Stock Market using Python

 "The stock market is a device for transferring money from the impatient to the patient." - Warren Buffett

Today we'll look into few ways for accessing the stock market. And we'll do this using Python!

Now, as we know that there are 2 stock exchange in India; BSE and NSE

So we'll get the data from both!

To begin with let's access the data from BSE first.

(P.S: I certainly like the 2nd and the 3rd method to access stock market!)

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* So, to import the BSE data we need to "pip install bsedata".

=> And then import the module,

=> Create an object to store the Driver Class

=> Then we need to do "getQuote('script_code')" where we need to provide a script code of a company which we need to access.

Just like here we have given;

=> And from here we can see that the script code was for the company named "V-MART". But we can't remember all the script code hence we need to download this script file from the BSE website.

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* The second method is from NSE, for this we need to "pip install nsepy".

=> We'll import the module;

=> And, with "get_history(symbol=' ', start=' ', end=' ')" (providing the essential parameters) save it into a variable called 'data'.

=> Now, here we are taking 'Previous Close'.

(``I find this method to be convenient!``)

And likewise we can get data of any stock;

Like here we've taken a stock of "SBI" from 31-01-2023 to 01-02-2023

And here we've taken 2  columns into account.

Let's take data of 'TATA MOTORS';

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* For the third method we'll use nsetools for which we need to "pip install nsetools".

=> Then let's first import required modules;

=> And just by 'get_quote(''company_name)' we can get the stock price of any company.

=> Now here we can also do top_gainers;

=> And top_losers of the day;

And by this we can see that accessing the stock market is pretty easy! 👍

To see the full document I'm providing the github link here: click here