LooksRare Wash Trading and Airdrop: An Explainer

LooksRare launched as an Ethereum NFT marketplace that paid users in its LOOKS token for trading activity. In early 2022 it reported trading volume that rose quickly and, at one point, appeared to exceed larger established venues. Shortly afterwards, data analysts began to question how much of that activity came from genuine buyers and sellers.

In April 2022, a report based on data from an NFT analytics firm estimated that about 95% of the transactions on LooksRare were wash trades. Later analyses in 2023 compared LooksRare with other marketplaces that also ran token rewards and found similar patterns, with the ratio of suspected wash volume to total volume far above what was seen on platforms without such incentives.

The story matters because it shows how reported volume can be inflated when a platform pays for activity. Volume is one of the most visible signals people use to judge whether a marketplace is popular, so a misleading figure can influence which collections are priced, which platforms get users, and how the token is valued. The episode became a common reference point in discussions about NFT market data.

Wash trading is a form of market manipulation in which one party, or a group acting together, buys and sells the same asset to create activity that does not reflect real demand. In traditional markets it is widely prohibited. In NFTs, it can be harder to police because transactions are pseudonymous and the rules differ by jurisdiction.

The basic mechanics are simple. A trader controls two wallets. One lists an NFT at a set price, and the other buys it. The NFT goes back and forth, and each sale appears on-chain as a completed trade. The trader may pay marketplace fees and gas, but if the marketplace rewards volume, the rewards can cover those costs and then some.

Why it matters to ordinary users is that wash trades distort prices. A collection can appear to have a high floor or frequent sales when most of the activity is between related accounts. Buyers who rely on that signal may overpay, and sellers may misjudge what their assets are worth. Wash trading can also make a marketplace look healthier than it is, which can attract more genuine users who then find thin liquidity.

LooksRare's model rewarded traders with LOOKS tokens in proportion to the fees they generated and the volume they traded. Such rewards can help a new platform attract liquidity, because early users have a reason to list and bid. The design also created a clear incentive to generate as much volume as possible, regardless of whether the trades had any real purpose.

When the rewards are large compared with the cost of trading, self-trading becomes profitable. A user can move an NFT between accounts, pay a small fee, and receive token rewards that exceed that fee. The more volume that is counted, the more tokens are earned. This is why analysts often describe reward-driven volume as a measure of incentives rather than demand.

The pattern is not unique to LooksRare. Other marketplaces that paid trading rewards during the same period also showed high rates of suspected wash activity. Some later programs introduced changes such as different reward formulas, anti-wash checks or limits on how rewards accrue, but the broader lesson is that any reward tied directly to volume invites manipulation unless it is designed with safeguards.

An airdrop is a distribution of tokens to users, usually for free, to reward past activity or to build a community. LooksRare's airdrop was linked to its trading and creator community. Public listings describe a large allocation of LOOKS tokens reserved for the NFT community, with a stated share of total supply. These figures appear in aggregator listings and should be checked against the project's own announcements, since listings can be out of date or inaccurate.

In general, airdrop eligibility is based on snapshots of on-chain activity taken at a specific time. Users who traded more, or who held certain assets, may receive larger allocations. This creates the same incentive problem described earlier: if eligibility depends on volume, traders have a reason to inflate that volume before the snapshot date.

An airdrop does not by itself prove wrongdoing. Many projects use airdrops to reward real users. The question for readers is whether the eligibility rules were designed to reward genuine participation, and whether the resulting activity continued once the rewards ended. In the LooksRare case, observers pointed to a sharp change in measured volume after incentives were reduced, which supported the view that much of the earlier activity was driven by rewards.

You do not need specialist tools to get a rough sense of whether a marketplace's volume looks genuine. The following steps are general and can be applied to any NFT platform.

1. Look at the buyers and sellers. If the same few wallets appear as both buyer and seller in many trades, that is a warning sign.
2. Check whether trades happen at odd prices, such as repeated sales at identical amounts with no change in the asset's market context.
3. Compare the number of unique traders with the number of trades. A high trade count with few unique wallets suggests repeated activity between related accounts.
4. Check whether volume drops sharply when rewards end. Organic volume usually declines more gradually.
5. Compare the platform with others for the same collection. Large gaps in reported volume for the same assets are worth investigating.
6. Read the reward rules. If trading rewards are tied directly to volume and fees, treat headline volume with extra caution.

No single check is conclusive. Use several together, and remember that blockchain explorers and analytics tools may label or count transactions differently.

Different analyses of the same platform can reach very different conclusions, and that is often because of method rather than error. Some sources count all transfers, while others filter out trades between wallets that appear linked. Some use a fixed time window, and some look at the full history. Definitions of wash trading also vary, which makes direct comparisons tricky.

In practice, a few habits help. First, look for consistency across independent sources rather than trusting one headline number. Second, read the methodology if it is published, and note whether the source discloses its assumptions. Third, be cautious about figures that come from a platform's own marketing, because platforms have an interest in showing high activity.

Also check the date. Volume figures from 2022 describe a different market from today's. Reports on LooksRare published in 2022 and 2023 describe a period of heavy reward incentives, and they should be read as historical evidence rather than current measurements of the platform.

Where things stand today depends on what you check, and it can change. Token prices, trading volume and reward rates are among the most volatile figures in crypto, so this guide does not state current values. To see the latest, check a reputable market data tracker for the LOOKS token price and volume, and compare that with the project's own announcements about reward programs.

Readers should also check whether the marketplace still runs trading rewards, what its current fee structure is, and whether any changes to its token economics have been announced. Official documentation and community channels run by the project are the primary sources for these details, though you should verify any link you are given by checking it independently.

If you already hold LOOKS tokens or had activity on the platform, keep your own records of transactions and check the tax rules where you live. Tax treatment of tokens and airdrops varies widely, and a qualified adviser can help with specific questions.

The LooksRare episode led many marketplaces and researchers to focus more on anti-wash measures. Common approaches include excluding trades between linked wallets from reward calculations, requiring a minimum holding period before rewards vest, capping rewards per user, and rewarding activities such as listing and holding rather than raw volume. None of these is perfect, but they reduce the payoff from self-trading.

Other platforms have taken different paths. Some marketplaces emphasize fixed fee structures and no token rewards. Others add on-chain royalty support or pool-based trading designs that change how volume is generated. Sudoswap V2, for example, supports on-chain royalties and ERC-1155 tokens, which changes the economics for creators compared with earlier designs.

For readers, the practical point is that marketplace design shapes the signals you see. When comparing platforms, ask how each one earns revenue, whether it pays users for activity, and whether it publishes clear rules about how volume is counted.

Whatever platform you use, a few defensive habits reduce risk. Confirm the contract address of any collection you intend to buy through the official listing rather than a link in a message. Be careful with unsolicited offers, direct messages asking you to connect your wallet, and pages that ask you to approve unlimited token spending.

Review each transaction before signing. Wallet interfaces show the assets and approvals involved, and an approval can give a contract ongoing access to tokens. Revoke approvals you no longer need using a reputable approval-management tool. Store your seed phrase offline and never enter it into a website or give it to anyone who asks.

Finally, treat reported volume and floor prices as one input among many. Check the collection's history, the number of unique holders, and whether the price you are paying is supported by sales between unrelated parties. NFT trading is speculative, and prices can fall quickly. Only spend what you can afford to lose, follow the rules in your jurisdiction, and remember that gambling-style features may carry 18+ requirements in some places.