TRADE SURVEILLANCE & COMPLIANCE
Use TT® Score and leverage machine learning to identify trading behavior that may prompt regulatory inquiries.
Get complete transparency into your firm's compliance risk with minimal effort.
Detect potential high-risk activity using advanced pattern recognition and flag hidden threats well before disaster strikes.
Discover manipulative or disruptive activity before violations happen, preventing fines and enforcement investigations.
Streamline compliance and risk reviews by identifying, prioritizing and addressing higher risk activity sooner and more efficiently.
Find outlier events by understanding historical trends, environmental context and correlation within firm activity.
Instantly enable for use with TT
Compliance officers can immediately monitor and evaluate order activity for all traders, and individual users can monitor their own activity.
Surveil users of other platforms
Use FIX Drop Copy to pull order activity from any platform, including X_TRADER®, third-party vendors and proprietary systems, into the TT platform and store it indefinitely.
Compliance technology highlights
- Pattern recognition based on machine learning identifies behaviors that pose the greatest regulatory risk to your firm.
- Trained to recognize high-risk activity from actual regulatory cases and investigations.
- Learns as it becomes exposed to new data to improve accuracy.
- Adapts easily to new infrastructure, data sources and regulatory mandates.
Machine learning technology identifies patterns of behavior that pose the greatest regulatory risk with unparalleled precision. Learn more.
Cluster and Score
Aggregate order message data into “clusters” of related intent to understand overall trader behavior. Automatically generate a “risk score” for each cluster that represents its similarity to patterns that have drawn negative regulatory attention in the past.
Visualize and Investigate
Illustrate the compliance risk of any firm cross-section, including trader, product or sales group. Quickly analyze trader activity and take corrective action where necessary.
SURVEILLANCE MODEL OVERVIEWS
Catch multiple types of potentially problematic activity.
Identify various forms of market abuse that involve false or misleading order activity known as spoofing.
Abusive Messaging Detection
Spot patterns of disruptive or excessive order activity.
Momentum Ignition Detection
Pinpoint behavior designed to initiate rapid market movement at the expense of other participants.
Pinging and Phishing Detection
Detect activity designed to take advantage of hidden volume at the expense of slower market participants.
Wash Trade Detection
Identify executions with no change in beneficial ownership.
Cross Trade Detection
Expose potential cross trades without sufficient delay between order entries.