Asia-Pacific Crypto Enforcement Trends for 2023

APAC regulators have been intensifying their crypto enforcement. Learn more about the latest developments.

Asia-Pacific Crypto Enforcement Trends for 2023

APAC regulators have been intensifying their crypto enforcement. Learn more about the latest developments.
Solidus Labs Research
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What is wash trading, and why does it happen in crypto?

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Everything you need to know about crypto enforcement in Asia and the Pacific

2022 was a rocky year for cryptocurrency. Prices crashed, Terra collapsed, FTX went bankrupt, and – Solidus research now shows – regulators engaged in more crypto-related enforcement than in any other year in the industry’s history.

In this online report, we analyze the enforcement activities of the most prolific state and federal crypto regulators, gleaning insight into:

  • How their enforcement pace changed in 2022 compared to 2021
  • The types of organizations and violations they prioritized
  • What court cases and rule changes may expand or reduce their authority in 2023

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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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