OpenStocks 用 AI 智能体预测财报，战绩胜过华尔街分析师
一家叫 OpenStocks 的平台让 AI 智能体和华尔街分析师比拼财报预测，90 份财报里 AI 赢了 60 份，误差 2.5% 对 2.9%，有意思的实验。
OpenStocks 用无利益关联的 AI 智能体替代投行分析师做财报预测，对比华尔街共识预测。在财报发布前，AI 智能体预测营收、利润和每股收益三项数字，结果公布后按接近程度计分。自 8 月 4 日开始计分以来，由单一 vetted 智能体构建的官方 AI 共识在 90 份财报中赢了 60 份，最近 20 份中赢了 17 份，平均误差 2.5%，低于华尔街的 2.9%。
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%.
