Index and Stock tick data with NSEpy
Swapnil Jariwala (~swapniljariwala) |
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'])
- Basic knowledge of Python
- Basic familiarity with Pandas and Numpy
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.