How stock tick data enhances trade surveillance and compliance

By Intrinio
October 3, 2025
data enhances trade

The importance of trade surveillance and compliance

In today’s financial markets, compliance isn’t just about avoiding fines—it’s about maintaining trust. Regulators demand transparency, investors expect integrity, and firms that fail to monitor trading activity effectively put both their reputation and bottom line at risk.

Trade surveillance sits at the center of this responsibility. It’s the process of tracking, analyzing, and reporting trading activity to detect potential market abuse, insider trading, or manipulation. Done right, surveillance is proactive, catching anomalies before they turn into regulatory headaches. Done poorly, it can lead to missed red flags, costly penalties, and erosion of client confidence.

That’s where stock tick data comes in. Tick data provides the most granular view of trading activity, capturing every change in price, size, and trade execution across the market. While end-of-day prices tell part of the story, only tick data reveals the full sequence of market events—the “breadcrumbs” regulators and compliance teams need to follow.

Applications of tick data in compliance and surveillance

The power of tick data lies in its detail. With every price movement and trade recorded, compliance teams can build a precise and defensible record of what actually happened in the market. Here are some of the ways tick data supports surveillance and compliance:

Detecting suspicious trading patterns

Tick-by-tick data makes it possible to spot patterns that might otherwise go unnoticed. For example, layering, spoofing, and wash trades can often be detected only when every bid, ask, and trade is analyzed in sequence. Without tick-level detail, these manipulative tactics can slip through the cracks.

Supporting best execution policies

Regulations require firms to demonstrate that they executed trades at the best available prices. Tick data provides the evidence, allowing compliance officers to reconstruct the order book and confirm that execution quality met regulatory and client standards.

Auditing and forensics

When regulators investigate, they want the receipts. Tick data allows firms to replay market activity around a specific event, offering an audit trail that shows exactly what occurred. This can be critical in defending against enforcement actions or client disputes.

Market abuse monitoring

Insider trading and front-running often leave subtle fingerprints. By analyzing the timing of trades relative to news releases or large client orders, compliance teams can use tick data to flag suspicious activity that suggests illicit behavior.

Backtesting surveillance models

Surveillance technology is only as good as the data it runs on. Tick data enables firms to backtest detection algorithms under realistic conditions, ensuring that models can catch market manipulation in both calm and volatile markets.

Scaling enterprise reporting with stock tick data

For enterprise firms, compliance isn’t just about detection—it’s also about reporting. Regulators expect consistent, accurate, and timely submissions, often across multiple jurisdictions.

This is where the scale of tick data becomes both a challenge and an opportunity. A single day of tick data can contain millions of records per security, which means enterprises need infrastructure capable of ingesting, storing, and analyzing massive datasets. But when that challenge is met, the payoff is substantial:

  • Comprehensive coverage: Enterprises can monitor entire portfolios or even global markets at a granular level, leaving fewer blind spots.

  • Automated reporting: Structured tick data can feed directly into enterprise compliance systems, reducing manual effort and human error.

  • Regulatory alignment: With standardized tick data, firms can more easily align reporting formats to meet evolving rules from regulators like the SEC, FINRA, and ESMA.

  • Future-proofing: As surveillance requirements expand (and they always do), firms with tick data pipelines already in place are prepared to adapt.

For enterprises, scaling compliance with tick data isn’t just about meeting today’s rules—it’s about staying ahead of tomorrow’s.

Strengthen compliance with Intrinio’s stock tick data API

At Intrinio, we understand that surveillance and compliance teams can’t afford to cut corners. That’s why we built our stock tick data API to deliver the detail and reliability compliance demands—without the usual integration headaches.

Here’s what you can expect from our tick data solutions:

  • Granularity that matters: Every trade and quote update, delivered with millisecond timestamps for full transparency.

  • Historical depth: Access to years of historical tick data so you can backtest surveillance models, reconstruct past events, and build long-term audit trails.

  • Enterprise-scale delivery: APIs and bulk download methods designed to handle millions of records seamlessly.

  • Trusted sources: Our tick data is sourced from reputable exchanges and validated for consistency, ensuring compliance teams work with clean and reliable inputs.

  • Support that understands compliance: Our team works with fintechs, brokers, and enterprise firms every day, helping integrate tick data into compliance workflows quickly and effectively.

Trade surveillance and compliance will only become more demanding in the years ahead. Regulators are sharpening their tools, markets are growing more complex, and the pressure to protect investors is higher than ever. Firms that embrace tick data today will be the ones best equipped to stay compliant tomorrow.

Intrinio’s stock tick data API isn’t just about data—it’s about peace of mind. Reliable, granular, and built for scale, it gives compliance teams the clarity they need to monitor markets with confidence.

Because when it comes to compliance, the details aren’t just important—they’re everything.

If you’d like to take a trial of Intrinio’s tick data, request a consultation, and a member of our team will set it up for you ASAP.

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