Daily Stock Analysis

v3.27.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 7d AI Coding Tools

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Topics

a-stock ai-agent aigc llm quant quantitative-finance

+1 more

quantitative-trading

Summary

AI summary

Updates 发布亮点, feat, and fix across a mixed release.

Changes in this release

Type	Severity	Summary	CVE
Feature
Feature	Low	Adds Codex App Server single-agent stock Q&A prototype with three read-only tools. Adds Codex App Server single-agent stock Q&A prototype with three read-only tools. Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds persistence for decision-style reassessment signals from historical report snapshots. Adds persistence for decision-style reassessment signals from historical report snapshots. Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Introduces first structured multi-strategy opinion contract with normalization and conflict detection. Introduces first structured multi-strategy opinion contract with normalization and conflict detection. Source: llm_adapter@2026-07-19 Confidence: high	—
Feature	Low	Adds US real-time PE/PB valuation fields via yfinance. Adds US real-time PE/PB valuation fields via yfinance. Source: llm_adapter@2026-07-19 Confidence: high	—
Bugfix
Bugfix	Medium	Fixes MiniMax reasoning content pollution in final JSON and handles `think` string wrappers safely. Fixes MiniMax reasoning content pollution in final JSON and handles `think` string wrappers safely. Source: llm_adapter@2026-07-19 Confidence: high	—
Bugfix	Low	Corrects multi-market tool descriptions and updates Anspire project information. Corrects multi-market tool descriptions and updates Anspire project information. Source: llm_adapter@2026-07-19 Confidence: high	—
Bugfix	Low	Documents macOS Gatekeeper installation troubleshooting steps. Documents macOS Gatekeeper installation troubleshooting steps. Source: llm_adapter@2026-07-19 Confidence: high	—
Other	Low	Clarifies report input diagnostics, data status, source, exceptions, suggestions, and diagnostic codes. Clarifies report input diagnostics, data status, source, exceptions, suggestions, and diagnostic codes. Source: granite4.1:30b@2026-07-19-audit Confidence: low	—

Full changelog

v3.27.0

发布亮点

feat: 新增 Codex App Server single-agent 问股实验原型，仅开放三个既有只读工具，并保持 LiteLLM、Multi Agent、普通报告、定时任务等默认链路不变。
feat: Web AI 建议页支持保存基于历史报告快照重算的决策风格信号，补齐 profile-aware 去重、续期、失效和可审计 guardrail 语义。
feat: 引入多策略观点结构化输出第一阶段契约，覆盖观点标准化、基础冲突检测、聚合元数据和报告兼容边界。
improve: 报告页明确展示输入数据状态、来源、异常影响、处理建议和诊断码，并区分页面资讯与本次分析输入。
fix: 修复 MiniMax 推理内容污染最终 JSON、字符串 <think> 包装兼容，以及多 Agent 风险覆盖后结论未按最终信号收敛的问题。
fix: 补齐美股实时行情 PE/PB 估值字段、多市场工具描述和 macOS Gatekeeper 安装排障说明。

What's Changed

Added an opt-in Codex App Server single-agent stock Q&A prototype with three existing read-only tools, while keeping LiteLLM, Multi Agent, regular reports, and scheduled tasks unchanged by default, by @massif-01.
Added persistence for decision-style reassessment signals derived from historical report snapshots, including profile-aware deduplication, renewal, invalidation, and auditable guardrails, by @massif-01.
Introduced the first structured multi-strategy opinion contract with normalization, basic conflict detection, aggregation metadata, and hardened report compatibility, by @xushengasd.
Clarified report input diagnostics and news scope, and finalized post-risk Agent runtime facts and decision summaries from the effective signal, by @ZhuLinsen and @ObVious55.
Fixed MiniMax reasoning/final-text separation and safe handling of string <think> wrappers so analysis JSON remains parseable and persistable, by @ZhuLinsen.
Added US real-time PE/PB fields through yfinance, corrected multi-market tool descriptions, updated Anspire project information, and documented macOS Gatekeeper recovery steps, by @ozturkoguzz, @xinzhifan4, and @ZhuLinsen.

Full Changelog

https://github.com/ZhuLinsen/daily_stock_analysis/compare/v3.26.1...v3.27.0

@ObVious55 @ZhuLinsen @massif-01 @ozturkoguzz @xinzhifan4 @xushengasd

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Earlier breaking changes

v3.20.0 Changes MiniMax default model to `MiniMax-M3`.