tushare
TuShare is a utility for crawling historical data of China stocks
BSD-3-CLAUSE License
Stars
12.8K
Ecosystems:
Python
TuShare
Tushare Pro https://tushare.pro
TuShare/******** ****,
TuSharetushare
- 14934432
- 658562506
- 665480579
- () 527416821
Dependencies
python 2.x/3.x
Installation
- 1pip install tushare
- 2python setup.py install
- 3https://pypi.python.org/pypi/tushare/
Upgrade
pip install tushare --upgrade
Quick Start
Example 1.
import tushare as ts
ts.get_hist_data('600848') #
get_k_data
5102051020
open high close low volume p_change ma5 \
date
2012-01-11 6.880 7.380 7.060 6.880 14129.96 2.62 7.060
2012-01-12 7.050 7.100 6.980 6.900 7895.19 -1.13 7.020
2012-01-13 6.950 7.000 6.700 6.690 6611.87 -4.01 6.913
2012-01-16 6.680 6.750 6.510 6.480 2941.63 -2.84 6.813
2012-01-17 6.660 6.880 6.860 6.460 8642.57 5.38 6.822
2012-01-18 7.000 7.300 6.890 6.880 13075.40 0.44 6.788
2012-01-19 6.690 6.950 6.890 6.680 6117.32 0.00 6.770
2012-01-20 6.870 7.080 7.010 6.870 6813.09 1.74 6.832
ma10 ma20 v_ma5 v_ma10 v_ma20 turnover
date
2012-01-11 7.060 7.060 14129.96 14129.96 14129.96 0.48
2012-01-12 7.020 7.020 11012.58 11012.58 11012.58 0.27
2012-01-13 6.913 6.913 9545.67 9545.67 9545.67 0.23
2012-01-16 6.813 6.813 7894.66 7894.66 7894.66 0.10
2012-01-17 6.822 6.822 8044.24 8044.24 8044.24 0.30
2012-01-18 6.833 6.833 7833.33 8882.77 8882.77 0.45
2012-01-19 6.841 6.841 7477.76 8487.71 8487.71 0.21
2012-01-20 6.863 6.863 7518.00 8278.38 8278.38 0.23
ts.get_hist_data('600848',start='2015-01-05',end='2015-01-09')
open high close low volume p_change ma5 ma10 \
date
2015-01-05 11.160 11.390 11.260 10.890 46383.57 1.26 11.156 11.212
2015-01-06 11.130 11.660 11.610 11.030 59199.93 3.11 11.182 11.155
2015-01-07 11.580 11.990 11.920 11.480 86681.38 2.67 11.366 11.251
2015-01-08 11.700 11.920 11.670 11.640 56845.71 -2.10 11.516 11.349
2015-01-09 11.680 11.710 11.230 11.190 44851.56 -3.77 11.538 11.363
ma20 v_ma5 v_ma10 v_ma20 turnover
date
2015-01-05 11.198 58648.75 68429.87 97141.81 1.59
2015-01-06 11.382 54854.38 63401.05 98686.98 2.03
2015-01-07 11.543 55049.74 61628.07 103010.58 2.97
2015-01-08 11.647 57268.99 61376.00 105823.50 1.95
2015-01-09 11.682 58792.43 60665.93 107924.27 1.54
ts.get_h_data('002337') #
ts.get_h_data('002337',autype='hfq') #
ts.get_h_data('002337',autype=None) #
ts.get_h_data('002337',start='2015-01-01',end='2015-03-16') #
Example 2.
ts.get_today_all()
code name changepercent trade open high low settlement \
0 002738 10.023 19.32 19.32 19.32 19.32 17.56
1 300410 10.022 25.03 25.03 25.03 25.03 22.75
2 002736 10.013 16.37 16.37 16.37 16.37 14.88
3 300412 10.010 31.54 31.54 31.54 31.54 28.67
4 300411 10.007 29.68 29.68 29.68 29.68 26.98
5 603636 10.006 38.15 38.15 38.15 38.15 34.68
6 002664 10.004 30.68 29.00 30.68 28.30 27.89
7 300367 10.004 86.76 78.00 86.76 77.87 78.87
8 601299 10.000 11.44 11.44 11.44 11.29 10.40
9 601880 10.000 5.72 5.34 5.72 5.22 5.20
10 000856 10.000 8.91 8.18 8.91 8.18 8.10
volume turnoverratio
0 375100 1.25033
1 85800 0.57200
2 1058925 0.08824
3 69400 0.51791
4 252220 1.26110
5 1374630 5.49852
6 6448748 9.32700
7 2025030 6.88669
8 433453523 4.28056
9 323469835 9.61735
10 25768152 19.51090
Example 3.
import tushare as ts
df = ts.get_tick_data('600848',date='2014-01-09')
df.head(10)
()
Out[3]:
time price change volume amount type
0 15:00:00 6.05 -- 8 4840
1 14:59:55 6.05 -- 50 30250
2 14:59:35 6.05 -- 20 12100
3 14:59:30 6.05 -0.01 165 99825
4 14:59:20 6.06 0.01 4 2424
5 14:59:05 6.05 -0.01 2 1210
6 14:58:55 6.06 -- 4 2424
7 14:58:45 6.06 -- 2 1212
8 14:58:35 6.06 0.01 2 1212
9 14:58:25 6.05 -0.01 20 12100
10 14:58:05 6.06 -- 5 3030
Example 4. (Realtime Quotes Data)
df = ts.get_realtime_quotes('000581') #Single stock symbol
df[['code','name','price','bid','ask','volume','amount','time']]
...more in docs
code name price bid ask volume amount time
0 000581 31.15 31.14 31.15 8183020 253494991.16 11:30:36
30
ts.get_realtime_quotes(['600848','000980','000981']) #symbols from a list
ts.get_realtime_quotes(df['code'].tail(10)) #from a Series
========
Change Logs
1.2.17 2018/11/24
- Pro
- ProA/
- Propro_bar///
1.2.15 2018/10/15
- pro_bar
- set_token
1.2.12 2018/08/10
- Pro
- Prohttps://tushare.pro
1.0.5 2017/11/12
- bug
1.0.2 2017/10/29
- barETF
- tick
- bug
0.9.2 2017/09/13
- ,okcoin
- bug
0.8.8 2017/08/29
- get_day_all
- BDI
0.8.0 2017/06/05
- 6debugo
- bug
0.7.6 2017/05/16
- get_today_all
- forecast_data mac
0.7.0 2017/03/12
- get_today_all
0.6.2 2016/12/03
- top10_holders
- global_realtime
- bug
0.6.1 2016/11/22
- get_k_databug
0.5.6 2016/11/06
- get_k_data(tushare)
- bug
0.5.1 2016/10/16
- bug
0.4.9 2016/03/26
- get_industry_classified(standard='sw')
- trade_cal()
- bug
0.4.3 2015/12/24
- bug
0.4.1 2015/11/27
- sina
- bug
0.3.9 2015/10/13
0.3.8 2015/09/19
- 300
- bug
0.3.5 2015/07/27
0.3.4 2015/06/15
-
-
get_h_datafloat
-
get_indexopen
-
GitHubbug
0.2.8 2015/04/28
- get_h_databug
0.2.6
- null300
0.2.5 2015/04/16
- python2.xpython3.x
- 500
- bug
0.2.3 2015/04/11
- columnbug
0.2.0 2015/03/17
- 300
- 50
- float
0.1.9 2015/02/06
0.1.6 2015/01/27
- docs
0.1.5 2015/01/26
0.1.3 2015/01/13
- Done for crawling Realtime Quotes data
0.1.1 2015/01/11
- tick