Key facts for Indices - National Stock Exchange of India (NSEI) LL
Coverage metric
Geography:
Asia / Pacific
History:
From 1994
Coverage count:
Asset Classes - 65000 Listings
Delivery metadata
Data Frequency
Continuous
Language
English
Delivery methods:
Excel, Web Service, API, Deployed/Onsite Servers, SFTP, Cloud, Desktop, FTP, Bulk, SQL, RSS Feed, Website
Data formats:
CSV, GZIP, JSON, SQL, Text, Metafile Picture, Bitmap, Parquet, PCAP, PDF, XML, Python, MPEG, HTML, User Interface
Minimum service frequency
Continuous
Overview of Indices - National Stock Exchange of India (NSEI) LL
Track Indian Market Performance
Understand India Market Performance
- Enables benchmarking, performance analysis and product development across Indian equities
- Supports ETF construction and asset allocation decisions
- Provides market comparison using trusted NSE-linked index methodologies
Built for Market Analysis
Integrated Data Delivery & Access
- Delivered via structured feeds and APIs with standardised identifiers and consistent data models
- Includes deep historical data for robust analysis
- Supports integration across analytics, trading and risk systems for efficient workflows
India Market Index Coverage
NSEI Index Data
- Comprehensive index data for the National Stock Exchange of India, covering flagship benchmarks and sub-indices
- Includes pricing, constituents, weights and historical performance data
- Supports tracking of India-focused equity market performance
Description of the dataset
- LSEG provides index pricing data for National Stock Exchange of India (NSEI) LL, helping users access consistent market pricing, trading and reference information within the broader LSEG pricing data catalogue.
- Coverage is structured around index levels, daily changes, calculation timestamps, currency, index identifiers and historical time series.
- The dataset supports price discovery, trading, valuation, portfolio monitoring, risk management, back-testing and enterprise reporting. LSEG helps customers combine this content with related pricing, reference, analytics and workflow data for more consistent decision-making.
Accessing the dataset
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