scoopgracie
4 years ago
6 changed files with 77 additions and 151 deletions
@ -1,16 +1,17 @@
|
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import setuptools |
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with open('README.md', 'r') as fh: |
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long_description = fh.read() |
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|
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with open("README.md", "r") as fh: |
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long_description = fh.read() |
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setuptools.setup( |
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name='stockquotes', |
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version='1.0.5', |
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description='A simple module for retreiving stock data', |
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long_description=long_description, |
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long_description_content_type="text/markdown", |
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packages=setuptools.find_packages(), |
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classifiers=[ |
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"Programming Language :: Python :: 3", |
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"Operating System :: OS Independent" |
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], |
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python_requires='>=3.0' |
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name="stockquotes", |
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version="2.0.0", |
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description="A simple module for retreiving stock data", |
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long_description=long_description, |
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long_description_content_type="text/markdown", |
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packages=setuptools.find_packages(), |
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classifiers=[ |
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"Programming Language :: Python :: 3", |
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"Operating System :: OS Independent", |
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], |
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python_requires=">=3.5", |
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) |
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@ -1,70 +0,0 @@
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Metadata-Version: 2.1 |
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Name: stockquotes |
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Version: 1.0.5 |
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Summary: A simple module for retreiving stock data |
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Home-page: UNKNOWN |
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License: UNKNOWN |
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Description: `stockquotes` is a simple Python module for collecting stock quotes and historical data from Yahoo! Finance. It's perfect for developers who can't afford the (often steep) prices charged by many stock data APIs. |
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# Requirements |
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* Python 3.6+ |
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* Beautiful Soup 4 |
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# Installation |
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pip3 install stockquotes |
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# Usage |
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First, import the `stockquotes` module. |
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import stockquotes |
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To get a stock quote, instantiate a `stockquotes.Stock` object. The only parameter is the ticker symbol to look up. |
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kroger = stockquotes.Stock('KR') |
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## Basic data |
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To get the current price of a share, get the `Stock`'s `currentPrice`. |
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krogerPrice = kroger.currentPrice |
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To get the day gain in dollars, get the `Stock`'s `increaseDollars`. |
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krogerGainDollars = kroger.increaseDollars |
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The same value as a percent is available in the `increasePercent` property. To indicate losses, these values are negative. |
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|
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## Historical data |
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The historical data for a stock can be accessed through the `Stock`'s `historical` property. This is an array of `dict`s, with the first item representing the most recent quote. The `dict`'s `date` property is a `datetime` object representing the date the quote is from. `open` is the opening price for that day. `high` and `low` are the high and low prices, respectively, for that day. `close` and `adjClose` are the closing price. The difference is that `adjClose` is adjusted for splits and dividends, whereas `close` is adjusted only for splits. `volume` is the stock's volume for that day. |
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# Exceptions |
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`stockquotes.StockDoesNotExistError` is raised when the stock does not exist. |
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`stockquotes.NetworkError` is raised when a connection to Yahoo! Finance cannot be established. |
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# License |
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Copyright (c) 2019 ScoopGracie. All rights reversed. |
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This is free and unencumbered software released into the public domain. |
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|
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Anyone is free to copy, modify, publish, use, compile, sell, or |
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distribute this software, either in source code form or as a compiled |
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binary, for any purpose, commercial or non-commercial, and by any |
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means. |
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|
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In jurisdictions that recognize copyright laws, the author or authors |
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of this software dedicate any and all copyright interest in the |
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software to the public domain. We make this dedication for the benefit |
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of the public at large and to the detriment of our heirs and |
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successors. We intend this dedication to be an overt act of |
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relinquishment in perpetuity of all present and future rights to this |
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software under copyright law. |
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|
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, |
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF |
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. |
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IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR |
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OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, |
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ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR |
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OTHER DEALINGS IN THE SOFTWARE. |
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|
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For more information, please refer to <https://unlicense.org/> |
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|
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Platform: UNKNOWN |
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Classifier: Programming Language :: Python :: 3 |
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Classifier: Operating System :: OS Independent |
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Requires-Python: >=3.0 |
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Description-Content-Type: text/markdown |
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@ -1,8 +0,0 @@
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README.md |
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setup.py |
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stockquotes/__init__.py |
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stockquotes/script.py |
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stockquotes.egg-info/PKG-INFO |
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stockquotes.egg-info/SOURCES.txt |
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stockquotes.egg-info/dependency_links.txt |
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stockquotes.egg-info/top_level.txt |
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@ -1,97 +1,102 @@
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#!/usr/bin/env python3 |
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#stockquotes - Python module to pull stock quotes from Yahoo! Finance |
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#Copyright 2020 ScoopGracie. All rights reversed. |
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#This is free and unencumbered software released into the public domain. |
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|
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#Anyone is free to copy, modify, publish, use, compile, sell, or |
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#distribute this software, either in source code form or as a compiled |
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#binary, for any purpose, commercial or non-commercial, and by any |
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#means. |
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|
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#In jurisdictions that recognize copyright laws, the author or authors |
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#of this software dedicate any and all copyright interest in the |
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#software to the public domain. We make this dedication for the benefit |
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#of the public at large and to the detriment of our heirs and |
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#successors. We intend this dedication to be an overt act of |
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#relinquishment in perpetuity of all present and future rights to this |
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#software under copyright law. |
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|
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#THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, |
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#EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF |
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#MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. |
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#IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR |
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#OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, |
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#ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR |
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#OTHER DEALINGS IN THE SOFTWARE. |
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# stockquotes - Python module to pull stock quotes from Yahoo! Finance |
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# Copyright 2020 ScoopGracie. All rights reversed. |
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# This is free and unencumbered software released into the public domain. |
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# |
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# Anyone is free to copy, modify, publish, use, compile, sell, or |
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# distribute this software, either in source code form or as a compiled |
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# binary, for any purpose, commercial or non-commercial, and by any |
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# means. |
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# |
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# In jurisdictions that recognize copyright laws, the author or authors |
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# of this software dedicate any and all copyright interest in the |
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# software to the public domain. We make this dedication for the benefit |
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# of the public at large and to the detriment of our heirs and |
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# successors. We intend this dedication to be an overt act of |
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# relinquishment in perpetuity of all present and future rights to this |
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# software under copyright law. |
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# |
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, |
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# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF |
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# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. |
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# IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR |
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# OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, |
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# ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR |
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# OTHER DEALINGS IN THE SOFTWARE. |
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|
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from bs4 import BeautifulSoup as bs |
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import requests |
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import datetime |
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class StockDoesNotExistError(Exception): |
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pass |
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|
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class NetworkError(Exception): |
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pass |
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|
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class Stock: |
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def __init__(self, ticker): |
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try: |
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r=requests.get( |
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'https://finance.yahoo.com/quote/{}/history'\ |
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.format(ticker), |
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headers={ |
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'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64)' + |
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' AppleWebKit/537.36 (KHTML, like Gecko)' + |
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' Chrome/79.0.3941.4 Safari/537.36' |
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}) |
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r = requests.get( |
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"https://finance.yahoo.com/quote/{}/history".format(ticker), |
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headers={ |
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3941.4 Safari/537.36" |
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}, |
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) |
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except: |
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raise NetworkError() |
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if r.status_code is 302: |
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raise StockDoesNotExistError(ticker) |
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try: |
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soup = bs(r.text, features="lxml") |
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self.symbol = soup.h1.string.split('(')[1].split(')')[0] |
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self.name = soup.h1.string.split('(')[0].strip() |
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rows = soup.table.tbody.find_all('tr') |
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self.historical=[] |
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self.symbol = soup.h1.string.split("(")[1].split(")")[0] |
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self.name = soup.h1.string.split("(")[0].strip() |
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rows = soup.table.tbody.find_all("tr") |
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self.historical = [] |
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for i in rows: |
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row=i.find_all('td') |
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row = i.find_all("td") |
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try: |
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parsed = { |
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"date" : datetime.datetime.strptime( |
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row[0].span.string, |
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'%b %d, %Y' |
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"date": datetime.datetime.strptime( |
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row[0].span.string, "%b %d, %Y" |
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), |
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"open": float(row[1].span.string.replace(',', '')), |
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"high": float(row[2].span.string.replace(',', '')), |
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"low": float(row[3].span.string.replace(',', '')), |
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"close": float(row[4].span.string.replace(',', '')), |
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"open": float(row[1].span.string.replace(",", "")), |
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"high": float(row[2].span.string.replace(",", "")), |
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"low": float(row[3].span.string.replace(",", "")), |
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"close": float(row[4].span.string.replace(",", "")), |
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"adjusted_close": float( |
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row[5].span.string.replace(',', '')), |
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"volume": int(row[6].span.string.replace(',', '')) |
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row[5].span.string.replace(",", "") |
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), |
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"volume": int(row[6].span.string.replace(",", "")), |
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} |
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except: |
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continue |
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|
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self.historical.append(parsed) |
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top_data = soup.find(id='quote-header-info') |
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top_data = soup.find(id="quote-header-info") |
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try: |
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self.current_price = float( |
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top_data.findAll('span')[11].string.replace(',', '')) |
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raw_change = top_data.findAll('span')[12].string |
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top_data.findAll("span")[11].string.replace(",", "") |
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) |
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raw_change = top_data.findAll("span")[12].string |
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except IndexError: |
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self.current_price = float( |
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top_data.findAll('span')[3].string.replace(',', '')) |
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raw_change = top_data.findAll('span')[4].string |
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|
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top_data.findAll("span")[3].string.replace(",", "") |
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) |
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raw_change = top_data.findAll("span")[4].string |
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self.increase_dollars = float( |
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raw_change.split(' ')[0].replace(',', '')) |
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raw_change.split(" ")[0].replace(",", "") |
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) |
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self.increase_percent = float( |
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raw_change.split(' ')[1]\ |
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.replace(',', '')\ |
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.replace('(', '')\ |
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.replace(')', '')\ |
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.replace('%', '')) |
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raw_change.split(" ")[1] |
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.replace(",", "") |
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.replace("(", "") |
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.replace(")", "") |
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.replace("%", "") |
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) |
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except AttributeError as error: |
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raise StockDoesNotExistError(ticker) from error |
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|
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