nsepy_list.py
nsepy_list.py exports a dated snapshot of NSE ticker symbols with company names as a CSV, using the nsepy library, a clean starting point for building investment universes or audit reference data.
Working with Indian listed equities requires a clean, current list of NSE symbols. NSE's own website provides this, but downloading and formatting it manually every time you start a new model or refresh a screening dataset is friction. Symbol changes, delistings, and new listings mean that a list from three months ago can cause silent errors in downstream scripts. A ticker that no longer exists returns no data without an obvious error message.
You are building a systematic screening model across all NSE-listed companies to identify candidates for a SEBI-compliant portfolio strategy. Before running any financial data queries, you need the current universe. You run this script, get a dated CSV with all active symbols and company names, load it as your ticker reference file, and know that every downstream API call is working against a current universe, with the retrieval date embedded in the filename for the audit trail.
nsepy_list.py calls the nsepy library to retrieve the list of active NSE equity instruments and exports the symbol and company name columns to a CSV named nse_tickers_with_names_YYYYMMDD.csv. The date in the filename makes each snapshot independently identifiable. Run this at the start of any workflow that will query NSE data to establish a current baseline. Note that nsepy upstream availability varies. If the run fails, retry during NSE trading hours.
# Install dependency $ pip install nsepy # Run, no prompts $ python3 nsepy_list.py # Output: nse_tickers_with_names_YYYYMMDD.csv
Retrieving NSE equity list via nsepy...
Symbol Company Name
RELIANCE Reliance Industries Limited
TCS Tata Consultancy Services Limited
HDFCBANK HDFC Bank Limited
INFY Infosys Limited
...
Total symbols : 1,847
Exported → nse_tickers_with_names_20260302.csv Retrieving NSE equity list via nsepy...
ERROR: nsepy connection failed or empty response received.
NSE data availability can vary. Common causes:
1. Exchange is closed (weekend / public holiday)
2. NSE upstream endpoint has changed
3. Rate limiting: wait and retry
Try running during NSE trading hours (09:15–15:30 IST, Mon–Fri).
Use --force flag to write partial output if available.Regulation map
| Framework | Control / Clause | Obligation |
|---|---|---|
| SEBI (India) | LODR, Disclosure Obligations | SEBI-regulated entities must maintain accurate records of listed securities they hold or screen. A dated ticker snapshot provides the reference universe. |
| FEMA 1999 (India) | Schedule 3, Portfolio Investment Scheme | NRI equity investments under PIS must be in listed securities. A current NSE ticker list confirms the investment universe for compliance review. |
| Income Tax Act 1961 (India) | Section 112A, LTCG on Equities | Capital gains calculations on listed equity require confirmation that securities were listed on a recognised exchange at the time of transaction. |
| NIST CSF 2.0 | GV.RM-04, Risk Data | Reference data used in financial risk models must have documented provenance. Date-stamped snapshots establish when the universe was defined. |
| ISO 27001:2022 | A.8.1, Asset Inventory | Data assets underpinning financial analysis workflows must be documented and sourced. Dated snapshots satisfy this for reference data. |
| RBI / SEBI Audit Trail | Investment Record-keeping | Institutional investors must be able to demonstrate the universe of securities considered at any given point in time for regulatory review. |
Feedback welcome: Corrections, ideas, and requests, sachin@rtapulse.com.
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