System and Method for Identifying Unusual Trading Activity in a Stock Market

MIMOS
Socio-Economics Driver
Business & Financial Services
Science & Technology Driver
Augmented Analytics & Data Discovery
Technology Readiness Level
4
Intellectual Property
PI 2020006755

Combines real-time market data, stock filtering and news analysis to identify unusual trading behaviour, providing a broader and potentially earlier detection capability than relying solely on price movements.

Unusual or potentially syndicate-related market activity can be difficult to identify early because price movements, company characteristics and relevant news information need to be assessed together across rapidly changing market conditions.

Provides an automated market-monitoring and analytics system that tracks real-time prices, filters stocks based on market capitalisation, extracts relevant news and applies natural-language analysis to identify unusual or potentially syndicate-related trading activity.

Combines real-time stock-price monitoring, market-capitalisation filtering, automated news extraction and natural-language analysis to identify potentially unusual or syndicate-related trading activity from multiple information sources.

Project

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