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https://github.com/jealous/cn_stock_src
Data source for stock data
https://github.com/jealous/cn_stock_src
Last synced: 28 days ago
JSON representation
Data source for stock data
- Host: GitHub
- URL: https://github.com/jealous/cn_stock_src
- Owner: jealous
- Created: 2015-08-22T13:45:20.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2016-11-09T16:45:26.000Z (almost 8 years ago)
- Last Synced: 2024-09-21T13:27:45.309Z (about 2 months ago)
- Language: HTML
- Size: 286 KB
- Stars: 35
- Watchers: 6
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- awesome-quant - cn_stock_src - Utility for retrieving basic China stock data from different sources. (Python / Data Sources)
- awesome-quant - cn_stock_src - Utility for retrieving basic China stock data from different sources. (Python / Data Sources)
README
# Stock data source for Chinese markets
[](https://travis-ci.org/jealous/cn_stock_src)
[](https://coveralls.io/github/jealous/cn_stock_src?branch=master)
## Introduction
Retrieve stock data from web interface and saved in pandas ``DataFrame``.
Tested on python 2.7
## Installation
``pip install cn_stock_src``
## Tutorial
* Get the latest trading data for stock indices.
Example:
```python
latest('sh600000', 'sh600238', 'sz000001')
```
Output:
```
name open close price high low volume amount \
sh600000 浦发银行 13.93 14.22 12.87 13.95 12.80 334859429 4.407389e+09
sh600238 海南椰岛 12.60 12.91 11.62 12.60 11.62 12069736 1.421766e+08
sz000001 平安银行 11.10 11.50 10.35 11.17 10.35 151802968 1.601529e+09
buy1_volume buy1_price ... sell2_volume sell2_price \
sh600000 981800 12.87 ... 71334 12.89
sh600238 0 0.00 ... 12913 11.63
sz000001 0 0.00 ... 284420 10.36
sell3_volume sell3_price sell4_volume sell4_price sell5_volume \
sh600000 241900 12.90 238100 12.91 37500
sh600238 2000 11.65 2300 11.68 9200
sz000001 68739 10.37 212580 10.38 57200
sell5_price date time
sh600000 12.92 20150824 15:03:04
sh600238 11.70 20150824 15:03:04
sz000001 10.39 20150824 15:05:55
[3 rows x 30 columns]
```
* Get the basic company information for stock indices.
Example:
```python
latest_company_info('sh600000', 'sh600238', 'sz000001')
```
Output:
```
type pinyin per-share earnings(year)
sh600000 A pfyh 2.521
sh600238 A hnyd 0.090
sz000001 A payh 1.730
per-share earnings(four quarters) per-share earnings(quarter)
sh600000 2.5877 1.2810
sh600238 0.0038 0.0033
sz000001 1.7603 0.8400
net assets per share unknown general capital(10,000Y)
sh600000 13.7120 6085.9750 1865347.1415
sh600238 1.9813 517.2827 44820.0000
sz000001 10.5400 3688.2195 1430867.6139
floating stock(10,000Y) floating A stock(10,000Y)
sh600000 1492277.7132 1492277.7132
sh600238 44473.1580 44473.1580
sz000001 1180405.4579 1180405.4579
floating B stock(10,000Y) currency annual net profit(10**8Y)
sh600000 0 CNY 470.2600
sh600238 0 CNY 0.4189
sz000001 0 CNY 198.0200
four quarters net profit(10**8Y) issue price unknown
sh600000 482.7300 10.0 1
sh600238 0.0178 4.1 1
sz000001 213.1500 40.0 1
return on equity quarter main business income(10**8Y)
sh600000 9.35 707.01
sh600238 0.17 1.88
sz000001 7.68 465.75
quarter net profit(10**8Y)
sh600000 239.0300
sh600238 0.0148
sz000001 115.8500
```
* Get the daily k-line for stock indices
Example:
```python
data = daily_k_line('sh600000', 'sh600238', 'sz000001')
data.next()
```
Output:
```
sh600000 open high low close volume adjClose
date
19991110 29.50000 29.80000 27.00001 27.74999 617827800 5.03743
19991111 27.57999 28.38001 27.52998 27.70999 104352900 5.03017
19991112 27.86001 28.30001 27.77000 28.04998 53263200 5.09189
... ... ... ... ... ... ...
20150819 14.87000 15.17000 14.50000 15.00000 199062100 15.00000
20150820 14.94000 14.99000 14.66000 14.68000 88124700 14.68000
20150821 14.61000 14.74000 14.20000 14.22000 123792800 14.22000
```
* Get history basic financial data of a stock (by season).
This result is parsed from html from netease. Use it with caution.
Example:
```python
financial_info('sh600238')
```
Output:
```
name per-share earnings net assets per share \
date
20150930 海南椰岛 -0.03 1.95
20150630 海南椰岛 0 None
20150331 海南椰岛 0 None
...
Net cash flow from operating activities per share \
date
20150930 -0.22
20150630 None
20150331 None
...
main business income(10**5) main business profit(10**5) \
date
20150930 6827 1967
20150630 9150 2929
20150331 9649 3658
...
operating profit(10**5) equity earnings(10**5) \
date
20150930 -2628 -759
20150630 -1232 -104
20150331 86 550
...
net non-operating income(10**5) total profit(10**5) \
date
20150930 None -1381
20150630 None -49
20150331 None 275
...
net margin(10**5) \
date
20150930 -1448
20150630 77
20150331 72
...
Net profit (ex. non recurring gains and losses)(10**5) \
date
20150930 None
20150630 None
20150331 None
...
Net cash flow from operating activities(10**5) \
date
20150930 -10066
20150630 -7532
20150331 -3412
...
Net increase in cash and cash equivalents(10**5) total assets(10**5) \
date
20150930 -7977 124629
20150630 -8384 126958
20150331 -912 137809
...
floating assets(10**5) gross liabilities(10**5) \
date
20150930 77675 37206
20150630 79353 38078
20150331 89095 49008
...
floating liabilities(10**5) shareholders interests(10**5) \
date
20150930 29585 87346
20150630 30422 88801
20150331 41316 88723
...
net assets yield weighted (%)
date
20150930 -1.48
20150630 0.17
20150331 0.08
...
per-share earnings net assets per share \
date
20150930 -0.03 1.95
20150630 0 None
20150331 0 None
...
Net cash flow from operating activities per share \
date
20150930 -0.22
20150630 None
20150331 None
...
main business income(10**5) main business profit(10**5) \
date
20150930 6827 1967
20150630 9150 2929
20150331 9649 3658
...
operating profit(10**5) equity earnings(10**5) \
date
20150930 -2628 -759
20150630 -1232 -104
20150331 86 550
...
net non-operating income(10**5) total profit(10**5) \
date
20150930 None -1381
20150630 None -49
20150331 None 275
...
net margin(10**5) \
date
20150930 -1448
20150630 77
20150331 72
...
Net profit (ex. non recurring gains and losses)(10**5) \
date
20150930 None
20150630 None
20150331 None
...
Net cash flow from operating activities(10**5) \
date
20150930 -10066
20150630 -7532
20150331 -3412
...
Net increase in cash and cash equivalents(10**5) total assets(10**5) \
date
20150930 -7977 124629
20150630 -8384 126958
20150331 -912 137809
...
floating assets(10**5) gross liabilities(10**5) \
date
20150930 77675 37206
20150630 79353 38078
20150331 89095 49008
...
floating liabilities(10**5) shareholders interests(10**5) \
date
20150930 29585 87346
20150630 30422 88801
20150331 41316 88723
...
net assets yield weighted (%)
date
20150930 -1.48
20150630 0.17
20150331 0.08
...
```
To file issue, please visit:
https://github.com/jealous/cn_stock_src
Contact author: