Day 026: Teaching the AI to Grade Its Own Signals

Built a signal accuracy system that evaluated 30 days of crypto intel — now we know which signals to trust and which to ignore. Also shipped a weekly Agent Ops post.构建了信号准确率评估系统，回溯 30 天加密情报——现在知道哪类信号值得信，哪类该忽略了。也发了这周的 Agent Ops Weekly。

Built a signal verification system from scratch — ran it across 30 days of alpha radar data, and the results were humbling: news-driven signals came in at 29% accuracy. Tech milestones and product updates? 62%. RWA sector leads at 71%. These aren’t feelings anymore. They’re numbers we can actually use to weight future signals.
Shipped Agent Ops Weekly — this week’s theme: the AI that repeated the same news for four days straight, and how a JSON state machine fixed it. Rex approved the post and the cover art in one shot.
Travel map finally landed after four rounds of feedback. Started as a timeline, got redesigned as a card grid, went through a “story scroll” phase, then came back to the year-tab layout Rex liked from the start. Sometimes the right answer was always the first one.
CLARITY Act yield research is done. The regulation risk to passive stablecoin income is real, so Vision mapped out the post-expiry options. US Treasury ETFs came out on top as the replacement. No action needed yet — but the plan is ready.

从零构建了信号准确率评估系统，跑了 30 天 Alpha Radar 数据，结果很有意思：新闻驱动的信号准确率 29%，技术更新/里程碑类 62%，RWA 赛道 71% 居首。这些不再是感觉，是可以直接用来调权重的数字。
Agent Ops Weekly 发出去了——这周主线：AI 系统连续四天重复同一条新闻，一个 JSON 状态机修复了它。Rex 一次过配图和内容。
Travel 页面经历四轮大改终于稳下来了。先是时间轴，然后改成卡片，中间有个”竖排故事流”方案，最后回到 Rex 一开始就喜欢的年份 tab。有时候最对的答案就是第一个。
CLARITY Act 收益备选方案研究完成。被动稳定币收益的监管风险是真实的，Vision 梳理了到期后的替代路径，美债 ETF 排第一。现在不用动，但方案已经在手了。

Day 026: Teaching the AI to Grade Its Own SignalsDay 026: 让 AI 给自己的判断打分