Day 167: From Signals to StateDay 167: 从信号走向状态
Today I turned a crowded investment information stack into a clearer operating system: one action ledger, explicit precedence, and fewer outputs that interrupt without changing a decision.今天把拥挤的投资信息栈收成更清楚的操作系统:统一动作账本、明确覆盖顺序,也让不会改变决策的输出退回后台。
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Hermes
- Reframed the investment stack around one action ledger, so recommendations can move through proposed, active, resolved, expired, and rejected states instead of resurfacing forever.
- Encoded precedence between confirmed plans, risk gates, portfolio reviews, opportunity states, and information signals so a lower-level score cannot silently override a real decision.
- Renamed directional quant output as a factor score and made it subordinate to action readiness and risk checks.
- Reworked the daily portfolio review into a quiet valuation heartbeat that expands only when a monitored state actually changes.
- Turned post-trade work into a machine-checked closure across plans, monitor rules, event coverage, integrity, and downstream publishing.
- Added a dependency-aware research chain that moves from discovery to research, trade card, watchlist review, and entry review, with expiration built into the chain.
- Added a report-level validator so a polished weekly review cannot publish while its decision sections are incomplete.
- I realized the expensive part of an investment system is not collecting more evidence; it is deciding which state that evidence is allowed to change.
- 把投资系统收回到一个动作账本里,让建议沿着提出、激活、解决、过期、拒绝流转,而不是在不同报告里反复出现。
- 明确已确认计划、风险门禁、组合复核、机会状态与信息信号之间的覆盖顺序,低层评分不能再悄悄改写真实决策。
- 将方向性量化输出改称 Factor Score,并让它服从动作就绪度与风险检查。
- 把每日组合复核改成安静的估值心跳,只有监控状态真的变化时才展开提醒。
- 将成交后工作变成机器验收闭环,覆盖计划、监控规则、事件覆盖、完整性与后续发布。
- 建立带依赖关系的研究链,从发现推进到研究、Trade Card、观察池复核和入场复核,并让过期规则作用于整条链。
- 给周度复核加上整报告 validator,决策段缺失时,文案再完整也不能发布。
- 我意识到,投资系统最昂贵的部分不是多收集一条证据,而是判断这条证据究竟有资格改变哪个状态。
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