Library to collect NSE data in pandas dataframe
Project description
NSE (national stock exchange) data
Introduction: This library serves as an api to fetch data from the NSE about stocks and indices and derivatives using python
Thank you for using Nsedt. Please feel free to send pull requests, comments, and suggestions, as well as get in touch with me if you require any additional help. I sincerely hope you will find this library useful.
How to start
- clone the repository
git clone https://github.com/pratik141/nsedt
- Install the requirements file after changing to cloned folder above
pip install -r requirements.txt
- Install locally
pip installl . --upgrade
Equity
Details
Name | Module name | Description | Argument | Response |
---|---|---|---|---|
companyinfo | get_companyinfo | Company info | symbol , response_type | json, panda df |
marketstatus | get_marketstatus | marketstatus | -- | panda_df |
price | get_price | price | start_date, end_date, symbol, input_type | json, panda df |
corpinfo | get_corpinfo | corpinfo | arg | |
event | get_event | event | start_date, end_date | panda df |
chartdata | get_chartdata | chartdata | symbol | panda df |
symbols_list | get_symbols_list | symbols_list | -- | json |
step to run
from nsedt import equity as eq
from datetime import date
start_date = date(2022, 1, 1)
end_date = date(2023, 1, 10)
print(eq.get_price(start_date, end_date, symbol="TCS"))
start_date = "01-05-2023"
end_date = "03-05-2023"
print(eq.get_corpinfo(start_date, end_date, symbol="TCS"))
print(eq.get_event(start_date, end_date))
print(eq.get_event())
print(eq.get_marketstatus())
print(eq.get_marketstatus(response_type="json"))
print(eq.get_companyinfo(symbol="TCS"))
print(eq.get_companyinfo(symbol="TCS", response_type="json"))
print(eq.get_chartdata(symbol="TCS"))
print(eq.get_symbols_list()) #print the list of symbols used by NSE for equities
Indices
Details
Name | Module name | Description | Argument | Response |
---|---|---|---|---|
price | get_price | price | start_date, end_date, symbol | panda df |
step to run
from nsedt import indices as ind
from datetime import date
start_date = date(2022, 1, 1)
end_date = date(2023, 1, 10)
print(ind.get_price(start_date=start_date, end_date=end_date, symbol="NIFTY 50"))
Derivatives
Details
Name | Module name | Description | Argument | Response |
---|---|---|---|---|
vix | get_vix | price | start_date, end_date,columns_drop_list | panda df |
option chain | get_option_chain | get option price | symbol,strikePrice,expiryDate | panda df |
option chain expiry date | get_option_chain_expdate | option chain expiry date | symbol | json |
future price | get_future_price | get future price | symbol, start_date, end_date, expiryDate,response_type, columns_drop_list | panda df |
future expiry date | get_future_expdate | future expiry date | symbol | json |
step to run
from nsedt import derivatives as de
start_date = "01-09-2023"
end_date = "03-09-2023"
# date format "%d-%m-%Y"
print(de.get_vix(start_date, end_date))
print(de.get_option_chain(symbol="TCS", strikePrice=3300, expiryDate="expiryDate"))
print(de.get_option_chain_expdate(symbol="TCS"))
print(de.get_future_price(symbol="TCS", start_date=start_date, end_date=end_date))
print(de.get_future_expdate(symbol="TCS"))
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nsedt-0.0.10.tar.gz
(13.2 kB
view hashes)
Built Distribution
nsedt-0.0.10-py3-none-any.whl
(16.6 kB
view hashes)