Alpaca AI Trading Agents Hackathon
Online Alpaca AI Trading Agents Hackathon on lablab.ai, Aug 28 to Sep 4, 2026, with $6,000 prize pool. Participants build autonomous AI trading agents and trading apps using Alpaca Trading API, MCP server and CLI. Fully online and joinable globally.
参赛资格 / Eligibility
Eligibility is Not specified in the provided page excerpt. The event is described as fully online and open to join and build from anywhere in the world. Team size, age, student or professional status, residency restrictions, and qualification requirements are Not specified. Registration process details beyond joining on lablab.ai are Not specified.
交付物 / Deliverables
Deliverables are Not specified in detail. Participants are expected to build AI trading agents and trading apps on Alpaca, described as autonomous agents using Alpaca Trading API, MCP server and CLI. Submission format, code repository requirements, demo video, write-up, live trading versus paper trading, and presentation requirements are Not specified.
评审 / Judging
Judging is Not specified in the provided page excerpt. Judging criteria, scoring weights, judges panel, evaluation process, and rounds are Not specified. Theme focus is next-generation algorithmic trading with AI trading agents, but detailed rubric is Not specified.
限制 / Constraints
Constraints partially specified: fully online global event; project must relate to AI trading agents on Alpaca using Trading API, MCP server and CLI. Event period Aug 28 to Sep 4, 2026 per page and structured data in UTC. Other technical restrictions, IP rules, use of paper trading, and eligibility restrictions are Not specified.
投入 / Effort
Estimate: medium effort over about 7 days. This is my estimate. Expect 2-4 person team spending evenings plus weekend to learn Alpaca API, prototype autonomous trading agent, test strategy, and prepare demo submission. Solo builders can participate but integration and testing will require extra time.
奖金 / Prizes
$6,000 prize pool advertised for the Alpaca AI Trading Agents Hackathon. Currency implied as USD from structured offer. Winner breakdown, number of awards, judging placement, cash versus credits, and payout conditions are Not specified.
lablab.ai