Context The Dataset here is the CSV (Comma Separated Value) formatted data of 1000+ Indian companies' historical stock data which are listed on NSE web scrapped using python. This data helps the community to dive into algorithmic trading using the ML techniques and can be used for any task. Hope this will be of great use for everyone. Content This dataset(.zip) is a collection of numerous CSV formatted files that are in format of ['Date','Open','high','low','close','adj close','volume']. I've acquired this data using the yahoo finance v7 server using the python requests and a bit of pre-processing. - Maruti_data.csv is the sample data of Maruti stock data from 2003-07 to till data (updated on 18-Feb-2018) . - Companies_dict.d is the python pickle dictionary variable to get company name from the SYMBOL or name if the csv file. You can load this using the pickle library and get the actual company SYMBOL to Legal Name. `e.g.Python Code` ` Symbol2Name = pickle.load(open('company_symbol_name_dict.d','rb'))` `print(Symbol2Name['MARUTI']) #Will give you Maruti_Suzuki_India_Ltd` Acknowledgements I would like to thank this [githubrepo](https://github.com/sjev/trading-with-python.git) for making the python file this script of mine is based on. Inspiration I would love to see many people like me to get their hands dirty with this data and use it effectively to correlate the inter relationships among the companies.