Blockchain analytics firm Bitquery has identified approximately $1.4 billion in suspected wash-trading activity across 438 liquidity pools on Raydium, raising questions about the reliability of reported trading volumes and liquidity figures across Solana’s decentralized finance ecosystem.
The investigation, published on October 21, 2026, traces the activity to a network of connected wallets operating automated trading strategies involving imitation versions of established cryptocurrencies, including Monero (XMR), Litecoin (LTC), XRP and Lisk (LSK).
According to Bitquery’s original on-chain investigation, one Solana wallet generated roughly 22.7% of the $6.17 billion recorded in Raydium’s concentrated liquidity market maker (CLMM) pools between September 21 and October 20.
The reported $1.4 billion represents cumulative trading volume generated by repeatedly circulating the same capital, not stolen assets or investor losses. Bitquery has not identified the operator behind the wallets, and the observed trading patterns do not independently establish criminal misconduct.
One Wallet Generated Nearly 23% of Raydium CLMM Trading Volume
The central wallet, identified as 8RvqEo9pqTmzhPbaEcnENY9WXJdRqHFWQVFqKA7QCCs5, executed 108,871 swaps across 438 Raydium CLMM pools during the period examined.
Bitquery identified 22,685 completed round trips, with the wallet frequently exchanging approximately 11,000 USDC for imitation tokens before reversing the transaction seconds later.
One example involved a pool containing an unofficial LSK token. On October 20, the wallet exchanged 11,102 USDC for approximately 19,156 LSK tokens. Just 22 seconds later, it sold the tokens back for 11,100.87 USDC.
The transaction generated approximately $22,200 in recorded trading volume while costing just $1.13 in trading losses, excluding two small Solana network fees.
Repeated across hundreds of pools, this strategy allowed a relatively small amount of working capital to generate extraordinary turnover.
Bitquery estimated that the operation used approximately 12,000 USDC and 1.3 SOL in working capital. The wallet generated an average of roughly $35 million in daily trading volume through repeated transactions.
On the day preceding publication, the address ranked seventh among Solana’s largest decentralized-exchange traders by dollar volume, recording approximately $34.2 million across 2,952 swaps.
Importantly, the 22.7% figure applies specifically to Raydium’s CLMM program, not to all trading on Raydium or the entire Solana blockchain.
Fake Token Pools Displayed Billions in Liquidity Against Minimal USDC Reserves
The investigation uncovered an additional discrepancy between the liquidity displayed on cryptocurrency tracking platforms and the amount of independently issued stablecoin assets actually held inside certain pools.
One Raydium pool involving an imitation LSK token displayed approximately $579.3 million in liquidity on DEXScreener, despite holding just $19.27 in USDC and nearly one billion unofficial LSK tokens.
Across ten examined pools, DEXScreener displayed a combined $5.93 billion in liquidity. Their actual USDC balances totaled approximately $10,238.
The discrepancy arose because the displayed calculations incorporated large quantities of imitation tokens valued at prices established within their own pools. Those valuations did not mean equivalent amounts of outside capital were available to redeem the tokens.
The investigation also found that some imitation assets closely resembled legitimate cryptocurrencies in ticker and price. Others displayed substantial differences from their genuine counterparts.
Among 175 imitation tokens whose tickers matched assets traded on Binance, only 20 were priced within 5% of the corresponding genuine asset.
The problem extends beyond potentially misleading market capitalization figures. A trader relying on displayed liquidity could significantly overestimate the amount of capital available to support a transaction.
Linked Token Factories and Helper Wallets Point to Coordinated Activity
Bitquery identified additional wallets associated with token creation, transaction funding and repetitive trading activity.
One token-factory wallet had created 93 assets since late September, while 31 separate metadata-authority wallets appeared across a sample of approximately 1,000 tokens.
A shared funding address supplied SOL for network fees to multiple trading and token-management wallets, suggesting operational connections between different parts of the activity.
Researchers also identified 12 helper wallets responsible for approximately 1.25 million swaps and $8.8 million in additional trading volume during the period studied.
Many of these transactions were worth less than one dollar, creating additional trading activity and apparent participation without necessarily representing meaningful independent demand.
Bitquery traced related liquidity pools back to March 2026 and identified earlier trading wallets operating from June, suggesting the activity developed over several months rather than emerging immediately before publication.
The findings follow earlier investigations into Solana trading bots, which found that a relatively small share of automated wallets generated most decentralized-exchange swaps, while hundreds of thousands of liquidity pools experienced rapid withdrawals.
Nevertheless, the wallet connections remain analytical findings based on blockchain records. Neither the individuals controlling the operation nor their precise motivations have been established.
Why $1.4 Billion in Trading Volume Does Not Mean $1.4 Billion in Liquidity
The most revealing part of this investigation is not necessarily the size of the trading volume. It is how little capital was apparently required to produce it.
Investors often interpret rising decentralized-exchange volume as evidence of growing demand, deeper liquidity and greater market adoption. Those assumptions become unreliable when the same funds repeatedly move through transactions that leave the trader’s overall position almost unchanged.
A wallet recycling $11,000 thousands of times can produce a trading history that resembles substantial institutional activity. Yet the figures provide little evidence of independent buyers, meaningful price discovery or durable capital entering the market.
That distinction also matters when evaluating decentralized-exchange valuations and ecosystem growth. Reported trading volume frequently influences perceptions of competitive positioning, potential fee generation and network adoption.
If a meaningful portion of turnover reflects circular trading, comparisons between protocols can become distorted.
Similar questions have emerged elsewhere. Dave Finances previously examined a Papertrade wallet generating $10.1 billion in notional trading volume, illustrating how concentrated automated activity and economic incentives can complicate the interpretation of exchange statistics.
However, repetitive transactions should not automatically be classified as manipulation. Legitimate arbitrage and market-making strategies can involve frequent reversals, sometimes producing unusually concentrated trading patterns.
As an earlier investigation into repeating cryptocurrency trades demonstrated, transaction patterns alone cannot establish intent or determine whether trading violates market rules.
What makes Bitquery’s latest findings particularly concerning is the combination of repeated round trips, imitation assets, interconnected funding addresses and liquidity figures that appear disconnected from available stablecoin reserves.
What the Findings Mean for Solana Traders and Raydium
For retail investors, the immediate concern is the difference between a token’s quoted market value and the amount they could realistically receive when selling it.
A pool displaying hundreds of millions of dollars in liquidity might appear capable of absorbing large transactions. But if the valuation depends primarily on enormous quantities of self-issued tokens, a relatively small external sell order could encounter severe price impact.
This makes independently backed reserve balances, liquidity concentration and actual executable trading depth more useful than headline turnover alone.
The distinction is particularly important for newly launched tokens, where an apparently active market may be dominated by only a handful of related wallets.
As Dave Finances previously explored in its examination of memecoin trading volume and executable liquidity, substantial turnover does not necessarily guarantee sufficient market depth for investors seeking to exit positions.
For Raydium and other decentralized exchanges, the findings highlight a difficult trade-off. Permissionless trading infrastructure allows new markets to emerge without centralized listing approval, but it also permits participants to create assets and trading patterns that conventional financial venues may subject to additional surveillance.
The opportunity lies in improving how activity is measured rather than simply restricting automated trading.
Analytics providers could place greater emphasis on independently funded wallets, genuine quote-asset reserves, circular trading adjustments and the actual price impact of standardized transactions.
For Raydium, clearer distinctions between CLMM turnover and economically independent trading activity could help investors better interpret protocol statistics without suggesting that all automated activity is illegitimate.
The next questions concern whether the identified wallets continue operating, whether token-tracking platforms adjust their displayed liquidity calculations, and whether additional analysis can establish who controls the cluster.
For now, Bitquery’s findings reveal a structural weakness in how cryptocurrency market activity is presented. A blockchain can record billions of dollars in transactions while the underlying amount of independent capital remains dramatically smaller.
For investors, that makes the quality of liquidity and the identity of market participants at least as important as the volume displayed on a trading screen.
Johan Shamshad is a financial markets writer at Dave Finances covering cryptocurrencies, trading platforms, brokers, fintech, financial regulation, and developments across global markets. He previously worked at Gulf News, adding newsroom experience to his coverage of fast-moving financial and digital-asset markets.
His work focuses on identifying market-moving events, company developments, regulatory changes, product launches, and shifts in trading and financial infrastructure.
Johan contributes news and analysis designed to help readers understand not only what happened, but why a development matters and how it may affect the wider financial landscape. You can reach out to him via his social media accounts:
Linkedin: https://www.linkedin.com/in/johan-shamshad-742851262/
X: https://x.com/Yasmine_FX
Investing: https://www.investing.com/members/contributors/279781574