Detail Page
The Challenge: In the 2026 trading environment, market manipulation (Spoofing, Layering, Front-running) is often conducted by AI bots. Human compliance teams, reviewing T+1 reports, are essentially “bringing a knife to a gunfight.” To protect against catastrophic fines and market instability, compliance must be Intra-day and Autonomous.
We utilize a “Shadow Agent” Architecture. For every trading algorithm running in production, a corresponding Compliance Agent runs in parallel in a low-latency C++ environment.
Ingests the L2 Order Book data and the trading bot’s internal state.
Uses a Variational Autoencoder (VAE) to establish a “Normal Trading Baseline.” It identifies deviations that look like “Wash Trading” or “Momentum Ignition” patterns.
If the VAE flags an anomaly, the Agentic Logic kicks in. It queries the Advanced RAGdatabase of current SEC and ESMA regulations to see if the pattern matches a “Prohibited Practice.
Unlike traditional monitoring, this system has Autonomous Authority. If the Compliance Agent determines with >98% confidence that a trade is manipulative, it triggers a Circuit Breaker through a dedicated API, immediately pausing the specific trading strategy and moving the firm’s position to Flat.
Prevents “Fat Finger” errors and “Runaway Bots” that could bankrupt a firm in minutes.
The firm can trade more complex strategies because they have a “Provably Compliant” infrastructure.
Replaces a 50-person manual trade review team with a 5-person “AI Oversight” team.