Nasdaq Data Link vs Polygon (Massive) for Quant Research

Nasdaq Data Link vs Polygon (Massive) for Quant Research

Curated datasets against a developer price API. The two solve different problems, and many research stacks end up using both.

What You Are Really Comparing

Nasdaq Data Link and Polygon.io (Massive) are both popular with quants, and they are different kinds of product. Nasdaq Data Link is a marketplace of curated datasets, including point-in-time fundamentals like Sharadar, while Polygon is a developer-first price API with deep US market data. The comparison is between curated, research-ready datasets and a flexible raw price feed.

A concrete example shows why this is rarely an either-or. Suppose you are backtesting a fundamentals strategy that ranks names by point-in-time book value and trades daily on price signals. You need point-in-time fundamentals, which Sharadar on Nasdaq Data Link provides, and you need deep daily prices to execute against, which Polygon provides. Picking one leaves a hole in the other half of the strategy. The products sit on different layers of the stack, so the realistic question is how to combine them rather than which to drop.

Nasdaq Data Link: Strengths and Trade-offs

Nasdaq Data Link hosts curated datasets from many providers, with standardized access and some genuinely point-in-time products such as Sharadar fundamentals. Its strength is research-ready, curated data, including datasets that are hard to assemble yourself, accessed through one platform. For point-in-time fundamentals and specialized datasets, it is a primary source, as our Nasdaq Data Link alternatives guide discusses.

The trade-offs are that coverage and quality vary by dataset, pricing is often per dataset, and it is not a real-time price feed. You are buying curated research inputs rather than a live developer API.

Polygon (Massive): Strengths and Trade-offs

Polygon provides deep US price data down to the tick, with REST and WebSocket access and flat-rate pricing. Its strength is flexible, developer-friendly price data at a predictable cost, which suits backtests and applications that need prices and intraday granularity. For the price layer of a research stack, it is a strong default, as our Polygon (Massive) alternatives guide explains.

The trade-offs are that it is focused on prices rather than curated fundamentals or specialized research datasets, so it covers a different layer of the stack than a curated marketplace.

Head-to-Head

Where Each Wins

Nasdaq Data Link wins when you need curated, research-ready datasets, especially point-in-time fundamentals, that would be hard to build yourself. Polygon wins when you need flexible, deep price data for backtests and tools at a predictable cost. They serve different layers, and the wider field is mapped in our roundup of the best market data APIs for algorithmic trading.

Because they cover different needs, many research stacks use both: Polygon for prices and Nasdaq Data Link for curated fundamentals and specialized datasets.

The Layer Both Leave Open

Even with curated fundamentals and a deep price feed, a gap remains. Neither product centers on dated corporate-event signals or a point-in-time optionable universe, which event-driven and options strategies need around prices and fundamentals.

Alphanume's dilution events dataset adds dated financing events, the historical market cap dataset supplies point-in-time size, and the optionable tickers dataset provides point-in-time options eligibility. These complement both a curated marketplace and a price API.

Which Should You Choose?

Choose Nasdaq Data Link for curated, point-in-time fundamentals and specialized datasets, and Polygon for flexible, deep price data, recognizing that they cover different layers. Many stacks use both. Whichever you start with, add a structured event and universe layer, because curated fundamentals and raw prices together still do not supply the corporate-event and options-eligibility context a complete strategy needs.