Metadata-Version: 2.1
Name: bselib
Version: 0.0.5
Summary: A package for stocks data listed on Bombay Stock Exchange
Home-page: https://github.com/Sachin-Kahandal/bselib
Author: Sachin Kahandal
Author-email: sachinkahandal142@gmail.com
License: MIT
Description: # bselib
        
        Python library for extracting real-time data from Bombay Stock Exchange (India).
        
        ## Introduction
        
        bselib is a library that collects real-time data from Bombay Stock Exchange (India) and 
        historical data from some other sites. It can be used in various types of projects which 
        require getting live quotes, historical data at some extent, corporate news and their actions,
        ratios, financial statements, credit reports and analysis. Stock simulator and Portfolio management for an example 
        
        The quote is as accurate as provided on the [BSE website](m.bseindia.com).
        
        > **Please do not use this application for production usage. It is best used for learning and building application for your own use. For commercial application you better buy a data service.**
        >
        > **This library uses MIT license hence liability lies with the user and not the author of the application.**
        
        
        ## Features:
        
        * Getting live quotes using companies script codes.
        * Getting script codes by search.
        * Getting list of top gainers and losers.
        * Getting quotes for all the stocks listed on BSE.
        * Getting historical summary of corporate's quarterly results, balance sheets, profit-loss and cash-flow statements.
        * Getting analysis of finacial statements, quarterly and  annual results, balacesheets and cashflows. 
        * Getting information about corporate's board meetings, dividends, bonus, splits, and rights issued.
        * Getting links of credit reports from ICRA and CARE rating agencies.
        * Getting corporate's shareholding information.
        * Getting corporate's and it's peer's comparisons.
        * Getting links of histoarical annual results.
        * Getting news related to corporate.
        * Getting different financial ratios of corporate.
        * Getting analysis regarding corporates performance and valuation. 
        * Getting corporates basic business information.
        
        ## Usage
        
        Refer the documentation at https://bselib.readthedocs.io/en/latest/
        
        ## Dependencies
        
        * [BeautifulSoup 4](https://www.crummy.com/software/BeautifulSoup/bs4/doc/)
        * [Requests](http://docs.python-requests.org/en/master/)
        * [Pandas](https://pandas.pydata.org/docs/index.html)
        * [Html5lilb](https://html5lib.readthedocs.io/en/latest/)
        * A fast internet connection.
        
        ## Acknowledgement
        
        * Eknath Salvi Sir
        
        ## License
        
        MIT License
        
        Copyright (c) 2020 Sachin Kahandal
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        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 OR COPYRIGHT HOLDERS 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.
         
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Description-Content-Type: text/markdown
