Technical Factors
Daily technical-indicator factors, one row per stock per trading day, including MACD, KDJ, RSI, BOLL, and CCI, bundled with forward- and back-adjusted prices. The indicators are pre-computed by the platform, removing the need to handle adjustment and rolling windows yourself, and suit trend, momentum, and overbought/oversold analysis and technical screening. Note that each indicator uses standard parameters, so custom lookbacks still require computing from adjusted prices, and the forward-adjusted series is retroactively revised after corporate actions.
GET /v2/market/technical-factorsParameters
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
close_qfq / close_hfq
Forward / backward adjusted close price
macd_dif, macd_dea, macd
MACD indicator (DIF, DEA, histogram)
kdj_k, kdj_d, kdj_j
KDJ oscillator
rsi_6, rsi_12, rsi_24
RSI (6/12/24 period)
boll_upper, boll_mid, boll_lower
Bollinger Bands
cci
Commodity Channel Index
API Example
cURL
curl -H "X-API-Key: YOUR_KEY" \
"https://asharehub.com/v2/market/technical-factors?symbol=000001.SZ"Python SDK
from asharehub import AShareHub
client = AShareHub(api_key="YOUR_KEY")
df = client.technical_factors(symbol="000001.SZ")
print(df.head())Sample Data
returns a pandas.DataFrame
| symbol | trade_date | open_hfq | close_hfq | high_hfq | low_hfq | pre_close_hfq | open_qfq | close_qfq | high_qfq | … +16 |
|---|---|---|---|---|---|---|---|---|---|---|
| 000001.SZ | 20260626 | 1448.4634 | 1422.0518 | 1455.4138 | 1416.4915 | 1448.4634 | 10.42 | 10.23 | 10.47 | … |
| 000001.SZ | 20260625 | 1455.4138 | 1448.4634 | 1472.0947 | 1447.0733 | 1460.9741 | 10.47 | 10.42 | 10.59 | … |
| 000001.SZ | 20260624 | 1484.6054 | 1460.9741 | 1498.5062 | 1460.9741 | 1488.7757 | 10.68 | 10.51 | 10.78 | … |
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