K-line field reference

What the response looks like

A real response from GET /v1/kline?code=sh600519&count=2:

{
  "ok": true,
  "endpoint": "kline",
  "tier": "free",
  "elapsed_ms": 701,
  "source": "multi",
  "data": [
    { "date": "2026-09-30", "open": "1239.53", "last": "1258.62", "high": "1268",
      "low": "1236.05", "volume": "38331", "amount": "4797250000", "turnover": "0.31" }
  ]
}

The five outer fields are the same on every endpoint: ok (success), endpoint (name), tier (current tier), elapsed_ms (latency), source (where the data came from). The market data itself lives in the data array.

The eight fields

Field	Meaning	Unit / format
date	Trading day	YYYY-MM-DD
open	Open price	CNY
last	Close price	CNY
high	High	CNY
low	Low	CNY
volume	Volume	lots (1 lot = 100 shares)
amount	Turnover value	CNY
turnover	Turnover rate	percent value (0.31 = 0.31%)

The two mistakes people make most

Why is the close price called last instead of close?

Because the same field means latest price during the session and close price after it. One name covers both, so you never have to switch field names based on the clock. If you are porting code, the mapping is close → last.

Why are the numbers strings?

"1258.62" is a string, not a number. This is deliberate — it preserves precision. Floating point across languages produces artefacts like 1258.6200000000001, and prices and amounts are precision-sensitive. Convert on your side:

import requests

r = requests.get("https://api.ashareapi.com/v1/kline",
                 params={"code": "sh600519", "count": 250}).json()

for row in r["data"]:
    close = float(row["last"])      # string -> float
    amount = float(row["amount"])

Common misuses

• Treating volume as shares — it is lots (1 lot = 100 shares); multiply by 100 for shares.
• Treating turnover as a fraction — 0.31 means 0.31%, not 31%.
• Reading data without checking ok — on failure data may be empty or absent. Check ok first.
• Looking for an adjust parameter — the adjustment convention is fixed; the endpoint neither needs nor accepts one.