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---
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:
- [Pandas](https://pandas.pydata.org/)
- [Polars](https://pola.rs/)
- [PyArrow](https://arrow.apache.org/)
- [PySpark](https://spark.apache.org/)
## 🗓️ 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](https://huggingface.co/MSM02)
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