使用tushare获取A股数据保存到mongodb并提供本��接口访问
create cache directory
cd carp ; mkdir cache
mongodb -f mongodb.confcontext.sync_history_bar()- 获取某只股票的详细信息
basic = context.get_basic()
basic.info('000002')area 深圳
bvps 10.54
esp 1.005
fixedAssets 685739
gpr 31.73
holders 208975
industry 全国地产
liquidAssets 8.99749e+07
name 万 科Ａ
npr 9.47
outstanding 97.09
pb 3.1
pe 24.36
perundp 5.76
profit 34.23
reserved 905916
reservedPerShare 0.82
rev 0.04
timeToMarket 1991-01-29
totalAssets 1.01838e+08
totals 110.39
undp 6.35703e+06
Name: 000002, dtype: object- 获取市场基本数据
basic = context.get_basic()
basic.df() area bvps esp fixedAssets gpr holders industry liquidAssets \
code
000882 北京 2.84 0.011 5505.55 36.91 138416.0 百货 322886.03
600635 上海 2.47 0.121 405055.38 14.68 202454.0 供气供热 628222.56
002702 福建 1.60 -0.052 31236.58 29.26 55226.0 食品 58924.83
000909 浙江 3.40 0.087 1989.45 11.83 33316.0 综合类 379352.22
600895 上海 5.41 0.255 1479.16 46.54 122383.0 园区开发 862835.88
600213 江苏 0.71 0.112 23624.40 16.84 26421.0 汽车整车 454487.75
603778 北京 1.92 0.067 993.25 23.82 35005.0 建筑施工 160503.88
600865 浙江 4.64 0.155 14625.50 27.01 28719.0 百货 48666.62
300390 江苏 2.41 0.066 25445.63 20.95 16371.0 元器件 43705.53
002208 安徽 5.10 0.069 6756.07 26.76 34015.0 区域地产 1148314.00
...
name npr ... pe perundp profit reserved \
code ...
000882 华联股份 3.89 ... 240.29 0.07 -76.12 465522.50
600635 大众公用 10.69 ... 31.99 0.51 -18.54 109635.42
002702 海欣食品 -4.18 ... 0.00 0.33 -409.12 23162.76
000909 数源科技 1.81 ... 94.32 0.68 20.19 47205.76
600895 张江高科 57.45 ... 42.95 2.07 1.72 263649.78
600213 亚星客车 1.83 ... 76.65 -2.06 -43.38 34209.40
...
reservedPerShare rev timeToMarket totalAssets totals \
code
000882 1.70 -0.25 1998-06-16 1399492.25 27.37
600635 0.37 -0.76 1993-03-04 1994932.25 29.52
002702 0.48 0.88 2012-10-11 102808.57 4.81
000909 1.51 49.28 1999-05-07 449869.56 3.12
600895 1.70 -54.38 1996-04-22 1941576.63 15.49
...- 获取某只股票的日K
context.get_date_bars('000002', '2015-11-11', '2018-05-11', freq = util.FREQ_DAY) amount close datetime high low open tor vol
0 8.899396e+08 27.94 2018-05-11 28.19 27.73 28.10 0.33 318303.0
1 1.204133e+09 28.07 2018-05-10 28.53 27.70 28.32 0.44 429639.0
2 1.152922e+09 28.20 2018-05-09 28.50 28.00 28.50 0.42 409030.0
3 1.857899e+09 28.69 2018-05-08 28.86 27.33 27.40 0.68 655817.0
4 1.110388e+09 27.38 2018-05-07 27.51 26.72 27.01 0.42 408453.0
5 1.154815e+09 26.91 2018-05-04 27.56 26.81 27.26 0.44 425383.0
6 1.466857e+09 27.33 2018-05-03 27.66 26.56 27.65 0.56 542419.0
7 1.111293e+09 27.68 2018-05-02 28.66 27.63 28.40 0.41 397170.0
8 1.071392e+09 28.40 2018-04-27 28.75 27.42 28.66 0.39 381958.0
...
context.get_count_bars('000002', None, limit = 5, freq = util.FREQ_DAY) amount close datetime high low open tor vol
0 1.951842e+09 27.99 2018-06-15 28.30 27.33 27.37 0.72000 698195.00
1 9.804182e+08 27.37 2018-06-14 27.76 27.12 27.48 0.37000 357604.00
2 1.680584e+09 27.64 2018-06-13 28.25 27.31 27.41 0.62000 602843.00
3 1.376049e+09 27.71 2018-06-12 27.83 27.23 27.57 0.51000 498372.00
4 1.437706e+09 27.31 2018-06-11 27.73 26.68 26.74 0.54000 526436.00
...
- sample render
r = render.StockBarRender.create('000002', '2017-10-10', '2018-03-20', util.FREQ_DAY)
page = render.WebPage('test')
page.add(r)
page.show()
- 添加其他��期数据