We received such a positive response from the Alpaca community for the first edition of The Weekly Roundup that we’re excited to do it again! Several builders shared what they are creating with our APIs and trading infrastructure with the help of AI, agents, and code. 

These posts show how the community is thinking beyond one specific strategy or product. Some are testing AI-assisted trading systems. Others are exploring execution controls, open-source architecture, behavioral finance concepts, and investing workflows connected to Alpaca.

What the Alpaca Community Is Building

  • @Christophe Fischer shared lessons from building automated stock trading systems listing Alpaca as the trading account with his tech stack including Streamlit, GitHub Actions, and AI tools. His post focuses on keeping the stack simple, testing AI outputs against real data, and reviewing blind spots throughout the build process. 
  • @Gregory Lebedev shared an analysis of agentic trading infrastructure and the design choices that emerge when AI systems move closer to execution workflows. His post compares human approval, direct API execution, permissions, controls, and traceability when agents interact with trading infrastructure.
  • @Chen Meng shared an example of an AI-assisted trading workflow built using Alpaca. The post provides a look at how individuals are experimenting with AI-assisted trading systems and monitoring their activity.
  • @Frank Huber released ArtificialAlpha  an open-source framework with source code,  architectural layouts, and integrations with tools including Alpaca. The project includes modules for market analysis, and a dashboard, while inviting the community to review and build on the framework.
  • @Seyed Alireza Alhosseini Almodarresieh created Financial Aikido AI, a concept that combines behavioral AI, open banking, and algorithmic trading APIs such as Alpaca. The project explores potential workflows connecting spending information with investment-related technology. 
  • u/CaseLivid4116 shared Coil, an agentic trading system that analyzes S&P 500 and Nasdaq-100 securities using Alpaca’s SIP historical data and Claude Code. The post describes its analysis methodology and system architecture,, with live trading disabled by until users choose to enable it using their own brokerage keys.

Use Cases from the Alpaca Community 

We’ve worked with several more community members to showcase how they’ve used Alpaca’s APIs to bring their ideas to life. Below are deeper dives into what they built and what they learned while developing trading systems, AI workflows, backtesting tools, and interactive dashboards connected to Alpaca.

For readers looking to learn from other builders, here are a few examples:

Building with The Alpaca Community

At Alpaca, we focus on being the agent-first infrastructure layer behind builders. Our APIs help developers, traders, and builders develop applications that connect to market data, trading, account activity, and financial workflows.

If you are building something with Alpaca’s APIs, tag us on LinkedIn or X, or drop a post in the /alpacamarkets Subreddit or Slack Community. We’d love to feature your project in a future edition of the Community Weekly Blog.

Alpaca’s AI Tools for Building

We’ve also been building features and products to support AI and agentic trading with Alpaca’s infrastructure. Check out Alpaca’s Skills Library for AI Agents, MCP Server, and CLI and our latest post on MCP Servers for Broker API partners for more.

Sign Up for an Account

If you’re looking to get started with Alpaca, sign up for Alpaca’s Trading API account, connect to Alpaca’s Trading API, and start paper trading.

Please note that this article is for educational and general informational purposes only. The examples and independent community projects referenced are provided for illustrative purposes only and do not constitute an endorsement or recommendation by Alpaca. The views and opinions expressed are those of the respective authors and do not reflect or represent the views and opinions of Alpaca. Alpaca does not recommend any specific securities or investment strategies. Testimonials and examples are not indicative of future performance or success.

AI-assisted and automated trading systems involve additional risks, including inaccurate or incomplete outputs, system or connectivity failures, and unintended trading activity. Automated systems should be independently tested and monitored before being used for live trading. Information generated by third-party AI tools or accessed through Alpaca’s CLI or MCP Server is for educational and informational purposes only should not be considered investment advice. All firms mentioned operate independently and are not liable for one another.

The Paper Trading API is offered by AlpacaDB, Inc. and does not require real money or permit a user to transact in real securities in the market. Providing use of the Paper Trading API is not an offer or solicitation to buy or sell securities, securities derivative or futures products of any kind, or any type of trading or investment advice, recommendation or strategy, given or in any manner endorsed by AlpacaDB, Inc. or any AlpacaDB, Inc. affiliate and the information made available through the Paper Trading API is not an offer or solicitation of any kind in any jurisdiction where AlpacaDB, Inc. or any AlpacaDB, Inc. affiliate (collectively, “Alpaca”) is not authorized to do business.

Alpaca does not prepare, edit, or endorse Third Party Content. Alpaca does not guarantee the accuracy, timeliness, completeness or usefulness of Third Party Content, and is not responsible or liable for any content, advertising, products, or other materials on or available from third party sites.

Hypothetical or backtested results do not represent actual trading and have inherent limitations. They do not guarantee future results, and actual results may differ materially.

All investments involve risk, and the past performance of a security, or financial product does not guarantee future results or returns. There is no guarantee that any investment strategy will achieve its objectives. Please note that diversification does not ensure a profit, or protect against loss. There is always the potential of losing money when you invest in securities, or other financial products. Investors should consider their investment objectives and risks carefully before investing.

Securities brokerage services are provided by Alpaca Securities LLC (dba "Alpaca Clearing"), member FINRA/SIPC, a wholly-owned subsidiary of AlpacaDB, Inc. Technology and services are offered by AlpacaDB, Inc.

This is not an offer, solicitation of an offer, or advice to buy or sell securities or open a brokerage account in any jurisdiction where Alpaca Securities is not registered or licensed, as applicable.