Index and Stock tick data with NSEpy

Swapnil Jariwala (~swapniljariwala)


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Description:

Simple library to download live and historical data from NSE's website. The data is directly available in Pandas Data-frames ready for analysis.

Simple example of fetching data from NSE's website and plotting SBI's price and volume history.

from nsepy.archives import get_price_history
df = get_price_history(stock = 'SBIN', start = '01-01-2015', end = '20-01-2015')
df[['Volume', 'Close']].plot( secondary_y = ['Volume'])

https://github.com/swapniljariwala/nsepy

Prerequisites:

  1. Basic knowledge of Python
  2. Basic familiarity with Pandas and Numpy

Content URLs:

https://github.com/swapniljariwala/nsepy

Speaker Info:

Swapnil Jariwala is currently working as a Project Manager at Wipro. He's an MBA from NITIE, Mumbai. He has also worked in defense projects while working at L & T.

His interest areas are mainly in use of Python in financial data analysis and building tools for Algorithm Trading.

Section: Library
Type: Open Space
Target Audience: Beginner
Last Updated:

Please find venue and time detail for your talks:

Venue: Nimhans 1st floor left side (We will put directions or some board to help you reach venue )

Time: 11:30 am - 12:00 noon

Date: 3rd Oct

Note: We will display the Open Space talks and time slot available in white board(board will be kept at ground floor on 2nd Oct and, 1st floor on 3rd and 4th Oct). If you want to change your time slots, please reach out the board and move your talk to available time slots.

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