One plan. Everything in.

7-day free trial. Cancel any time — $0 if you cancel before day 7.

SkyView Pro
$99/mo
or $831.99/yr (~$69.33/mo, save 30%)
Start 7-day free trial
Secure checkout via Stripe · cancel any time
Heatmap
  • Live GEX/VEX dealer-positioning map
  • 79 boards (SPX, SPY, QQQ, NDX, IWM + 74 single names)
  • 4 views: Chart with beaded dealer levels, Levels, Multi-expiry, Grid
  • 60-second refresh during market hours
  • 0DTE mode for SPX day-traders
Read + alerts
  • Plain-English read of every board — regime, walls, flip — every 60 seconds
  • Alerts to your browser and the members' Discord
  • Ask SkyView — AI chat about the board you're looking at
  • Glossary and worked examples for first-time options traders
Options Flow
  • Campaigns board — repeated hits on one contract, fill at ask, opening vs closing
  • GEX-overlay verdict per print (absorbed / accelerated)
  • Search any ticker on-demand
  • Notable prints table (size + side + sweep detection)
Tools
  • Ask SkyView — AI chat about your account
  • Alerts to your browser + the members' Discord (auto Pro role)
  • Macro calendar (FOMC, CPI, NFP, OPEX)
  • Public track record — levels and setups graded after the close

Pricing FAQ

What happens during the 7-day trial?+

Card required at signup (Stripe prevents abuse). $0 charged for 7 days. Cancel any time from /account → Billing portal — pay nothing if you cancel before day 7. On day 8, your card is charged $99 (or $831.99 if yearly).

Can I cancel anytime?+

Yes. /account → Open billing portal → Cancel. By default Stripe sets cancellation for end of billing period so you keep access until the time you already paid for.

Monthly vs yearly?+

Yearly is ~30% off effective monthly (works out to $69.33/mo). No long-term commitment beyond the period you bought.

Refunds?+

Trial cancellation = $0 charged, no refund needed. Past-trial refunds case-by-case — email hi@skyviewlabs.io.

SkyView provides educational market research and tools. Not personalized investment advice. Options involve risk and aren't suitable for everyone. Past performance does not guarantee future results.