A portfolio tracker gets a scalable analytics backend that syncs 500M+ price records
UK
Large-scale data processing
Real-time data sync
MVP to production
Mid-flight rescue
500M+ price records
Handled without
performance degradation
performance degradation
84 global exchanges
Continuous market
data synchronization
data synchronization
Performance engine
Returns based on real
transactions
transactions
Business context
Adonia La Camera set out to build a portfolio analytics platform for long-term investors that goes beyond price charts and shows how investments are actually performing.
His ProStock Tracker needed a backend that could keep a 500M+ price dataset current across 84 exchanges, and power performance reporting built on a custom methodology.
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“What impressed me most about Radency was their ability to handle complex challenges with ease. Their technical expertise, combined with their commitment to delivering high-quality solutions, set them apart.”
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A data-heavy portfolio tracker on a fragile foundation
Adonia built the frontend in Bubble.io and outsourced the backend. The code he got back was hard to maintain. Every change caused regressions, while every testing round revealed a new batch of bugs he kept spending money to fix. A demo-ready product was nowhere in sight. It needed a refactored backend, built for syncing and reporting on massive market data
INVESTIGATION
Hourly market data jobs
COVERAGE
84 Exchanges &250K+ Holdings
SCALE
500M+ price records
CALCULATIONS
Reports Across Thousands of Prices
Radency forms a dedicated backend team
A solution architect and full-time backend engineer were ready to ship Prostock Tracker’s backend
01
Scope locked, delivery plan set
Based on Adonia’s requirements, we scoped the backend for reporting, validation, user management, and the API layer to connect the Bubble.io frontend.
02
Senior-led execution, lean team
Our solution architect worked day-to-day with a full-time engineer. We briefly added one more engineer, then returned to the core setup.
03
API-first backend in 6 months
We delivered a maintainable NestJS backend with REST APIs so the UI could reliably load portfolio, performance, and report data.
04
Hourly support mode on
After the main scope, we switched to hourly support to refine the product based on demo feedback as Adonia started promoting it.
Results: a stabilized and ready-to-scale backend
500M+ price records supported
Built and stabilized the backend data layer to store and serve the full price history database.
300–500 ms data preparation
The time it takes for the backend to prepare and return the data for performance reports called by a user.
Hourly data synchronization
Set up reliable background jobs to refresh prices (and related events) hourly across 84 exchanges.
Refactor + tests to stop regressions
Refactored core modules and added tests so new changes didn’t keep breaking existing functionality.
From an unstable backend to a platform ready for the spotlight
Adonia started demoing ProStock Tracker to customers and investors and officially launched in 2024. In 2025, the product was nominated for the Global Startup Awards
Before
Bug-prone, unmaintainable backend that broke with each change
No reliable ongoing market data synchronization
Product not ready for demos or real usage
After
Refactored, test-backed backend that could be extended safely
Hourly synchronization processes feeding a large price database of 500M+ records
Working platform connected to the frontend via stable APIs and report logic
ProStock Tracker, a portfolio analytics platform that shows how your assets are earning
Prostock Tracker covers 30+ years of historical data and supports 250,000+ holdings, backed by a 500M+ price dataset. The platform does the tricky math to turn raw market and portfolio data into performance reports: it applies buys/sells, dividends, and corporate actions (like splits) so returns reflect what actually happened to user’s money, not just price fluctuations
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01
Hourly market data synchronization
Background processes pull and refresh market data, keeping a 500M+ price dataset up to date across 84 exchanges.
02
Performance report
A custom money-weighted rate of return model calculates performance to reflect the user’s actual investment journey.
03
Benchmarking
Reports compare portfolio performance against ETFs, indices, and other benchmarks, helping assess strategy and calculate alpha.
04
Income and corporate automation
Automated handling of dividends/income and splits/reverse splits keeps holdings history and performance calculations consistent.
05
Portfolio and holdings tracking
A single view consolidates stocks, ETFs, mutual funds, crypto, and forex, with reporting that supports multi-currency portfolios.
06
Analysis workflow: filters and export
Advanced filters help explore report views, with export-ready outputs for further analysis or sharing.
“Radency built a robust backend capable of processing large volumes of financial data while delivering accurate portfolio analytics and reports. Their team handled complex APIs, data synchronization across global exchanges, and heavy data workloads with impressive technical depth.”
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Adonia La Camera
Founder and CEO of ProStock Tracker
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They have exceeded expectations in terms of value for money, professionalism, and quality.
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They really took the time to understand our project and asked the right questions.
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