dataset_name: bhavcopy-calendar
dataset_type: tabular
license: mit
language:
- en
tags:
- finance
- stock-market
- capital-markets
- india
- holidays
- trading-sessions
- nse
- bse
size_categories:
- small
task_categories:
- time-series-forecasting
- tabular-classification
- tabular-regression
- other
dataset_info:
description: >
This dataset contains official trading holidays and special trading sessions
for the capital markets segment of NSE and BSE in India. The data is stored
in two Parquet files:
- Holidays.parquet: with columns Date and Holiday
- Special Sessions.parquet: with columns Date and Description
homepage: https://huggingface.co/datasets/MSM02/bhavcopy-calendar
license: MIT License
citation: |
@misc{msm02_bhavcopycalendar_2025,
author = {MSM02},
title = {Bhavcopy Calendar: NSE & BSE Holidays & Special Sessions (Capital Markets)},
year = {2025},
howpublished = {\url{https://huggingface.co/datasets/MSM02/bhavcopy-calendar}}
}
last_modified: '2025-09-14'
📅 Bhavcopy Calendar: NSE & BSE Holidays & Special Sessions (Capital Markets Only)
This dataset contains official trading holidays and special trading sessions for the capital markets segment of the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.
📂 Files Included
🛑 Holidays.parquet
Contains the list of regular trading holidays when the capital markets were closed.
Columns:
Date: Holiday date (YYYY-MM-DD)Holiday: Description of the occasion (e.g., Republic Day, Diwali, etc.)
🟡 Special Sessions.parquet
Contains special or non-standard trading sessions, such as Muhurat Trading, extended hours, or Saturday sessions.
Columns:
Date: Session date (YYYY-MM-DD)Description: Type of session or context (e.g., Muhurat Trading, Special Live Session)
📈 Use Cases
- Calendar-aware stock market data analysis
- Backtesting strategies that skip holidays or special sessions
- Feature engineering for time-series or trading models
- Scheduling automated trading bots
📦 Format
All data is stored in Apache Parquet format for efficient loading and compatibility with:
🗓️ Coverage
- Exchanges: NSE and BSE
- Market Segment: Capital Markets only
- Data Types: Trading Holidays, Special Sessions
- Region: India
- Last updated: Sep 14, 2025
📜 License
This dataset is shared under the MIT License.
Please refer to the official exchange circulars for the most accurate and up-to-date information before making trading decisions.
🙌 Acknowledgements
This dataset is compiled based on publicly available information published by the NSE and BSE.
Maintained by @MSM02