JPX List of TSE-listed Issues
JPX List of TSE-listed Issues
Japan Exchange Group's monthly Excel list of every issue listed on the Tokyo Stock Exchange as of the previous month-end: local code, English name, market section or product type, 33- and 17-sector codes and TOPIX size bucket. Reference and listings data only, not prices. English and Japanese files; no registration or key.
Coverage
All TSE-listed issues as of the previous month-end (4,444 rows effective Oct 31, 2026): Prime, Standard and Growth domestic stocks, foreign stocks, ETFs/ETNs, REITs and other products, with local code, name, section/product, 33-sector and 17-sector codes and names, and TOPIX New Index Series size code. Updated at about 9:00 a.m. JST on the 3rd business day of each month; only the latest file is posted (no history). Reference data only, not prices; distinct from the J-Quants API.
Verdict
This is the official free Tokyo Stock Exchange security master, for agents that need to map TSE codes to names, market segments and sectors. It is a monthly reference snapshot with no prices and no history. JPX's website terms prohibit collecting data or secondary use of site information for commercial purposes without JPX permission or a paid contract, so treat it as fine for research and internal use and check with JPX before commercial reuse.
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Use in your agent
Load the JPX list of TSE-listed issues into pandas and Parquet. Checked against the provider's documentation on Nov 5, 2026.
Access
- No account or key; direct Excel download.
- English file data_e.xlsx and Japanese twin data_j.xlsx on the List of TSE-listed Issues page.
Request
curl -o data_e.xlsx 'https://www.jpx.co.jp/english/markets/statistics-equities/misc/tvdivq0000001vg2-att/data_e.xlsx'Format
Excel (.xlsx, about 260 KB), one sheet, one row per issue: Effective Date, Local Code, Name (English), Section/Products, 33 Sector(Code), 33 Sector(name), 17 Sector(Code), 17 Sector(name), Size Code (New Index Series), Size (New Index Series). Non-stock rows use "-" in the sector and size columns.
Load into pandas and Parquet
Needs Python 3 with requests, pandas and pyarrow.
"""JPX List of TSE-listed Issues (monthly Excel, English) -> pandas -> Parquet. No key."""
import io
import requests
import pandas as pd
URL = "https://www.jpx.co.jp/english/markets/statistics-equities/misc/tvdivq0000001vg2-att/data_e.xlsx"
r = requests.get(URL, timeout=60)
r.raise_for_status()
df = pd.read_excel(io.BytesIO(r.content), dtype=str)
df.to_parquet("jpx_tse_listed_issues.parquet", index=False)
print(len(df), "issues; effective", df["Effective Date"].iloc[0], ";", df["Section/Products"].value_counts().index[0])Run by us on 2026-11-05 (python 3.13 | pandas | pyarrow | requests (box probe)). Result: 4444 issues; effective 20261031 ; Prime Market (Domestic)
Limits
- One snapshot a month (as of the previous month-end), updated at about 9:00 a.m. JST on the 3rd business day; only the latest file is posted.
- No download limit stated.
Quirks
- Read all columns as text: sector and size columns mix numbers and "-".
- Reference data only, no prices; for prices see the J-Quants API (separate terms).
Terms and attribution
- JPX website terms prohibit collecting data or secondary use of site information for commercial purposes without JPX permission or a paid contract.
- The list is an outline for information, not a solicitation for investment; JPX does not assure its completeness.
Sources
- https://www.jpx.co.jp/english/markets/statistics-equities/misc/01.html: “Updated at approximately 9:00 a.m. on the 3rd business day of each month”
- https://www.jpx.co.jp/english/term-of-use/index.html: “The collection of data or secondary use of information from this website for commercial purposes is strictly prohibited, unless JPX has granted prior permission or authorized such use under a paid contract.”
Information and education only. Not financial, investment, legal or tax advice. Listings can be inaccurate, incomplete or out of date and are provided "as is". Free tiers, limits and licenses belong to each provider and can change, so check the provider's own terms before you rely on them. Terms & Disclaimer