The methods on this page are available only in Qube. The
tqx-data package on PyPI doesn’t include them.Obtain Hong Kong stock minute line data
Method name: get_hk_min
Qube onlyEnter parameters
| Field | Type | Description | Is it required |
|---|---|---|---|
| start_date | str | Start date,eg: “20250702” | Required |
| end_date | str | End date,eg: “20250702” | Required |
| symbol | Optional[Union[str, List[str]]] | Stock code, when symbol is empty, the start and end dates cannot exceed 1 month | Optional |
| fields | Optional[Union[str, List[str]]] | Return fields, if not passed, the default is “open”, “high”, “low”, “close”, “volume” and “amount” | Optional |
| time_zone | Optional[tuple] | Time zone filtering, the format is (“HH:MM”, “HH:MM”), such as (“10:00”, “23:00”) | Optional |
| frequency | Optional[str] | Frequency, supports “1m”, “5m”, “10m”, “60m”, default is “1m” | Optional |
Response parameters
| Field | Type | Description |
|---|---|---|
| date | str | date |
| datetime | str | date and time |
| minute | str | time (accurate to minute) |
| symbol | str | stock code |
| open | double | minute opening price |
| high | double | highest price per minute |
| low | double | lowest price per minute |
| close | double | minute closing price |
| volume | double | minute volume |
| amount | double | minute transaction amount |
| num_trades | double | Number of transactions per minute |
| high_yld | double | highest rate of return per minute |
| low_yld | double | minute minimum rate of return |
| open_yld | double | minute opening rate of return |
| yield | double | minute closing yield |
| vwap | double | minute volume weighted average price |
| bid_high | double | Highest bid price |
| bid_low | double | lowest bid price |
| open_bid | double | opening bid price |
| bid | double | closing bid price |
| bid_nummov | double | Number of bid changes |
| ask_high | double | Highest selling price |
| ask_low | double | Lowest selling price |
| open_ask | double | opening ask price |
| ask | double | closing selling price |
| ask_nummov | double | Number of sell order changes |
| mid_high | double | the highest value of the middle price |
| mid_low | double | the lowest value of the middle price |
| mid_open | double | opening mid price |
| mid_price | double | closing mid price |
Usage examples
Get the 1-minute line data of a single stock and use fields
import tqx_data
result = tqx_data.get_hk_min(
symbol="0700.HK",
start_date="20260101",
end_date="20260131",
fields=["symbol", "date", "num_trades", "amount", "volume"],
frequency="1m",
time_zone=("10:00", "11:00")
)
print(result)
symbol date num_trades ... volume datetime minute
0 0700.HK 20260102 415.0 ... 109000.0 2026-01-02 10:00:00 100000
1 0700.HK 20260102 89.0 ... 26900.0 2026-01-02 10:01:00 100100
2 0700.HK 20260102 61.0 ... 17200.0 2026-01-02 10:02:00 100200
3 0700.HK 20260102 250.0 ... 97900.0 2026-01-02 10:03:00 100300
4 0700.HK 20260102 266.0 ... 182600.0 2026-01-02 10:04:00 100400
... ... ... ... ... ... ... ...
1276 0700.HK 20260130 37.0 ... 12700.0 2026-01-30 10:56:00 105600
1277 0700.HK 20260130 32.0 ... 6900.0 2026-01-30 10:57:00 105700
1278 0700.HK 20260130 96.0 ... 29800.0 2026-01-30 10:58:00 105800
1279 0700.HK 20260130 43.0 ... 10300.0 2026-01-30 10:59:00 105900
1280 0700.HK 20260130 140.0 ... 62900.0 2026-01-30 11:00:00 110000
Obtain 10-minute line data of multiple stocks
import tqx_data
result = tqx_data.get_hk_min(
symbol=["0700.HK","0003.HK"],
start_date="20260101",
end_date="20260131",
fields=[],
frequency="10m",
time_zone=("10:00", "11:00")
)
print(result)
symbol date datetime ... close volume amount
0 0003.HK 20260102 2026-01-02 10:00:00 ... 7.07 305000.0 2156350.0
1 0003.HK 20260102 2026-01-02 10:10:00 ... 7.09 333000.0 2360970.0
2 0003.HK 20260102 2026-01-02 10:20:00 ... 7.09 463000.0 3282670.0
3 0003.HK 20260102 2026-01-02 10:30:00 ... 7.09 324000.0 2297160.0
4 0003.HK 20260102 2026-01-02 10:40:00 ... 7.09 368000.0 2609120.0
.. ... ... ... ... ... ... ...
289 0700.HK 20260130 2026-01-30 10:20:00 ... 613.00 392600.0 240663800.0
290 0700.HK 20260130 2026-01-30 10:30:00 ... 612.50 797000.0 488162500.0
291 0700.HK 20260130 2026-01-30 10:40:00 ... 613.50 397200.0 243682200.0
292 0700.HK 20260130 2026-01-30 10:50:00 ... 614.00 333900.0 205014600.0
293 0700.HK 20260130 2026-01-30 11:00:00 ... 614.50 296100.0 181953450.0
Get the minute line number of US stocks
Method name: get_us_min
Qube onlyEnter parameters
| Field | Type | Description | Is it required |
|---|---|---|---|
| start_date | str | Start date, eg: “20250702” This is the date in New York, USA) | Required |
| end_date | str | End date, eg: “20250702” (this is the date in New York, USA) | Required |
| symbol | Optional[Union[str, List[str]]] | Stock code, when symbol is empty, the start and end dates cannot exceed 1 month | Optional |
| fields | Optional[Union[str, List[str]]] | Return fields, if not passed, the default is “open”, “high”, “low”, “close”, “volume” and “amount” | Optional |
| time_zone | Optional[tuple] | Time zone filtering, the format is (“HH:MM”, “HH:MM”), such as (“10:00”, “23:00”) | Optional |
| frequency | Optional[str] | Frequency, supports “1m”, “5m”, “10m”, “60m”, default is “1m” | Optional |
Response parameters
| Field | Type | Description |
|---|---|---|
| us_date | str | New York, USA date |
| us_datetime | str | New York, USA date and time |
| us_minute | str | New York time, United States (accurate to minute) |
| cn_date | str | Chinese date |
| cn_datetime | str | China date and time |
| cn_minute | str | China time (accurate to minute) |
| symbol | str | stock code |
| open | double | minute opening price |
| high | double | highest price per minute |
| low | double | lowest price per minute |
| close | double | minute closing price |
| volume | double | minute volume |
| amount | double | minute transaction amount |
| num_trades | double | Number of transactions per minute |
| high_yld | double | highest rate of return in minutes |
| low_yld | double | minute minimum rate of return |
| open_yld | double | minute opening yield |
| yield | double | minute closing yield |
| vwap | double | minute volume weighted average price |
| bid_high | double | Highest bid price |
| bid_low | double | lowest bid price |
| open_bid | double | opening bid price |
| bid | double | closing bid price |
| bid_nummov | double | Number of bid changes |
| ask_high | double | Highest selling price |
| ask_low | double | Lowest selling price |
| open_ask | double | opening ask price |
| ask | double | closing selling price |
| ask_nummov | double | Number of sell order changes |
Usage examples
Get the 1-minute line data of a single stock and use fields
import tqx_data
result = tqx_data.get_us_min(
symbol="AAPL.NB",
start_date="20260101",
end_date="20260131",
fields=["symbol", "date", "num_trades", "amount", "volume"],
frequency="1m",
time_zone=("10:00", "11:00")
)
print(result)
symbol us_date num_trades ... volume us_datetime us_minute
0 AAPL.NB 20260102 557.0 ... 96820.0 2026-01-02 10:00:00 100000
1 AAPL.NB 20260102 417.0 ... 80610.0 2026-01-02 10:01:00 100100
2 AAPL.NB 20260102 458.0 ... 88307.0 2026-01-02 10:02:00 100200
3 AAPL.NB 20260102 429.0 ... 84335.0 2026-01-02 10:03:00 100300
4 AAPL.NB 20260102 517.0 ... 93921.0 2026-01-02 10:04:00 100400
... ... ... ... ... ... ... ...
1215 AAPL.NB 20260130 327.0 ... 72088.0 2026-01-30 10:56:00 105600
1216 AAPL.NB 20260130 265.0 ... 62458.0 2026-01-30 10:57:00 105700
1217 AAPL.NB 20260130 507.0 ... 88342.0 2026-01-30 10:58:00 105800
1218 AAPL.NB 20260130 287.0 ... 51118.0 2026-01-30 10:59:00 105900
1219 AAPL.NB 20260130 504.0 ... 100017.0 2026-01-30 11:00:00 110000
Obtain 10-minute line data of multiple stocks
import tqx_data
result = tqx_data.get_us_min(
symbol=["AAPL.NB", "TSLE.NB"],
start_date="20260101",
end_date="20260131",
fields=[],
frequency="10m",
time_zone=("10:00", "11:00")
)
print(result)
symbol us_date ... us_datetime us_minute
0 AAPL.NB 20260102 ... 2026-01-02 10:00:00 100000
1 AAPL.NB 20260102 ... 2026-01-02 10:10:00 101000
2 AAPL.NB 20260102 ... 2026-01-02 10:20:00 102000
3 AAPL.NB 20260102 ... 2026-01-02 10:30:00 103000
4 AAPL.NB 20260102 ... 2026-01-02 10:40:00 104000
.. ... ... ... ... ...
275 TSLA.NB 20260130 ... 2026-01-30 10:20:00 102000
276 TSLA.NB 20260130 ... 2026-01-30 10:30:00 103000
277 TSLA.NB 20260130 ... 2026-01-30 10:40:00 104000
278 TSLA.NB 20260130 ... 2026-01-30 10:50:00 105000
279 TSLA.NB 20260130 ... 2026-01-30 11:00:00 110000