Market manipulation intelligence

Detect wash trading and synthetic market activity

Market Gamma Ray scans transaction-level market data to identify suspicious volume creation, coordinated-account behavior, and market-integrity risks before they distort investment, listing, or oversight decisions.

Built from hidden-structure detection research, including successful applications in black hole and dark matter identification. Applied here to markets.

What we expose

Surface volume can lie. Transaction behavior does not.

Gamma Scan looks beneath reported volume to find the account structures, repetition, timing, and trading loops that create misleading market activity.

Wash tradingRepeated trading patterns that can manufacture activity.
Synthetic volumeReported market activity that may not reflect organic participation.
Evidence packetsClear market briefs with account maps, timelines, and decision context.

Product

Gamma Scan gives decision teams a fast, defensible market read.

Use it before investing, listing, promoting, monitoring, defending, or investigating a market where false liquidity can change the decision.

01

Focused scan

Review a token, pair, pool, venue slice, or campaign window for suspicious trading behavior.

  • Suspicious volume estimate
  • Coordinated account patterns
  • Executive market brief
02

Evidence packet

Turn complex trading structures into a concise review package for decision makers.

  • Account interaction maps
  • Transaction timeline
  • Market context and caveats
03

Private briefing

Explain what was found, why it matters, and what action or deeper review makes sense next.

  • Decision summary
  • Risk interpretation
  • Optional dashboard view

Evidence, not alert noise

Turn suspicious trading into decision-ready intelligence.

Each packet can combine account maps, timelines, transaction rows, suspicious-volume estimates, market context, caveats, and recommended next steps.

Market Scan Output Evidence Packet
Detected patternWash loop
Market effectVolume lift
AccountsClustered
OutputBriefing-ready

Method

A clear path from raw transactions to market intelligence.

The work is technical. The output should not be. Gamma Scan turns noisy trade data into a structured market-integrity read.

01

Reconstruct

Normalize transaction, account, venue, and timing data into an analyzable market view.

02

Map

Build interaction structures across accounts, counterparties, direction, repetition, and concentration.

03

Detect

Surface suspicious structures, compact trading rings, abnormal repetition, and synthetic volume candidates.

04

Quantify

Estimate suspicious-volume exposure, concentration, repetition, and market-level impact.

05

Package

Convert complex patterns into evidence packets, executive summaries, and review queues.

06

Brief

Explain findings, caveats, data limits, and practical next steps for decision teams.

Who it helps

For teams making high-stakes market decisions.

Market Gamma Ray is built for decision points where false liquidity, synthetic activity, and coordinated trading can distort judgment.

Investors and funds

Avoid underwriting markets whose apparent liquidity may be manufactured.

Token issuers

Understand whether market activity reflects real demand or artificial churn.

Listing teams

Screen market integrity before listing, delisting, or promoting a token.

Venues and exchanges

Use internal data for stronger account-level surveillance and evidence.

Regulators

Prioritize human review using transaction-level market intelligence.

Advisory firms

Add market-structure intelligence to diligence and forensic engagements.

Research foundation

Deep signal detection, focused on market integrity.

Market Gamma Ray is built from a detection discipline used to uncover hidden structure in noisy data, including black hole and dark matter identification. The commercial focus is market integrity: suspicious volume, coordinated behavior, and actionable evidence.

Start

Request a scoped Gamma Scan.

Tell us the token, pair, venue, campaign window, or dataset. We will scope a focused scan and define the useful output.