A-Share Market Data
🛠️
General Tools+ Agent Template

A-Share Market Data

Real-time A-share quotes, financials, sector and fund flow data

Overview

What Is A-Share Market Data?

A-Share Market Data is a real-time financial data skill on EasyClaw that gives investors, traders, and analysts direct access to China's A-share stock market — covering the Shanghai Stock Exchange (SSE) and Shenzhen Stock Exchange (SZSE). It provides live quotes, historical K-line charts, financial statement data, sector performance, and fund flow analysis through a conversational interface.

The skill is built for retail investors tracking individual positions, quantitative analysts building screening models, fund researchers monitoring sector rotations, and anyone who needs structured Chinese equity market data without logging into a brokerage platform or paying for a Bloomberg terminal subscription.

The expected outcome is actionable market data returned in structured format — a live quote, a formatted price table, a sector fund flow ranking, or a screened stock list — ready to use directly in investment research or portfolio monitoring.

How A-Share Market Data Works

1. Natural language query. Ask in plain English or Chinese. The skill understands stock names, ticker symbols, sector names, index references, and financial metric terms.

2. Query routing. The skill determines whether your request needs live quote data, historical OHLCV data, financial statement data, sector data, or fund flow data, and routes accordingly.

3. Data retrieval. Live quotes are pulled in real time during market hours. Historical data is retrieved from structured market databases covering daily, weekly, and monthly timeframes. Financial data covers quarterly and annual reports.

4. Structured output. Results are returned as formatted tables — K-line data with open, high, low, close, and volume columns; fund flow tables with net inflow by sector; screener results with user-specified metrics.

5. Follow-up analysis. You can ask follow-up questions in the same conversation — "which sector had the highest net inflow this week?" or "compare Moutai's P/E ratio to its 5-year average" — without re-specifying context.

Key Features

- Live quotes: Get real-time price, change percentage, volume, and market cap for any A-share stock by name or ticker.
- K-line history: Pull daily, weekly, or monthly OHLCV data for any time range, with split-adjustment notes.
- Stock screener: Filter A-share stocks by sector, market cap, fund inflow, gain percentage, P/E ratio, and other criteria.
- Sector fund flow: Track net capital inflow and outflow by industry sector to identify where institutional money is moving.
- Financial data: Access revenue, net profit, EPS, P/E, P/B, and balance sheet items from quarterly and annual reports.
- Index tracking: Monitor major indices including SSE Composite, CSI 300, ChiNext, and STAR Market in real time.

What Problems Does A-Share Market Data Solve?

1. Checking a live stock quote before trading
An investor wants to know Kweichow Moutai's current price before placing an order. They type the stock name into EasyClaw and get the live price, day change, volume, and market cap in seconds — without opening a brokerage app.

2. Pulling K-line data for technical analysis
A trader wants to review the last 30 days of daily candlestick data for a semiconductor stock. The skill returns a formatted OHLCV table with split-adjustment flags, ready to paste into a spreadsheet or feed into a technical indicator calculation.

3. Screening stocks by fund flow
An investor wants to find semiconductor stocks with the highest net capital inflow over the past week — a common signal for institutional accumulation. They describe the criteria in plain language and receive a ranked list of stocks with inflow amounts.

4. Monitoring sector rotation
A portfolio manager tracking sector rotation asks for a fund flow ranking across all A-share sectors for the past 5 trading days. The skill returns a table showing net inflow by sector, making rotation patterns immediately visible.

5. Checking valuation metrics before a position
Before adding to a position, an analyst wants to compare a stock's current P/E ratio against its historical range and sector average. The skill retrieves the current P/E, the 5-year average, and the sector median in a single query.

Example Workflow

A retail investor is considering adding a domestic liquor stock to their portfolio and wants to do a quick fundamental and momentum check.

1. They open EasyClaw and activate A-Share Market Data.
2. They type: *"What's Kweichow Moutai trading at today?"* — get the live quote instantly.
3. They ask: *"Pull the last 30-day daily K-line for Moutai."* — receive a formatted OHLCV table.
4. They ask: *"What's the net fund inflow into the liquor sector this week?"* — see whether institutional money is flowing in or out of the sector.
5. They ask: *"Compare Moutai's current P/E to its 3-year average."* — get a valuation context check.

All four data points from a single EasyClaw conversation, taking under 2 minutes.

Getting Started with A-Share Market Data

Benefits of Using A-Share Market Data

No platform switching. Investors typically pull quotes from one app, K-line data from another, and financial statements from a third. This skill consolidates all A-share data queries into one EasyClaw conversation.

Plain language queries. You don't need to know ticker symbols or navigate data platform interfaces. "What's Moutai trading at" and "600519" both work. The skill resolves stock names, common abbreviations, and full company names.

Structured output for further analysis. Data returns as formatted tables, not raw API responses. K-line data is ready to copy into Excel; screener results are sortable by any column.

Fund flow intelligence accessible to retail investors. Sector and individual stock fund flow data — the kind institutional desks monitor daily — is available through a simple natural language query, without paying for specialized financial data services.

Real-time during market hours. Live quotes are current as of market time, not delayed by 15–20 minutes as with many free data sources.

Best Practices

- Use stock names or tickers interchangeably. The skill recognizes both "贵州茅台" and "600519" and "Kweichow Moutai." Use whichever is fastest for you.
- Specify time ranges for K-line requests. "Last 30 days daily" is more precise than "recent data" and returns exactly what you need without ambiguity.
- Combine fund flow with screener results. First screen for stocks meeting your fundamental criteria, then check fund flow for the shortlist to see which ones have institutional momentum behind them.
- Ask for sector context when evaluating individual stocks. A stock's P/E ratio is more meaningful when compared to its sector median. Always ask for the sector benchmark in the same query.
- Note that live data requires market hours. Real-time quotes are available during SSE/SZSE trading hours (9:30–15:00 CST, Monday–Friday, excluding public holidays). Queries outside market hours return the most recent closing data.

Frequently Asked Questions

Does this skill cover both Shanghai and Shenzhen stocks?

Yes. The skill covers all A-share stocks listed on the Shanghai Stock Exchange (SSE, 6xxxxx tickers) and Shenzhen Stock Exchange (SZSE, 0xxxxx and 3xxxxx tickers), including the main board, ChiNext (创业板), and STAR Market (科创板).

Is the quote data real-time or delayed?

During A-share market hours (9:30–15:00 CST, Monday–Friday), quotes are real-time. Outside market hours, the skill returns the most recent closing price. There is no 15-minute delay typical of many free data providers.

Can I screen stocks by multiple criteria at once?

Yes. You can combine criteria — for example, "semiconductor stocks with market cap above ¥10 billion, P/E below 40, and positive net fund inflow this week." The skill asks clarifying questions if criteria are ambiguous before running the screen.

What financial metrics are available for individual stocks?

Available metrics include: revenue, net profit, gross margin, EPS, P/E ratio, P/B ratio, ROE, debt-to-equity ratio, and dividend yield. Data is sourced from quarterly and annual reports filed with the exchanges.

How far back does historical K-line data go?

Historical daily OHLCV data covers the full listing history for most stocks. Weekly and monthly aggregations are available for the same period. For very long-term analysis (10+ years), specify the date range explicitly.

What is fund flow data and why does it matter?

Fund flow (资金流向) tracks the net movement of capital into and out of individual stocks or sectors. Sustained positive inflow — particularly from large orders — is often associated with institutional accumulation. It's a momentum signal used alongside fundamental analysis.

Can I get data for A-share ETFs and index funds?

Yes. Major A-share ETFs (e.g., CSI 300 ETF, ChiNext ETF) and index products are included. You can query prices, NAV, and volume for listed ETFs the same way you would for individual stocks.

Does the skill provide buy or sell recommendations?

No. The skill provides factual market data — prices, financials, fund flows. It does not generate investment recommendations or trading signals. All investment decisions remain the user's responsibility.

Can I use this skill to monitor a watchlist of stocks?

Yes. You can ask for a snapshot of multiple stocks in one query — "give me today's quote and fund flow for Moutai, CATL, and BYD" — and receive a comparison table. For ongoing monitoring, repeat the query as needed at the start of each trading session.

Is this skill useful for quantitative research?

Yes for data retrieval and initial screening. The skill can pull structured K-line and financial data that feeds into quantitative models. For systematic backtesting at scale, you would typically export the data to a Python environment, but the skill handles the data sourcing step conversationally.

Add A-Share Market Data to Your Workflow

Get EasyClaw, add this skill, and start building AI agent workflows in minutes.

Get EasyClaw Free →