library to get NSE India data
Project description
NSElib 0.5
Python Library to get publicly available data on new NSE india website.
Release Notes
- Compatible and Tested with Python 3.8 and above
- Future release will be done on requirement basic
Libraries Required
- requests
- beautifulsoup
- numpy
- scipy
- pandas
- lxml
For Windows systems you can install Anaconda, this will cover many dependencies (You'll have to install requests and beautifulsoup additionally though)
Installation
Fresh installation
$pip install nselib
Upgrade
$pip install nselib --upgrade
Function list
nselib
- trading_holiday_calendar
Example :
import nselib
data = nselib.trading_holiday_calendar()
Capital Market
- price_volume_and_deliverable_position_data
- price_volume_data
- deliverable_position_data
- bulk_deal_data
- block_deals_data
- short_selling_data
- bhav_copy_with_delivery
- bhav_copy_equities
- equity_list
- fno_equity_list
- nifty50_equity_list
- india_vix_data
- index_data
Example :
from nselib import capital_market
data = capital_market.price_volume_and_deliverable_position_data(symbol='SBIN', from_date='01-06-2023', to_date='10-06-2023')
OR
data = capital_market.price_volume_and_deliverable_position_data(symbol='SBIN', period='1M')
More functions will be available in future releases...
Derivative
- future_price_volume_data
- option_price_volume_data
- fno_bhav_copy
- participant_wise_open_interest
- participant_wise_trading_volume
- expiry_dates_future
- expiry_dates_option_index
- nse_live_option_chain
- fii_derivatives_statistics
Example :
from nselib import derivatives
data = derivatives.future_price_volume_data(symbol='SBIN', instrument='FUTSTK', from_date='01-06-2023', to_date='10-06-2023')
OR
data = derivatives.price_volume_and_deliverable_position_data(symbol='BANKNIFTY', instrument='FUTIDX', period='1M')
More functions will be available in future releases...
Debt
More functions will be available in future releases...
How can I contribute?
There are multiple ways in which you can contribute-
Write about your project
There are working on to add many function to this library. NSElib at the moment is short of good documentation. There are lot of features in NSElib yet to come :( , so till we complete the documentation, I'll need support from the community.
Please write about your projects in blogs, quora answers and other forums, so that people find working examples to get started.
Raising issues, bugs, enhancement requests
For quick resolution please raise issues both here on issue page. I'll try my best to address the issues quickly on github as and when I get notified, but raising it on stackoverflow will provide you access to a larger group and someone else might solve your problem before I do.
Submit patches
If you have fixed an issue or added a new feature, please fork this repository, make your changes and submit a pull request. Here's good article on how to do this.
Looking forward for healthy participation from community.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file nselib-0.5.tar.gz
.
File metadata
- Download URL: nselib-0.5.tar.gz
- Upload date:
- Size: 16.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 31b39937c4eb6465598360a8419113580db776951ae1c71e10faf734ba9e1968 |
|
MD5 | 5a8b0e5cf4d163312e7008faa4923d71 |
|
BLAKE2b-256 | fa5d9199994abeeb93c476a69d780b52ce0fe9883d562615c42bbda8e7cd2351 |
File details
Details for the file nselib-0.5-py3-none-any.whl
.
File metadata
- Download URL: nselib-0.5-py3-none-any.whl
- Upload date:
- Size: 18.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 693722cc1737a918600ea4cec9338ac319d7e0aca182e567ad3ea940881ee49f |
|
MD5 | 335bede0ec4aa09acb49c05ccfa08950 |
|
BLAKE2b-256 | a3d530aed19d771659b5dd592266d457ead1cedb922cc20b60a1ae443067ed29 |