Fintech8 months engagement

Prop Trading Platform

End-to-end QA for a proprietary trading platform handling real-time market data, trader evaluations, and automated payout processing across web and mobile. The platform served thousands of active traders who relied on accurate profit calculations to determine their payouts. QA was critical because even a small rounding error in the evaluation engine could cascade into incorrect payouts across the entire user base.

WebAPIMobileFunctional QAPerformance TestingAPI Testing

Critical bugs caught

99.8%

Payout accuracy

5K+

Concurrent sessions

The Challenge

Rule Engine Complexity

Over 40 distinct evaluation rule configurations determined pass/fail outcomes. A single calculation bug in profit splitting or drawdown rules could cost significant revenue and erode trader trust.

Timezone Sensitivity

A previous incident where a timezone mismatch caused trades to be evaluated against wrong-day price data had resulted in disputed payouts across the user base.

Payment Integration

The payout system integrated with Stripe and multiple crypto wallets, each with edge cases around refunds, partial payouts, and failed transactions.

Weekly Release Cadence

The engineering team shipped every week, meaning regression coverage had to keep pace with rapid feature development without becoming a bottleneck.

Tools Used

Playwright

Postman

GitHub Actions

Grafana

TypeScript

Playwright

Postman

GitHub Actions

Grafana

TypeScript

Our Approach

How We Tested This Project

Architecture Review

We reviewed the trading engine codebase, identified the highest-risk components, and mapped every data flow from trade execution to payout calculation. This gave us a clear picture of where bugs would cause the most financial damage.

Test Framework Setup

Built a custom Playwright automation suite covering 200+ test scenarios across the trading dashboard, admin panel, and payout system. We integrated it into GitHub Actions so every pull request ran the full regression suite before merge.

Load and Stress Testing

Simulated realistic trading patterns with 5,000+ concurrent sessions to validate that P&L calculations stayed accurate under heavy load. We specifically tested scenarios where trade volume spiked during market open and close windows.

Continuous Regression

Maintained and expanded the test suite weekly to match the engineering team release cadence. We added monitoring dashboards in Grafana to track payout accuracy metrics and catch regressions in real time.

Scope

What We Tested

01Trading evaluation rule engine accuracy across 40+ rule configurations

02Real-time P&L calculation under concurrent load with sub-second latency requirements

03Payment gateway integration (Stripe, crypto payouts) including refund and partial payout flows

04Drawdown and risk management rule validation with edge cases around market close boundaries

05Cross-browser dashboard testing across Chrome, Firefox, Safari, and Edge

06API load testing under 5,000+ concurrent sessions with realistic trade patterns

07Timezone handling for trade evaluation windows across global markets

08WebSocket connection stability for real-time price feed updates

09Admin panel payout approval workflow and bulk processing

10Account state transitions from evaluation to funded to payout-eligible

Impact

Results & Business Impact

Zero Critical Defects

V2 evaluation engine launched with zero critical defects, processing 50,000+ evaluations in month one with no calculation errors.

40% Fewer Tickets

Support tickets related to payout disputes dropped by 40%, and trader retention rate increased by 25%.

Uninterrupted Releases

The weekly release cycle continued without interruption throughout the entire engagement.

12 Bugs Pre-Production

Automated regression suite caught 12 high-severity bugs before they reached production.

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