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Full detail: Where this data comes from
Norgate Data provides high-quality, survivorship-bias-free end-of-day (EOD) historical market data for US, Australian and Canadian stocks, around 100 worldwide futures markets, and foreign exchange. It is a long-standing vendor (founded 1995) focused on clean, backtest-ready daily data for systematic traders and quants.
Access model - read this first. Norgate Data is not a hosted REST API. There is no public HTTP/REST base URL and no WebSocket. Subscribers install the Norgate Data Updater (NDU) - a Windows desktop application that downloads and maintains a complete local database and runs a local data service. Programmatic access is through the
norgatedataPython package (on PyPI), which reads from that local NDU database and returns Pandas DataFrames / NumPy arrays. NDU must be running for the package to work. This catalog entry honestly models the library's logical operations as capability areas; it is a client library over a local service, not a public API.
APIs.json: https://raw.githubusercontent.com/api-evangelist/norgate-data/refs/heads/main/apis.yml
- Market Data
- Financial Data
- Historical Data
- Futures
- Stocks
- End of Day
- EOD
- Backtesting
- Survivorship Bias Free
- Python
- Created: 2026-07-11
- Modified: 2026-07-11
- Norgate Data Updater (NDU): Windows-only desktop app (Windows 10/11 or Windows Server; Mac/Linux users run it in a Windows VM or WSL2 with mirrored networking). It maintains a local, survivorship-bias-free database and applies the daily EOD update.
norgatedataPython package:pip install norgatedata. Requires an active subscription and a running NDU. Depends on pandas, numpy, requests and logbook. Returns price/volume history, corporate-action time series, metadata, fundamentals and watchlists.- Platform plugins & integrations: Amibroker plugin, plus community integrations with Python backtesting frameworks such as Zipline (
zipline-norgatedata) and Backtrader.
These are the library's logical operations, grouped as capability areas. They are local library calls, not HTTP endpoints.
Daily OHLCV, volume, turnover, unadjusted close, dividends and open interest as Pandas/NumPy. Supports date ranges, limits, weekly/monthly/quarterly/yearly intervals, capital-and-dividend price adjustment, and date padding. Modeled: price_timeseries.
- Reference: https://pypi.org/project/norgatedata/
Single-value reference lookups - name, symbol, asset id, domicile, currency, exchange, classification at any level, corresponding industry index, base type, listing status, quoted-date range and tick size. Modeled: security_name, symbol, assetid, domicile, currency, exchange_name, classification, classification_at_level, status, tick_size, and related.
Reference data for ~100 futures markets across 11 exchange groups - market/session names and symbols, session contracts, point value, margin and first notice date. Unadjusted and back-adjusted spot-month continuous contracts. Modeled: futures_market_symbols, futures_market_session_contracts, point_value, margin, first_notice_date, and related.
- Reference: https://norgatedata.com/futurespackage.php
Company fundamentals - named fundamental fields, financial and business summaries, shares outstanding and shares float. Availability depends on package. Modeled: fundamental, financial_summary, business_summary, sharesoutstanding, sharesfloat.
Enumerate and resolve security lists - watchlists, built-in databases and their member symbols - plus database/price update timestamps for freshness checks. Modeled: watchlist, watchlists, watchlist_symbols, database, databases, database_symbols, last_database_update_time, last_price_update_time.
Norgate is sold as a flat data subscription, not metered API calls; the Python package and plugins are free with a subscription. Stock data is packaged per market by history depth; futures and forex are separate. Terms are 6 or 12 months (~10% annual discount). Grounded USD figures (verify on Norgate's price calculator):
- Stocks - Silver: ~USD 270/yr per market, 10 years of history
- Stocks - Gold: ~USD 360/yr per market, 20 years of history
- Stocks - Platinum: ~USD 630/yr per market, history back to the early 1990s (delisted securities + historical index constituents)
- Stocks - Diamond (US only): deepest tier, history back to 1950
- Futures: ~USD 270/yr (~USD 148.50 for 6 months), ~100 markets, history back to ~1980, continuous contracts
- Forex: separate package, history back to 1991
See plans/norgate-data-plans-pricing.yml.
Does Norgate Data expose a documented public WebSocket API? No - and it exposes no hosted public API at all. Access is the norgatedata Python library over a local NDU database delivering EOD historical data. There is no REST, SSE or WebSocket transport. See review.yml.
FN: Kin Lane Email: kin@apievangelist.com