“Everyone who’s missing some components of the final shape of the application, they have to figure out how to add that very quickly,” said @iyoshyoshi, Alpaca’s Co-Founder and CEO in @FortuneMagazine.
With the announcement of our $150 million Series D yesterday, we’ll continue empowering partners to develop new products while giving traders faster connectivity on scalable, modern brokerage infrastructure.
“[Alpaca has] been able to essentially build an inventory, one of the largest, most impressive inventories that we’ve seen of any company on planet Earth,” said @ChrisOlsenCMH, Co-Founder and Partner at @DriveCapital, the lead investment firm in our Series D.
This moment was only possible because of the success of our partners, users, and community.
We’re excited to do even more for you this year, including:
✅ Strengthening our global investment infrastructure
✅ Expanding and enhancing our existing offerings
✅ Securing regulatory licenses in key jurisdictions
✅ Continuing to bridge traditional and decentralized financial systems
We’ll continue to work hard with discipline, advancing our mission to open financial services to everyone on the planet 🙏
Read our full feature in Fortune through the link in the comments.
ICYMI, 2025 was a monumental year for Alpaca! 🎉
From new product launches and deeper market infrastructure to partner growth and global expansion, we’re proud of what we were able to accomplish.
Here’s a look back at what we enabled across Alpaca.
When we built Alpaca’s MCP Server, the goal was simple: lower the barriers to algorithmic trading by utilizing AI.
The engagement from the trading community has been amazing.
Thank you, @jasonstrimpel, for featuring Alpaca’s MCP Server in @pyquantnews.
The harsh truth:
LLMs don’t work for trading.
Turns out, I was doing it wrong.
With MCP servers and Claude Code, AI is a game changer.
But even with MCP, it’s clunky.
Until now: