FinTrust AI HK US Stock Deep Research
Paste the following prompt into your AI chat to install this skill:
Please follow https://skillhub.cn/install/skillhub.md and install @org-qoa1dr8y/fintrust-deep-research.
About this skill
What problem it solves
HK/US stock research often comes from fragmented sources: quotes, filings, ratings, news, and web pages. Manual stitching easily misses sources, mixes metric definitions, and makes it hard to turn fundamentals, valuation, sector context, institutional views, and catalysts into one consistent, previewable report.
How it works
- Fixed primary path: when the intent matches deep research, valuation, earnings, institutional ratings, or comparable-company analysis, the skill completes one full report around a single security instead of answering from model memory.
- Data orchestration: it first resolves the symbol, then follows an
MCPresearch playbook to pull public data, usingwestock-data,neodata-financial-search, and web search to fill gaps. - Local rendering: charts are generated locally with
EChartsand embedded in anHTMLreport, with an absolute path provided for preview.
Boundaries
- It is for investment research analysis, not buy/sell recommendations, and not a replacement for real-time quotes.
- First use requires
FINTRUST_API_KEYactivation; if the key check fails, data collection, writing, and chart rendering stop. - Data uses a multi-source priority; non-critical single-source metrics may be omitted to avoid padding the report with empty sections.
Use Cases
- When reviewing AAPL quarterly results, compile revenue, profit, cash flow, ratings, and target price into an HTML report.
- When researching Tencent 00700, compare it with three peers on valuation, sector outlook, and competitive position in a previewable report.
- When assessing usAAPL, organize moat, catalysts, and risk signals from multiple sources into a conclusion-first deep analysis.
- When a user asks whether AAPL is worth studying, convert it into objective analysis of fundamentals, valuation, risks, and catalysts.
Best For
- HK/US equity research analysts who need to turn fundamentals, valuation, and institutional views into a deliverable HTML report.
- Buy-side research assistants who need to decompose post-earnings revenue, profit, cash flow, and catalysts into conclusion-first materials.
- Sector analysts who need to compare the company, peers, sector outlook, and competitive position with multi-source checks.
- Investment operations staff who need to compile ratings, target prices, and short interest/fund signals into a previewable research document.
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