US Stock Market Breadth: Earnings Can Beat Rate Risk—If the Rally Widens

  • News
  • August 21, 2026

Strong earnings and faster services growth support the S&P 500, but US stock market breadth must widen enough to offset higher bond yields and valuation risk.

US stock market breadth has become the decisive test for a rally that still enjoys powerful earnings support but now faces a much less forgiving interest-rate environment. UBS Global Wealth Management raised its year-end S&P 500 target to 8,100 on August 21, arguing that economic resilience, supportive monetary policy and artificial-intelligence adoption remain intact. Yet the same market is being asked to absorb higher long-duration Treasury yields, expensive equity multiples and a widening gap between large-cap inflows and the smaller companies that should normally confirm a durable expansion. The index can keep rising, but the quality of the next leg matters more than the headline level.

The central question is not whether analysts can justify another six percent of index upside. It is whether earnings growth, revenue growth and capital flows are spreading across enough sectors and market-cap tiers to reduce dependence on a narrow set of dominant companies. If that broadening occurs while nominal growth remains firm, the market can tolerate a higher discount rate. If it does not, every rise in bond yields will expose how much of the valuation depends on a few unusually profitable businesses and on investors continuing to pay premium multiples for distant cash flows.

US Stock Market Breadth Is More Important Than the 8,100 Target

Price targets are useful because they force analysts to make assumptions about earnings and valuation, but they are not independent facts. For US stock market breadth, the assumptions beneath the target matter more than the target itself. Reuters reported that UBS lifted its 2026 S&P 500 earnings-per-share forecast to $350 from $335 and its 2027 forecast to $400 from $375. The 8,100 target therefore rests on stronger profits as much as on a higher market multiple. That distinction is essential. An index can rise because companies produce more cash flow, because investors accept a lower risk premium, or because both happen together. The first route is fundamentally healthier when bond yields are rising.

At Thursday’s close of 7,641.16, the new target implied roughly six percent upside. That is not an extravagant forecast in isolation. The harder issue is distribution. UBS said improving conditions in cyclical parts of the economy were beginning to supplement the contribution from AI-related companies. That is exactly the kind of evidence the market needs, because US stock market breadth is the mechanism that can convert a concentrated technology rally into a broader earnings cycle. A target supported by more industries is more resilient than the same target supported by a higher multiple on the existing leaders.

The Earnings Evidence Is Strong, but the Composition Needs Scrutiny

The latest earnings season provides genuine support for the bullish argument. Reuters reported that about 85% of the 468 S&P 500 companies that had published results beat average analyst estimates. FactSet separately calculated that blended second-quarter revenue growth reached 15.0%, the strongest pace since the fourth quarter of 2021. All eleven sectors reported year-over-year revenue growth, and five delivered double-digit gains. Those numbers describe a real expansion, not merely a speculative rerating, and provide a strong starting point for US stock market breadth.

Revenue breadth matters because earnings can be distorted by tax effects, asset revaluations, buybacks and one-off gains. Revenue is therefore one of the cleanest fundamental measures of US stock market breadth. Sales growth across every sector indicates that nominal demand has broadened. It also suggests that the market’s resilience is not solely a function of financial engineering. Nevertheless, FactSet’s data reveal a concentration problem inside the aggregate. Energy and Information Technology were the two largest contributors to revenue growth; excluding them would have reduced the index rate to 9.7%. Nine-point-seven percent would still be healthy, but the gap shows that the headline deserves decomposition.

The profit numbers require even more care. FactSet estimated a record 15.7% blended net margin for the second quarter, but the margin would fall to 14.4% if Alphabet were excluded because an unusually large earnings surprise magnified the aggregate. Fourteen-point-four percent remains exceptional. Margin breadth is the second test of US stock market breadth, which must be judged on contribution, not only on the number of companies reporting positive growth.

Growth Is Reaccelerating Through Services

The macroeconomic backdrop also improved on August 21. S&P Global’s flash services PMI rose from 54.6 in July to 56.8 in August, the highest reading since December 2024. The Composite Output Index advanced to 56.0, its strongest level since April 2022, while services hiring increased at the fastest pace in nineteen months. S&P Global said the surveys pointed to annualized third-quarter growth approaching 3.0%, compared with the Bureau of Economic Analysis estimate of 1.5% real GDP growth in the second quarter. The acceleration gives US stock market breadth a stronger macro base.

This is favorable for profits because the service sector is the largest part of the U.S. economy and includes many high-margin businesses. Stronger new orders and hiring can sustain revenue growth even as manufacturing slows. It also supports cyclical financial, consumer and business-service earnings that would improve US stock market breadth. The market does not need every industry to accelerate simultaneously; it needs enough sectors to produce cash-flow growth that is independent of a single technology spending cycle.

However, growth approaching three percent is not unambiguously bullish for valuation. The stronger the real economy looks, the less urgency the Federal Reserve has to reduce rates. Services prices and input costs remained elevated, while energy disruptions continued to pressure manufacturing supply chains. Faster nominal growth helps the numerator of an equity valuation, but it can also raise the discount rate applied to those earnings. That tension explains why equities can post strong results and still weaken when Treasury yields rise.

Why Higher Bond Yields Change the Hurdle Rate

An equity is a claim on future cash flows. When the risk-free rate rises, the present value of those future cash flows falls unless profits grow quickly enough to compensate. The effect is largest for long-duration companies whose expected value lies far in the future. That is why the relationship between bond yields and equity valuation deserves more attention than a single index target. Our analysis of global bond yields and equity valuation risk explains how sovereign financing costs propagate into the discount rate used across public and private markets.

Higher yields also change corporate behavior. Debt-funded buybacks become less attractive, refinancing consumes more cash, leveraged acquisitions require larger synergies and capital-intensive projects face a higher return threshold. These effects do not arrive at once, because large companies often lock in funding for years. They accumulate as old debt matures and new investments are evaluated. A broad rally therefore needs companies outside the cash-rich mega-cap group to demonstrate that their operating leverage can outrun their financing costs.

This is the connection between rates and US stock market breadth. The largest technology platforms can fund investment internally and may benefit from scale. Smaller firms, regional businesses and highly levered sectors are more exposed to bank lending standards and bond-market pricing. If those companies cannot participate, the index may remain strong while the average stock struggles. The headline can then conceal a shrinking set of winners.

Fund Flows Show Conviction, but Not Yet Full Broadening

Capital flows provide another layer of evidence for US stock market breadth. U.S. equity funds attracted $11.72 billion in the week through August 19, the largest weekly inflow since July 29. Large-cap funds received $9.58 billion and multi-cap funds $1.36 billion. Mid-cap funds, by contrast, lost $809 million, while small-cap funds lost $70 million. Technology funds added $287 million, but sector funds overall suffered $3.1 billion of withdrawals, led by financials, consumer staples and industrials.

Those flows are supportive for the index and incomplete for the breadth thesis. Investors are buying equities, but the strongest demand is still concentrated in large companies. That makes sense when yields are high: balance-sheet quality and predictable margins become more valuable. Yet a durable expansion normally becomes more convincing when capital begins to move into mid-caps, smaller companies and economically sensitive sectors. Until then, US stock market breadth is improving more clearly in revenues than in investor positioning.

Bond funds simultaneously attracted $9.92 billion, their largest weekly total since July 15, including substantial demand for investment-grade and government funds. Investors are not choosing between risk and safety in a simple binary way. They are building a barbell: quality equities for earnings exposure and high-grade bonds for income and protection. This allocation can sustain the S&P 500, but it also signals that investors remain conscious of duration, inflation and policy risk.

The AI Cycle Helps Breadth Only When Spending Becomes Revenue Elsewhere

Artificial intelligence remains one of the three pillars behind the UBS forecast. The most important question is no longer whether AI leaders can grow. It is whether their capital expenditure produces revenue for a broader industrial ecosystem and eventually raises productivity for customers. Data-center investment already supports semiconductors, networking, electrical equipment, construction, cooling, utilities and specialized finance. That diffusion can improve US stock market breadth even if the largest platforms remain the central buyers.

But capital expenditure is not the same as return on capital. The AI power bottleneck and grid-capacity constraint shows why physical infrastructure can limit the speed at which digital demand becomes productive capacity. Power availability, interconnection queues, equipment lead times and financing costs can delay cash generation. Higher bond yields amplify that problem because they increase the cost of funding long-lived assets before those assets produce revenue.

For investors, the healthy version of AI broadening is not indiscriminate enthusiasm across anything carrying an AI label. It is a measurable chain from platform demand to supplier orders, completed infrastructure, customer adoption and sustained free cash flow. The more links in that chain produce real earnings, the less fragile the index becomes. If spending remains concentrated and returns disappoint, the same theme can turn from a breadth engine into a source of multiple compression.

Cyclicals Are the Necessary Second Engine

UBS specifically highlighted improving conditions in cyclical parts of the economy. This is important because cyclical participation is one of the cleanest signals that growth is spreading beyond defensive quality and secular technology. Industrials, banks, transports, materials and consumer-discretionary companies respond to orders, credit creation, investment and household demand. Their earnings can confirm that the economy is strong enough to support the market without relying on multiple expansion.

The evidence is mixed. Services activity and all-sector revenue growth are positive. Mid-cap and small-cap fund outflows are not. Rising energy prices can boost nominal revenue for producers while compressing margins for transport, manufacturing and consumers. Higher yields can support bank net interest income in some circumstances, but they can also weaken loan demand and raise credit losses. Cyclicals therefore need more than higher nominal prices; they need real volume growth and manageable funding conditions.

The earlier Block2Learn assessment of stock-market resilience during the oil and yield shock remains relevant. Equities can absorb adverse macro signals when profits are strong, but resilience should not be confused with immunity. A market that survives a shock because a handful of companies keep beating expectations is less robust than one in which the median company can also defend margins.

Breadth Must Be Measured in Several Dimensions

DimensionWhat confirmation looks like
US stock market breadth in pricesEqual-weight performance and the share of stocks above medium-term trends improve alongside the capitalization-weighted index.
US stock market breadth in earningsPositive revisions extend beyond the largest technology and communication-services companies.
US stock market breadth in revenueSales growth remains positive across sectors without depending on one commodity or one investment cycle.
US stock market breadth in marginsThe median company protects profitability after financing, labor and input costs.
US stock market breadth in flowsNew allocations reach mid-caps, small-caps and cyclical sectors rather than concentrating in large-cap funds.
US stock market breadth in creditRefinancing remains available and credit spreads stay contained across issuer quality.

A practical review should keep those measures separate. US stock market breadth improves first when more companies produce sales growth. US stock market breadth strengthens when that revenue survives into margins. US stock market breadth becomes investable when earnings revisions confirm the operating data. US stock market breadth becomes visible in prices when equal-weight participation improves. US stock market breadth becomes durable when fund flows follow. US stock market breadth becomes resilient when credit remains available. US stock market breadth becomes credible only when these signals reinforce one another rather than relying on a single index record. US stock market breadth is therefore a sequence of confirmations, not a binary label.

Market breadth is often reduced to the number of stocks above a moving average. That is useful, but an investment regime requires a wider dashboard. Price breadth asks how many shares participate. Earnings breadth asks how many companies produce positive revisions. Revenue breadth asks whether demand is distributed. Margin breadth asks whether profitability extends beyond the largest firms. Flow breadth asks where investors allocate fresh capital. Credit breadth asks whether financing remains available across company sizes.

These dimensions can diverge. All sectors can report revenue growth while small-cap flows remain negative. A high percentage of companies can beat estimates even when aggregate profit growth is dominated by a few one-off gains. An equal-weight index can lag while the capitalization-weighted S&P 500 reaches a record. None of these observations alone invalidates the rally. Together they show where its resilience comes from and where it remains vulnerable.

DimensionCurrent evidenceWhat would confirm broadening
RevenueAll eleven sectors growingLess dependence on Energy and Technology
EarningsHigh beat rate and strong marginsFewer one-off contributions to aggregate growth
FlowsStrong large-cap demandSustained mid-cap, small-cap and cyclical inflows
MacroServices accelerationManufacturing stabilization without renewed inflation
ValuationHigher EPS forecastsEarnings growth outpacing the rise in discount rates

The Federal Reserve Matters Through the Reaction Function

Markets often focus on the next rate move, but the reaction function is more important. Strong services growth, hiring and persistent price pressure reduce the probability of rapid easing. A bond market already worried about supply and inflation can demand a higher term premium even if the policy rate eventually falls. The Jackson Hole policy path and equity risk premium analysis explains why communication about the conditions for action can matter more than a single decision.

For US stock market breadth, the ideal policy environment is not necessarily the lowest possible rate. It is a stable environment in which inflation declines, real growth remains positive and financing costs become predictable. Sudden easing caused by recession would not automatically help cyclicals. Likewise, persistently high rates caused by inflation would punish weaker balance sheets. A gradual normalization supported by durable growth offers the best chance for broader participation.

Three Scenarios for the Next Phase

Scenario One: Earnings Breadth Defeats Rate Pressure

In the constructive scenario, services growth remains strong without reigniting inflation, manufacturing stabilizes, and earnings revisions improve outside the mega-cap group. Mid-cap and cyclical flows turn positive. S&P 500 earnings approach the higher forecasts while Treasury yields stop rising. In that environment, the 8,100 target becomes plausible without requiring aggressive multiple expansion. US stock market breadth improves in prices, profits and capital flows at the same time.

Scenario Two: The Index Rises but Concentration Persists

In the middle scenario, the largest technology and communication companies keep beating estimates, while smaller companies face high refinancing costs and uneven demand. The capitalization-weighted index can still advance, especially if AI investment remains strong. Yet equal-weight performance, small-cap flows and cyclical revisions lag. This is not an immediate bear market signal, but it leaves the rally vulnerable to any disappointment from its dominant contributors.

Scenario Three: Yields Rise Faster Than Earnings

In the adverse scenario, oil and service-sector prices keep inflation elevated, long-duration yields rise, and the earnings outlook outside a few leaders weakens. Equity inflows retreat into bonds and cash. Multiples compress even if nominal earnings remain positive. The market would then discover that strong backward-looking results cannot fully protect valuations from a higher required return. The weakness would likely appear first in leveraged, rate-sensitive and lower-quality companies before reaching the index leaders.

What Investors Should Monitor

The next confirmation should come from a small set of observable indicators. First, compare equal-weight and capitalization-weighted index performance. Second, watch earnings revisions for the other 493 companies rather than only the largest seven. Third, monitor mid-cap and small-cap fund flows. Fourth, distinguish revenue growth from one-off profit gains. Fifth, track real yields and the term premium, not only expectations for the policy rate. Sixth, examine whether credit spreads remain contained as Treasury yields rise.

Labor and consumer data also matter. The recent repricing around U.S. jobs data and rate cuts showed how quickly the narrative can shift when employment information changes. Stronger services hiring is constructive, but wage and price pressure could delay easing. The best signal for breadth would be continued employment growth alongside lower inflation, because that combination supports revenues without forcing a larger discount-rate adjustment.

Block2Learn Assessment: Breadth Is Improving, Not Yet Proven

The bullish case is stronger than a simple narrative of speculative enthusiasm. Revenue is growing across all sectors, services activity is accelerating, earnings beats are widespread and large-cap equity funds are attracting substantial capital. Those are meaningful facts. They justify taking the higher earnings forecasts seriously and explain why the S&P 500 can remain resilient despite rising yields.

But the evidence does not yet prove a fully broadened regime. Aggregate margins are flattered by unusually large company-specific contributions. Large-cap inflows dominate while mid- and small-cap funds lose assets. Manufacturing is slowing, energy pressure remains a risk, and the bond market is raising the hurdle rate for long-duration assets. US stock market breadth is therefore improving in business activity and revenues faster than it is improving in flows and financing conditions.

The decisive element will be whether stronger nominal growth produces higher free cash flow across the median company without forcing yields materially higher. If earnings broaden faster than the discount rate rises, the rally can become healthier even from an expensive starting point. If the discount rate wins, a higher index target will not protect the weaker layers beneath the headline.

Conclusion: The Rally Needs More Winners, Not Just Higher Targets

That is why US stock market breadth remains the clearest operational test of rally quality.

The S&P 500’s next phase will not be decided by whether one institution forecasts 8,100 or another chooses a different number. It will be decided by the interaction among earnings, breadth and interest rates. Strong revenues and service-sector growth give the market a credible fundamental base. Record margins and high beat rates show that corporate America can still convert demand into profit. Yet concentrated contributions and uneven fund flows show that the transition from a leader-driven rally to a broad expansion remains incomplete.

US stock market breadth is the bridge between those two regimes. More sectors, company sizes and balance sheets must participate before investors can treat higher index targets as evidence of lower fragility. Until that happens, the market can continue rising, but every move in long-duration yields will remain a stress test of who is genuinely growing and who is merely benefiting from the index’s concentration.

Continue Through the Block2Learn Learning Path

Understanding market breadth requires more than following an index level. It requires the ability to separate earnings from valuation, nominal growth from real growth, price participation from fundamental participation and policy rates from the full yield curve. These distinctions are developed progressively through the Block2Learn Learning Path.

Free Start introduces the basic language of markets and risk. Foundation develops the relationship among economic growth, interest rates, valuation and capital allocation. Investor Operating System turns those concepts into a repeatable decision process, while Trading adds market structure and execution. Wealth Strategy places equity exposure inside a broader portfolio, and Framework connects the layers into one coherent system. The objective is not to predict every target; it is to understand which evidence would confirm or invalidate the market regime behind it.

Information is abundant. Structure is rare.

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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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conflux-token
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reserve-rights-token
Reserve Rights (RSR) $ 0.001497 4.41%
arbitrum-bridged-weth-arbitrum-one
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 (HOLO) $ 0.000013 3.12%
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) $ 0.000000093778 10.36%
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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