Market Data Feed Costs: Find the Right Solution for You
Market data is not one product with one price. It is a chain of costs — exchange fees, vendor margins, delivery infrastructure — stacked on top of each other. Understanding where the money goes explains why two feeds covering the same asset class can differ by a factor of ten in price, and why the cheapest option is not always the wrong one.
Where the cost actually comes from
The largest component in most data feed prices is the exchange fee. Exchanges — NYSE, Nasdaq, Eurex, CME Group — charge licensing fees for the right to receive and redistribute their data. These fees are not negotiable. A vendor cannot offer Eurex real-time data cheaper than Eurex's own licensing terms allow.
What vendors add on top varies. Some pass exchange fees through transparently and charge a separate service fee. Others bundle everything into a single subscription price. The practical result is that two vendors offering "Eurex real-time data" may quote different prices not because their data is different, but because their pricing structures are different. Asking for a breakdown of exchange fees versus service fees is a reasonable first question to any vendor.
Delayed data costs less because exchanges charge lower licensing fees for data published 15 minutes after execution. The data itself is identical — it is just the timing that changes, along with the license. For use cases that do not require current prices, this is where significant savings are possible. See delayed data feeds for a practical comparison of what changes and what does not.
Subscription models
Most professional data feeds use a subscription model: a fixed monthly fee for access to a defined set of exchanges and data types. The advantage is predictability — the cost does not vary with how much data you pull. The disadvantage is that you pay for exchanges you do not use if you select a bundle that is broader than you need.
Modular pricing solves this by letting you select individual exchange packages. TAI-PAN uses this structure: you subscribe to the specific exchange packages you need rather than paying for a fixed bundle. If you trade Eurex futures and XETRA equities, you subscribe to those two feeds. If you later add US futures, you add the CME package. The cost scales with actual scope rather than an estimated one.
Pay-as-you-go models charge per API call or per data record. They suit developers building applications with unpredictable or low query volumes. For continuous real-time feeds — data that arrives whether you query it or not — pay-as-you-go rarely makes sense.
What changes at different price levels
At the entry level, feeds typically cover delayed data or real-time data for one or two markets, delivered via API with usage limits. Free tiers from providers such as Alpha Vantage or Nasdaq Data Link fall here. They are adequate for prototyping, learning, or longer-horizon analysis that does not require current intraday prices.
Professional feeds for active traders and analysts cover real-time data across multiple exchanges, include historical depth for backtesting, and are delivered via push technology rather than polling. TAI-PAN's Global Data Feed starts at €29 per month for real-time coverage of Tradegate, Lang & Schwarz, indices, forex, commodities, and crypto — with delayed data for NYSE, Nasdaq, and other markets included. A 30-day trial is available for €1. This range covers the majority of what private traders and independent analysts need.
Institutional-grade feeds — Bloomberg Terminal, LSEG Eikon, ICE Data Services — are priced for organisations that need global coverage across all asset classes, guaranteed uptime SLAs, compliance documentation, and dedicated support teams. Bloomberg Terminal runs at roughly $27,000 per year per user. The capabilities are broader, but so is the audience it is designed for. Most active traders and smaller firms are not in that audience.
Hidden costs worth checking
Exchange fees sometimes include a "professional user" surcharge. If your organisation meets certain criteria — trading on behalf of clients, managing a fund, generating revenue from the data — exchanges classify you as a professional user and charge accordingly. The criteria differ by exchange. Worth checking before you subscribe.
Distribution rights matter if you plan to display data to third parties. A feed licensed for internal use cannot legally be displayed on a public website or shared with clients without additional licensing. Most vendors are clear about this, but it is worth confirming in writing.
Storage and connectivity are sometimes billed separately from the data itself. Cloud-delivered feeds may include bandwidth costs; co-location setups for low-latency access carry their own infrastructure costs. For most non-HFT users, these are not relevant — but they appear in contracts and are worth reading.
Reducing costs without reducing coverage
The fastest way to find savings is to audit which feeds are actually in use. Organisations that have grown organically often subscribe to more exchanges and data types than any individual strategy requires. Cutting unused feeds is the simplest cost reduction available.
Switching from real-time to delayed data for markets where you are not actively trading intraday is another straightforward adjustment. If you hold a position in European equities for several days and only review it at the close, real-time XETRA data costs you money for a service you do not use.
A full overview of available packages and exchange-by-exchange pricing is on the market data pricing page.
TAI-PAN data feeds
TAI-PAN, provided by Lenz + Partner — part of the Infront Group — covers equities, futures, forex, indices, and commodities via real-time push technology. Subscriptions are modular by exchange: Eurex, CME, XETRA, NYSE, Nasdaq, Euronext, and others are available as individual packages. Historical records cover daily data from 1987 and intraday tick data from 2002. The feed integrates directly with ATAS, NinjaTrader, ELWAVE, AgenaTrader, and AmiBroker.
