Case study · TradeZeit
Cross-Platform Trade Journal App
In just 12 weeks, Cirql Labs delivered a high-performance, cross-platform journaling app for TradeZeit. From one-click CSV imports to behavioral dashboards and real-time visualizations, the platform enables traders to build discipline and gain insights through data.
- Industry
- B2C Fintech SAAS
- Team
- 10+ Employees
- Location
- India
- Build time
- 12 weeks
Results
3x
User Growth in 3 Months
Platform scaled from early adopters to 1,500+ active users post-launch
65%
User Retention Rate
High engagement driven by mobile-first journaling and visual insights
80%
Reduction in Support Tickets
CSV parsing and auto-tagging reduced onboarding friction and manual errors
70%
Improved Operational Efficiency
Automated trade imports and analysis eliminated the need for manual reviews
1 Week
Time-to-Insight
Users identified patterns and emotional traps within minutes instead of hours.
01
The challenge
Before TradeZeit, traders relied on spreadsheets and notepads to manually track their trades — a time-consuming, error-prone process with no structure. Reviewing more than a few pages was overwhelming, and there was no way to analyze performance by time, setups, or behavior. Traders lacked a scalable system to reflect on mistakes, emotions, or patterns, leading to inconsistent habits and missed insights.
- Traders spent hours reviewing trades using cluttered Excel sheets.
- No emotional tagging or behavior tracking, limiting psychological growth.
- Lack of visual performance insights made pattern recognition nearly impossible.
- Existing solutions weren't optimized for mobile use, limiting accessibility during market hours.
- No centralized system to track setups, mistakes, or session-based performance across time.
02
What we built
Cross-Platform App Architecture
Built with React and CapacitorJS, enabling seamless access across web and mobile with a unified codebase optimized for speed and responsiveness.
Landing Page Deployment in 1 Week
Crafted using TailwindCSS and Gatsby, deployed via Vercel for instant scalability and performance.
High-Performance Visual Dashboards
Interactive, real-time analytics using D3.js and Canvas for smooth rendering of trade performance, time-based trends, and pattern insights.
Behavior-Aware Journaling System
Custom tagging engine for setups and emotional states, integrated with note-taking and ML-ready architecture for future insights.
Modular API Architecture with CSV Parsing
Node.js-based backend with auto-ingestion of trade data via CSV upload, enabling structured journaling in seconds.
03
Stack
- React Native
- Zustand
- TanStack
- Django
- Python
- Postgres
- AWS S3
- AWS EC2
- Auth0
- Mixpanel
- Google Analytics
- Astro
- Next.js
- Vercel
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