tickertruth/nse-india-security-master

TickerTruth — NSE India Security Master (Explorer)

A clean, normalized reference table of 2,389 NSE-listed equities — ISIN mappings, listing dates, company names, and active/delisted status — built from the TickerTruth India reference-data pipeline.

Why this dataset exists

India equity data is notoriously messy. NSE symbols change (renames, mergers, delistings), ISINs get reissued, and raw bhavcopy files carry no historical context. TickerTruth's pipeline normalizes the NSE equity master daily and tracks these changes. This dataset is the starting point — a clean security master you can trust as a join key.

Files

File	Rows	Description
data/nse_security_master.csv	2,389	All active NSE-listed equities as of June 2026
data/nse_explorer_20symbols.csv	20	Explorer slice — 20 blue-chip NIFTY50 stocks for trial use

Schema

Column	Type	Description
nse_symbol	string	NSE trading symbol (e.g. RELIANCE)
isin	string	12-character ISIN — stable cross-reference key
company_name	string	Full registered company name
listing_date	date (YYYY-MM-DD)	Date first listed on NSE
active_flag	boolean	True = currently trading; False = delisted/suspended

Explorer symbols (20-stock slice)

The nse_explorer_20symbols.csv file covers the 20 most liquid NIFTY50 constituents:

ASIANPAINT · AXISBANK · BAJFINANCE · BHARTIARTL · HCLTECH · HDFCBANK · HINDUNILVR · ICICIBANK · INFY · KOTAKBANK · LT · MARUTI · NTPC · ONGC · RELIANCE · SBIN · SUNPHARMA · TCS · TITAN · WIPRO

Usage

import pandas as pd

# Full security master
master = pd.read_csv("data/nse_security_master.csv", parse_dates=["listing_date"])

# Look up by ISIN
master.set_index("isin").loc["INE002A01018"]  # RELIANCE

# Filter active only
active = master[master["active_flag"]]
print(f"{len(active)} active NSE equities")

# Explorer slice
explorer = pd.read_csv("data/nse_explorer_20symbols.csv", parse_dates=["listing_date"])

Or load directly from Hugging Face:

from datasets import load_dataset

ds = load_dataset("tickertruth/nse-india-security-master", data_files="data/nse_security_master.csv")
df = ds["train"].to_pandas()

Data source and pipeline

Raw data is fetched nightly from the NSE public equity master. The pipeline:

1. Downloads the NSE equity master CSV
2. Deduplicates and normalizes company names, ISINs, and listing dates
3. Runs quality checks (ISIN format validation, duplicate detection, confidence scoring)
4. Writes the curated output — what you see here

Source: NSE India public archives (equity master) Pipeline: github.com/brkrishna/TickerTruth

What's coming

This initial release covers the security master only. Subsequent releases will add:

• Symbol lineage events — rename, delisting, merger, and re-listing events with effective dates (the pipeline tracks daily snapshots and will surface changes as they occur)
• Corporate actions — dividends, splits, bonus issues, rights offerings
• Adjustment factors — back-adjusted price multipliers for each corporate action

Updates publish nightly. Watch or star the dataset to be notified.

License

CC BY 4.0 — free to use, share, and adapt with attribution.

Source: NSE India public equity master, normalized by TickerTruth.
Pipeline: https://github.com/brkrishna/TickerTruth

Citation

@dataset{tickertruth_nse_2026,
  title   = {TickerTruth NSE India Security Master},
  author  = {TickerTruth},
  year    = {2026},
  url     = {https://huggingface.co/datasets/tickertruth/nse-india-security-master},
  license = {CC-BY-4.0}
}