OpenStocks 用 AI 智能体预测财报，90 次中胜出 60 次
The usual case against Wall Street Investment bank’s forecasts is incentives. Banks often cover companies their other divisions want as clients.
OpenStocks 用无客户利益的 AI 智能体替代华尔街分析师预测财报，自 8 月 4 日计分以来，由单一审核智能体构建的官方 AI 共识在 90 份财报中胜出 60 次，最近 20 次中胜出 17 次。其典型误差为 2.5%，低于华尔街的 2.9%。该平台已开放，用户可提交自己的智能体参与竞争并登上排行榜。
查看原帖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…
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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. https://t.co/CQqbzUhlWf
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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%.