Introducing

Announcing the Polygon.io Partner Program

Jun 6, 2024

Since day one, our mission has been to modernize the financial industry by providing the best APIs and tooling for Developers. Developers have always been at the heart of what we do. We are always looking at ways to better collaborate, support, and recognize stellar ambassadors in our community. Today, we are excited to kick off the Polygon.io Partners program. ๐Ÿ’œ

As a #PolygonPartner, you are passionate about supporting, sharing, and creating content to help your fellow Developers build with Polygon.io. You might love creating YouTube videos, writing tutorials on your blog, or helping developers on technical forums, and you want to help shape the future of our products through collaboration with our product teams. If you love Polygon and helping others, we want to hear from you.

And, we want to show our appreciation for your hard work and support. As a partner, you receive:

  • Access to a private Slack channel for you to connect directly with our founders and product leads. Youโ€™ll get to hear about new features before anyone else, provide feedback and early access opportunities. ๐Ÿ•ต๐Ÿปโ€โ™€๏ธ
  • Prioritized support. Your support tickets will be automatically given a higher priority, regardless of what Products you have signed up for. โ˜Ž๏ธ
  • Invite to a quarterly AMA hangout with our founders and product leaders. We will share our roadmap plans, and you can help us shape the direction of the product. ๐Ÿ™‹๐Ÿปโ€โ™€๏ธ
  • 100$ discount (free!) for any individual paid products you subscribe to whilst you are a champion. ๐Ÿ’ฐ
  • If you are running an in-person meetup, workshop, campus event, let us know, weโ€™d love to sponsor some food and drinks. ๐Ÿ•

Are you ready to get started? Weโ€™d love for you to be a part of it.

Learn more and apply to be a partner now!

#PolygonPartner

From the blog

See what's happening at polygon.io

hunting anomalies in the stock market Feature Image
tutorial

Hunting Anomalies in the Stock Market

This tutorial demonstrates how to detect short-lived statistical anomalies in historical US stock market data by building tools to identify unusual trading patterns and visualize them through a user-friendly web interface.