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China A-Share Smart-Money Tracker — Institutional Score & Cost

See what institutions are doing in every Chinese A-share in one run. For each stock this Actor returns Eastmoney's institutional-behavior signals: an institutional score (0–100), institutional participation %, the "main-force" (smart-money) average cost basis versus the current price, super-large / large order net inflow, an attention score and the popularity rank. No login, no account, no API key.

The standout field is priceVsMainForceCostPct — how far the current price sits above or below the average cost of the dominant ("main force") money in the stock. Below cost, smart money is underwater; well above, it's sitting on gains. Combined with the institutional score and participation, it's a fast read on positioning that Chinese traders watch closely (主力成本 / 机构参与度).

What you get

One row per stock per trading day:

Input

• Sort by (sortBy) — score / participation / attention / change / super-large net inflow.
• Min institutional score (minScore) — e.g. 70 to surface only heavily-institutional names.
• Stock codes (securityCodes) — restrict to specific tickers, or leave empty for the whole market.
• Include NEEQ (includeNEEQ) — off by default; A-shares only.
• Max stocks (maxResults).

Example input

{"sortBy":"score","minScore":70,"maxResults":100}

Example output row

{
"stockCode":"000783",
"stockName":"长江证券",
"market":"SZSE (Main)",
"institutionalScore":83.72,
"institutionalParticipationPct":68.44,
"mainForceCost":9.406,
"close":9.46,
"priceVsMainForceCostPct":0.57,
"superLargeNetInflowCny":1115073552,
"superBuyRatioPct":71.36,
"attentionScore":89.6
}

Use cases

• Smart-money screening — sort by institutionalScore (or filter minScore) to find the most institutionally-active names.
• Cost-basis edge — rank by priceVsMainForceCostPct to find stocks trading near/below where the main force got in.
• Flow confirmation — combine superLargeNetInflowCny + superBuyRatioPct to see where big money is buying.
• Watchlist monitoring — set securityCodes to track institutional behavior on stocks you hold.
• Dashboards / models — feed daily institutional signals into your own app or BI tool.

Tips

• Run on a schedule (daily after close) and append to one dataset to build an institutional-behavior time series.
• priceVsMainForceCostPct crossing from negative to positive can mark a shift in main-force positioning.
• Mix minScore with sortBy: "super_inflow" to find high-quality names also seeing big-order buying.

FAQ

Account or API key? No — live from Eastmoney's public dataset.

Which markets? All A-shares (Shanghai & Shenzhen main, STAR, ChiNext, BSE). NEEQ optional.

How current? Daily, as published by Eastmoney after each trading session.

What are "main-force" and "super-large orders"? Main force (主力) = the dominant institutional/large money; super-large orders are the biggest trade tranches — a common proxy for institutional activity.

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Part of a China market-intelligence suite:

• China A-Share Financials — revenue, profit, EPS, ROE per company.
• China A-Share Unlock Calendar — upcoming lockup expiries.
• Dragon-Tiger List, Block Trades, Stock Connect Flow, A-Share Insider Trades — the rest of the China flow/behavior stack.