maintaining thousands of pages by hand, the platform uses automation to keep processing consistent and growth manageable. The modular architecture also leaves room for screening, comparison, portfolio and market analysis features later.

More case studies.

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