Metadata-Version: 2.1 Name: stockquotes Version: 1.0.5 Summary: A simple module for retreiving stock data Home-page: UNKNOWN License: UNKNOWN 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. # Requirements * Python 3.6+ * Beautiful Soup 4 # Installation pip3 install stockquotes # Usage First, import the `stockquotes` module. import stockquotes To get a stock quote, instantiate a `stockquotes.Stock` object. The only parameter is the ticker symbol to look up. kroger = stockquotes.Stock('KR') ## Basic data To get the current price of a share, get the `Stock`'s `currentPrice`. krogerPrice = kroger.currentPrice To get the day gain in dollars, get the `Stock`'s `increaseDollars`. krogerGainDollars = kroger.increaseDollars The same value as a percent is available in the `increasePercent` property. To indicate losses, these values are negative. ## Historical data 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. # Exceptions `stockquotes.StockDoesNotExistError` is raised when the stock does not exist. `stockquotes.NetworkError` is raised when a connection to Yahoo! Finance cannot be established. # License Copyright (c) 2019 ScoopGracie. All rights reversed. This is free and unencumbered software released into the public domain. Anyone is free to copy, modify, publish, use, compile, sell, or distribute this software, either in source code form or as a compiled binary, for any purpose, commercial or non-commercial, and by any means. In jurisdictions that recognize copyright laws, the author or authors of this software dedicate any and all copyright interest in the software to the public domain. We make this dedication for the benefit of the public at large and to the detriment of our heirs and successors. We intend this dedication to be an overt act of relinquishment in perpetuity of all present and future rights to this software under copyright law. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. For more information, please refer to Platform: UNKNOWN Classifier: Programming Language :: Python :: 3 Classifier: Operating System :: OS Independent Requires-Python: >=3.0 Description-Content-Type: text/markdown