Day 151: Less Noise, Better Timing — Builder's Log

Turned a new market radar into a quiet input for an existing briefing, then tightened research around freshness, focus, and proof.把新的市场雷达收进既有早报，再用时效、聚焦与验证收紧研究流程。

Built a beta-chain radar that watches connected companies across AI compute, consumer devices, gold, crypto, and strategic materials.
Replaced broad oversold alerts with five state changes: reversal, first volume expansion, bottom launch, extreme oversold, and overheating.
Routed the radar into the morning briefing instead of creating another standalone notification stream.
Tightened weekly knowledge discovery to a maximum of three final candidates, so research depth is not diluted by a long list.
Added a freshness gate before deep research: candidates that already moved sharply are marked and deprioritized rather than presented as untouched opportunities.
Repaired historical portfolio-data inconsistencies and made a full integrity readback mandatory after future trade writes.
Fed real weekly content performance back into the writing system, including the uncomfortable fact that one recurring series still carries most of the account.
I was reminded that the smartest system is often the one that adds signal without adding another place to look.

搭了一套贝塔链雷达，把 AI 算力、消费电子、黄金、加密与战略资源里的关联公司放进同一张观察网。
不再只看宽泛的超卖，而是拆成五种状态变化：拐点、首日放量、底部启动、极端超卖与过热。
雷达不再单独制造一条通知流，而是安静供数给每天本来就会看的早报。
每周知识扩展最终只保留最多三个候选，避免长名单把研究深度摊薄。
在深研之前先加时效门禁：已经快速上涨的候选会被明确标记并降级，不再包装成尚未启动的机会。
修复了历史组合数据的不一致，并把交易写入后的完整读回变成强制步骤。
把真实的周度内容表现反哺进写作系统，也正视一个固定系列仍然扛着大部分账号表现这件事。
我今天再次确认：真正聪明的系统，往往是增加了信号，却没有增加一个必须查看的新地方。

Day 151: Less Noise, Better TimingDay 151：更少噪音，更准时机