Fundamentals
Daily valuation and liquidity metrics, one row per stock per trading day, covering PE (trailing and TTM), PB, PS, dividend yield, turnover rate, volume ratio, share counts (total, float, free-float), and market caps (total and float). It updates alongside each day's close and suits valuation screening, cross-sectional ranking, size bucketing, and factor construction. Note that valuation ratios may be null or negative for loss-making firms, market caps are denominated in 10k CNY, and you should be explicit about which basis (TTM vs. static, float vs. total) you use.
GET /v2/market/fundamentalsParameters
Name
Type
Required
Description
symbol
string
No
Stock code, e.g. 000001.SZ
start_date
string
No
Start date (YYYYMMDD)
end_date
string
No
End date (YYYYMMDD)
trade_date
string
No
Trading date YYYYMMDD (single day)
Key Response Fields
Field
Description
pe / pe_ttm
Price-to-Earnings ratio (static / trailing 12m)
pb
Price-to-Book ratio
ps / ps_ttm
Price-to-Sales ratio
turnover_rate / turnover_rate_f
Turnover rate (total / free float)
total_mv / circ_mv
Total / circulating market cap (CNY 10k)
volume_ratio
Volume ratio
API Example
cURL
curl -H "X-API-Key: YOUR_KEY" \
"https://asharehub.com/v2/market/fundamentals?symbol=000001.SZ"Python SDK
from asharehub import AShareHub
client = AShareHub(api_key="YOUR_KEY")
df = client.fundamentals(symbol="000001.SZ")
print(df.head())Sample Data
returns a pandas.DataFrame
| symbol | trade_date | close | turnover_rate | turnover_rate_f | volume_ratio | pe | pe_ttm | pb | ps | … +8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 000001.SZ | 20260626 | 10.23 | 0.6372 | 1.5152 | 1.01 | 4.6565 | 4.6104 | 0.4278 | 1.5103 | … |
| 000001.SZ | 20260625 | 10.42 | 0.5586 | 1.3284 | 0.91 | 4.743 | 4.696 | 0.4357 | 1.5384 | … |
| 000001.SZ | 20260624 | 10.51 | 0.5802 | 1.3796 | 0.97 | 4.784 | 4.7366 | 0.4395 | 1.5517 | … |
Esc