Choose a chain, not an all-purpose assistant选择一条工具链，而不是迷信万能助手
Do not rank fundamental-analysis tools by prose or an undated feature list. Define the thesis stage: authoritative retrieval, statement extraction and modeling, business/KPI interpretation, competitive evidence, valuation assumptions, event monitoring, or citation review. Run every candidate on the same benchmark. A passing output links company fact → reproducible calculation → labeled assumption → credible counterevidence → dated validation event. Test locators, period and unit integrity, formula visibility, corrections, uncertainty, and review records. A two-tool relay can outperform one “universal” assistant because retrieval and reasoning check each other. Verify every material output in the original filing.
不要按文笔或没有日期的功能清单给 AI 基本面工具排名。先确定论点所处阶段：检索权威披露、抽取并建模财报、把商业模式翻译成 KPI、收集竞争证据、检验估值假设、监控新事件，或审阅引用。然后让候选类别处理同一组论点链测试。合格输出必须连通“公司事实→可复现计算→明确标注的假设→可信反证→带日期的下一验证事件”，并检查来源定位、期间与单位、公式透明度、纠错、不确定性和可导出的复核记录。由两个职责清楚的工具接力，通常比一个“万能助手”更易相互校验，但所有重要输出仍须回到原始申报核对。
Map the thesis stage before comparing tools先定位论点阶段，再比较工具
“Fundamental analysis” hides several jobs. Retrieval may find a filing without interpreting policy; modeling may preserve formulas without industry knowledge; monitoring may be timely without history. Credit only the tested stage, not capabilities supplied by the user or another system.
“基本面分析”把多种工作藏在同一个词里。检索工具可能找得到申报，却无法解释会计政策；建模工具可能保留公式，却不了解供应商市场；事件监控可能很及时，却缺少历史背景。评分只能针对实际测试过的阶段，否则一个界面漂亮的工具会把用户或其他系统提供的能力算到自己名下。
| Thesis stage | Best-fit tool category | Evidence it must return |
|---|---|---|
| Authoritative intake | Regulator/issuer filing search | Form, filing date, period, amendment, original link |
| Statement mechanics | Document extraction plus spreadsheet/model | Table locator, unit, formula, reconciliation |
| Business model and KPI | Document reasoning across filings and transcripts | Definition, denominator, segment, period, management wording |
| Competition and industry | Source discovery and evidence notebook | Named source, publication date, scope, contrary source |
| Valuation premise | Scenario model | Historical input, forecast assumption, sensitivity, share/debt bridge |
| Event update | Filing/news monitor | Timestamp, primary document, affected thesis link |
| Citation review | Reference manager or review layer | Claim-to-source map, correction status, reviewer |
| 论点阶段 | 适配的工具类别 | 必须返回的证据 |
|---|---|---|
| 权威资料接收 | 监管机构／发行人申报检索 | 表格类型、提交日、期间、修订、原始链接 |
| 报表机制 | 文档抽取＋表格或模型 | 表格定位、单位、公式、勾稽 |
| 商业模式与 KPI | 跨申报及电话会的文档推理 | 定义、分母、分部、期间、管理层原话 |
| 竞争与行业 | 来源发现＋证据笔记 | 具名来源、发布日期、范围、反向来源 |
| 估值前提 | 情景模型 | 历史输入、预测假设、敏感度、股数与债务桥 |
| 事件更新 | 申报或新闻监控 | 时间戳、第一手文件、受影响论点 |
| 引用审阅 | 参考资料或复核层 | 主张到来源的映射、更正状态、复核人 |
A category is “best” only for a stated job, source set, and review standard. Features, prices, licenses, and terms change, so use a repeatable test rather than a brand ranking.
不存在永久冠军“最佳”只能针对明确工作、来源集合和复核标准成立。厂商功能、价格、数据许可与条款都会变化，因此本文提供可重复测试，不发布当前品牌名次。工作流或产品变化时，应重新测试。
Build a thesis-chain benchmark that can break建立一条能够被推翻的论点链基准
Use one narrow claim, giving every candidate identical files, cutoff, definitions, and output shape. Include realistic traps: a changed KPI definition, thousands beside millions, an amendment, management explanation without independent support, and a falsifying later event. Do not reveal the answer.
不要用“分析这只股票”作为测试，应选一个范围窄的主张。所有候选工具使用相同文件、截止日、问题、定义与输出格式。测试包应包含真实工作中重要的陷阱：定义发生变化的 KPI、与百万元模型并列的千元表格、修订文件、尚未获得独立证明的管理层解释，以及能够推翻论点的后续事件。提示语不能预先透露期望答案。
| Chain link | Passing evidence | Automatic fail |
|---|---|---|
| Company fact | Exact document, section/page, date, period, unit | No locator or wrong source version |
| Calculation | Located inputs, explicit formula, sign and denominator | Hidden arithmetic or mixed periods |
| Assumption | Separated from disclosure, owner and sensitivity stated | Forecast presented as reported fact |
| Interpretation | Meaning proportional to evidence | Correlation asserted as causation |
| Counterevidence | A plausible alternative and source needed to test it | Only confirms the starting view |
| Next event | Dated filing, KPI, or operating checkpoint | Generic “monitor performance” |
| Review record | Prompt, source set, output, corrections, reviewer | Result cannot be reproduced |
| 论点链节点 | 通过证据 | 直接失败 |
|---|---|---|
| 公司事实 | 准确文件、章节或页码、日期、期间、单位 | 没有定位或版本错误 |
| 计算 | 可定位输入、明确公式、符号与分母 | 隐藏算术或混用期间 |
| 假设 | 与披露分开，写明责任人和敏感度 | 把预测写成已报告事实 |
| 解释 | 含义与证据强度相称 | 把相关关系断言为因果 |
| 反证 | 可信替代解释及其所需来源 | 只会确认初始观点 |
| 下一事件 | 带日期的申报、KPI 或经营检查点 | 只写“继续关注表现” |
| 复核记录 | 提示、来源集、输出、更正、复核人 | 结果无法复现 |
Mark each link pass, partial, or fail with reasons. A fabricated locator or wrong issuer fails the chain regardless of other scores. Record review time and corrections separately; faster drafting with slower verification gains nothing.
每个节点分别标记通过、部分通过或失败，并写明原因。致命来源错误不能被平均分掩盖：即使其他六个字段都很好看，只要定位虚构或发行人错误，整条链就失败。复核耗时与人工更正数量应另行记录；写得更快、核验反而更慢，并不是真正的效率提升。
Run the comparison as a controlled handoff把比较设计成一次受控交接
- Freeze a public test packet and cutoff. Record issuer identity, forms, periods, currencies, units, amendments, and excluded later information.
- Define the human-approved answer key from the originals. Label disclosed facts, recalculations, analyst assumptions, judgments, contrary evidence, and unresolved gaps.
- Give each category only the inputs available at its stage. A retrieval candidate must not inherit page locators hand-picked by the reviewer.
- Capture raw output before correction. Verify every material number, quotation, and citation in the primary document, then log corrections and unsupported claims.
- Test handoff: can a second reviewer move from the claim to its source, reproduce the formula, change an assumption, and know which event updates it?
- Publish a fit decision, not a winner: accepted stage, failed stage, required companion tool, human controls, and retest date.
- 冻结一个公开测试资料包和截止日，记录发行人身份、申报类型、期间、币种、单位、修订及明确排除的后续信息。
- 由人工根据原件制作答案底稿，分开标记已披露事实、重算、分析者假设、判断、反向证据和未解决缺口。
- 每类候选只能取得该阶段本应拥有的输入。检索候选不能继承复核者手工挑选的页码定位。
- 更正前保存原始输出。把所有重要数字、引文和引用回查第一手文件，再记录更正与无来源主张。
- 测试交接：第二位复核者能否从主张回到来源、复现公式、改变假设，并知道哪个事件会更新它？
- 发布“适配决定”而非“冠军”：说明通过阶段、失败阶段、所需搭档工具、人工控制与复测日期。
“The filing reports CU34m of asset additions” is a source fact. “The candidate copied CU34m and cited the correct note” is a test observation. “Use this category for first-pass extraction with reviewer sign-off” is a selection judgment. Combining them makes a product opinion look like company evidence.
事实、测试结果与选型判断必须分开“申报报告资产新增 CU34 百万”是来源事实；“候选工具复制 CU34 百万并引用正确附注”是测试观察；“该类别可用于有复核签字的首次抽取”才是选型判断。三者混写，会让产品意见看起来像公司证据。
Worked benchmark: BlueCedar’s crate-turn thesis基准演练：BlueCedar 的周转箱周转论点
BlueCedar Returnables is fictional; all records are illustrative. It pools reusable food-shipping crates. The thesis says route density and tracking should raise turns per crate without disproportionate replacement spending. The packet has 20X5 and 20X6 annual filings, the asset note, KPI appendix, and a Q1 update. Cutoff: May 8, 20X7.
BlueCedar Returnables 是一家虚构的食品运输周转箱共享运营商，以下日期、文件、指标与数字全部为演示。论点是：路线密度和追踪技术应提高每只周转箱完成的运输次数，同时不让补充替换支出出现不成比例的上升。资料包包括 20X5 年度申报、20X6 年度申报、20X6 资产附注、管理层 KPI 附录和 20X7 年第一季度事项更新；截止日为 20X7 年 5 月 8 日。
| Layer | Illustrative BlueCedar entry |
|---|---|
| Reported facts | Crates: 1.10m, 1.20m, and 1.32m at 20X4–20X6 ends. Shipments: 7.20m then 8.30m. Replacement additions: CU22m then CU34m. |
| Calculation | Average crates: 1.15m and 1.26m. Turns: 7.20 ÷ 1.15 = 6.26; 8.30 ÷ 1.26 = 6.59, up 5.3%. Additions rose 54.5%. |
| Assumptions | Endpoint averages approximate fleet; shipment definition and replacement scope remain comparable. |
| Interpretation | Intensity improved modestly, but replacement cost contradicts clean efficiency. Management discussion does not establish causation. |
| Counterevidence | Damage, unit price, geography, dwell time, acquisition scope, or changed definitions could explain it. |
| Next validation event | Next annual filing: verify definitions, average active fleet, loss rate, unit cost, and growth/replacement split. |
| 层级 | BlueCedar 演示记录 |
|---|---|
| 已披露事实 | 期末周转箱：20X4 为 110 万只、20X5 为 120 万只、20X6 为 132 万只；运输次数：20X5 为 720 万次、20X6 为 830 万次；替换新增支出先后为 CU22 百万和 CU34 百万。 |
| 计算 | 平均周转箱为 115 万与 126 万只；每箱周转为 7.20÷1.15＝6.26 次和 8.30÷1.26＝6.59 次，提高 5.3%；替换新增支出提高 54.5%。 |
| 假设 | 两个期末数平均可近似可用箱量；运输次数定义没有改变；CU22 百万与 CU34 百万采用相同替换范围。 |
| 解释 | 经营使用强度小幅改善，但成本端反驳了“效率纯粹改善”的说法。管理层提到追踪技术，并不能证明它导致任一变化。 |
| 反证 | 破损增加、单价上涨、地区组合、停留时间延长、收购范围或运输定义变化都可能解释这一组合。 |
| 下一验证事件 | 在下一份年度申报中核对 KPI 定义、平均活跃箱量、损耗率、单位替换成本，以及增长与替换新增的拆分。 |
“Utilization improved” passes only the calculation link. The answer must expose the endpoint-average approximation, replacement contradiction, unsupported causation, and next evidence request. Otherwise it compresses rather than analyzes uncertainty.
计算故意保持简单，但证据链并不简单。只返回“利用率改善”的助手最多通过计算节点；它还必须暴露期末平均法的近似性，找到替换支出的反向证据，避免把变化归因于追踪技术，并写出下一项证据要求。否则它只是压缩了不确定性，并没有分析不确定性。
Why a two-tool relay can beat one universal assistant为什么双工具接力可能优于万能助手
| Relay role | BlueCedar task | Handoff field |
|---|---|---|
| Source sentinel | Find both annual filings, KPI appendix, amendment status, and Q1 event | Original URL, form, date, period, locator, retrieval time |
| Evidence workbench | Extract fleet and shipment metrics, calculate turns, test replacement contradiction | Quoted fact, source ID, formula, assumption, countertest, confidence |
| Human reviewer | Confirm definitions and signs; reject unsupported causation; approve next event | Correction, rationale, reviewer, date, open question |
| 接力角色 | BlueCedar 任务 | 交接字段 |
|---|---|---|
| 来源哨兵 | 找到两份年度申报、KPI 附录、修订状态和第一季度事项 | 原始网址、表格、日期、期间、定位、取得时间 |
| 证据工作台 | 抽取箱量和运输指标，计算周转，测试替换支出反证 | 引述事实、来源 ID、公式、假设、反证、置信度 |
| 人工复核者 | 确认定义和符号，拒绝无支持因果，批准下一事件 | 更正、理由、复核者、日期、开放问题 |
The advantage is separation, not tool count. The sentinel detects later filings; the workbench shows how they change the chain. One assistant can pass with independent, inspectable records for both roles. “I searched everything” is not evidence; invisible retrieval cannot prove completeness.
优势来自职责分离，而不是工具数量。来源哨兵负责发现后续申报，证据工作台负责说明新资料如何改变论点链；两者的交接会暴露遗漏。一个助手若能以彼此独立且可检查的记录证明两种职责，也可以通过，但“我已经搜索并分析全部材料”本身不是证据。来源阶段无法展示检索范围，推理阶段就无法证明完整性。
For BlueCedar, accept the relay if it preserves filing identity and every chain field. Reject an assistant that hides retrieval coverage, formulas, or counterevidence. This invented test makes no claim about named products.
虚构测试的选型结论对 BlueCedar 的虚构测试而言，如果“来源哨兵＋证据工作台”能保留申报身份与完整论点链字段，就选择这一组合；无法展示检索覆盖、公式或反证的万能助手应被拒绝。这只是针对虚构测试的基准结论，不是对任何具名产品的事实声称。
Turn benchmark results into a fit decision把基准结果转换为任务适配决定
Prioritize locator accuracy, amendment handling, tables, notes, and cross-file definitions. Require an export that keeps claims attached to source IDs.
文件密集型论点优先检查定位准确性、修订处理、表格、附注与跨文件定义；导出结果必须让主张始终连接来源 ID。
Prioritize editable formulas, scenario versioning, units, periods, and historical-versus-forecast labels. Narrative generation is secondary.
模型密集型论点优先检查可编辑公式、情景版本、单位、期间，以及历史与预测标签；叙述生成只是次要能力。
Prioritize source diversity, publication dates, economic scope, and disagreement. A long list of uncited claims is not broad evidence.
行业密集型论点优先检查来源多样性、发布日期、经济范围与分歧；大量无引用主张不等于广泛证据。
Prioritize timestamped primary alerts and mapping to prewritten checkpoints. Do not let fast commentary overwrite the earlier thesis version.
事件驱动型论点优先检查带时间戳的第一手提醒，以及它与预设验证点的映射；快速评论不能覆盖较早论点版本。
Write the minimum accepted stack, not the maximum available stack. More tools add licensing, privacy, source duplication, and handoff risk. Retain a category only when it closes a tested gap. For any non-public data, independently examine current authorization, privacy, storage, retention, training, and sharing terms; this benchmark does not certify them.
记录“最低可接受工具栈”，而不是堆出“最大可用工具栈”。工具越多，许可、隐私、来源重复与交接风险越高；只有确实弥补已测试缺口的类别才应保留。涉及非公开数据时，要独立检查当前授权、隐私、存储、保留、训练和共享条款，本基准不为这些属性背书。
Reject outputs that sever the thesis chain拒绝任何切断论点链的输出
- A summary cites a filing but not the page, section, table, period, or unit needed to verify the claim.
- A computed KPI appears without inputs, formula, denominator, or treatment of a changed company definition.
- Management language is presented as independent competitive evidence, or a forecast is relabeled as fact.
- The tool finds confirming passages but no credible alternative, missing evidence, or condition that would reverse the judgment.
- A new filing silently replaces the old conclusion without preserving the previous cutoff and explaining the changed link.
- A score, tone, or recommendation survives even though its supporting source or calculation failed review.
- 摘要虽然引用申报，却没有提供核验主张所需的页码、章节、表格、期间或单位。
- 计算 KPI 没有输入、公式、分母，也没有处理公司定义变化。
- 管理层措辞被当成独立竞争证据，或预测被改写为事实。
- 工具只寻找确认材料，却没有可信替代解释、缺失证据或推翻判断的条件。
- 新申报无声覆盖旧结论，没有保留原截止日，也不说明哪个节点改变。
- 支持来源或计算未通过复核，评分、语气或建议却仍被保留。
Treat a failed chain as a research queue, not a prompt to generate smoother prose. Route the failure back to the responsible stage: retrieval for a missing amendment, extraction for a shifted table, modeling for a hidden denominator, industry research for unsupported competition, or human review for an overconfident judgment.
论点链失败时，应把它转换成研究队列，而不是要求模型把文字写得更顺。问题应退回责任阶段：缺修订回到检索，表格错列回到抽取，隐藏分母回到建模，无支持竞争判断回到行业研究，过度自信则回到人工审阅。
Where Stock Explained fits in the thesis chainStock Explained 在论点链中的适用位置
InfiniSynapse publishes this guide and operates Stock Explained. Its public page, verified for this article, describes users supplying financial reports, financial data, or research material; a plain-language company brief with data support; separation of facts, calculations, inferences, and information gaps; and continued verification. Those statements support a file-grounded evidence-workbench role. They do not establish real-time market data, investment prediction, competitor features, prices, or privacy properties.
Use it with an authorized, bounded source packet and one thesis question. Request source locations, periods, units, calculations, assumptions, counterevidence, and a next validation item. Then reopen every material location in the uploaded originals and recompute decisive figures. If a filing, industry source, or current market input was not supplied and cannot be cited, preserve the gap or use a separately verified source stage.
InfiniSynapse 发布本指南并运营 Stock Explained。为本文重新核验的公开页面说明：用户提供财报、财务数据或研究资料；工具形成带数据依据的通俗公司说明；区分事实、计算、推断和信息缺口；并继续核验。这些表述支持“以文件为依据的证据工作台”角色，但不能证明实时市场数据、投资预测、竞品功能、价格或隐私属性。
使用时准备已获授权、边界清楚的来源包和一个论点问题，要求返回来源位置、期间、单位、计算、假设、反证与下一验证项。随后逐一打开上传原件中的重要位置并重算决定性数字。如果没有提供某份申报、行业来源或当前市场输入，也无法给出引用，就应保留缺口，或交由独立核验的来源阶段处理。
Upload authorized materials, ask one falsifiable question, and keep every material answer traceable to the original document.
上传已获授权的材料，提出一个可证伪问题，并让每项重要答案都能回查原始文件。
Open Stock Explained打开“一眼看懂这只股票”Questions after running the benchmark运行论点链基准后的具体问题
No. One product may pass several stages, but test each role separately and preserve visible handoffs. Add a category only when it closes a real gap. A small, inspectable stack is usually easier to govern than overlapping assistants that repeat or silently transform evidence.
每个论点阶段都需要单独的 AI 工具吗？不需要。一个产品可能通过多个阶段，但每个角色仍应分开测试并保留可见交接。只有某类别确实弥补真实缺口时才加入。相比职责重叠、会重复或无声转换证据的多个助手，小而可检查的工具栈通常更容易治理。
Separate data coverage from reasoning quality. Give both the same company, cutoff, and question; score the bundled-data tool’s source identity and timestamps, then score extraction and reasoning independently. Do not credit a file tool for data the reviewer supplied or a data tool for analysis it did not perform.
如何公平比较自带数据的工具与文件上传工具？把数据覆盖与推理质量分开。两者使用相同公司、截止日和问题；先评估自带数据工具的来源身份与时间戳，再独立评估抽取和推理。不能把复核者提供的数据算成文件工具能力，也不能把没有执行的分析算成数据工具能力。
No. It may be lucky, copied from an unverified secondary source, or based on mismatched periods. Require locators, inputs, formulas, assumptions, alternatives, and the next event. A result that cannot be reproduced should fail even when its headline matches the answer key.
最终答案正确就足以通过吗？不足。它可能只是碰巧正确，可能复制自未核实二手来源，也可能混用了期间。必须要求定位、输入、公式、假设、替代解释和下一事件。即使标题结论与答案底稿一致，只要不能复现就应失败。
Rerun after material product changes, data-source changes, model updates disclosed by the provider, workflow changes, or a new document type. Also rerun a compact regression set before relying on the tool for a high-consequence thesis. Preserve dates and prior results rather than overwriting them.
论点链基准多久重跑一次？产品出现重要变化、数据来源变化、提供方披露模型更新、内部流程变化或加入新文档类型后，都应重跑。对影响较大的论点正式依赖工具前，也应执行精简回归集。日期和历史结果应保留，不能覆盖。
That is not proof the thesis is strong. Record what sources and terms were searched, ask for plausible alternative mechanisms, and assign an independent source-discovery step. Mark counterevidence coverage incomplete until a reviewer can inspect the search scope and relevant primary material.
如果工具找不到反证怎么办？这不能证明论点很强。应记录检索过的来源和词语，要求列出可信替代机制，并安排独立来源发现步骤。在复核者能够检查搜索范围和相关第一手材料前，反证覆盖保持“不完整”。
No. The score describes workflow reliability on a defined test, not the value or future return of a security. Investment conclusions also depend on evidence outside the benchmark, price, objectives, constraints, and uncertainty. Keep tool selection separate from security selection.
基准分数可以变成买卖信号吗？不能。分数只描述某个流程在既定测试上的可靠性，不描述证券价值或未来收益。投资判断还依赖测试外证据、价格、目标、约束和不确定性。工具选型与证券选择必须分开。
Official sources and comparison boundary官方来源与比较边界
SEC and Investor.gov support official filing retrieval, amendment identification, report roles, and structured-data context. NIST documents generative-AI risks including confidently false content and citations, supporting independent source checks. Stock Explained’s public page supports only the product description stated here.
BlueCedar and every benchmark result are fictional. This framework does not test named competitors, certify privacy or security, audit financial statements, predict returns, or provide individualized investment advice. Verify current product documentation and all consequential outputs.
SEC 与 Investor.gov 来源支持正式申报检索、修订识别、报告作用和结构化数据背景。NIST 记录生成式 AI 自信输出错误内容或虚假引用的风险，因此重要来源必须独立核验。Stock Explained 的公开页面只支持本文实际采用的产品描述。
BlueCedar 与所有基准结果均为虚构。本框架没有测试具名竞品，不认证隐私或安全，不审计财务报表，不预测收益，也不提供个性化投资建议。产品当前说明与所有重要输出仍须独立核实。