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— CH. 1 · INTRODUCTION —

Wash trade

~4 min read · Ch. 1 of 4
4 sections
  • Wash trading is a form of market manipulation in which someone simultaneously sells and buys the same financial instrument, creating the illusion of active trading where none truly exists. No real money changes hands in any meaningful sense. No market position shifts. Yet to any outside observer, the books look busy.

    The practice is old enough that the United States moved to outlaw it in 1936, through a law called the Commodity Exchange Act. And yet wash trading did not disappear. It migrated, adapted, and eventually found a new home in the least regulated corners of modern finance. In NFT markets alone, from the very start of that market through January 2023, wash trading volumes reached approximately $26.88 billion, dwarfing the $10.46 billion in legitimate non-wash trades during the same period.

    The questions worth asking are not just what wash trading is, but who does it, why they do it, and why the tools built to stop it keep running into the same blind spots.

  • The most straightforward motivation is the appearance of demand. A thinly traded asset that logs heavy volume looks attractive to outside buyers who trust that activity signals interest. Artificially inflating volume costs the manipulator almost nothing if they control both sides of the trade.

    Fabricating a price history is a related but distinct goal. In illiquid assets, where few real buyers exist to set fair prices, a series of self-executed trades at escalating prices can make a stagnant asset look like it is appreciating fast. That paper history can then be used to justify a higher asking price to a genuine buyer.

    The Libor scandal illustrated a less obvious use: wash trades as a covert payment mechanism. Some participants used fabricated trades to route commission fees to brokers as compensation for services that could not be openly paid for. The trade itself was the invoice, disguised as market activity.

    Trading platforms have their own version of the incentive. High volume figures attract customers who mistake activity for trustworthiness. A platform willing to forge entries in its own trading history database can manufacture the appearance of a thriving marketplace, drawing in users who would otherwise go elsewhere.

  • Self-trading is the most direct form: placing a bid and an ask on the same instrument, then filling one with the other. It is particularly effective in markets with low liquidity, where the manipulator's own orders may represent a large share of visible activity.

    NFT markets have proven especially vulnerable. A study by Advait Jayant found that over 70 percent of transaction volumes in NFT markets were attributable to wash trading. The same research found that wash trading had a short-term positive effect on genuine non-wash trading activity on the following day, but that the influence turned negative over longer periods.

    Multiple accounts are another standard tool. By spreading trades across several wallets or brokerage accounts controlled by a single entity, the manipulator obscures the fact that no real counterparty exists. Each account looks like an independent market participant.

    Automated trading algorithms have made large-scale wash trading faster and easier to execute. An algorithm can cycle through hundreds of trades in seconds, blending wash activity with legitimate market-making strategies to make the manipulation harder to isolate. Platforms willing to participate directly can go further still, forging entries in their own trading records.

  • Most jurisdictions have deemed wash trading illegal. The United States acted early: the Commodity Exchange Act of 1936 made wash trading a federal offense in commodity markets.

    Regulated stock exchanges have added technical safeguards to back up that legal prohibition. The Intercontinental Exchange, known as ICE, implemented a system called Self-Trade Prevention Functionality, or STPF, which automatically blocks orders from the same entity from trading against each other. Similar protective layers exist across most regulated venues.

    The problem is that enforcement depends on regulation, and regulation depends on jurisdiction. In unregulated emerging markets, including most of the current cryptocurrency space, wash trading remains common practice. No STPF requirement applies. No Commodity Exchange Act reaches across the border of a decentralized protocol.

    The $26.88 billion in NFT wash trading documented through January 2023 is a measure of what happens when a market grows fast enough to outpace the legal frameworks designed to police it.

Common questions

What is wash trading and why is it considered market manipulation?

Wash trading is when an entity simultaneously buys and sells the same financial instrument, creating a false impression of market activity without actually changing its position or taking on market risk. It is considered manipulation because it deceives other investors about the true level of demand for an asset.

When did the United States make wash trading illegal?

The United States enacted the Commodity Exchange Act in 1936 to prohibit wash trading in commodity markets. The law remains in force and is one of the earliest regulatory actions specifically targeting the practice.

How much wash trading has occurred in NFT markets?

From the inception of the NFT market through January 2023, wash trading volumes reached approximately $26.88 billion, compared to $10.46 billion in non-wash trades over the same period. A study by Advait Jayant found that over 70 percent of NFT transaction volumes were attributable to wash trading.

What is Self-Trade Prevention Functionality and which exchange uses it?

Self-Trade Prevention Functionality, or STPF, is a technical safeguard that automatically prevents orders from the same entity from trading against each other. The Intercontinental Exchange, known as ICE, has implemented it to comply with anti-wash-trading regulations.

Why do trading platforms engage in wash trading?

Platforms use wash trading to boost their reported volume figures and project an image of popularity, attracting customers who interpret high activity as a sign of trustworthiness. Some platforms go as far as forging entries directly in their trading history databases.

How was wash trading connected to the Libor scandal?

Some participants in the Libor scandal used wash trades to generate commission fees for brokers as compensation for services that could not be openly paid for. The fabricated trades functioned as a disguised payment mechanism.

All sources

8 references cited across the entry

  1. 1webWash TradingInvestopedia Staff — 18 November 2003
  2. 3journalCrypto Wash TradingLin William Cong et al. — December 2022
  3. 4arxivNFT Wash Trading: Quantifying suspicious behaviour in NFT marketsVictor von Wachter et al. — 2022-02-07