Skip to content

台灣股市股票價格擷取 (含即時股票資訊) - Taiwan Stock Opendata with realtime

License

Notifications You must be signed in to change notification settings

mlouielu/twstock

Repository files navigation

GitHub Actions Status Coverage Status PyPI version Documentation Status

有任何問題歡迎透過 Gitter.im 詢問。

twstock 台灣股市股票價格擷取

擷取台灣證券交易所之股價資料 重新製作 toomore/grs 之功能

資料來源:

(請注意,TWSE 有 request limit, 每 5 秒鐘 3 個 request,超過的話會被 ban 掉,請自行注意)

Documentation

Requirements

  • Python 3
  • lxml
  • requests

Install

By PyPi

$ python -m pip install --user twstock

By Source

$ git clone https://github.com/mlouielu/twstock
$ cd twstock
$ pipenv install

By Source & install

$ git clone https://github.com/mlouielu/twstock
$ cd twstock
$ python -m pip install --user flit
$ flit install

CLI Tools

$ twstock -b 2330 6223
四大買賣點判斷 Best Four Point
------------------------------
2330: Buy   量大收紅
6223: Sell  量縮價跌, 三日均價小於六日均價
$ twstock -s 2330 6223
-------------- 2330 ----------------
high : 215.0 214.0 210.0 210.5 208.5
low  : 212.0 211.0 208.0 208.5 206.5
price: 215.0 211.5 208.5 210.0 208.5
-------------- 2337 ----------------
high :  16.2  16.8  16.4 16.75 16.75
low  :  15.8  16.1 15.15  16.3 16.25
price: 15.95 16.25 16.25  16.6  16.7

Update Codes

當你第一次使用 twstock 時,你可以更新 TPEX 跟 TWSE 的列表,可以使用兩種方式更新:

  • By CLI
$ twstock -U
Start to update codes
Done!
  • By Python
>>> import twstock
>>> twstock.__update_codes()

Quick Start

分析計算

from twstock import Stock

stock = Stock('2330')                             # 擷取台積電股價
ma_p = stock.moving_average(stock.price, 5)       # 計算五日均價
ma_c = stock.moving_average(stock.capacity, 5)    # 計算五日均量
ma_p_cont = stock.continuous(ma_p)                # 計算五日均價持續天數
ma_br = stock.ma_bias_ratio(5, 10)                # 計算五日、十日乖離值

擷取自 2024 年 3 月至今之資料

stock = Stock('2330')
stock.fetch_from(2024, 3)

基本資料之使用

>>> stock = Stock('2330')
>>> stock.price
[203.5, 203.0, 205.0, 205.0, 205.5, 207.0, 207.0, 203.0, 207.0, 209.0, 209.0, 212.0, 210.5, 211.5, 213.0, 212.0, 207.5, 208.0, 207.0, 208.0, 211.5, 213.0, 216.5, 215.5, 218.0, 217.0, 215.0, 211.5, 208.5, 210.0, 208.5]
>>> stock.capacity
[22490217, 17163108, 17419705, 23028298, 18307715, 26088748, 32976727, 67935145, 29623649, 23265323, 1535230, 22545164, 15382025, 34729326, 21654488, 35190159, 63111746, 49983303, 39083899, 19486457, 32856536, 17489571, 28784100, 45384482, 26094649, 39686091, 60140797, 44504785, 52273921, 27049234, 31709978]
>>> stock.data[0]
Data(date=datetime.datetime(2017, 5, 18, 0, 0), capacity=22490217, turnover=4559780051, open=202.5, high=204.0, low=201.5, close=203.5, change=-0.5, transaction=6983)

台股證券編碼

>>> import twstock
>>> print(twstock.codes)                # 列印台股全部證券編碼資料
>>> print(twstock.codes['2330'])        # 列印 2330 證券編碼資料
StockCodeInfo(type='股票', code='2330', name='台積電', ISIN='TW0002330008', start='1994/09/05', market='上市', group='半導體業', CFI='ESVUFR')
>>> print(twstock.codes['2330'].name)   # 列印 2330 證券名稱
'台積電'
>>> print(twstock.codes['2330'].start)  # 列印 2330 證券上市日期
'1994/09/05'

使用 Proxy (基於 requests proxies)

# 單一 Proxy
>>> from twstock.proxy import SingleProxyProvider
>>> spr = SingleProxyProvider({'http': 'http://localhost:8080'})
>>> twstock.proxy.configure_proxy_provider(spr)

# 多個 Proxy
>>> from twstock.proxy import RoundRobinProxiesProvider
>>> proxies = [{'http': 'http://localhost:5000'}, {'http': 'http://localhost:5001'}]
>>> rrpr = RoundRobinProxiesProvider(proxies)
>>> twstock.proxy.configure_proxy_provider(rrpr)

# 變更 Proxy 表
>>> another_proxies = [{'http': 'http://localhost:8000'}, {'https': 'https://localhost:8001'}]
>>> rrpr.proxies = another_proxies

四大買賣點分析

from twstock import Stock
from twstock import BestFourPoint

stock = Stock('2330')
bfp = BestFourPoint(stock)

bfp.best_four_point_to_buy()    # 判斷是否為四大買點
bfp.best_four_point_to_sell()   # 判斷是否為四大賣點
bfp.best_four_point()           # 綜合判斷

即時股票資訊查詢

import twstock

twstock.realtime.get('2330')    # 擷取當前台積電股票資訊
twstock.realtime.get(['2330', '2337', '2409'])  # 擷取當前三檔資訊

使用範例

Contributing

twstock was created by Louie Lu <git@louie.lu>.

Contributing were welcome, please use GitHub issue and Pull Request to contribute!

歡迎協作,請使用 GitHub issue 以及 Pull Request 功能來協作。