Licensing FAQ

How real-time market data licensing works

Real-time market data carries license fees set by the exchanges, in addition to the algoseek data license. This page provides guidelines for classification, exchange fee examples, what you can do with your data, and how streaming pricing works with packages.

Are you professional or non-professional

This is the single biggest factor in your exchange streaming license cost. The classification requirements are set by each individual exchange. Answer five questions to get guidance on where you fall.

If you trade money on behalf of others, or if you access the data through a business entity, you are professional. If you trade only your own money in your own personal account (no matter how much), you are non-professional.

Your professional industry background does not change the answer if you are trading only for your own account. A quant trader at a hedge fund who runs a personal IRA on the side using algoseek data is non-professional for that personal use.

Exchange fees for non-professional subscribers are significantly lower. The classification is declared formally during onboarding. Getting the classification correct is important because exchanges will aggressively pursue underpayment.

Question 1 of 4

Are you accessing the data through a business entity?

Any LLC, fund, partnership, corporation, foundation, family office, prop firm, or trust receiving the data is automatically professional, regardless of who owns the entity. The size of the entity does not matter.

Question 2 of 4

Are you registered or qualified with any securities or futures regulator?

SEC, FINRA, CFTC, NFA in the United States. FCA in the United Kingdom. ESMA member regulators in Europe. ASIC in Australia. Any equivalent body anywhere else. Includes Series 7, Series 65, and equivalent licenses whether or not currently active.

Question 3 of 4

Do you trade or research on behalf of anyone other than yourself?

Clients, investors, a fund, or anyone you owe a fiduciary duty to. This includes any role where you receive compensation for advice, signals, model outputs, or research from anyone other than yourself.

Question 4 of 4

Are you employed by a financial firm in a role that uses market data?

A bank, broker-dealer, investment manager, fund, exchange, or any financial institution where your employer pays you to use market data in any capacity. If the market data use is related to your work or business, you are professional. If the data is strictly for your own personal use and not related to your work, you are classified as professional unless granted an exception from the exchange.

Classification result
Professional

You are professional

Based on: Accessing data through a business entity
Any business entity receiving the data is automatically classified as professional, regardless of size or ownership structure. This applies to the entity itself. If you also hold a separate personal account for your own money, that personal use may still qualify as non-professional.
Classification result
Professional

You are professional unless granted exception

Based on: Registered with a financial regulator
Registration or qualification with a securities or futures regulator makes you professional for the purposes of real-time data licensing, whether or not the registration is currently active. If the feed is for your personal use and not related to any business or your certification, you may be able to get an exception from the exchange. This must be pre-approved by the exchange.
Classification result
Professional

You are professional

Based on: Acting on behalf of others
Trading, researching, or providing investment advice on behalf of others makes you professional. This includes any arrangement where someone other than you benefits from the data or its outputs, whether or not you are compensated.
Classification result
Professional

You are professional

Based on: Employed by a financial firm in a data-facing role
If your employer pays you to use market data in any way, you are professional. An IT engineer at a hedge fund who never looks at quotes is non-professional for personal use. A research analyst at the same firm is professional even for the same personal account, by the strict reading of most exchange rules.
Classification result
Non-Professional

You may qualify as non-professional

Based on: Personal use only, no regulatory registration, no business entity
Based on your answers, you trade only your own money in your own personal account, hold no regulatory registration, and are not employed by a financial firm in a data-facing role. You may declare non-professional status during onboarding. You are responsible for updating algoseek if your circumstances change.

Classification FAQ

  • Are you professional if you access the data through a business entity?

    +

    Yes. Any LLC, fund, partnership, corporation, foundation, family office, prop firm, or trust receiving the data is automatically professional, regardless of who owns the entity. The size of the entity does not matter. If you also hold a separate personal account for your own money, that personal use may still qualify as non-professional.

  • What if you trade or research on behalf of others?

    +

    You are professional. This includes any role where you receive compensation for advice, signals, model outputs, or research from anyone other than yourself. It also covers trading on behalf of clients, investors, or a fund, and any arrangement where someone other than you benefits from the data or its outputs.

  • Does your professional background change the answer?

    +

    Not if you are trading only for your own account. A quant trader at a hedge fund who, on the side, runs only their personal IRA and a personal brokerage account using algoseek data is non-professional for that personal use. The classification follows the use, not the person.

  • Who sets these rules?

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    The exchanges and the SEC. algoseek acts as a vendor of record on behalf of the exchanges and is responsible to enforce the exchange regulations. Professional exchange fees are paid directly to the exchanges.

  • Does regulatory registration make you professional?

    +

    Yes. Registration or qualification with any securities or futures regulator makes you professional. This includes the SEC, FINRA, CFTC, and NFA in the United States, the FCA in the United Kingdom, ESMA member regulators in Europe, ASIC in Australia, and any equivalent body anywhere else. Series 7, Series 65, and equivalent licenses count whether or not they are currently active.

  • Does working at a financial firm make you professional?

    +

    If the market data use is related to your work or business, you are professional. If you are classified as professional but the data is strictly for your own personal use and not related to your work, you are classified as professional unless you receive an exception from the exchange.

  • When do you qualify as non-professional?

    +

    If none of the above apply. You trade only your own money in your own personal account, hold no regulatory registration, and are not employed by a financial firm in a data-facing role. The declaration is made formally during onboarding, and you are responsible for updating algoseek if your circumstances change.

Exchange license fees

When you add streaming real-time or delayed feeds, there are exchange fees which are separate from algoseek’s license fees.

Exchange licensing fees are complex and based on the type of feed you subscribe to, professional versus non-professional, and how you are using it (display versus non-display). The following gives sample fees specifically for a trading firm that is using computers to create buy and sell signals for trading, which is classified as non-display. These are exchange fees, not algoseek fees.

Asset class and feed Non-professional Professional
US equities (CTA)
Network A (NYSE-listed) + Network B (regional). Non-display Category 1
$2/mo
$1/mo per network
$6,000/mo
Network A: $2,000 last sale + $2,000 quotes + $2,000 indirect access. Network B: $1,000 last sale + $1,000 quotes + $1,000 indirect access
US equities (UTP)
Tape C (Nasdaq-listed securities)
$1/mo $4,000/mo
US equity options (OPRA)
Consolidated options feed, all 18 exchanges
$1.25/mo per user $2,000/mo
Exception for single-person professional may apply
US futures: CME
Includes depth of market
Per month:
Real-time feed: $610
User non-display: $457
Per month:
Real-time feed: $610
Non-display, 1 app: $609
US futures: CBOT
Includes depth of market
Per month:
Real-time feed: $610
User non-display: $457
Per month:
Real-time feed: $610
Non-display, 1 app: $609
US futures: NYMEX
Includes depth of market
Per month:
Real-time feed: $610
User non-display: $457
Per month:
Real-time feed: $610
Non-display, 1 app: $609
US futures: COMEX
Includes depth of market
Per month:
Real-time feed: $610
User non-display: $457
Per month:
Real-time feed: $610
Non-display, 1 app: $609
Delayed feeds: CTA
Typically 15 minutes
No exchange fees No exchange fees
Delayed feeds: UTP
Typically 15 minutes
No exchange fees $250/year
Delayed feeds: OPRA
Typically 15 minutes
No exchange fees No exchange fees
Delayed feeds: CME, CBOT, NYMEX, COMEX
Per exchange
Per month:
Delayed feed: $304
User non-display: $457
Per month:
Delayed feed: $304
Non-display, 1 app: $609
Historical data: CTA No exchange fees No exchange fees
Historical data: UTP No exchange fees No exchange fees
Historical data: OPRA No exchange fees No exchange fees
Historical data: CME, CBOT, NYMEX, COMEX No exchange fees No exchange fees

Fees as published by the exchanges, current as of January 2026. Subject to change at exchange discretion.

These are sample fees for receiving a streaming data feed for algorithmic use (non-display). This information is for guidance only. Exchange fees are complicated and all decisions are made by the exchanges. algoseek acts as a vendor of record on behalf of the exchanges and is responsible to enforce the exchange regulations.

algoseek streaming real-time and delayed pricing

Streaming real-time and delayed data is licensed separately from historical data.

Historical data: no exchange fees

While algoseek as vendor of record is required to have a license agreement with the client, there are no fees currently imposed by the exchanges for historical data. Clients can start with historical data for their research and apply for a streaming license when ready.

Streaming data: exchange fees apply

The algoseek streaming price covers the data delivery service, infrastructure, and support. Exchange fees are paid separately and on top of algoseek’s license fees. For real-time feeds, there may be additional delivery components depending on the method: co-location, internet delivery, or dedicated bandwidth.

50% off streaming with a package

If you have an algoseek asset class package and bundle in a streaming feed for that same asset class, the algoseek streaming data price is 50% of list price. The reduction applies to the data price only, not the exchange license fees, which are set by the exchanges. A team with the Equities Package that adds streaming equity trades and minute bars pays half the listed streaming price for those feeds.

Usage rights for algoseek data

The exchange fees above are separate from the algoseek data license. Below are the most common questions that clients ask.

Your data, your way

Chosen under scrutiny

Can I download the data?

Yes. Download the data, as much as you like, and store it wherever you control.

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Where am I allowed to store the data?

Any computer that you manage or control. Cloud, physical computers in a data center, in the office, or on your laptops. There is no geographic restriction and no requirement to store within a specific cloud provider.

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How many users does a license cover?

Up to 10 concurrent users by default, on packages and individual datasets alike. A quant team is rarely larger than that. For more than 10 users, additional blocks of 5 or 10 are available, or an enterprise license.

End of license and options

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What happens at the end of the license?

You delete all the raw algoseek data. Your derived data stays with you.

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Can I buy the data outright?

Yes. You can buy the data at any time for a one-time payment. You own it in perpetuity, with no user limit. Buy pricing is a sales conversation.

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Can I share the data with a partner firm or a co-investor?

No. The license is for internal use within the licensed entity. Sharing the raw data with a separate firm requires a separate license. For platform-style use, see the fintech section below.

What counts as your IP and what does not

The line is whether the original algoseek data could be reverse-engineered from what you produced.

This counts as derived

Signals. Sampled data. Statistical outputs from the original dataset or from combining multiple datasets. Anything that cannot be reverse-engineered back into or close to the raw algoseek dataset.

Examples. A regression coefficient. A trained model. A backtest result. A daily P&L series. A signal published as plus or minus one. A sentiment score derived by combining algoseek with another vendor.

This does not count as derived

A simple transformation that lets the original be reconstructed. The standard example is a midpoint price calculated from the bid and the ask. Once you have midpoints by timestamp, the original quote stream is recoverable, so a midpoint dataset is not derived.

Other examples. A reformatted CSV. A reordered table. A subset of the raw data with the same fields. A recompressed file.

Your research output is yours to keep, even after the license ends. The raw algoseek data is returned or deleted. If you are unsure whether something you have built counts as derived, ask us before the question becomes a problem.

Building a fintech product that uses the data

The standard license on the pricing page is designed for internal use by a fund, research team, or trading team. It does not cover redistribution, display to end users, or embedding in a product. If you are building a fintech, a broker, an analytics platform, a research portal, or anything else where the data or its outputs are visible or accessible to your customers, you need a different exchange license.

algoseek works actively with fintechs to help you understand the required exchange licensing. Discussion topics to determine the right structure may include: redistribution, display rights, end user accounts, raw data versus derived data, and query through interface, as each of these can change an exchange license requirement. algoseek will also discuss its licensing fees based on your requirements.

A 30-minute call usually establishes the right structure.

Talk to our team about a fintech license →

See it before you sign anything

Up to a year of historical data across all asset classes. Jupyter, SQL, Excel. No credit card, no sales call required.

Talk to our team

Custom licensing, enterprise pricing, streaming infrastructure, or a question about a specific dataset? Talk to a person who has worked with the data, not just read about it.

Why algoseek

Chosen by two US regulators after they compared every vendor. Battle-hardened security masters built and maintained by algoseek.