Identify connected structures
Identify multi-account trading groups by examining directed relationships, repeated counterparties, reciprocal flows, and transaction timing together.
GammaRay
Technology
Structure-discovery engine for analyzing complex networks and the relationships within them.
Why structure
discovery?
At the micro level, analysis examines individual accounts and the accounts around them. At the macro level, the network brings relationships, behaviors, and interactions together into a holistic view of market activity.
GammaRay discovers structure within the network. It brings connected accounts, trading rings, and previously unseen patterns into view.
From astrophysics
to market analysis
Our team developed GammaRay as a structure-discovery engine and first applied it to dark-matter halo detection in astrophysics.
Financial markets presented a related problem: finding meaningful structure within complex data. GammaRay applies that approach to accounts, transactions, and trading relationships.
Read about the scientific foundationWhat the engine can do
Connect activity across markets
Trace recurring accounts across groups, trading pairs, venues, and time periods. See how individual groups connect to a wider pattern of activity.
Combine different forms of evidence
Analyze behavior, timing, transaction structure, and account networks together. GammaRay combines learned patterns with vetted behavioral rules and cross-market intelligence.
What the
analysis produces
Account groups and connections
Identified groups, directed trading relationships, and accounts that recur across cases.
Supporting transactions
The records behind each finding, including dates, venues, trading pairs, transaction directions, and trading value.
Case-level findings
Detection confidence, participant roles, and market context, organized into case material for review.
Analysis uses public transaction data or customer-supplied records. We agree the markets, fields, and observation period before work begins, and document coverage and data gaps with the findings.
Get in touchWhere the
engine applies
GammaRay discovers structures within complex networks, with applications in financial markets and astrophysics.
Under our parent company, Arshan Group, our team is exploring selected applications, focusing on fields with a clear question and suitable data.
Commercial applicationFinancial markets
Applied to account and transaction networks to identify coordinated trading activity. Wash-trading detection is our current market application.
Explore market analysis
Research applicationAstrophysics
First applied to dark-matter halo detection in astrophysics, identifying meaningful structure within complex scientific data.
Explore the researchDiscuss your application
FAQ
Is GammaRay an AI model or a rules-based system?
GammaRay is a structure-discovery AI engine. Its market analysis combines learned patterns with vetted behavioral rules and cross-market intelligence.
How does astrophysics relate to market analysis?
Both involve finding structure through relationships among observations. GammaRay was first applied to dark-matter halo detection, then to trading networks. Each application is evaluated on its own data.
What data do you need?
Market analysis uses trade or transaction records, account identifiers, timestamps, venues, trading pairs, and trading values. We review your available records and agree the required fields and coverage before analysis begins.
How is GammaRay used for wash-trading analysis?
GammaRay identifies connected account groups and trading patterns. Our wash-trading analysis links those findings to supporting transactions, participant roles, and market context.
How do we see the technology in use?
Contact our team to discuss a demonstration, your data, and the application you have in mind.