Metadata-Version: 2.1
Name: dse-data-loader
Version: 0.0.1
Summary: This is a tool to download stock price data of Dhaka Stock Exchange.
Home-page: https://github.com/skfarhad/algo-trading/tree/master/dse_data_loader
Author: Sk Farhad
Author-email: sk.farhad.eee@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/skfarhad/algo-trading/issues
Description: ## Description
        This is a Python library based on *beautifulsoup4* and *pandas* to 
        download price data and fundamental data of companies from  Dhaka Stock Exchange.
        <br/>This can assist you to create further analyses based on fundamental and price history data.
        ##Installation
        ```
        pip install dse-data-loader
        
        ```
        ##Usage
        
        Downloading fundamental data-
        
        ```
        from dse_data_loader import FundamentalData
        loader = FundamentalData()
        
        loader.save_company_data(['ACI'])
        
        ```
        The above code will crete two files named 'company_data.csv' & 'financial_data.csv' in current folder.
        The file named company_data.csv contains the fundamental data for current year
        financial_data.csv contains year wise fundmental data according to [DSE website](http://dsebd.org).
        
        Downloading history price data-
        
        ```
        from dse_data_loader import PriceData
        loader = PriceData()
        
        loader.save_history_csv('ACI', file_name='ACI_history.csv')
        ```
        
        The above code will create a file named- 'ACI_history.csv'. 
        It'll contain historical price data for ACI Limited. 'ACI' is the stock symbol.
        
        
        Downloading current price data for all symbols-
        ```
        from dse_data_loader import PriceData
        loader = PriceData()
        
        loader.save_current_csv(file_name='current_data.csv')
        ```
        The above code will create a file named- 'ACI_history.csv'. It'll contain current price data for all symbols.
        
        This is the minimal documentation. It'll be improved continuously (hopefully!). 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
