Market Data Licensing Basics

Market data licensing and usage restrictions are often overlooked but critically important compliance issues in quantitative trading. This document covers basic concepts and common pitfalls.


1. Professional vs Non-Professional Users

Exchanges and data vendors typically classify users into two categories with vastly different pricing:

TypeDefinitionTypical Monthly Fee (US Real-time Data)
Non-ProfessionalIndividual investor, data used solely for personal investment decisions$0-15/month
ProfessionalManaging money for others, working at a financial institution, or using data for commercial purposes$100-500+/month

Common Pitfalls:

  • Registering as Non-Pro while actually managing others' money → Violation
  • Using Non-Pro rates under a corporate account → Violation
  • Displaying real-time quotes on blog/YouTube → May require Pro license

SEC Rule: If you are registered in the securities industry, manage money for others, or use data for commercial purposes, you are a Professional User.


2. Redistribution Restrictions

Almost all market data has redistribution restrictions:

ActivityAdditional License Required?
Viewing real-time quotes yourself❌ Basic subscription sufficient
Displaying to team in internal systems⚠️ May require multi-user license
Displaying publicly on website/app✅ Requires Display license
Providing to clients✅ Requires Redistribution license
Storing and reselling to others✅ Requires Vendor license

Cost Magnitude:

  • Display license: $500-5,000/month and up
  • Redistribution license: $5,000-50,000+/month
  • Exchanges will audit your usage

3. SIP/OPRA vs Direct Feeds

Two Sources for US Stock Data

SourceDescriptionLatencyCost
SIP (Consolidated Feed)Aggregated feed from all exchanges~1-10msLower ($50-200/month)
Direct FeedDirect from individual exchange~50-200μsHigh ($5,000+/month/exchange)

Options Data (OPRA)

  • OPRA is the consolidated options data feed for US markets
  • Massive data volume: peaks at 1M+ messages/second
  • Full OPRA subscription: $2,000-10,000+/month
  • Many vendors offer simplified "Top of Book" versions at lower cost

4. Common Compliance Pitfalls

1. Delayed Data ≠ Unrestricted

  • 15-minute delayed data still has usage restrictions
  • Cannot be used for commercial display (without license)
  • Cannot be stored and redistributed at scale

2. Free API ≠ Commercially Free

  • Free APIs like Yahoo Finance, Alpha Vantage typically prohibit commercial use
  • Using for commercial backtesting systems may violate terms
  • Recommendation: Use properly licensed paid data sources for commercial purposes

3. Historical Data Has Restrictions Too

  • Cannot resell purchased historical data
  • Cannot use to build competing products
  • Some data has usage time limits

4. Cross-Border Usage

  • Using US data in other countries may have data export compliance requirements
  • Using foreign market data may require specific regional licenses

5. Compliance Recommendations

  1. Clarify Purpose: Personal learning, internal research, or commercial product?
  2. Keep Records: Save subscription agreements and authorization emails
  3. Regular Audits: Check if data usage exceeds license scope
  4. Ask Vendors: When uncertain, ask the data vendor directly
  5. Budget Buffer: Compliance costs can exceed data costs

6. Key Points by Market

MarketRegulator/Data SourceKey Considerations
US StocksSEC / SIP / ExchangesStrict Pro vs Non-Pro distinction
US OptionsOPRAHigh data volume, full subscription expensive
US FuturesCME GroupCharged by product line
China A-sharesSSE/SZSEMust obtain through authorized vendors
Hong KongHKEXReal-time data requires separate payment
CryptocurrencyVarious exchangesRelatively relaxed, but still has restrictions

Further Reading


Disclaimer: This document is for reference only and does not constitute legal advice. For specific compliance questions, please consult a professional lawyer or data vendor.

Cite this chapter
Zhang, Wayland (2026). Market Data Licensing Basics. In AI Quantitative Trading: From Zero to One. https://waylandz.com/quant-book-en/Market-Data-Licensing-Basics
@incollection{zhang2026quant_Market_Data_Licensing_Basics,
  author = {Zhang, Wayland},
  title = {Market Data Licensing Basics},
  booktitle = {AI Quantitative Trading: From Zero to One},
  year = {2026},
  url = {https://waylandz.com/quant-book-en/Market-Data-Licensing-Basics}
}