71 lines
3.7 KiB
Plaintext
71 lines
3.7 KiB
Plaintext
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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## 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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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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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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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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For more information, please refer to <https://unlicense.org/>
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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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