Python调用pytdx的代码示例

目录

• 安装pytdx
• 简单示范
• 一、基本行情接口索引
• 二、扩展行情接口API

安装pytdx

pip install pytdx

简单示范

from pytdx.hq import TdxHq_API
api = TdxHq_API()
# 数据获取接口一般返回list结构，
with api.connect('119.147.212.81', 7709):
# 返回普通list
    data = api.get_security_bars(9, 0, '000001', 0, 10) 
print(data)

输出结果

[OrderedDict([('open', 14.75), ('close', 14.8), ('high', 14.88), ('low', 14.52), php('vol', 1057659.0), ('amount', 1561368448.0), ('year', 2023), ('month', 1), ('day', 9), ('hour', 15), ('minute', 0), ('datetime', '2023-01-09 15:00')]), OrderedDict([('open', 14.76), ('close', 14.44), ('high', 14.89), ('low', 14.39), ('vol', 1269423.0), ('amount', 1851093760.0), ('year', 2023), ('month', 1), ('day', 10), ('hour', 15), ('minute', 0), ('datetime', '2023-01-10 15:00')]), OrderedDict([('open', 14.45), ('close', 14.67), ('high', 14.78), ('low', 14.39), ('vol', 830566.0), ('amount', 1217450752.0), ('year', 2023), ('month', 1), ('day', 11), ('hour', 15), ('minute', 0), ('datetime'javascript, '2023-01-11 15:00')]), OrderedDict([('open', 14.77), ('close', 14.67), ('high', 14.77), ('low', 14.53), ('vol', 625694.0), ('amount', 914367680.0), ('year', 2023), ('month', 1), ('day', 12), ('hour', 15), ('minute', 0), ('datetime', '2023-01-12 15:00')]), OrderedDict([('open', 14.67), ('close', 14.95), ('high', 14.95), ('low', 14.55), ('vol', 949085.0), ('amount', 1407181056.0), ('year', 2023), ('month', 1), ('day', 13), ('hour', 15), ('minute', 0), ('datetime', '2023-01-13 15:00')]), OrderedDict([('open', 14.95), ('close', 15.08), ('high', 15.28), ('low', 14.85), ('vol', 1560039.0), ('amount'js, 2356399872.0), ('year', 2023), ('month', 1), ('day', 16), ('hour', 15), ('minute', 0), ('datetime', '2023-01-16 15:00')]), OrderedDict([('open', 15.13), ('close', 14.97), ('high', 15.18), ('low', 14.77), ('vol', 935834.0), ('amount', 1396151552.0), ('year', 2023), ('month', 1), ('day', 17), ('hour', 15), ('minute', 0), ('datetime', '2023-01-17 15:00')]), OrderedDict([('open', 14.95), ('close', 15.11), ('high', 15.18), ('low', 14.91), ('vol', 718434.0), ('amount', 1083362944.0), ('year', 2023), ('month', 1), ('day', 18), ('hour', 15), ('minute', 0), ('datetime', '2023-01-18 15:00')]), OrderedDict([('open', 15.13), ('close', 15.09), ('high', 15.25), ('low', 14.87), ('vol', 641875.0), ('amount', 963744640.0), ('year', 2023), ('month', 1), ('day', 19), ('hour', 15), ('minute', 0), ('datetime', '2023-01-19 15:00')]), OrderedDict([('open', 15.16), ('close', 15.13), ('high', 15.24), ('low', 15.0), ('vol', 608590.0), ('amount', 920144832.0), ('year', 2023), ('month', 1), ('day', 20), ('hour', 15), ('minute', 0), ('datetime', '2023-01-20 15:00')])]

一、基本行情接口索引

1 : 获取股票行情

可以获取多只股票的行情信息

需要传入一个列表，每个列表由一个市场代码， 一个股票代码构成的元祖构成 [ (市场代码1， 股票代码1)，(市场代码2， 股票代码2) … (市场代码n， 股票代码n) ]

api.get_security_quotes([(0, '000001'), (1, '600300')])

2 : 获取k线

K线种类： 0 5分钟K线 1 15分钟K线 2 30分钟K线 3 1小时K线 4 日K线 5 周K线 6 月K线 7 1分钟 81分钟K线 9 日K线 10 季K线 11 年K线

api.get_security_bars(9,0, '000001', 4, 3)

3 : 获取市场股票数量

api.get_security_count(0)

4 : 获取股票列表

api.get_security_list(1, 0)

5 : 获取指数k线

api.get_index_bars(9,1, '000001', 1, 2)

6 : 查询分时行情

api.get_minute_time_data(1, '600300')

7 : 查询历史开发者_JS开发分时行情

api.get_history_minute_time_data(TDXParams.MARKET_SH, '600300', 20161209)

8 : 查询分笔成交

api.get_transaction_data(TDXParams.MARKET_SZ, '000001', hnFopisH0, 30)

9 : 查询历史分笔成交

api.get_history_transaction_data(TDXParams.MARKET_SZ, '000001', 0, 10, 20170209)

10 : 查询公司信息目录

api.get_company_info_category(TDXParams.MARKET_SZ, '000001')

11 : 读取公司信息详情

api.get_company_info_content(0, '000001', '000001.txt', 0, 100)

12 : 读取除权除息信息

api.get_xdxr_info(1, '600300')

13 : 读取财务信息

api.get_finance_info(0, '000001')

14 : 读取k线信息

get_k_data('000001','2017-07-03','2017-07-10')

15 ：读取板块信息

api.get_and_parse_block_info(TDXParams.BLOCK_SZ)

二、扩展行情接口API

from pytdx.exhq import *

1: 获取市场代码

api.get_markets()

2: 查询代码列表

api.get_instrument_info(0, 100)

3: 查询市场中商品数量

api.get_instrument_count()

4: 查询五档行情

api.get_instrument_quote(47, "IF1709")

5: 查询分时行情

api.get_minute_time_data(47, "IF1709")

6: 查询历史分时行情

api.get_history_minute_time_data(31, "00020", 20170811)

7: 查询k线数据

api.get_instrument_bars(TDXParams.KLINEpython_TYPE_DAILY, 8, "10000843", 0, 100)

8: 查询分笔成交

api.get_transaction_data(31, "00020")
api.get_history_transaction_data(47, "IFL0", 20170810, start=1800)

9: 查询历史分笔成交

api.get_history_transaction_data(31, "00020", 20170810)

到此这篇关于python调用pytdx的代码示例的文章就介绍到这了,更多相关Python调用pytdx内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们！