OMeT-i
From Market Activity to Market Intelligence
OMeT captures how markets behave, how liquidity forms, and how execution quality evolves, turning trading activity into structured institutional intelligence.
Every market interaction contains information. OMeT transforms that activity into usable insight for firms that need more than execution alone.
Interaction Creates Data.
Intelligence Creates Value.
Execution produces more than transaction records. It generates signals about timing, behavior, liquidity, and market conditions.
OMeT-i is built to convert those signals into a structured intelligence layer for analysis, decision support and oversight.
Turning Workflow Exhaust into
Structured Market Intelligence
A new category of institutional market services.
Trade activity creates a stream of behavioral and operational signals.
OMeT captures that activity, structures it, and makes it usable across the institutional workflow.
How the Intelligence Layer Is Built
A structured pipeline from raw activity to institutional-grade insight.
01 Ingestion
Capture participant interaction, workflow events, and execution states.
02 Signal Extraction
Identify meaningful markers in market context.
03 Validation
Verify data provenance and signal integrity.
04 Structure
Normalize events into the Waterfall record.
05 Output
Make intelligence queryable across analytics and monitoring.
06 Archive
Create and store historical reference datasets over time.
SaaS teams waste hours switching between tools, copying data, and fixing broken processes. mlined workspace.
Why This Matters
Every action on OMeT contributes to an intelligence layer that improves market understanding over time.
Surveillance
Contextualize activity patterns and monitor market behavior.
Gain clearer visibility into trading activity by identifying patterns, anomalies, and shifts in market behavior across participants and products.- Support oversight teams with better context around transactions, market events, and behavioral trends to improve monitoring and review processes.
- Strengthen market transparency by helping firms detect unusual activity earlier and respond with greater confidence and operational control.
Trade Reconstruction
Replay order formation, workflow events, and execution states.
- Recreate the full lifecycle of a trade by tracing order creation, workflow progression, user interactions, and execution milestones from initiation through completion.
- Give compliance, operations, and oversight teams a clearer view into how decisions were made, when key events occurred, and how a transaction moved through each stage.
- Improve investigations, reporting, and internal reviews with a structured audit trail that helps teams validate activity, resolve questions faster, and strengthen operational accountability.
Execution Analytics
Measure performance, timing, and transaction quality.
- Evaluate execution performance with deeper insight into timing, pricing, and workflow efficiency across orders, trades, and counterparties.
- Help trading, operations, and oversight teams assess transaction quality by identifying trends, delays, and execution outcomes throughout the trade lifecycle.
- Support more informed decision-making with analytics that highlight performance patterns, improve process transparency, and uncover opportunities to enhance execution quality.
Operational Visibility
Track trade progression across workflow and post-trade states.
- Monitor the status of trades as they move through execution, confirmation, allocation, and post-trade processing, giving teams a clearer view of progress and dependencies.
- Improve coordination across front, middle, and back-office functions by providing shared visibility into workflow stages, handoffs, and outstanding actions.
- Reduce operational friction with better insight into bottlenecks, exceptions, and delays, helping teams resolve issues faster and maintain stronger control over trade processing.
Decision Support
Use structured market behavior to assess liquidity and opportunity.
- Turn market activity into actionable insight by helping teams evaluate liquidity conditions, participant behavior, and shifts in trading patterns across products and markets.
- Support trading and strategy teams with structured data that provides better context for identifying execution opportunities, monitoring market changes, and informing decisions with greater confidence.
- Improve the quality of decision-making by combining market behavior analysis with clearer visibility into timing, activity trends, and areas of potential opportunity.
Access OMeT Intelligence
See how structured market intelligence can support analysis, oversight, and better institutional decisions.