How do I ensure my trading screen data use with market data feed APIs is compliant with exchange licensing rules?

To stay compliant, treat market data feeds as licensed content, not just technical APIs. The main goal is to make sure your use of exchange data on trading screens matches the exchange’s market data agreement, redistribution rules, and display/user licensing terms.

Practical compliance checklist

1) Identify exactly what data you use

Document for each screen/app:

• Which exchanges and venues
• Real-time vs delayed vs end-of-day
• Level 1 vs Level 2/order book vs trades/quotes vs reference data
• Derived data/analytics based on exchange data
• Whether users can view, copy, export, or redistribute it

Different data types often have different licensing rules and fees.

2) Read the relevant agreements, not just the API docs

Look at:

• Exchange market data agreement
• Vendor/SaaS agreement if using a data provider
• User display license terms
• Redistribution/sub-licensing terms
• Professional vs non-professional user definitions
• Internal use vs external display terms

API terms often focus on access, while the license governs usage.

3) Determine if your use is “display,” “redistribution,” or “internal”

Common categories:

• Internal use: data shown only to employees within your firm
• External display: shown to clients/customers or on public-facing systems
• Redistribution: passing data onward to third parties or embedding it in another product
• Non-display use: algorithmic trading, analytics, storage, surveillance, backtesting

These may require separate rights and reporting.

4) Track users and usage classifications

Exchanges often require:

• Professional vs non-professional user categorization
• Named user counts or device counts
• Location/entity-specific licensing
• Audit logs for who accessed what and when

Have a process to update classifications when users change roles.

5) Control redistribution and copying

Implement technical controls such as:

• No unrestricted API passthrough to customers
• UI restrictions on export, screen-scraping, and bulk download
• Watermarking or entitlements
• Rate limits and access controls
• Segregation of licensed data from unlicensed or third-party content

If you allow clients to see data, that is often not “internal use.”

6) Watch for derived and aggregated data rules

Some exchanges allow derived data with conditions; others treat it as still licensed if:

• Raw prices are reconstructable
• Data is a substitute for the original feed
• Latency is low enough to be considered real-time display
• The product is based substantially on exchange data

Clarify whether your analytics, charts, signals, or indicators create a separate licensing obligation.

7) Handle storage, archiving, and backtesting carefully

Many licenses limit:

• How long you can store data
• Whether you can keep historical tick data
• Whether data can be used for model training or backtesting
• Whether archives can be accessed after termination

Make sure retention policies match the license.

8) Set up fee and reporting controls

Exchange licenses may require:

• Monthly user reporting
• Device or subscriber counts
• Redistribution reports
• Audit responses
• Minimum fees or per-user fees

Assign ownership for these filings and reconcile against actual usage.

9) Review your vendor chain

If you get data through an aggregator or cloud platform:

• Confirm the vendor has rights to license the exchange data for your use case
• Verify what you are allowed to do directly
• Check whether you need to sign the exchange agreement yourself
• Confirm pass-through restrictions and indemnities

A vendor’s permission does not always cover your downstream use.

10) Keep evidence of compliance

Maintain:

• Signed agreements
• Policy documents
• User entitlements and classifications
• Usage reports
• Audit logs
• Training records
• Data-flow diagrams

This helps during exchange audits or disputes.

Common compliance pitfalls

• Using real-time exchange data on a client-facing screen without a redistribution license
• Treating all users as “non-professional” without proper certification
• Allowing screen scraping or API replay
• Using historical market data for ML/backtesting beyond the license scope
• Assuming data from an exchange API is free because it is technically accessible
• Failing to report users, devices, or terminals accurately
• Displaying data from multiple venues under one license without checking each venue

Best practice governance

Create a small internal process:

1. Inventory all feeds and screens
2. Map each use case to the applicable license
3. Approve new use cases before launch
4. Monitor user counts and data retention
5. Audit periodically
6. Escalate any redistribution or productization of data

When to get legal/compliance review

Get review before launch if you are:

• Displaying data to customers
• Creating a new product or dashboard
• Using multiple exchanges
• Combining feeds with derived analytics
• Storing tick data or building models
• Allowing any form of onward sharing

Bottom line

Compliance comes down to matching the exact use of the market data to the exact rights granted in the exchange/license agreement, and then enforcing that in your product and operations.

If you want, I can help you build a market data compliance checklist template or a data-use classification matrix for internal/external display, redistribution, and analytics.