data.nasdaq.com

Nasdaq Data Link is a data marketplace that organizes its catalog into three broad groups: financial market data, economic data, and alternative data. The right category for you depends on what you are trying to measure — a security's price history, a country's macro trajectory, or a non-traditional signal such as web traffic or sentiment. The platform's own description frames it as "the source for financial, economic, and alternative datasets, serving investment professionals," so those three labels are the intended way to navigate the catalog.

Financial data

This is the core of the platform and covers market and securities-related information. Typical datasets in this group include:

• Equities — prices, volumes, corporate actions, and fundamentals.
• Fixed income and rates — bond pricing, yield curves, and interest rate series.
• Funds and ETFs — holdings, flows, and performance.
• Derivatives and volatility — options and futures-related series.

Best for: backtesting trading strategies, building valuation or risk models, screening securities, and benchmarking portfolio performance against market history.

Economic data

Macroeconomic indicators, usually organized by country or region. Common content includes GDP, inflation, employment, interest rates, trade balances, and central bank series.

Best for: top-down macro research, country comparison, scenario analysis, and feeding macro factors into multi-asset or allocation models.

Alternative data

Non-traditional datasets that sit outside standard market and government statistics. Examples of the kinds of signals found here include web traffic, app usage, transaction or card-spend panels, sentiment, and satellite or geolocation observations.

Best for: generating differentiated signals that are not yet fully reflected in prices, nowcasting a company's revenue ahead of earnings, and supplementing fundamental research where conventional data is too slow or too coarse.

Choosing by use case

Practical notes

• The catalog is large and spans many providers, so coverage, update frequency, and history length vary by dataset — check the individual dataset page rather than assuming uniformity.
• The site is a JavaScript application; if you land on a blank page, enable JavaScript in your browser to load the catalog.
• Access terms differ per dataset. The available page information does not specify pricing or login requirements, so confirm the specific dataset's terms before planning around it.

Nasdaq Data Link is best suited to investment professionals, analysts, and data teams who need programmatic access to financial, economic, and alternative datasets from a single source. It fits organizations that already work with APIs or bulk data feeds and want to combine core market data with specialized third-party datasets. It is a weaker fit for casual users who only need occasional quotes, or for teams that require a fully managed analytics interface rather than raw data delivery.

Who the platform is built for

The site describes itself as "the source for financial, economic, and alternative datasets, serving investment professionals." That framing points to a few concrete user types:

• Investment professionals — portfolio managers, research analysts, and strategists who need consistent historical and current data across asset classes.
• Quantitative and data teams — engineers and data scientists who pull datasets into their own models, pipelines, or dashboards.
• Institutions — firms that need licensed, redistributable data under a commercial agreement rather than a single-seat consumer product.

If your work is "look up a number once a week," a general finance portal is usually simpler. If your work is "feed a model or a production system with repeatable data pulls," this platform's model is a better match.

Scenarios where it fits

Use Nasdaq Data Link when you need to:

• Combine core financial data (prices, fundamentals, reference data) with economic indicators and alternative datasets in one place.
• Access data programmatically so it can be refreshed, versioned, and joined with internal data.
• Source specialized or niche datasets that are hard to assemble yourself, rather than only mainstream market data.
• Standardize data delivery across a team so everyone pulls from the same source.

A practical example: a small research team building a macro dashboard needs GDP and inflation series alongside sector-level market data. Pulling each from a separate vendor creates mismatched formats and update schedules. A single platform reduces that integration work — provided the specific series you need are actually carried there.

Dimensions to compare before choosing

When weighing Nasdaq Data Link against another data provider, compare on the same axes:

Coverage and licensing are the two that most often decide the choice. A platform can be excellent technically and still be wrong for you if it lacks your dataset or your license doesn't cover redistribution.

What to verify before committing

• Dataset availability — confirm the exact series or alternative datasets you need are offered, since coverage varies by dataset.
• Licensing and usage rights — check whether your use case (internal analysis vs. redistribution vs. embedding in a product) is allowed.
• Subscription or access requirements — some datasets may require specific entitlements; verify what your access includes.
• Technical fit — confirm the access method works with your existing tools and that you can authenticate and pull data as expected.

The site itself requires JavaScript to run its app, so plan to interact with it through a browser session or its API rather than expecting static pages to expose everything.

When to look elsewhere

Consider a different option if you mainly need:

• A ready-made analytics or charting interface rather than raw data.
• Free, no-account access to occasional figures — this platform is oriented toward professional data delivery.
• A single narrow dataset that a specialized vendor covers more deeply or cheaply.

The deciding question is simple: do you need repeatable, programmatic access to a mix of financial, economic, and alternative datasets, and can you meet the licensing and access conditions? If yes, Nasdaq Data Link is a reasonable fit. If you need a finished interface or only sporadic lookups, a simpler tool will usually serve you better.

Nasdaq Data Link is Nasdaq's platform for financial, economic, and alternative datasets, aimed at investment professionals and others who need programmatic access to market and reference data. It is a data marketplace and delivery layer rather than a trading venue or brokerage: you use it to find, subscribe to, and pull datasets via APIs and tools. The site itself is a JavaScript application, so a browser with JavaScript enabled is required to use the web interface.

What the platform is

Nasdaq Data Link (historically associated with the Quandl brand) aggregates datasets from Nasdaq and third-party providers into one catalog. Its stated purpose is to serve as a source for financial, economic, and alternative data for investment professionals.

Two things follow from that positioning:

• It is a distribution and access layer. The value is in the catalog, the API, and the delivery formats, not in a single proprietary feed.
• It is built for professional workflows. Expect API keys, usage limits, and subscription terms rather than a consumer-facing quote page.

Types of data available

The catalog is organized around three broad categories named on the site:

Because datasets come from many providers, coverage, history depth, update frequency, and licensing differ from one dataset to the next. Always check the individual dataset page rather than assuming uniform terms across the catalog.

Who it is for

The site states it serves investment professionals. In practice that means:

• Quants and analysts who need time series they can pull into code.
• Developers building data pipelines or research tools on top of an API.
• Research teams comparing multiple vendors' datasets in one place.

If you only need occasional lookups of a single indicator, a lighter source may be enough. If you need repeatable, scripted access across several datasets, a platform like this is the more natural fit.

How you would typically use it

1. Find a dataset. Browse or search the catalog for the series you need.
2. Check its terms. Confirm the provider, history, frequency, and any subscription or access requirements on the dataset page.
3. Get access credentials. API-based access generally requires an account and an API key.
4. Pull the data. Query through the API or the platform's tools and load the result into your analysis environment.
5. Verify the result. Confirm row counts, date ranges, and units against the dataset documentation before relying on it.

The exact menu locations and endpoint formats are not documented in the material available here, so treat the steps above as the general flow rather than a click-by-click guide.

Practical caveats

• JavaScript is required for the web app; without it, the page will not render.
• Pricing and access terms are not stated on the landing page. Do not assume any dataset is free or requires no login — check the specific dataset and your account terms.
• Quality varies by provider. Alternative datasets in particular can have short histories, irregular updates, or restrictive licenses.

Bottom line

Nasdaq Data Link is best understood as a catalog-and-API platform for financial, economic, and alternative data, built for professional and programmatic use. Choose it when you need scripted access to multiple datasets from one place; verify per-dataset terms before committing, since coverage and access conditions are set provider by provider.

Nasdaq Data Link is a platform for financial, economic, and alternative datasets aimed at investment professionals. You access it primarily through the website at data.nasdaq.com, where you browse available datasets and then retrieve data either through the web interface or an API. The exact steps depend on whether a given dataset is free or requires a subscription, and on whether you want to view data manually or pull it programmatically.

Before You Start

Two things determine what you can actually reach:

• Account status. Some datasets are open, while others require a paid subscription or specific entitlements tied to your account. You will need to confirm access rights per dataset rather than assuming everything on the platform is available to you.
• JavaScript enabled. The site is an application that requires JavaScript to run. If the page appears blank or shows a message about enabling JavaScript, that is the cause — not a broken link.

Accessing Data Through the Website

1. Go to data.nasdaq.com in a browser with JavaScript enabled.
2. Browse or search the dataset catalog to find the data you need.
3. Open a dataset to see its description, coverage, and access requirements.
4. If you have the required access, use the on-page tools to view, filter, or download the data.

The expected result is that you can see the dataset metadata and, where your account permits, the underlying data itself. If a dataset is gated, the page will indicate that a subscription or entitlement is needed.

Accessing Data Through the API

For programmatic use, Nasdaq Data Link provides an API so you can query datasets directly from code or a script. The general flow is:

• Identify the dataset and the specific series or table you want.
• Authenticate with your account credentials (typically an API key associated with your account).
• Send a request specifying the dataset, series, and any date range or filters.
• Receive the data in a structured format for use in your analysis.

The exact endpoint, parameters, and authentication method depend on the dataset and are documented alongside it. Confirm the dataset's access level first, because an API key alone does not grant access to subscription-only data.

What to Confirm Before Relying on a Dataset

Common Sticking Points

• Blank page or JavaScript warning. Enable JavaScript; the platform will not render without it.
• Data visible but not downloadable. You may be able to preview a dataset without having the entitlement to export or query it.
• API requests failing. Usually an authentication or entitlement issue rather than a syntax problem — verify both before troubleshooting the request itself.

If you are unsure whether a specific dataset is included in your access, check the dataset page's access indicators or your account's subscription details before building a workflow around it.