Batch K-lines (many stocks × one date range) API
⭐ Fetch K-lines for many stocks in one call (many symbols × one date range), with per-symbol status. What it solves: looping 200 symbols × 30 bars means 200 requests (≈2.3 minutes); this endpoint returns 6,000 rows in 3.39 seconds (measured, all 200 symbols present). vs the other K-line endpoints: /v1/kline = one symbol (commas accepted but flat, no per-symbol status); /v1/kline-full = one symbol × entire history; /v1/market-kline = one day × whole market; this endpoint = many symbols × one date range (list-driven). Response: data is an array; each item has code / ok / data:[...] or error; plus requested / returned / failed. Limits: Pro up to 200 symbols, Unlimited up to 1000; also bounded by a 60,000-row cap (symbols × count ≤ 60,000). Billing is per symbol actually returned. ⚠️ count defaults to 30 bars per symbol. ⚠️ Paid endpoint: Pro (¥99) and above.
GET /v1/kline-batchGET /v1/kline-batch?codes=&period=daycurl "https://api.ashareapi.com/v1/kline-batch?codes=&period=day&key=YOUR_KEY"codes * · period · count · start · end · fq* = 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/kline-batch?codes=&period=day"
# 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/kline-batch?codes=&period=day&key=YOUR_KEY"import requests
r = requests.get(
"https://api.ashareapi.com/v1/kline-batch",
headers={"Authorization": "Bearer YOUR_KEY"},
params={"codes": ""},
timeout=30,
)
print(r.json())const r = await fetch("https://api.ashareapi.com/v1/kline-batch?codes=&period=day", {
headers: { Authorization: "Bearer YOUR_KEY" },
});
console.log(await r.json());Parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
| codes | string | Yes | 多个股票代码，逗号分隔：sh600519,sz000001,sz300750 |
| period | string | No | Period: day / week / month |
| count | integer | No | Number of rows, default 30 |
| start | string | No | 起始日期 YYYY-MM-DD（可选） |
| end | string | No | 结束日期 YYYY-MM-DD（可选） |
| fq | string | No | 复权：qfq 前复权 / hfq 后复权 / nofq 不复权（留空 = 服务端默认） |
codesstringYesperiodstringcountintegerstartstringendstringfqstringUnified 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.
Related endpoints
Set up MCP once, then just ask the AI — it calls the endpoint itself.