White-Label Partnership
Your brand. Hyperstock's engine.
Give your users institutional-grade AI options analysis—on your platform.
What Is White-Label
Hyperstock's full product stack—AI options analysis, Daily Picks, spread strategies, SPAN margin estimates—delivered under your brand.
Users see your name, your logo, your UI. We handle the tech, data, and maintenance.
You own brand and growth. We own engineering and iteration.
Who It's For
| Customer Type | Use Case | Value |
|---|---|---|
| Brokerages | Options analysis tools for traders | Higher retention and trading activity |
| Financial education platforms | Hands-on tools for students | Course + tool loop, better completion rates |
| Investment advisors / RIAs | Professional analysis for clients | Build trust, improve conversion |
| Financial media / communities | Interactive tools for readers | Longer sessions, new revenue streams |
| Independent developers | Launch options analysis fast | Save 6–12 months of dev time |
How Deep Can You Customize
Branding
- Custom domain (your domain)
- Logo replacement
- Full brand color palette
- Loading animation / welcome message
Features
- Modular feature set (e.g., Sell Put only, hide spreads)
- Layout adjustments
- Custom data presentation
- Bespoke features (on request)
Systems
- User system integration (OAuth / SSO with your auth)
- Payment integration (your checkout)
- Isolated data storage
- Optional on-premise deployment
Users Won't See Hyperstock Anywhere
From domain to UI to email notifications—100% your brand.
Only a single line deep in your terms of service if you choose: "Options analysis powered by Hyperstock."
Technical Delivery Standards
| Item | Details |
|---|---|
| Deployment | Dedicated container, resource isolation |
| Data storage | Dedicated DB instance—you own all user data |
| Domain / SSL | Your domain configured, auto-renewing HTTPS |
| Performance | Same SLA as main site (99.9%) |
| Security | Same protections (WAF / DDoS / encryption) |
| Updates | Main-site features sync automatically (optional delay) |
| Monitoring | Full ops monitoring with auto-alerts |
Partnership Models
Model A: Tech fee + revenue share
Best for platforms with monetization in place
Model B: One-time build + license + annual maintenance
Best for teams wanting predictable long-term costs
Model C: Usage-based, zero fixed cost, pay per analysis
Best for early-stage platforms with variable volume
Onboarding Flow
Step 1 · Discovery (3–5 days)
Tell us:
- Your brand and user base
- Which modules you need
- How user auth should integrate
- Desired UI direction
We deliver: Custom proposal + quote
Step 2 · Design Sign-Off (1 week)
We produce UI mockups with your brand assets. Once approved, development starts.
Step 3 · Build and Deploy (2–3 weeks)
- Custom feature development
- Your domain and SSL setup
- User system integration and testing
- Data migration (if existing users)
Step 4 · Test and Launch (1 week)
- Staging validation
- Your acceptance testing
- Go live
Total timeline: 4–6 weeks
Why Us vs. Building In-House
| Dimension | In-House Team | Hyperstock White-Label |
|---|---|---|
| Time to market | 6–12 months | 4–6 weeks |
| Team cost | At least 3–5 people (frontend + backend + quant + ops) | Zero engineering headcount |
| Data costs | $20K+/year (real-time options data) | Included |
| SPAN margin | CME licensing required | Ready to use |
| Ongoing maintenance | Dedicated staff | We sync updates automatically |
| Trial-and-error cost | High (wrong direction = start over) | Low (ship fast, validate fast) |
You save more than money—you save 6–12 months.
Existing Partners
"From first call to launch in 5 weeks. Our students now analyze options inside the platform—completion rates up 20%." — Founder, financial education company
"The white-label version looks completely native—users think we built it ourselves." — Head of Product, US trading platform
Let's Talk
Send an email with your use case and requirements.



Whether we partner or not—a conversation costs nothing.
Hyperstock White-Label — give your platform institutional-grade AI options analysis.
