Product:TradePulse AI
Studio:GlobalJobify Product Studio
Objective
Deliver actionable market signals and portfolio alerts to retail traders through iOS and Android apps, with ML models retrained on a weekly cadence and push notifications users actually act on.
Scope of work
- Time-series feature pipeline and backtesting framework
- Model serving API with confidence scores and rate limits
- React Native apps with paper trading and broker sync
- In-app daily briefings and alert preferences
- App Store release pipeline and crash monitoring
Key deliverables
- TradePulse iOS & Android apps
- Signal API & admin retrain dashboard
- Push alert system with user segmentation
- Paper trading sandbox
- Growth analytics & cohort reporting
Team
- AI/ML engineering
- Mobile (React Native)
- Full-stack platform
- Product & growth
- QA & release ops
Stack
- Python · PyTorch · FastAPI
- Next.js admin & marketing site
- React Native · Firebase push
- PostgreSQL · Redis
- AWS · GitHub Actions CI
Risks & mitigations
| Risk | Mitigation |
|---|---|
| Model drift in live markets | Weekly retrain gates, shadow deployments, and automatic rollback on accuracy drops |
| Alert fatigue | Confidence thresholds, user segmentation, and digest modes |
| Mobile store rejection | Staged releases, compliance review checklist, and TestFlight beta cohorts |
Related questions
Project details
Product:TradePulse AI
Category:AI · FinTech
Users:40K+ active traders
Platforms:iOS · Android · Web
Ship cadence:Weekly releases
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