Insider Trading

stock-exchange-1

Client

One of the largest stock exchange

Our client is one of the largest stock exchanges in the world by market capitalization, with more than 5,500 publicly listed companies.

Solution

Detecting price change model

Datametica built a model based on big data technologies to detect price changes outside acceptable boundaries.

 

Phase 1

Detecting frauds

This model detects and investigates known fraud types by comparing real-time news of announcements and social messaging feeds and then uses an artificial intelligence approach to detect possible fraud by detecting an abnormal profit scenario.

 

Phase 2

Increasing accuracy

This model was further trained with the input of anomalous activities for greater accuracy and in order to separate the suspicious activities from typical legitimate activities.

 

Phase 3

Predictive Modelling

The resulting system is an easy-to-use and editable rules engine that can be used by business users to design, build and test rules that can scale to any size and volume. Users with the appropriate authorizations may refine or create rules and parameters at any time as new threats emerge, new types of frauds occur, or when any business change dictates.

Benefits

others
Combat fraud

Combats the full spectrum of insider trading fraud

 

 

datamodeling
Efficient investigation

Improved efficiency of investigation through faster results

 

 

operational
Alert based system

 

 

costsavings
Paths identification

Identification of undiscovered paths of connection

 

 

customer
Reducing recources

Substantial reduction in human resources effort

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