L2 historical big-order net flow (per trading day, up to 100 days back) API
Per-day big-order net flow, up to 100 trading days back. data rows: date / net (that day's big-order net amount in CNY; positive = net buying, negative = net selling), newest first. Top-level fields (siblings of data): code / days / upstream_days / unit. ⭐ Use case: /v1/bigorder only covers today; this one looks back — is the big money accumulating steadily or just today's spike, and on which day did it turn. ⚠️ The source always returns 100 trading days; limit only truncates locally (saves bandwidth, not a call). ⚠️ net is the big-order metric (aggregated by trade amount) — not main-capital net flow, not the exchange dragon-tiger list, not tick data. ⚠️ Non-trading days return the 100 days ending at the last session — trust data[0].date. Paid tier — Unlimited only.
GET /v1/bigorder-historyGET /v1/bigorder-history?code=sh600667&limit=10curl "https://api.ashareapi.com/v1/bigorder-history?code=sh600667&limit=10&key=YOUR_KEY"code * · limit* = requiredQuick start
Replace the key below with yours (free endpoints need no key):
# 推荐：Authorization 头（密钥不进日志）
curl -H "Authorization: Bearer YOUR_KEY" \
"https://api.ashareapi.com/v1/bigorder-history?code=sh600667&limit=10"
# 快速测试：直接浏览器打开（?key= 会留在日志/历史里，别用于生产）
curl "https://api.ashareapi.com/v1/bigorder-history?code=sh600667&limit=10&key=YOUR_KEY"import requests
r = requests.get(
"https://api.ashareapi.com/v1/bigorder-history",
headers={"Authorization": "Bearer YOUR_KEY"},
params={"code": "sh600667"},
timeout=30,
)
print(r.json())const r = await fetch("https://api.ashareapi.com/v1/bigorder-history?code=sh600667&limit=10", {
headers: { Authorization: "Bearer YOUR_KEY" },
});
console.log(await r.json());Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| code | string | Yes | Stock code with market prefix: sh600667 (SH), sz000001 (SZ), hk00700 (HK), usAAPL (US) |
| limit | integer | No | Number of rows, default 30 |
codestringYeslimitintegerResponse fields
The table below is captured from real API calls (not inferred): each row gives the field name, its type and one real sample value, so you can align your parser.
dataEnvelope: ok / endpoint / tier / elapsed_ms / sourceUnit: 元Probed: 2026-10-20| Field | Type | Real sample value |
|---|---|---|
| date | str | 2026-10-21 |
| net | num | -43638600 |
Unified envelope: { ok, endpoint, tier, elapsed_ms, source, data }
Rows live in data; when upstream returns nothing you get ok:false and the call is not counted.
Free endpoints need no key (anonymous 5/min — 250 bars per request, 100k rows per day; solve one PoW challenge for 15/min). Paid tiers: Trial 30 · Standard 120 · Pro 300 · Unlimited 600 per minute; buyout packs are capped by total calls and never expire.
See the error code table →FAQ
General (applies to every endpoint)
Free endpoints do not: health, challenge, quote, kline, hot, market-overview and changedist work anonymously. Paid endpoints do: send Authorization: Bearer <your key>. ⚠️ The anonymous allowance is tiered by caller type: browsers (humans) get 5/min; scripts, SDKs and AI Agents (curl, requests, axios, openai user-agent strings) get 2/min — automated traffic is easier to abuse. Solving one PoW challenge (GET /v1/challenge, then send the X-PoW header) raises it to 15/min regardless of type. ⚠️ Also, anonymous calls are capped at 250 bars per request and 100k rows per day — use an API key for the full 1212 bars or unlimited daily volume.
No. When the upstream fails or returns nothing you get ok:false and the charge for that call is refunded (total_calls / usage_log / ep_log are rolled back together). Only calls that actually returned data count.
Quotes (quote / kline / orderbook / changedist) are real-time or current session; financials, shareholders, dividends and events are within T+1 of upstream disclosure. The source field in every response tells you which data channel actually served it.
No. code is a single-value parameter — one stock per call. For batches, issue concurrent calls and respect your tier per-minute limit.
Set up MCP once, then just ask the AI — it calls the endpoint itself. MCP exposes 39 tools covering quotes, financials, screening, sectors and macro.
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Set up MCP once, then just ask the AI — it calls the endpoint itself.