scoopgracie
4 years ago
2 changed files with 1 additions and 71 deletions
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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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## 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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