MiaoXiang Financial Data | Financial Market Data
Query real-time A-share market data, financial indicators, shareholder relationships, and other stock financial data.
What Is MiaoXiang Financial Data?
MiaoXiang Financial Data (妙想金融) is an automated financial market intelligence and shareholder relationship analysis skill on EasyClaw. Designed specifically for equity analysts, compliance officers, and retail investors tracking China's A-share equity markets, it connects with live financial databases to retrieve real-time stock prices, detailed financial indicators (such as P/E and P/B ratios), and multi-layered shareholder ownership structures through a simple conversational interface.
The skill is built for equity research teams compiling corporate audits, compliance leads mapping parent-subsidiary relationship graphs, and investors tracking financial performance ratios.
The expected outcome is rapid, high-fidelity corporate intelligence: structured stock price snapshots, detailed financial performance matrices, and verified shareholder relationship trees, compiled and saved inside your workspace.
How MiaoXiang Financial Data Works
1. Analyze query and stock ticker. Provide the stock name (e.g., "Kweichow Moutai") or 6-digit exchange ticker (e.g., `600519`) and specify your required research module (market, financial, or relationship).
2. Real-time quote and snapshot query. For market data, the skill connects to active A-share financial databases over secure HTTPS, retrieving real-time stock quotes, change percentages, and intraday spreads.
3. Advanced financial ratio calculation. For financial analysis, it pulls current balance sheets and income statements, calculating critical metrics (P/E ratio, P/B ratio, ROE, debt-to-equity ratio) and comparing them to sector averages.
4. Shareholder structure mapping. For relationship queries, the skill parses public company registrations, mapping parent entities, institutional holdings, and subsidiary networks into a cohesive relationship tree.
5. Output compiling and saving. The compiled financial and corporate data is written directly to standard CSV and JSON files in your local workspace exports directory (`public/data/finance/`), ready to open in Excel or Google Sheets.
Key Features
- Real-time A-share quotes: Retrieve instant, un-delayed prices, change percentages, and market caps.
- Advanced financial audits: Computes critical corporate indicators (P/E, P/B, ROE) per stock ticker.
- Shareholder relationship graph: Maps complex corporate structures and institutional ownership trees.
- Sector comparison grids: Compare individual stock metrics against sector medians side-by-side.
- Direct CSV/JSON export: Automatically writes clean, structured financial datasets to your workspace.
- Monospace text graph outputs: Displays parent-subsidiary relations as clean visual trees in chat.
What Problems Does MiaoXiang Financial Data | Financial Market Data Solve?
1. Mapping out a company's complex shareholder structure
A corporate compliance officer needs to audit the parent-subsidiary and institutional ownership structure of a target A-share firm before a merger. The skill queries public registration APIs and formats a clean, hierarchical monospace text tree: showing parent companies, major institutional shareholders with percentage stakes, and active subsidiaries, identifying ultimate beneficial owners (UBO) instantly.
2. Reviewing a stock's key financial ratios
An investor is analyzing Kweichow Moutai (600519) and wants a quick fundamental health check. They ask for a financial analysis. The skill retrieves the latest quarterly earnings reports: calculating their current P/E, P/B, and ROE, and compares them side-by-side with the sector's median valuation, flagging whether the stock is currently undervalued or premium-priced.
3. Quick market price and volume check
A day-trader wants to check the live trading price and volume of Tencent Holdings. They run a quick market query. The skill pulls the live quote over secure HTTPS, returning the current price, day-change percentage, and volume — without requiring the trader to open a heavy brokerage app.
4. Comparing financial performance across competitors
A research team wants to compare the debt-to-equity ratios of 5 different automotive manufacturers. The skill pulls the balance sheets for all 5 tickers, compiles the ratios, and exports a unified comparison CSV sheet directly to their local workspace, streamlining their equity review.
5. Automatically resolving vague financial requests
A user is analyzing a company and asks: *"Check the financial data"* without providing a ticker. The skill's context logic detects the missing variables and prompts politely: *"To run the financial audit, please share the company name or 6-digit ticker ID? And specify if you need live market data, financial ratios, or shareholder relationship trees?"* preventing failed lookups.
Example Workflow
An analyst needs to map the shareholder structure and financial ratios of an A-share stock.
1. They open EasyClaw and activate MiaoXiang Financial Data.
2. They run: *"Check the shareholder structure and P/E ratio for Kweichow Moutai (600519)."*
3. The skill queries the financial APIs, pulls the registration records, and compiles the Corporate Dossier:
- Market Quote: 1,520.00 CNY (P/E Ratio: 28.5x).
- Shareholder Structure: Monospace tree showing Moutai Group (54% ownership) and other institutional holders.
- Financial Grade: Stable, low debt-to-equity, high ROE.
4. It saves the dataset to: `public/data/finance/600519-corporate-dossier.json`.
Corporate relationship and financial statistics compiled in under 40 seconds.
Getting Started with MiaoXiang Financial Data | Financial Market Data
Add this skill to your EasyClaw workspace
Describe your task in a chat message
Review the output and iterate if needed
Export or share the results directly from EasyClaw
Combine with other skills to build automated workflows
Frequently Asked Questions
Do I need a live brokerage account to run searches?
No. The skill is an automated financial market intelligence and research assistant. It pulls public company registrations and market data, requiring no active brokerage capital or transaction accounts.
Is an API key required to use this skill?
The core financial ratio calculations, shareholder mapping, and quote lookups are processed headlessly using secure, integrated database connections, requiring no external paid API configurations.
What exchanges and markets are supported?
The skill covers all major Chinese A-share markets: Shanghai Stock Exchange (SSE), Shenzhen Stock Exchange (SZSE), and Beijing Stock Exchange (BSE), including ChiNext and STAR markets.
Are my search queries and audited company files kept private?
Yes. All financial queries, shareholder mappings, and file writes are executed entirely locally in your workspace session, keeping your strategic investment plans private.
What is the difference between P/E and P/B ratios?
- P/E (Price-to-Earnings) Ratio: Measures the company's current share price relative to its per-share earnings, used to evaluate if a stock is overvalued or undervalued.
- P/B (Price-to-Book) Ratio: Measures the market value of the company relative to its book value, commonly used for asset-heavy or financial sector stocks.
Can the skill map ultimate beneficial owners (UBO)?
Yes. By recursively traversing the shareholder relationship graph, the engine can track multi-layered corporate holdings to identify the ultimate parent entity or beneficial owner of a target firm.
Can I export the shareholder tree to a spreadsheet?
Yes. The skill automatically writes your holding tables and corporate relationship data to standard, structured JSON and CSV files under `public/data/finance/` in your local workspace.
What is the "unstructured profile resolution" rule?
If you request an audit without providing a company name or ticker, the skill's context logic will politely prompt you for the specific ticker ID or company name to prevent duplicate or failed queries.
Does the skill support translation of financial terms?
Yes. You can query Chinese A-share stocks and request the final financial audits, ratio calculations, and shareholder trees delivered in professionally structured English.
Is there an offline log of my financial queries?
Yes. Every successful stock quote lookup, financial audit, and relationship query is logged locally under `public/data/logs/` in your workspace, creating a clear local audit trail of your research.
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