THE ALERT IS ONLY PART OF THE STORY.
MNC Data Solutions connects economic outcomes, trading behavior, external events, entity relationships, and data assurance to help institutions understand the broader intelligence surrounding surveillance activity.
A surveillance alert may identify an event. Understanding that event can require context from the entity’s history, recurring behavior, economic outcomes, market movement, public events, related activity, and the quality of the underlying data. Often the most important question is the simplest: who consistently benefits — and what surrounds that profitability?
MNC Data Solutions connects that context.
MNC Data Solutions brings multiple analytical perspectives together to help institutions understand the broader context surrounding activity.
Economic outcomes can provide important analytical context when viewed alongside trading behavior, surveillance activity, historical patterns, and related evidence.
Profitability alone is not a conclusion about conduct.
EXPLORE THE P&L ASSESSMENT ENGINE →Longitudinal behavioral analysis — frequency, concentration, participation, and exposure — measured against the entity’s own history, including cross-product positioning across equities and their derivatives. AI models learn each entity’s signature and flag departures and emerging trends.
A departure is context, not a conclusion.
EXPLORE TRADING BEHAVIOR SIGNATURE →Contextual analysis built on temporal association — what occurred before, after, and alongside the activity. Never causation.
MNC leverages AI to identify unusual increases in volume or liquidity, and substantial price swings — up or down — against prevailing market conditions.
Concentrated entities that profited by buying or selling just before — or shortly after — the swing are identified and profiled.
An AI-driven sweep of public sources — news, social media posts, and prediction markets — identifies any public event or price-sensitive information around the window.
AI-assisted connection analysis surfaces entity relationships, recurring overlap, common securities, shared markets, connected activity, and outcome networks — across markets. Select a node to isolate its analytical relationships.
Complete reconciliation of your internal OMS and trading data, matched against what your surveillance system actually processed — so all trading activity is captured, and the gaps are identified before potential manipulation can slip through unmonitored.