Trade Anomaly Detection
Trade anomalies, from fat-finger entry errors to systematic manipulation signals, don't announce themselves. 3forge applies statistical models to live order flow, flagging deviations from expected behavior the moment they appear, so firms can investigate and act before a situation escalates.
The Challenge
Anomaly Detection That Runs After Market Close Misses the Window
Most anomaly detection systems process end-of-day order data against static rule sets. By the time a suspicious pattern is flagged, the trading session is over and the window for intervention has closed.
Detection latency
Batch anomaly detection running after close can identify patterns for reporting purposes, but can't trigger real-time intervention before a fat-finger or manipulative sequence completes.
High false-positive rates
Simple threshold rules generate excessive alerts that desensitize risk teams, causing genuine anomalies to be dismissed alongside noise.
Cross-asset blind spots
Manipulation strategies that span asset classes, such as spoofing in futures to move cash equity prices, are invisible to single-asset anomaly detection systems.
Manual review bottlenecks
Alert queues that require human review for every flagged event create bottlenecks that slow response and miss time-sensitive patterns.
The 3forge Approach
Statistical Anomaly Detection on Live Order Flow
3forge applies statistical baseline models to live order flow, flagging deviations in order size, timing, cancellation rate, and cross-asset correlation in real time. AMIScript lets compliance teams encode firm-specific detection rules that run continuously, not just at close.
Key Capabilities
What You Can Build with 3forge
Statistical Baseline Models
Build rolling baseline models for order volume, size distribution, cancellation rate, and timing, with automatic intraday recalibration.
Real-Time Alert Scoring
Score each order event against its statistical baseline continuously, routing high-confidence anomalies to compliance workflows immediately.
Cross-Asset Pattern Detection
Detect anomalies that span asset classes, including coordinated order patterns that would be invisible in single-asset monitoring.
Firm-Specific Rule Engine
Encode compliance-approved detection rules in AMIScript, running them as first-class real-time models alongside statistical baselines.
Alert Workflow Integration
Route anomaly alerts directly to case management systems with full order context attached, eliminating manual alert triage steps.
Regulatory Evidence Store
Retain the complete order sequence, baseline state, and detection logic for every triggered alert in a queryable historical store.
Get started
Ready to see it live?
Book a 30-minute demo with a 3forge solutions engineer and see real-time trade anomaly detection built on real data.