Market reference
Consensus estimates
Retrieve consensus estimates and analyst recommendations.
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Retrieve consensus estimates and analyst recommendations.
| Field | Type | Description | Is it required |
|---|---|---|---|
| symbol | Optional[Union[str, List[str]]] | Stock code | Optional |
| fields | Optional[Union[str, List[str]]] | Return fields | Optional |
| market | str | Market, supports hk, us, default is hk | required |
| Field | Type | Description |
|---|---|---|
| symbol | str | stock code |
| currency | str | currency unit |
| indicator | str | Indicator name: LTGROWTH is the long-term growth in the next 3 to 5 years, TP is the target price in the next 1 year |
| mean | double | predicted mean |
| median | double | predicted median |
| high | double | predicted highest value |
| low | double | predicted lowest value |
| std | double | forecast standard deviation |
| estimates_num | double | forecast number |
| included_estimates_num | double | Number of forecasts included in statistics |
import tqx_data
result = tqx_data.get_consensus_nonperiod(
market='hk',
symbol=[""],
fields=["indicator","mean","std_6month","high_week"]
)
print(result)
symbol indicator mean std_6month high_week
0 0001.HK LTGROWTH 4.60000 NaN 4.60
1 0001.HK TP 69.43333 1.50000 78.00
2 0002.HK LTGROWTH 2.70000 0.00000 2.70
3 0002.HK TP 77.02000 4.06262 86.64
4 0003.HK LTGROWTH 6.38000 0.00000 7.30
.. ... ... ... ... ...
972 9996.HK TP 9.43200 0.55741 10.66
973 9997.HK LTGROWTH NaN 0.00000 NaN
974 9997.HK TP NaN 0.00000 NaN
975 9999.HK LTGROWTH 4.80000 0.00000 4.80
976 9999.HK TP 235.88571 46.77894 289.00
| Field | Type | Description | Is it required |
|---|---|---|---|
| symbol | Optional[Union[str, List[str]]] | Stock code | Optional |
| fields | Optional[Union[str, List[str]]] | Return fields | Optional |
| market | str | Market, supports hk, us, default is hk | required |
| Field | Type | Description |
|---|---|---|
| symbol | str | stock code |
| currency | str | currency unit |
| mean | double | expected mean |
| median | double | expected median |
| high | double | expected highest value |
| low | double | expected lowest value |
| strong_buy_num | double | Number of strong buy recommendations |
| buy_num | double | Number of buy recommendations |
| hold | double | recommended number of positions |
| sell_num | double | Sell recommendation number |
| strong_sell_num | double | Number of strong sell recommendations |
| no_opinion_num | double | No opinion number |
| recommendations_num | double | total number of recommendations |
import tqx_data
result = tqx_data.get_consensus_recommend(
market='hk',
symbol=[""],
fields=["strong_buy_num","buy_num_week"]
)
print(result)
symbol strong_buy_num buy_num_week
0 0001.HK 2.0 5.0
1 0002.HK 1.0 2.0
2 0003.HK 1.0 2.0
3 0004.HK 0.0 2.0
4 0005.HK 3.0 6.0
.. ... ... ...
816 9992.HK 12.0 14.0
817 9995.HK 6.0 6.0
818 9996.HK 1.0 3.0
819 9997.HK NaN NaN
820 9999.HK 7.0 12.0