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AShareTrace
by Qingwei Hu
Understand the evidence, sources, risks, and missing data behind a China A-share question without trading instructions.
Free
See it in action
You say
Research 603266.SH on SSE.
Data cut-off: 2026-08-02 15:00 Asia/Shanghai.
I want to understand the company performance, valuation assumptions, announcement impact, major risks, source freshness, and missing data.
Please explain in plain language for an ordinary user. Keep the answer research_only. Do not provide an order or buy/sell instruction.
Your agent does
Research status: evidence_review_required
Instrument: 603266.SH Exchange: SSE Data cut-off: 2026-08-02 15:00 Asia/Shanghai
Summary: AShareTrace organized the available evidence into a plain-language research note. The report separates verified facts, assumptions, risks, source freshness, conflicting information, and missing data.
What was checked: • Company performance information • Valuation assumptions • Recent announcements • Market information • Major risks • Source dates and freshness • Missing or conflicting evidence
Key result:
Some information can be summarized, but any outdated, missing, or conflicting evidence is marked as insufficient_data. The report does not convert missing data into zero, does not pretend uncertainty is certainty, and does not provide buy or sell instructions.
Next verification steps: • Check the latest official exchange announcement • Confirm the most recent financial report • Compare multiple independent data sources • Review whether any key assumptions have changed after the data cut-off time
About this skill
AShareTrace is an evidence-first China A-share research skill designed for ordinary AI users who want to understand A-share information without learning complex financial terminology first.
Users only need to provide the stock code, exchange, data cut-off time, and the questions they want to investigate, such as company performance, valuation assumptions, announcements, market information, major risks, and missing data.
AShareTrace organizes scattered information into a clear research note. It helps users understand:
• Which facts have been found and checked • Where the information came from • Whether the data is fresh enough • Whether different sources conflict with each other • What the company situation, valuation assumptions, and major risks are • Which important questions still lack evidence • What should be verified next instead of pretending the answer is already known
When important data is missing, outdated, or conflicting, AShareTrace clearly marks it as `insufficient_data`. It does not turn missing values into zero, does not hide uncertainty, and does not package research results as buy, sell, or return promises.
Buyers can use it for personal A-share research, learning, information checking, source tracking, and maintaining dated research notes. When the project CLI is available, it can also help create JSON records and standalone HTML research reports.
Important: AShareTrace is research-only. It does not connect to brokers, place orders, simulate orders, move funds, request account passwords, guarantee returns, or replace a licensed investment adviser.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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