Polymarket Under the Polygraph

Market Abuse in the Age of Onchain Prediction Markets

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Polymarket Under the Polygraph

Market Abuse in the Age of Onchain Prediction Markets
Solidus Labs Research
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What is wash trading, and why does it happen in crypto?

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Polymarket Under the Polygraph

Onchain prediction markets hold significant promise as transparent, real-time platforms, yet the markets on which they operate today show clear signs of manipulation: some forms are familiar, while others are unique in their structure. This report exposes those invisible, extractive tactics, from cross-symbol wash trading to multichain insider trading, to help operators and regulators build the integrity infrastructure these markets require.

This report documents the mechanisms through which visibility gaps are exploited, utilizing data from our multidimensional trade surveillance platform, HALO.

  • Extreme Profit Concentration: Less than 1% of wallets are capturing nearly 50% of all profits, a signal of a flawed market structure rather than healthy stratification.
  • The Anatomy of Wash Trading: We analyzed 7.18 million executions in a single market, identifying $253 million in gross notional volume flagged as wash trading.
  • Novel Manipulation Typologies: The report details "cross-symbol wash trading" - a unique, riskless strategy specific to binary prediction markets that has no equivalent in traditional markets.
  • Forensic Case Studies: We reconstruct the full manipulation lifecycles of insider trading events, exposing how pseudonymous wallets leverage multi-chain bridges to obscure their identities and extract illicit profits.

Who This is For

This report is essential read for those directly responsible for the operational and regulatory integrity of prediction markets:

  • Prediction Market Operators: To identify unique manipulation tactics that exploit binary market structures.
  • Market Surveillance Managers: To understand why traditional, percentage-based threshold alerts fail in bounded-price environments and how to implement category-aware parameterization.
  • Regulators & Supervisors: To map the novel multi-chain lifecycles of illicit actors-including the use of intermediary hub addresses and bridge obfuscation-that bypass standard KYC/KYT monitoring.

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Trusted by compliance teams and regulators globally

Built for Data Complexity

Normalizes non-standard feeds and on/off-ramp data into one real-time schema, while crypto-native models cut through volatility to flag wash trades, spoofing, and insider flow, even amid extreme price swings or cross-venue price gaps.

Future-Proofed for Evolving Crypto-Specific Schemes

Monitors manipulation across both on- and offchain, from insider trading on DEXs, cross-venue schemes spanning spot/derivatives or CeFi/DeFi to native onchain threats throughout the asset life cycle.

Real-Time Intervention Before Risk Escalates

Real-time alerting surfaces risk instantly, enabling timely intervention in a global, 24/7 “always-on” market and instant settlement that legacy batch processing can’t offer

See Risk Across Trades, Transactions & KYC

Unifies trades, transactions, KYC, and behavioral signals in one view—uncovering risks siloed systems miss like account takeovers, new-account scams, and transactions that appear legitimate in isolation but raise suspicion when analyzed against broader trading behavior.

Crowd-Driven Crypto Sentiment Intelligence

Machine-learning sentiment analysis distills signals from messy, unstructured data across Reddit, X, Telegram, and news sources – flagging symbol-level sentiment shifts in real time.

Venue-Agnostic Data Architecture

Venue-agnostic approach to market data delivers high speed and scalability across all digital and traditional asset classes, with fallback mechanisms for uninterrupted surveillance even without full order-book depth.
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