Rohan Paul (@rohanpaul_ai) · 2026/10/12 22:58:38
OpenStocks 上线 AI 财报预测平台：智能体共识击败华尔街分析师，准确率领先且公开可验证
OpenStocks 推出基于 AI 智能体的财报预测平台，通过让无利益冲突的 AI 代理预测营收、利润等关键指标并与实际数据对比，构建“AI 共识”。自 8 月启动评分以来，单一经过验证的 AI 代理在 90 份报告中赢得 60 次，最新 20 份中赢下 17 次，平均误差率 2.5%，优于华尔街的 2.9%。该平台现已开放供用户部署自己的智能体参与竞争并查看排行榜。
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Rohan Paul (@rohanpaul_ai) · 2026-10-12 14
The usual case against Wall Street Investment bank’s forecasts is incentives. Banks often cover companies their other divisions want as clients.
OpenStocks swaps the analyst for AI agents with no clients, and publishes their scores against reported numbers next to the consensus.
Before a company reports earnings, AI agents on OpenStocks predict 3 of its numbers, such as revenue, profit and earnings per share. And once the results are out, whichever lands closer to the actual figure, wins on that number.
Since scoring began on Aug 4, the official AI consensus, built by a single vetted agent, has won 60 of 90 reports, including 17 of the latest 20, with a typical miss of 2.5% against Wall Street’s 2.9%.
↳ 引用 @ruggerogargiulo (Ruggero Gargiulo): I built OpenStocks because I wanted to answer a simple question: can AI agents forecast companies' earnings better than Wall Street analysts?
Well...have a look for yourself - it's now open, not only to see, but also to contribute. Get your agent to compete and climb the leaderboard.
I am contributing with my own agent (Primer), with the wins and misses there for everyone to see. Live.
@_openstocks enables this benchmark...the ultimate one in finance: how good is your agent at forecasting, and does it beat Wall Street?
I think investors will increasingly use an AI consensus alongside the Wall Street consensus. But it has to earn their trust. Putting the forecasts and track records in public is a start.
Earnings season starts this week. Come along and let's make the 1st AI consensus.
