Documentation

https://marketsetup.in/documentation/jugaad-data/

Introduction

jugaad-data is a python library to download historical/live stock, index as well as economic data from NSE and RBI website using.

Features

• Supports new NSE website, (All libraries based on old NSE website might stop working)
• Powerful CLI (Command line interface), Even non-coders can use it easily
• Built-in caching mechanism to play nice with NSE. Avoid making un-necessary requests to NSE's website and getting blocked
• Optional pandas support

Road map

Installation

pip install jugaad-data

Getting started

Python inteface

Historical data

from datetime import date
from jugaad_data.nse import bhavcopy_save, bhavcopy_fo_save

# Download bhavcopy
bhavcopy_save(date(2020,1,1), "/path/to/directory")

# Download bhavcopy for futures and options
bhavcopy_fo_save(date(2020,1,1), "/path/to/directory")

# Download stock data to pandas dataframe
from jugaad_data.nse import stock_df
df = stock_df(symbol="SBIN", from_date=date(2020,1,1),
            to_date=date(2020,1,30), series="EQ")

Live data

from jugaad_data.nse import NSELive
n = NSELive()
q = n.stock_quote("HDFC")
print(q['priceInfo'])

{'lastPrice': 2635,
 'change': -49.05000000000018,
 'pChange': -1.8274622305843848,
 'previousClose': 2684.05,
 'open': 2661,
 'close': 2632.75,
 'vwap': 2645.57,
 'lowerCP': '2415.65',
 'upperCP': '2952.45',
 'pPriceBand': 'No Band',
 'basePrice': 2684.05,
 'intraDayHighLow': {'min': 2615.6, 'max': 2688.45, 'value': 2635},
 'weekHighLow': {'min': 1473.45,
  'minDate': '24-Mar-2020',
  'max': 2777.15,
  'maxDate': '13-Jan-2021',
  'value': 2635}}

Command line interface

$ jdata stock --help

Usage: jdata stock [OPTIONS]

  Download historical stock data

  $jdata stock --symbol STOCK1 -f yyyy-mm-dd -t yyyy-mm-dd --o file_name.csv

Options:
  -s, --symbol TEXT  [required]
  -f, --from TEXT    [required]
  -t, --to TEXT      [required]
  -S, --series TEXT  [default: EQ]
  -o, --output TEXT
  --help             Show this message and exit.

$ jdata stock -s SBIN -f 2020-01-01 -t 2020-01-31 -o SBIN-Jan.csv
SBIN  [####################################]  100%

Saved file to : SBIN-Jan.csv

Download historical index data (niftyindices.com)

from datetime import date
from jugaad_data.nse import (index_raw, index_pe_raw, index_tri_raw,
                              index_type_list, index_subtype_list, index_name_list)

# OHLC data for an index
data = index_raw("NIFTY 50", date(2026, 1, 1), date(2026, 7, 31))

# P/E, P/B and Dividend Yield
pe_data = index_pe_raw("NIFTY 50", date(2026, 1, 1), date(2026, 7, 31))

# Total Return Index values
# For standard indices name == index_name; for strategy indices use the short code as name
tri_data = index_tri_raw("NIFTY 50", "NIFTY 50", date(2026, 1, 1), date(2026, 7, 31))

# Discover available indices (3-level hierarchy)
index_type_list()                                              # ['Equity', 'Fixed Income', 'Multi Asset']
index_subtype_list('Equity', 'Historical Index Data')          # ['Broad Market Indices', 'Sectoral Indices', ...]
index_name_list('Broad Market Indices', 'Historical Index Data')  # ['NIFTY 50', 'NIFTY 100', ...]

# index_group options:
#   'Historical Index Data'
#   'Total returns Index Values '
#   'P/E, P/B & Div.Yield values'

Download mutual fund NAV history (AMFI)

from datetime import date
from jugaad_data.amfi import nav_history_raw, nav_history_df, nav_history_csv

# Raw rows (every scheme / AMC / date)
rows = nav_history_raw(date(2026, 9, 1), date(2026, 10, 6))

# pandas DataFrame (nav as float, date as datetime)
df = nav_history_df(date(2026, 9, 1), date(2026, 10, 6))
df[df["scheme_type"] == "Interval Fund"].head()

# Save to CSV
nav_history_csv(date(2026, 9, 1), date(2026, 10, 6), output="nav.csv")

Every row carries scheme_type (Open Ended / Close Ended / Interval Fund), category (e.g. Money Market) and amc alongside the scheme NAV fields.

Download historical derivatives (F&O) data

$ jdata deriviatives --help
Usage: cli.py derivatives [OPTIONS]

  Sample usage-

  Download stock futures-

  jdata derivatives -s SBIN -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i FUTSTK -o file_name.csv

  Download index futures-

  jdata derivatives -s NIFTY -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i FUTIDX -o file_name.csv

  Download stock options-

  jdata derivatives -s SBIN -f 2020-01-01 -t 2020-01-30 -e 2020-01-30 -i OPTSTK -p 330 --ce -o file_name.csv

  Download index options-

  jdata derivatives -s NIFTY -f 2020-01-01 -t 2020-01-30 -e 2020-01-23 -i OPTIDX -p 11000 --pe -o file_name.csv

Options:
  -s, --symbol TEXT  Stock/Index symbol  [required]
  -f, --from TEXT    From date - yyyy-mm-dd  [required]
  -t, --to TEXT      To date - yyyy-mm-dd  [required]
  -e, --expiry TEXT  Expiry date - yyyy-mm-dd  [required]
  -i, --instru TEXT  FUTSTK - Stock futures, FUTIDX - Index Futures, OPTSTK -
                     Stock Options, OPTIDX - Index Options  [required]

  -p, --price TEXT   Strike price (Only for OPTSTK and OPTIDX)
  --ce / --pe        --ce for call and --pe for put (Only for OPTSTK and
                     OPTIDX)

  -o, --output TEXT  Full path of output file
  --help             Show this message and exit.

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