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
Market manipulation intelligence
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
Gamma Scan looks beneath reported volume to find the account structures, repetition, timing, and trading loops that create misleading market activity.
Product
Use it before investing, listing, promoting, monitoring, defending, or investigating a market where false liquidity can change the decision.
Review a token, pair, pool, venue slice, or campaign window for suspicious trading behavior.
Turn complex trading structures into a concise review package for decision makers.
Explain what was found, why it matters, and what action or deeper review makes sense next.
Evidence, not alert noise
Each packet can combine account maps, timelines, transaction rows, suspicious-volume estimates, market context, caveats, and recommended next steps.
Method
The work is technical. The output should not be. Gamma Scan turns noisy trade data into a structured market-integrity read.
Normalize transaction, account, venue, and timing data into an analyzable market view.
Build interaction structures across accounts, counterparties, direction, repetition, and concentration.
Surface suspicious structures, compact trading rings, abnormal repetition, and synthetic volume candidates.
Estimate suspicious-volume exposure, concentration, repetition, and market-level impact.
Convert complex patterns into evidence packets, executive summaries, and review queues.
Explain findings, caveats, data limits, and practical next steps for decision teams.
Who it helps
Market Gamma Ray is built for decision points where false liquidity, synthetic activity, and coordinated trading can distort judgment.
Avoid underwriting markets whose apparent liquidity may be manufactured.
Understand whether market activity reflects real demand or artificial churn.
Screen market integrity before listing, delisting, or promoting a token.
Use internal data for stronger account-level surveillance and evidence.
Prioritize human review using transaction-level market intelligence.
Add market-structure intelligence to diligence and forensic engagements.
Research foundation
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
Tell us the token, pair, venue, campaign window, or dataset. We will scope a focused scan and define the useful output.