NSEPython is a Python library to get publicly available data on the current NSEIndia and NIFTY Indices site by communicating with their REST APIs.

Support and Beta Functions

• If you have other doubts or want to check out the beta functions, visit the NSEPython Discussions forum.
• If you have feature requests, you can submit them at the NSEPython Feature Request forum.

Versions

There are two versions of NSEPython depending on the execution environment. While it's technically feasible to combine these versions into a single program, doing so could introduce latency. Given the financial nature of this program, time is of the essence.

NSEPython Edition	Compatibility	Tested Environments
Local Edition	Laptops (Windows 9, 10)	Windows 9, Windows 10
Server Edition	Servers (AWS, Google Colab, DigitalOcean)	AWS, Google Colab, DigitalOcean

Installation

Use the package manager pip to install nsepython.

NSEPython Local Edition

Access NSEPython for laptops, specifically tailored for Windows 9 and Windows 10 compatibility.

pip install nsepython

NSEPython Server Edition

Leverage NSEPython designed for server environments, seamlessly functioning on AWS, Google Colab, and DigitalOcean.

pip install nsepythonserver

Demo Video

• Fetch data from nse website | Historical data |bhav copy | part 1

fetches the price history of stocks

fetches the price history of derivatives

Daily Bhav Copy

Index Historical PE, PB and Dividend Ratio

• How to pull Option Chain Data | Analyzing data | Expiry Dates | part 2

Fetch the expiry date of derivative contracts

Fetch the historical expiry date of derivative contracts

Fetch Option chain data

Options Chain Analysis

All Expiry Option Chain Data

• How to scrape live Quotes from nse website | Volatility/delivery |live ltp | part 3

All equities in a single list

Getting live equities Quotes

Getting Volatility/delivery data

Getting live ltp

Getting live derivative Quotes

• How to extract daily stock data from nse website | Pre Market Data |NSE Deals | part 4

Find NSE Large Deals

NSE FNO Participant Wise OI API

NSE Most Active / Top Gainers / Top Looser / Most Active by Volume / Most Active by Value

Fetch pre-open market data

Stock Beta / NSE Holiday / Event Calendar / Company Results / Stocks that hit Upper circuit / Stocks that hit Lower circuit / Large Deals

FII and DII trades data / Lot Size

Cross Library Migration

All the functions from the two renowned packages, NsepY and NSETools, have been migrated here with the same function names. Both of these packages had been left unmaintained for a considerable period.

Advanced Usecases

Mastering AlgoTrading: A Beginner's Guide using NSEPython

• Candlestick Charts in Python with NSEPython and Plotly
• Calculate any Option Greek using Black Scholes Formula in Python
• How to find the beta of Indian stocks using Python?
• How to get Historical PE, PB and Dividend Ratio of any index using Python

Designing an Index Fund From Scratch in Indian Share Market

• Building An Market-Weight Adjusted N50 Index Fund – Part I
• Building An Market-Weight Adjusted N50 Index Fund – Part II
• How to calculate NIFTY 50 value from the stock prices in Python

Coding Heatmap and ORB

• Creating Dynamic Heatmap for Indian Stock Market
• Coding Heatmap Opening Range Breakout Strategy in Python – Part 1
• Coding Heatmap Opening Range Breakout Strategy in Python – Part 2

Markov Chain

• Stochastic Modeling in Stock Market
• Application of Markov Chains in Stock Market
• Markov Chains in Stock Market Using Python – Getting Transition Matrix​
• How to do Random Walk using NSEPython in Indian Stock Market
• Markov Chain and Linear Algebra – Calculation of Stationary Distribution using Python​
• Find the Equilibrium Matrix in Markov Chain using Python in Indian Stock Market

Leverage

In Leverage, a plethora of trader-focused tools has been meticulously crafted using NSEPython.

Here's an illustration of a Sectoral Heatmap, showcasing the extent of complexity that NSEPython API can effortlessly handle.