Private Credit Liquidity Mismatch: Why Redemption Gates Are Now a Funding Signal

Quarterly redemption gates are not proof that private-credit funds are insolvent. They become a stronger signal when retail cash requests rise while bank credit-line growth slows around portfolios of long-dated loans.

Private credit has sold investors a useful idea: earn an illiquidity premium by lending directly to companies that cannot, or prefer not to, borrow in public markets. The catch is that the underlying loans may take years to repay while some of the newest investment vehicles offer individuals a periodic route to cash. That private credit liquidity mismatch is manageable when subscriptions are strong, bank credit lines are available and redemption requests remain ordinary. It becomes much more revealing when all three conditions begin to change at once.

The central point is not that a quarterly redemption cap proves a fund is insolvent. It usually does not. A cap is part of the product design and can protect remaining shareholders from forced sales. The stronger signal appears when redemption queues rise at the same time that banks slow lending to nonbank financial institutions, financing costs remain high and marks on private loans adjust only gradually. Then the gate stops being a footnote and becomes a window into the system’s funding mechanics.

That is the situation investors need to analyze now. The private-credit market has grown large enough to matter, retail-facing semi-liquid structures have become important enough to transmit sentiment, and banks remain connected through subscription lines, revolving facilities and other forms of upstream funding. A liquidity event can therefore travel in both directions: from end investors asking for cash and from lenders becoming less willing to finance the vehicles that hold the loans.

The signal is a two-sided squeeze, not a single redemption number

The most important distinction is between liquidity stress and credit insolvency. A private loan portfolio can continue to receive interest and principal while a fund lacks enough immediately available cash to satisfy every redemption request. Conversely, a fund can meet redemptions for a time even while the credit quality of its assets is deteriorating. The two risks interact, but they are not interchangeable.

Recent data make the funding side harder to ignore. Reuters Breakingviews reported on August 21, 2026 that bank loans to non-depository financial institutions grew only 3% in the first half of 2026 from a year earlier, down from roughly 9% growth a year before and the slowest pace in at least two years. Loans from the six largest US banks to the industry increased only 1.5% quarter over quarter. This is not a withdrawal of funding, but it is a meaningful loss of acceleration.

On the investor side, the Federal Reserve’s May 2026 Financial Stability Report noted increased redemption requests at several semi-liquid private-credit vehicles, with many requests capped by fund rules. The combination matters because retail cash demand and wholesale funding conditions press on the same liquid buffer from opposite sides.

The better mental model is a reservoir. Long-dated loans sit in the center. Investor subscriptions, loan repayments and bank facilities replenish cash. New investments, expenses and redemptions drain it. A quarterly gate restricts one outlet, but it does not refill the reservoir. If inflows slow while queued withdrawals accumulate, the manager must retain more cash, reduce originations, sell assets, borrow more or accept a longer redemption queue. Each choice changes returns or risk.

What the 5% gate actually does

Many nontraded business development companies and interval funds offer periodic repurchases rather than daily liquidity. A common structure allows a fund to repurchase up to 5% of outstanding shares in a quarter. When requests exceed that limit, investors receive only a pro rata portion of the cash they requested, and the remainder may have to be resubmitted in a future window.

This mechanism can be prudent. It prevents a manager from selling illiquid loans at distressed prices merely to satisfy the fastest investors. It also preserves equal treatment by rationing liquidity across requests. In that sense, a gate is analogous to a circuit breaker: it slows the process so that a temporary demand imbalance does not damage the portfolio.

But a gate also changes investor behavior. A shareholder who expects to be paid only partially may submit a larger request next quarter. Another investor may redeem early because waiting could mean standing behind a growing queue. That creates a first-mover incentive even when the portfolio is fundamentally sound. Once the queue becomes persistent, the stated quarterly liquidity no longer describes the investor’s practical time to cash.

The product documents are explicit about that distinction. A Goldman Sachs filing available through the SEC explains that semi-liquid structures commonly cap repurchases, can prorate requests and may terminate a repurchase program. The filing warns that invested capital should not be treated as immediately available. These are not hidden exceptions; they are core design features. The analytical mistake is to treat periodic repurchase windows as equivalent to daily liquidity.

The scale has become material

Private credit is no longer a niche allocation. The Federal Reserve estimates that private-credit funds managed about $1.4 trillion at the end of 2025. A separate Federal Reserve analysis published August 11, 2026 placed both private credit and the leveraged-loan market near $1.4 trillion and estimated that together they represented roughly 45% of lending to private nonfinancial corporations.

Retail-facing semi-liquid vehicles are only part of that universe, but they are large enough to influence funding behavior. The Fed’s May report estimated gross assets of $306 billion for perpetual nontraded BDCs and $119 billion for interval funds, with combined net assets of about $241 billion. That represented roughly one-fifth of private-credit net assets. The systemic footprint is therefore neither trivial nor dominant: large enough to transmit stress, but not equivalent to the entire market.

This distinction limits the temptation to make sensational claims. A redemption cap at one or even several retail vehicles does not mean the whole private-credit market is failing. Institutional drawdown funds, insurance accounts, separately managed accounts and other vehicles have different liabilities and longer lockups. Yet stress in the semi-liquid segment can still affect pricing, origination and confidence because it is the part of the market where changes in investor sentiment become visible fastest.

Bank funding is the upstream liquidity layer

The private-credit narrative often describes direct lenders as alternatives to banks. At the asset level, that is true: a BDC or private fund may make a loan that a bank would not hold on its balance sheet. At the funding level, however, the systems remain connected.

Private-credit vehicles use bank revolving facilities and other credit lines to bridge capital calls, finance loans and manage cash. According to a Federal Reserve note published August 7, 2026, BDC bank commitments exceeded $60 billion, about 90% of bank lending to those vehicles came through credit lines, and bank loans represented roughly 40% of average BDC debt, double their share a decade earlier.

That connection creates a second liquidity layer. When banks tighten standards or charge more, the direct lender may have less flexibility to fund new originations, support portfolio companies or bridge redemptions. A vehicle does not need to suffer a formal borrowing-base breach for the effect to matter. Higher spreads, reduced line growth and more conservative advance rates can all lower the amount of liquidity available at the margin.

The risk is therefore a feedback loop rather than a one-time shock. Slower bank funding can make managers retain more cash. More cash lowers the amount invested in higher-yielding loans, creating a performance drag. Weaker performance can encourage more redemptions. Higher redemption queues then make lenders and investors more cautious, reinforcing the original pressure.

A March case study shows how the mechanism works

The mechanics became visible in March 2026 when Ares Strategic Income Fund received redemption requests equal to 11.6% of outstanding shares but honored only the 5% permitted by its program. Reuters reported on March 24 that the fund fulfilled about $524.5 million of requests. Other large managers had also limited withdrawals under their stated rules.

The first lesson is arithmetic. If requests equal 11.6% and the fund repurchases 5%, investors collectively receive less than half the cash requested in that window. The unfilled portion does not necessarily disappear; it can return in the next period. If new requests arrive as well, the queue can persist even without an acceleration in outflows.

The second lesson is signaling. Investors cannot observe every private loan in real time, and valuations do not update continuously. Redemption data become one of the few frequent market signals. A high request rate may reflect portfolio concerns, asset-allocation changes, household cash needs or copycat behavior after headlines. It is not a clean measure of credit losses, but it reveals demand for liquidity.

The third lesson is that size changes manager choices. A diversified platform can use subscriptions, repayments, cash and credit lines to manage a temporary imbalance. But if redemptions remain above the cap for several quarters, maintaining the same origination pace becomes harder. The manager must decide whether to carry more cash, sell loans, syndicate exposure, borrow or slow new commitments.

Why valuation lag can hide the pressure

Public bonds and syndicated loans reprice continuously. Private loans are generally valued through models, comparable transactions, borrower information and periodic third-party processes. That can reduce noise, but it also makes reported net asset value slower to react.

The result is a timing problem. If market yields rise, a comparable public loan may fall immediately while a private loan’s mark adjusts over several reporting periods. If borrower performance weakens, amendments or payment-in-kind interest can postpone recognition of a problem. A stable net asset value can therefore coexist with rising liquidity pressure.

This does not mean private marks are fictional. It means investors should interpret them with their update frequency and assumptions in mind. The relevant question is not merely whether NAV declined last quarter. It is whether the portfolio’s expected cash flows, recovery assumptions and discount rates remain consistent with current financing conditions.

The same idea applies across markets. As discussed in our analysis of global bond yields and equity valuation risk, the cost of capital can reprice before accounting earnings or appraisals fully adjust. Private credit adds another delay because both the asset valuation and the liquidity promise are periodic rather than continuous.

The IMF stress test sets useful boundaries

The International Monetary Fund’s April 2026 Global Financial Stability Report modeled liquidity stress for retail-facing private-credit vehicles. Its analysis suggested that a 5% quarterly redemption cap could allow funds to meet a mild stress scenario for roughly nine to eleven quarters, while a moderate shock could shorten that window to around five to seven quarters, depending on vehicle type and assumptions.

Those estimates should not be read as countdown clocks. They are scenario results, not forecasts for any specific fund. Their value lies in showing that gates can extend the adjustment period substantially. A fund can avoid immediate forced selling while still experiencing a long erosion of liquidity.

That time can be beneficial if loans repay, investor confidence returns or new subscriptions resume. It can also make the eventual adjustment more difficult if weak assets remain marked optimistically, cash buffers shrink and the redemption queue compounds. The gate buys time; it does not decide whether the time will be used well.

The denominator effect can amplify withdrawals

Some institutional investors redeem from private assets even when they still like the strategy. If public equities or bonds fall faster than private marks, private credit becomes a larger share of the total portfolio. An allocator may then reduce the private position simply to restore target weights. This is the denominator effect.

Retail investors can behave similarly for different reasons. A household may need cash after losses elsewhere, higher expenses or a change in risk tolerance. Because private-credit vehicles typically offer only periodic liquidity, investors may submit requests proactively. The redemption data can therefore rise before reported credit losses do.

This is why a narrow focus on defaults misses the earliest signal. Defaults measure realized borrower distress. Redemption queues measure investors’ desired liquidity. Bank credit growth measures the willingness of wholesale lenders to provide flexibility. The interaction among all three offers a more complete view.

What managers can do—and what each option costs

Managers have several defenses, but none is free. The simplest is to hold more cash and short-term securities. That improves redemption capacity but dilutes the yield generated by long-dated loans. If the fund advertises a high distribution rate, a larger cash balance can make that distribution harder to earn organically.

A second option is to slow originations. This preserves liquidity, yet it may sacrifice attractive lending opportunities and reduce fee growth. It can also affect portfolio companies that expected follow-on financing.

A third option is to draw bank facilities. That can bridge a temporary mismatch, but it raises leverage and interest expense. It is least attractive precisely when banks are tightening terms or financing costs are elevated.

A fourth option is to sell or syndicate loans. This converts assets to cash, but secondary-market bids may be below carrying value, especially for weaker credits. Sales can crystallize losses and provide observable prices that influence marks across the remaining portfolio.

Finally, a manager can rely on the gate and let the queue roll forward. That protects the portfolio from fire sales but increases reputational pressure. Investors may interpret repeated prorating as evidence that the product offers less liquidity than expected. The manager is choosing between economic dilution, balance-sheet risk, realized losses and confidence.

Five metrics matter more than the headline distribution yield

Investors evaluating private-credit vehicles should begin with redemption requests as a percentage of outstanding shares, not just the amount paid. A 5% repurchase is routine when requests are 3%; it is rationing when requests are 12%. The difference reveals the size of the queue.

Second, track net subscriptions after distributions and repurchases. New capital can fund originations and redemptions, but dependence on continuous inflows can mask a structural mismatch. A vehicle that remains liquid only while fundraising grows is more vulnerable to a sentiment reversal.

Third, examine available liquidity relative to unfunded commitments and near-term debt maturities. Cash alone is incomplete; undrawn facilities matter, but so do their covenants, borrowing bases and renewal dates.

Fourth, watch non-accruals, payment-in-kind income and amendment activity together. PIK interest can preserve current cash while increasing the loan balance. It may be appropriate for a growing borrower, but a rising share can also signal that borrowers cannot service debt in cash.

Fifth, compare the pace of NAV changes with movements in public credit spreads and the fund’s own redemption data. Large gaps are not proof of misvaluation, but they deserve an explanation. The goal is to identify whether stability reflects resilient cash flows or simply slower marks.

Implications for banks, insurers and listed asset managers

The private credit liquidity mismatch is not confined to fund shareholders. Banks can face drawdowns on committed facilities just as they become more cautious about nonbank exposure. Insurers may hold private loans directly or allocate to affiliated managers. Listed alternative-asset managers earn fees tied to assets under management and fundraising momentum, making sustained outflows an earnings issue even when credit losses remain contained.

The transmission path differs from a traditional bank run. Retail investors usually cannot withdraw all funds on demand, and the vehicles do not finance themselves with overnight deposits. That reduces immediate run risk. But slower-moving pressure can still affect markets through lower origination, wider spreads, asset sales and reduced leverage.

The likely first effect is not a systemic collapse. It is a repricing of the illiquidity premium. Borrowers may pay more, lenders may demand tighter covenants, managers may hold more cash and investors may insist on greater compensation for limited liquidity. That repricing can be economically significant even if defaults remain manageable.

It also intersects with broader capital-allocation constraints. Our research on AI data-center power and capital returns showed how a nonfinancial bottleneck can decide which projects receive funding. Private-credit liquidity can play a similar role: when capital is scarce, lenders prioritize borrowers with clearer cash flows, stronger collateral and less refinancing dependence.

Three scenarios for the next twelve months

In a benign normalization, redemption requests decline, subscriptions stabilize and bank funding resumes moderate growth. Managers retain modest cash buffers, avoid forced sales and continue lending at attractive spreads. The 2026 gates then look like a temporary test of product mechanics rather than the start of a credit cycle.

In a prolonged squeeze, requests remain above quarterly caps while bank facilities become more expensive. Funds slow originations and hold more liquidity, reducing distributable income. Private-loan spreads widen and weaker borrowers face harder refinancings. Asset managers with the strongest balance sheets gain share, while smaller vehicles consolidate or reduce ambitions.

In a credit-led stress, borrower defaults rise at the same time that redemption queues persist. Marks fall, borrowing bases tighten and secondary sales reveal lower prices. In that case the liquidity mismatch amplifies credit losses instead of merely delaying them. The difference between the second and third scenarios is why investors must track credit quality and funding conditions separately.

For public-market context, US equity breadth and rate risk remain useful cross-checks. A broad risk-on market with stable credit spreads supports the benign case. Narrow equity leadership, wider lower-quality spreads and weakening bank credit growth would point toward the more adverse paths.

What would invalidate the bearish interpretation

A skeptical reading of the current signals should specify what evidence would reverse it. First, redemption requests should fall below repurchase capacity for several consecutive quarters, allowing queues to clear rather than roll. Second, net subscriptions should recover without unusually high distribution incentives. Third, bank commitments and utilization should stabilize on terms that do not materially raise fund leverage.

Fourth, portfolio cash income should cover distributions with limited reliance on payment-in-kind interest. Fifth, realized exits should confirm carrying values. If funds sell loans near marks and repayments remain strong, concerns about valuation lag become less important.

These conditions would show that the gates performed their intended role: protecting portfolios during a temporary liquidity imbalance. They would also demonstrate that the slowing of bank lending was a normalization from rapid growth rather than the beginning of a funding retrenchment.

What would confirm the warning

The warning would strengthen if redemption requests stay materially above caps, unfilled requests accumulate and managers increase borrowing or cash holdings at the expense of new investments. It would strengthen further if PIK income, non-accruals and amendments rise together while NAVs remain unusually stable.

The clearest confirmation would be a link between investor outflows and asset-level decisions: discounted loan sales, reduced originations, tighter borrower terms or facility drawdowns that increase leverage. At that point the liquidity mismatch would no longer be confined to fund documents. It would be affecting the price and supply of credit to the real economy.

The investment conclusion

Private credit’s growth has been built on a valid economic exchange: borrowers receive tailored capital, while investors accept less liquidity in return for higher income and structural protections. Problems arise when the liquidity promise becomes easier to market than the asset reality is to deliver.

Quarterly gates are not, by themselves, evidence of failure. They are designed to prevent failure caused by forced selling. But repeated gates, weaker bank-funding growth and slow-moving private marks form a coherent warning system. They show where pressure is accumulating before it appears in default rates.

Investors should therefore stop asking only whether a fund met its 5% repurchase limit. The better questions are how much was requested, how quickly the queue is clearing, where the replacement liquidity comes from and what the manager sacrifices to provide it. Those answers reveal whether the private credit liquidity mismatch is being managed, merely deferred or beginning to reshape the market’s cost of capital.

Learning Path

Start with Block2Learn’s guide to global bond yields and equity valuation risk to understand how higher discount rates transmit across assets. Then read our work on US stock-market breadth to connect credit conditions with public-market participation. Finally, review Learning at Block2Learn for the frameworks used to distinguish liquidity risk, solvency risk and market repricing.

This article is educational and does not constitute investment advice. Private-credit vehicles can involve substantial illiquidity, leverage, valuation uncertainty and loss of principal.

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OASIS

Investor and entrepreneur with a focus on jewelry, e-commerce, and blockchain technologies. Founder of Block2Learn, a platform dedicated to educating on crypto, NFTs, and decentralized finance. Passionate about empowering others through innovative investments in digital assets and traditional industries.

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Arbitrum Bridged WETH (Arbitrum One) (WETH) $ 2,265.06 3.52%
zcash
Zcash (ZEC) $ 798.66 2.50%
tether-gold
Tether Gold (XAUT) $ 4,626.04 0.36%
ether-fi-staked-btc
Ether.fi Staked BTC (EBTC) $ 76,722.00 4.00%
ai16z
ai16z (AI16Z) $ 0.000389 0.97%
ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.140538 0.46%
coredaoorg
Core (CORE) $ 0.026061 4.50%
helium
Helium (HNT) $ 0.232533 8.68%
frax
Legacy Frax Dollar (FRAX) $ 0.99069 0.17%
akash-network
Akash Network (AKT) $ 0.550783 1.06%
compound-governance-token
Compound (COMP) $ 19.52 0.60%
meow
MEOW (MEOW) $ 0.000007 5.87%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.009526 0.00%
ecash
eCash (XEC) $ 0.000007 2.57%
chiliz
Chiliz (CHZ) $ 0.014232 1.05%
wormhole
Wormhole (W) $ 0.009531 1.53%
amp-token
Amp (AMP) $ 0.000443 2.96%
ultima
Ultima (ULTIMA) $ 2,290.19 2.47%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.200489 3.96%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.014048 0.79%
resolv-usr
Resolv USR (USR) $ 0.118972 0.94%
pancakeswap-token
PancakeSwap (CAKE) $ 1.72 0.39%
pax-gold
PAX Gold (PAXG) $ 4,632.71 0.42%
gigachad-2
Gigachad (GIGA) $ 0.002776 5.15%
mina-protocol
Mina Protocol (MINA) $ 0.061779 0.12%
gnosis
Gnosis (GNO) $ 121.44 0.09%
pendle
Pendle (PENDLE) $ 1.73 0.28%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.080893 1.84%
echelon-prime
Echelon Prime (PRIME) $ 0.244893 4.14%
zksync
ZKsync (ZK) $ 0.008608 2.20%
paypal-usd
PayPal USD (PYUSD) $ 0.999936 0.00%
havven
Synthetix (SNX) $ 0.227094 0.52%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998201 0.01%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,503.04 1.99%
axelar
Axelar (AXL) $ 0.041225 1.16%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000257058 6.35%
snek
Snek (SNEK) $ 0.000413 2.16%
mog-coin
Mog Coin (MOG) $ 0.00000011932 1.54%
telcoin
Telcoin (TEL) $ 0.001837 1.71%
toshi
Toshi (TOSHI) $ 0.000131 1.04%
dydx
dYdX (ETHDYDX) $ 0.117994 1.41%
kava
Kava (KAVA) $ 0.045494 0.21%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000977 0.24%
notcoin
Notcoin (NOT) $ 0.000426 3.46%
chex-token
Chintai (CHEX) $ 0.00986 1.36%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000402 7.41%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.089702 0.55%
trust-wallet-token
Trust Wallet (TWT) $ 0.452206 2.73%
quantixai
Quantix Finance (QFI) $ 24.99 25.53%
grass
Grass (GRASS) $ 0.368858 11.32%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.111341 3.00%
terra-luna
Terra Luna Classic (LUNC) $ 0.000054 0.87%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.092948 3.23%
livepeer
Livepeer (LPT) $ 1.41 0.47%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 1.00 0.35%
creditcoin-2
Creditcoin (CTC) $ 0.088651 1.46%
theta-fuel
Theta Fuel (TFUEL) $ 0.009011 1.56%
oasis-network
Oasis (ROSE) $ 0.006066 2.47%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.020949 0.07%
kusama
Kusama (KSM) $ 3.58 2.63%
bio-protocol
Bio Protocol (BIO) $ 0.028463 2.36%
layerzero
LayerZero (ZRO) $ 1.15 2.00%
blur
Blur (BLUR) $ 0.016126 1.82%
dash
Dash (DASH) $ 38.89 2.10%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000424 1.25%
ordinals
ORDI (ORDI) $ 4.27 4.15%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.137195 0.95%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.11%
freysa-ai
Freysa AI (FAI) $ 0.002924 2.89%
arkham
Arkham (ARKM) $ 0.11409 3.36%
turbo
Turbo (TURBO) $ 0.001005 1.44%
popcat
Popcat (POPCAT) $ 0.057769 1.48%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.01 0.80%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001309 1.69%
nervos-network
Nervos Network (CKB) $ 0.001008 4.34%
astar
Astar (ASTR) $ 0.005568 1.11%
just
JUST (JST) $ 0.100572 0.83%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.75 3.55%
zilliqa
Zilliqa (ZIL) $ 0.002743 0.65%
verus-coin
Verus (VRSC) $ 0.237864 12.82%
melania-meme
Melania Meme (MELANIA) $ 0.113351 8.30%
holotoken
Holo (HOT) $ 0.000383 1.05%
ai-rig-complex
AI Rig Complex (ARC) $ 0.070473 2.78%
origintrail
OriginTrail (TRAC) $ 0.335095 5.31%
liquid-staked-ethereum
Liquid Staked ETH (LSETH) $ 2,406.26 2.78%
polygon-bridged-wbtc-polygon-pos
Polygon Bridged WBTC (Polygon POS) (WBTC) $ 76,130.00 3.08%
0x
0x Protocol (ZRX) $ 0.099521 2.78%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000037662 2.23%
ether-fi
Ether.fi (ETHFI) $ 0.571119 0.27%
safepal
SafePal (SFP) $ 0.263558 0.94%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005008 1.07%
golem
Golem (GLM) $ 0.112673 5.07%
basic-attention-token
Basic Attention (BAT) $ 0.067689 0.64%
swissborg
SwissBorg (BORG) $ 0.178291 1.82%
skale
SKALE (SKL) $ 0.003897 1.04%
wemix-token
WEMIX (WEMIX) $ 0.199056 1.09%
mocaverse
Moca Network (MOCA) $ 0.008462 5.29%
xyo-network
XYO Network (XYO) $ 0.003693 14.81%
gas
Gas (GAS) $ 1.46 16.56%
celo
Celo (CELO) $ 0.07712 0.95%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.883677 4.43%
spell-token
Spell (SPELL) $ 0.000086 0.87%
would
would (WOULD) $ 0.058646 5.30%
vine
Vine (VINE) $ 0.007488 0.43%
zencash
Horizen (ZEN) $ 5.20 0.36%
woo-network
WOO (WOO) $ 0.01158 1.86%
iotex
IoTeX (IOTX) $ 0.002969 5.34%
bridged-wrapped-ether-starkgate
Bridged Ether (StarkGate) (ETH) $ 2,241.79 5.41%
resolv-wstusr
Resolv wstUSR (WSTUSR) $ 1.13 0.06%
siacoin
Siacoin (SC) $ 0.000647 0.81%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.014272 6.18%
osmosis
Osmosis (OSMO) $ 0.036403 5.11%
vana
Vana (VANA) $ 0.980902 1.00%
griffain
GRIFFAIN (GRIFFAIN) $ 0.01205 2.22%
zetachain
ZetaChain (ZETA) $ 0.032504 0.22%
uxlink
UXLINK (UXLINK) $ 0.000656 9.20%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.277943 2.15%
ankr
Ankr Network (ANKR) $ 0.004079 0.39%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000093541 9.41%
tribe-2
Tribe (TRIBE) $ 0.387363 0.93%
ravencoin
Ravencoin (RVN) $ 0.00328 1.61%
enjincoin
Enjin Coin (ENJ) $ 0.026516 1.77%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.051792 0.57%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000551 2.71%
aelf
aelf (ELF) $ 0.062916 6.84%
anime
Animecoin (ANIME) $ 0.002682 1.94%
constellation-labs
Constellation (DAG) $ 0.007087 5.26%
polymesh
Polymesh (POLYX) $ 0.03507 3.48%
convex-finance
Convex Finance (CVX) $ 2.42 19.05%
drift-protocol
Drift Protocol (DRIFT) $ 0.012302 3.07%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.000000011927 3.02%
venice-token
Venice Token (VVV) $ 17.60 0.78%
qubic-network
Qubic (QUBIC) $ 0.0000004179 0.68%
coinex-token
CoinEx (CET) $ 0.012181 0.86%
peaq-2
peaq (PEAQ) $ 0.024106 14.05%
threshold-network-token
Threshold Network (T) $ 0.003704 1.30%
stepn
GMT (GMT) $ 0.007228 0.13%
usda-2
USDa (USDA) $ 0.967102 0.00%

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