🇨🇳 Eastmoney China ETF Flow Tracker · 东方财富ETF资金流向

Institutional-grade Chinese ETF fund-flow data. Daily snapshot of all 1,468 Shanghai + Shenzhen ETFs with super-large/large/medium/small CNY flow breakdown, per-ETF 30-day historical flow series, and 496 sector-level aggregates. Sourced from Eastmoney (东方财富) — the live data feed Mandarin-speaking PMs already use. No free equivalent exists on the Apify Store.

What you get

Three modes, one actor:

Mode	Records / run	Use case
snapshot	~1,468 ETFs	Daily flow scan: which ETFs are seeing institutional inflow today?
historical	30 daily rows × N ETFs	Trend reconstruction: is money rotating out of bond ETFs into sector ETFs over the past month?
sector_aggregates	~496 industry sectors	Top-down view: which CSRC sectors are seeing net inflow before drilling into individual ETFs?

Every record exposes the money breakdown that retail-grade feeds (Sina, StockAnalysis.com) don't carry:

• Super-large flow (super-institutional, >1M CNY single trades)
• Large flow (institutional, 200K–1M CNY)
• Medium flow (semi-pro, 40K–200K CNY)
• Small flow (retail, <40K CNY)

This four-tier breakdown is the same dataset Wind, Choice, and Bloomberg-China sell for $20K+/year/seat. Here it ships pay-per-record at $0.50.

💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/china-etf-flow-tracker").call(run_input={
    "mode": "snapshot",
    "etfFilter": "sector",
    "maxResults": 200
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["ticker"], item["name"], item["net_main_flow_cny"])

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~china-etf-flow-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"mode": "snapshot", "etfFilter": "sector", "maxResults": 50}'

Use cases

• Hedge-fund position sizing. Re-weight a long-China book based on real-time super-large-order flow, not stale weekly fund-flow PDFs.
• Cross-border ETF arbitrage. Compare onshore CSI 300 ETF flow (510300) with offshore ASHR flow to detect premium/discount divergence.
• China sector rotation tracking. Sector_aggregates mode shows which CSRC industries are seeing net inflow before competitors can read it in print.
• Quant signal generation. Multi-tier flow tiers (super-large vs small) historically separate informed from noise trades.
• Cross-listed ETF research. Pair onshore flow with offshore NAV from sister NexGenData actors.

❓ FAQ

Q: How is this different from the eastmoney-china-stock-screener? The screener returns equity quotes (price, P/E, market cap). This actor returns fund-flow specifically — daily net buying/selling broken down by trade-size tier. Different field set, different use case, same vendor.

Q: How fresh is the data? Eastmoney refreshes flow within ~30 minutes after the Shanghai/Shenzhen market close (CST 15:00). Run this actor any time after 16:00 CST for the same-day record.

Q: Why no AUM column on snapshot? Eastmoney's flow endpoint doesn't expose AUM directly. Pair this actor with eastmoney-china-stock-screener for the quote dimension; join on ticker.

Q: Will I get rate-limited? The actor uses Apify Residential Proxy by default — Eastmoney's push2 endpoint throttles to ~3-4 reqs/cloud IP, push2his to ~20-25. Residential rotation handles both transparently.

Q: Can I use the output commercially? Yes. You own the output. Eastmoney's data is publicly accessible; consult their ToS for any restrictions on redistribution at scale.

💰 Pricing

Pay-per-event — you only pay for what you extract.

• Actor start: $0.00005 per run
• ETF flow record: $0.50 per record

Example cost: a 50-ETF sector snapshot = $0.00005 + 50 × $0.50 = ~$25.00.

🔗 Related NexGenData China actors

• Eastmoney China Stock Screener — equity quotes (price/P/E/AUM) across 5,500 A-shares.
• China Trends Tracker — Baidu/Weibo trending signals.
• Bilibili Video Search — Chinese consumer-sentiment proxy via short-video data.
• China A-Share Insider Trades — director/exec transaction tracking.

Agentic payments (AI agent buyers welcome)

This actor supports autonomous payment via Skyfire — AI agents (Claude Desktop, OpenCode, Cursor, Vercel AI SDK, OpenAI Agents SDK) can discover, fund, and invoke it without a human-in-the-loop credit card flow. Agents using Apify's MCP server can find this actor by searching for China ETF flow, Chinese fund flow, or Wind alternative and pay via a Skyfire PAY token.

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