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. Data is not delivered as a hosted REST API. Instead, 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 norgatedata Python package (on PyPI), which talks to that local NDU service and returns price/volume history, corporate actions, index constituent history, security metadata, fundamentals, and watchlists as Pandas DataFrames or NumPy arrays. Norgate also ships plugins for platforms such as Amibroker and is widely used with Python backtesting frameworks (Zipline, Backtrader). This entry honestly models the norgatedata library's logical operations as capability areas; it is a client library over a local service, not a public HTTP/REST API.
Norgate Data publishes 5 APIs on the APIs.io network. Tagged areas include Market Data, Financial Data, Historical Data, Futures, and Stocks.
Norgate Data’s developer surface includes documentation and 5 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
Securities & Market Data regime, so
Regulatory Posture carries 15 points of the composite.
If this regime is wrong for your business, say so on your
provider repo — the
applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 85 points between them,
because the conditional facet above carries the other
15. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 85% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/norgate-data: open an issue to ask a question, or submit a pull request to add artifacts.
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Retrieve daily EOD open/high/low/close, volume, turnover, unadjusted close, dividends and open interest as a Pandas DataFrame or NumPy array. Supports date ranges, record limits...
Single-value reference and metadata lookups for a security - name, symbol, asset id, domicile, currency, exchange, GICS-style classification at any level, corresponding industry...
Futures-specific reference data covering around 100 markets across 11 worldwide exchange groups - market and session names/symbols, session contracts, point value, margin and fi...
Company fundamental lookups - named fundamental fields, financial summary, business summary, shares outstanding and shares float. Availability depends on subscription package. S...
Enumerate and resolve the security lists in the local database - user and Norgate-maintained watchlists, built-in databases, and their member symbols - plus database and price u...
aid: norgate-data
url: https://raw.githubusercontent.com/api-evangelist/norgate-data/refs/heads/main/apis.yml
name: Norgate Data
kind: company
description: 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. Data is not delivered as a hosted REST
API. Instead, 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 norgatedata Python package (on
PyPI), which talks to that local NDU service and returns price/volume history, corporate actions, index constituent history,
security metadata, fundamentals, and watchlists as Pandas DataFrames or NumPy arrays. Norgate also ships plugins for platforms
such as Amibroker and is widely used with Python backtesting frameworks (Zipline, Backtrader). This entry honestly models
the norgatedata library's logical operations as capability areas; it is a client library over a local service, not a public
HTTP/REST API.
deliveryModel:
model: saas
open_source: false
commercial: true
callable_host: false
label: Hosted service · you call their endpoint
confidence: medium
source:
- pricing
generated: '2026-08-28'
method: derived
accessModel:
pricing: paid
onboarding: unknown
trial: false
try_now: false
public: false
label: Paid
confidence: medium
source:
- plans
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/norgate-data.png
tags:
- Market Data
- Financial Data
- Historical Data
- Futures
- Stocks
- End of Day
- EOD
- Backtesting
- Survivorship Bias Free
- Python
created: '2026-07-11'
modified: '2026-07-25'
specificationVersion: '0.23'
apis:
- aid: norgate-data:norgate-data-price-volume-data
name: Norgate Data Price and Volume Data
tags:
- Market Data
- Historical Data
- Price Data
- OHLCV
- Stocks
- Futures
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://pypi.org/project/norgatedata/
accessModel: Python library over local Norgate Data Updater (NDU) service - not a hosted REST API
properties:
- url: https://pypi.org/project/norgatedata/
type: Documentation
- url: https://pypi.org/project/norgatedata/
type: SourceCode
- url: https://norgatedata.com/data-content-tables.php
type: Documentation
endpointsModeled:
- norgatedata.price_timeseries
description: Retrieve daily EOD open/high/low/close, volume, turnover, unadjusted close, dividends and open interest as
a Pandas DataFrame or NumPy array. Supports date ranges, record limits, weekly/monthly/quarterly/yearly intervals, capital-and-dividend
price adjustment (total return, capital, capital+special, none) and date padding. Delivered by the norgatedata Python
package reading from the local NDU database - there is no public HTTP endpoint.
- aid: norgate-data:norgate-data-security-metadata-classifications
name: Norgate Data Security Metadata and Classifications
tags:
- Metadata
- Reference Data
- Classifications
- Stocks
- Symbols
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://pypi.org/project/norgatedata/
accessModel: Python library over local Norgate Data Updater (NDU) service - not a hosted REST API
properties:
- url: https://pypi.org/project/norgatedata/
type: Documentation
endpointsModeled:
- norgatedata.security_name
- norgatedata.symbol
- norgatedata.assetid
- norgatedata.domicile
- norgatedata.currency
- norgatedata.exchange_name
- norgatedata.exchange_name_full
- norgatedata.classification
- norgatedata.classification_at_level
- norgatedata.corresponding_industry_index
- norgatedata.base_type
- norgatedata.status
- norgatedata.first_quoted_date
- norgatedata.last_quoted_date
- norgatedata.second_last_quoted_date
- norgatedata.tick_size
- norgatedata.lowest_ever_tick_size
- norgatedata.session_type
description: Single-value reference and metadata lookups for a security - name, symbol, asset id, domicile, currency, exchange,
GICS-style classification at any level, corresponding industry index, base type, listing status, quoted-date range and
tick size. Served from the local NDU database via the norgatedata Python package.
- aid: norgate-data:norgate-data-futures-metadata
name: Norgate Data Futures Metadata
tags:
- Futures
- Market Data
- Continuous Contracts
- Metadata
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://norgatedata.com/futurespackage.php
accessModel: Python library over local Norgate Data Updater (NDU) service - not a hosted REST API
properties:
- url: https://norgatedata.com/futurespackage.php
type: Documentation
- url: https://pypi.org/project/norgatedata/
type: Documentation
endpointsModeled:
- norgatedata.futures_market_name
- norgatedata.futures_market_symbol
- norgatedata.futures_market_symbols
- norgatedata.futures_market_session_name
- norgatedata.futures_market_session_symbol
- norgatedata.futures_market_session_symbols
- norgatedata.futures_market_session_contracts
- norgatedata.point_value
- norgatedata.margin
- norgatedata.first_notice_date
description: Futures-specific reference data covering around 100 markets across 11 worldwide exchange groups - market and
session names/symbols, session contracts, point value, margin and first notice date. Norgate provides both unadjusted
and back-adjusted spot-month continuous contracts for backtesting. Served from the local NDU database via the norgatedata
Python package.
- aid: norgate-data:norgate-data-fundamentals
name: Norgate Data Fundamentals
tags:
- Fundamental Data
- Financial Data
- Stocks
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://pypi.org/project/norgatedata/
accessModel: Python library over local Norgate Data Updater (NDU) service - not a hosted REST API
properties:
- url: https://pypi.org/project/norgatedata/
type: Documentation
endpointsModeled:
- norgatedata.fundamental
- norgatedata.financial_summary
- norgatedata.business_summary
- norgatedata.sharesoutstanding
- norgatedata.sharesfloat
description: Company fundamental lookups - named fundamental fields, financial summary, business summary, shares outstanding
and shares float. Availability depends on subscription package. Served from the local NDU database via the norgatedata
Python package.
- aid: norgate-data:norgate-data-watchlists-databases
name: Norgate Data Watchlists and Databases
tags:
- Watchlist
- Security Lists
- Symbols
- Metadata
tags_raw:
- Watchlists
- Security Lists
- Symbols
- Metadata
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
humanURL: https://pypi.org/project/norgatedata/
accessModel: Python library over local Norgate Data Updater (NDU) service - not a hosted REST API
properties:
- url: https://pypi.org/project/norgatedata/
type: Documentation
endpointsModeled:
- norgatedata.watchlist
- norgatedata.watchlists
- norgatedata.watchlist_symbols
- norgatedata.database
- norgatedata.databases
- norgatedata.database_symbols
- norgatedata.last_database_update_time
- norgatedata.last_price_update_time
description: Enumerate and resolve the security lists in the local database - user and Norgate-maintained watchlists, built-in
databases, and their member symbols - plus database and price update timestamps used to check freshness. Served from the
local NDU database via the norgatedata Python package.
common:
- type: LinkedIn
url: https://www.linkedin.com/company/norgatedata
- type: Website
url: https://norgatedata.com/
- type: Documentation
url: https://pypi.org/project/norgatedata/
- type: Plans
url: plans/norgate-data-plans-pricing.yml
- type: RateLimits
url: rate-limits/norgate-data-rate-limits.yml
- type: FinOps
url: finops/norgate-data-finops.yml
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
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