US 30-Year Treasury Yield Turns Into an AI Capital Tax

The US 30-year Treasury yield hit its highest level since 2007 as oil, public borrowing and AI debt competed for capital. The move is repricing housing, technology valuations and the hurdle rate for data-center investment.

The US 30-year Treasury yield has become more than a bond-market statistic. After touching 5.3371% on August 18, its highest level since 2007, the long bond is turning into a capital-allocation test for governments, households and the companies financing the artificial-intelligence buildout. Oil above $90 has revived inflation risk, heavy public borrowing has raised the price investors demand for duration, and hyperscalers are competing for the same long-term capital needed to fund deficits, mortgages and industrial investment. The result is a new market regime in which growth can remain positive while the discount rate quietly taxes every promise whose payoff lies far in the future.

The immediate move was dramatic but not isolated. Reuters reported that the 30-year yield reached 5.327% in Asian trading as stalled efforts to end the U.S.-Iran conflict pushed oil above $90 a barrel. Later, the yield touched 5.3371% before easing to about 5.294%, while the 10-year Treasury reached 4.7478% and then settled near 4.712%. Japan’s 10-year yield approached 3%, European benchmarks remained near multiyear highs, and the Nasdaq fell as investors reassessed expensive technology stocks. This was not a clean “strong economy, higher yields” move. It was a global repricing of inflation, fiscal supply and the competition for savings.

Block2Learn’s thesis is that the long end now transmits three pressures at once. The first is an energy risk premium created by uncertainty around the Strait of Hormuz. The second is a fiscal and supply premium created by the volume of bonds investors must absorb. The third is an AI financing premium created when capital-intensive companies issue debt and commit cash to projects whose ultimate returns remain uncertain. Any one of these pressures might be temporary. Together, they can keep real-world financing tight even when incoming economic data soften and expectations for an immediate Federal Reserve increase recede.

What the long bond is actually pricing

A 30-year Treasury yield can be decomposed conceptually into several parts: the expected path of short-term rates, expected inflation, a real return for postponing consumption, and a term premium for holding an asset exposed to decades of uncertainty. The components cannot be observed perfectly in real time, but their logic matters. If investors believed that today’s oil shock would disappear quickly, inflation would fall back, deficits would stabilize and the Federal Reserve would soon normalize policy, the long yield should not need to remain near a 19-year high. Its persistence indicates that buyers want compensation for risks extending beyond the next policy meeting.

The distinction between the policy rate and the long rate is crucial. A central bank controls an overnight benchmark, but a 30-year bond must survive multiple business cycles, administrations, wars, recessions and inflation regimes. Its price therefore reflects credibility as much as current policy. Softer economic data can pull down near-term rate expectations while the long yield stays elevated because debt supply, energy uncertainty or fiscal risk remain unresolved. That is why a steepening driven by the long end can feel restrictive even without a fresh central-bank move: the market itself raises the financing cost attached to housing, infrastructure and long-duration equity valuations.

The auction results provided an early warning. Reuters noted that the latest 10-year sale cleared at 4.683%, the highest yield in 19 years, while the 30-year auction stopped at 5.216%, a 25-year peak. Our earlier analysis of the 30-year Treasury auction focused on the duration premium embedded in that result. The August 18 move extends the story: the secondary market did not dismiss the auction as a temporary concession. It demanded still more yield as energy and global bond pressure intensified. An auction can reveal buyer hesitation on one day; a persistent repricing shows that the underlying hurdle rate has shifted.

Oil has reopened the inflation channel

The energy channel begins with a sharp change in assumptions. Brent crude traded near $90.79 on August 18, according to Reuters’ global market report, versus $72.87 immediately before the latest phase of the war. Oil matters for bonds because it can raise headline inflation directly through fuel and indirectly through freight, petrochemicals, manufacturing and household expectations. The effect need not be permanent to complicate policy. If businesses and consumers believe the shock will last, wage demands, pricing decisions and inflation compensation can adjust before the physical shortage is resolved.

The move also exposes how fragile forecasts become when they depend on a geopolitical route remaining open. In July, the U.S. Energy Information Administration expected improving traffic through the Strait of Hormuz to restore global flows toward pre-conflict levels, forecasting Brent at $74 a barrel on average in the third quarter and $65 in 2027. By August 18, the market was again pricing stalled diplomacy and renewed disruption. The EIA forecast was not unreasonable when published; it was conditional. The gap between $74 and roughly $91 measures how quickly a supply-route assumption can become an inflation risk premium.

Bond investors must decide whether to fade that premium or demand compensation until the route is demonstrably secure. If oil falls rapidly, part of the recent yield surge could reverse. If the disruption persists, the long bond faces two simultaneous problems: inflation expectations may drift higher, and fiscal costs related to the conflict may worsen the borrowing outlook. That combination is more difficult than a conventional demand boom. Raising rates cannot reopen a shipping lane, but allowing inflation to spread would damage credibility. The market therefore prices both weaker growth and tighter financial conditions without receiving the comfort normally associated with disinflation.

Treasury supply turns inflation fear into a duration premium

Supply does not determine yields mechanically, because demand can expand alongside issuance. Yet the marginal buyer still needs a price. The Treasury’s quarterly refunding process exists to communicate how financing needs will be distributed across bills, notes and bonds. Regular and predictable issuance supports market functioning, but predictability does not eliminate price sensitivity. When deficits remain large and investors expect a steady pipeline of duration, the clearing yield must be attractive relative to cash, corporate debt, foreign bonds and equities.

The maturity structure matters. Bills reprice quickly and expose the government to changes in short-term rates. Long bonds lock in funding but transfer more interest-rate risk to investors. A buyer of a 30-year security can suffer a large mark-to-market loss if yields rise, even though the bond ultimately pays at maturity. The higher term premium is therefore not simply a political verdict on debt. It is compensation for warehousing duration while future issuance, inflation and policy remain uncertain. The TreasuryDirect auction schedule shows how regularly the market must perform this absorption task across maturities.

This is where global competition becomes important. Japanese pension funds and insurers have historically been natural buyers of foreign fixed income when domestic yields were exceptionally low. With Japan’s 10-year yield near 3%, the relative attraction of U.S. debt changes after currency hedging and regulatory costs. Our analysis of Japan’s bond normalization explained why rising domestic yields can redirect capital rather than remain a local event. A Treasury market facing large supply cannot assume that every traditional foreign buyer will maintain the same allocation regardless of home-market alternatives.

AI capex is now competing with the sovereign borrower

The corporate side of the squeeze is newer. Artificial intelligence is often discussed as an equity story, but the physical buildout requires land, power, chips, cooling, networks and data centers. Those assets must be financed before the revenue they may generate is fully visible. Hyperscalers can use operating cash flow, but the size and speed of the investment cycle encourage them to diversify funding through domestic and international bond markets. Investors are therefore being asked to finance both the public sector’s structural needs and a private infrastructure boom at the same time.

Alphabet’s recent Australian-dollar bond illustrates the shift. As Block2Learn argued in Alphabet’s new AI funding regime, issuing in multiple currencies expands the investor base and matches financing to a global capital program. That strategy is rational for the borrower, but it also shows that AI capex is no longer funded only from the retained earnings of extraordinarily profitable technology companies. It is becoming a credit-market phenomenon. The more projects move onto corporate balance sheets and bond indices, the more AI investment must compete directly with government debt for long-duration demand.

A high long-bond yield creates an AI capital tax in three ways. First, it raises the direct coupon needed on new corporate debt. Second, it increases the discount rate applied to cash flows expected many years from now, compressing valuation multiples even if near-term earnings remain intact. Third, it raises the return threshold for each data-center project. A project that looked attractive when capital cost 4% may look marginal above 6% after including execution risk, depreciation, power contracts and uncertain utilization. This does not end the AI boom, but it separates projects with durable economics from those justified mainly by cheap capital and fear of missing out.

The stock market began to express that distinction on August 18. The Associated Press reported that the Nasdaq fell 1.3% in morning trading as Micron, Nvidia and Broadcom declined. These companies are not identical borrowers, and daily price moves do not prove that AI investment is failing. They show that investors scrutinize expensive, long-duration equities more aggressively when the risk-free alternative yields nearly 5% or more. A bond investor can earn a substantial nominal return without assuming equity execution risk; an equity buyer must demand a larger earnings payoff to justify the difference.

The financing loop can tighten itself

The interaction between bond supply and AI investment can become reflexive. Higher yields raise financing costs. Higher costs increase the amount of cash projects must generate. If the expected return becomes less certain, equity valuations decline. Lower valuations make stock-based financing less attractive and can push companies toward more debt or slower investment. More corporate issuance then adds to the fixed-income supply competing for investors, while slower investment can weaken the growth narrative that initially justified the spending. The loop is not automatic, but it becomes more plausible as the cost of duration rises.

This is the core risk explored in our analysis of the AI credit bubble. The danger is not simply that companies borrow. Productive infrastructure is routinely financed with debt. The danger appears when the maturity of the financing is shorter than the economic payoff, when demand forecasts are extrapolated too aggressively, or when multiple companies build similar capacity before pricing power is proven. A higher Treasury benchmark does not create those weaknesses, but it reveals them faster by removing the cushion once provided by low rates.

For lenders and bondholders, the question shifts from whether AI spending will continue to how the cash flows are distributed. Chip designers can receive revenue early, utilities can sign long-term contracts, data-center operators can lock in tenants, and cloud platforms may monetize capacity over years. The value chain contains different duration and credit risks. A broad narrative that “AI demand is strong” cannot answer whether a specific borrower is funding a high-return platform, a necessary defensive project or an overbuilt asset. Elevated long yields force investors to price those distinctions rather than treating every capex announcement as equally valuable.

Housing shows how the long rate reaches the real economy

The July housing report provides a direct transmission channel. The U.S. Census Bureau said permits rose 5% from June to an annualized 1.443 million, but starts fell 12.4% to 1.239 million and completions fell 9.1% to 1.212 million. Single-family starts dropped 9.9% to 808,000. The divergence is informative: developers still hold plans and authorizations, but actual construction has slowed under the combined pressure of financing costs, affordability and uncertain demand. A permit represents optionality. Breaking ground commits capital.

This distinction complements, rather than duplicates, our earlier analysis of Home Depot’s repair economy. That article showed how high mortgage rates suppress moves and major renovations while supporting smaller maintenance work. The long-bond story explains why the constraint can persist even if policy expectations soften. Mortgage rates are linked to longer-term benchmarks and spreads, not only to the overnight rate. When the 10-year and 30-year yields remain elevated, the housing market does not receive immediate relief from weaker data or a modest change in the next central-bank decision.

Housing also demonstrates the asymmetry of high yields. Savers can earn more, but borrowers must qualify at higher monthly payments. Builders can obtain permits, but financing the land, labor and materials becomes more expensive. Existing owners may possess valuable equity, but moving requires replacing an older mortgage with a new loan priced in the current market. The result is not necessarily a sudden collapse. It can be a long period of lower turnover, postponed projects and capital allocated only to the most necessary or profitable uses. That slow squeeze is precisely how a duration premium affects the economy without a dramatic policy announcement.

Why softer data may not rescue bonds immediately

Investors often expect weak data to lower yields because slower growth reduces inflation and encourages easier policy. That relationship is most reliable when the shock originates in demand and fiscal credibility remains stable. The current environment is more complicated. Housing starts can fall while oil raises the inflation outlook. Equity prices can weaken while governments and companies still need to issue debt. The Federal Reserve can face less urgency to tighten in September while long-bond buyers continue demanding compensation for energy, supply and fiscal uncertainty.

This creates a regime in which good news and bad news can both pressure duration. Strong growth supports higher real rates and issuance. Weak growth can worsen deficits while an external oil shock prevents rapid easing. The path to lower long yields therefore requires more than one soft release. It needs evidence that inflation risk is receding, energy flows are normalizing, financing needs are credible and the private capex boom can produce returns without an endless increase in leverage. Until several of those conditions improve together, each bond rally may face sellers willing to wait for a higher yield.

Three scenarios for the US 30-year Treasury yield

Scenario one: oil normalizes and the long yield retreats. A durable reopening of energy flows would remove part of the inflation premium. If subsequent data confirm slower demand and Treasury auctions attract solid end-user demand, the 30-year yield could move back below 5%. Rate-sensitive equities and housing would receive relief, while AI borrowers could refinance more comfortably. This is the benign scenario, but it requires geopolitical evidence rather than another temporary memorandum or headline.

Scenario two: the yield remains near 5%–5.4%. Oil fluctuates without a decisive resolution, issuance stays heavy, and economic activity slows only gradually. In this range, the economy can continue expanding, but every investment decision faces a higher hurdle. Shorter-duration bonds become more attractive, expensive growth stocks lose some valuation support, and AI capex becomes more selective. Housing remains constrained rather than collapsing. This is the most plausible “capital rationing” regime because it does not require a crisis—only persistent uncertainty and a market unwilling to subsidize duration.

Scenario three: the yield breaks materially higher. Renewed conflict keeps oil elevated, foreign demand weakens, or auctions require increasingly large concessions. A move beyond the recent peak would tighten mortgages, corporate credit and equity valuations simultaneously. The most leveraged or distant-payoff AI projects would face cancellations or restructurings. Fiscal interest expense would rise over time as debt rolled over, potentially reinforcing concern about future issuance. This scenario would not guarantee recession, but it would increase the probability that financial tightening becomes the mechanism that creates one.

What investors should monitor next

The first indicator is auction quality, not just the headline yield. Investors should watch the gap between the when-issued market and the auction stop, the share taken by indirect bidders, and dealer absorption. A high yield with broad end-user demand can stabilize the market. A repeated need for concessions indicates that the marginal buyer remains cautious. The second indicator is the shape of the curve. If long yields rise while two-year yields remain stable or fall, the market is emphasizing term premium and supply rather than simply repricing the next central-bank move.

The third indicator is oil relative to the EIA’s prior baseline. A sustained return toward the mid-$70s would validate the view that supply can normalize. A prolonged hold near or above $90 would keep the inflation channel active. The fourth is corporate issuance and capex guidance. Investors should compare the growth of borrowing with operating cash flow, contracted demand and utilization. Debt that funds a visible backlog is different from debt that funds capacity built mainly because competitors are building it.

The fifth indicator is cross-asset confirmation. A high long yield is most dangerous when credit spreads widen, rate-sensitive equities fall, housing weakens and the dollar rises together. If spreads remain contained and earnings expectations hold, markets may be adapting to a higher nominal-rate world rather than entering systemic stress. The final indicator is global relative value. Japanese and European yields influence the demand available for Treasuries after hedging. The U.S. long bond does not clear in isolation; it clears inside a worldwide market for duration.

The Block2Learn assessment

The US 30-year Treasury yield is signaling that capital scarcity can return even in a financial system with enormous liquidity. Scarcity does not mean money disappears. It means borrowers must compete harder for investors willing to lock up funds for decades. Government deficits, energy security and AI infrastructure are all legitimate demands on capital. The bond market’s function is to rank them through price. A yield above 5% tells policymakers and executives that promises of future growth are no longer enough; the market wants compensation, cash flow and credibility.

For AI, this is healthy and dangerous at the same time. It is healthy because a real hurdle rate can discourage duplicate projects and reward infrastructure with contracted demand, power access and durable margins. It is dangerous because the buildout has become an important source of investment and equity-market confidence. If the cost of capital rises faster than monetization, companies may cut spending precisely when suppliers, utilities and regional economies have begun relying on it. The transition from exuberant expansion to disciplined returns can be constructive, but it is rarely smooth.

For portfolios, the correct response is not to assume that every high yield is automatically attractive or that every technology decline is a buying opportunity. Duration offers more income but remains sensitive to inflation and supply. AI equities offer growth but must clear a higher discount rate. Energy can hedge part of the geopolitical shock while remaining volatile. Cash and shorter maturities offer optionality, but they create reinvestment risk if long yields fall. The allocation problem is therefore about matching horizon, liquidity needs and conviction to the source of return.

Bottom line

The 19-year high in the US 30-year Treasury yield is not one isolated market record. It connects the Strait of Hormuz to inflation expectations, Treasury auctions to fiscal credibility, Japanese normalization to global capital flows, and AI data centers to corporate borrowing. The long bond has become the price at which these competing narratives must coexist.

If oil normalizes and bond demand strengthens, the recent spike may fade. If supply, geopolitics and AI borrowing remain aligned, a yield near 5% can become the new discipline imposed on long-duration assets. That would not end investment. It would force governments and companies to prove that the future cash flows behind today’s borrowing are worth the price.

Readers who want to connect rates, credit, valuation and capital allocation can continue through the Block2Learn Learning Path. The objective is not to predict every basis-point move, but to understand how the long bond transmits risk from energy and public finance into housing, technology and the wider market.

FREE START + 15% DISCOUNT

Start Free Today. Unlock Your 15% Member Discount.

Access the Free Start program immediately and receive an exclusive 15% discount for your first Learning Path purchase.

Build your foundation before making your next investment decision.

GET FREE ACCESS

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.

Related Posts

B2L Market Focus: Britain’s Wage-Energy Split Is Pulling Rates in Opposite Directions
  • August 18, 2026

Cooling UK private-sector pay is weakening the case for higher short-term rates, while energy and fiscal uncertainty keep long gilt yields exposed. The result is a split signal across the yield curve, sterling, housing, credit and domestic equities.

Continue reading

You Missed

S&P 500 Technical Analysis: Oil and Yields Test SPY’s $756 Support

  • August 18, 2026
S&P 500 Technical Analysis: Oil and Yields Test SPY’s $756 Support

US 30-Year Treasury Yield Turns Into an AI Capital Tax

  • August 18, 2026
US 30-Year Treasury Yield Turns Into an AI Capital Tax

New Hampshire Crypto Self-Custody Law Starts September 8—Not August 18

  • August 18, 2026
New Hampshire Crypto Self-Custody Law Starts September 8—Not August 18

B2L Market Focus: Britain’s Wage-Energy Split Is Pulling Rates in Opposite Directions

  • August 18, 2026
B2L Market Focus: Britain’s Wage-Energy Split Is Pulling Rates in Opposite Directions

Home Depot Earnings Reveal a Repair Economy Trapped by High Mortgage Rates

  • August 18, 2026
Home Depot Earnings Reveal a Repair Economy Trapped by High Mortgage Rates

Bitcoin Technical Analysis: $62,275 Support Holds Below $65,474 Breakout

  • August 18, 2026
Bitcoin Technical Analysis: $62,275 Support Holds Below $65,474 Breakout

BHP’s Copper Pivot Puts Capital Discipline on Trial

  • August 18, 2026
BHP’s Copper Pivot Puts Capital Discipline on Trial

Hashdex DEFI Closure Reveals Bitcoin ETF’s Winner-Takes-Most Market

  • August 18, 2026
Hashdex DEFI Closure Reveals Bitcoin ETF’s Winner-Takes-Most Market
bitcoin
Bitcoin (BTC) $ 64,659.00 0.50%
ethereum
Ethereum (ETH) $ 1,915.58 0.50%
xrp
XRP (XRP) $ 1.00 0.00%
tether
Tether (USDT) $ 0.999458 0.00%
solana
Solana (SOL) $ 77.05 1.50%
bnb
BNB (BNB) $ 603.17 0.20%
usd-coin
USDC (USDC) $ 0.999798 0.00%
dogecoin
Dogecoin (DOGE) $ 0.070138 0.20%
cardano
Cardano (ADA) $ 0.173638 0.40%
staked-ether
Lido Staked Ether (STETH) $ 2,265.05 3.46%
tron
TRON (TRX) $ 0.332681 0.50%
chainlink
Chainlink (LINK) $ 9.51 0.00%
avalanche-2
Avalanche (AVAX) $ 6.33 0.10%
stellar
Stellar (XLM) $ 0.154648 1.80%
the-open-network
Gram (prev. Toncoin) (GRAM) $ 1.32 0.50%
hedera-hashgraph
Hedera (HBAR) $ 0.067112 1.90%
sui
Sui (SUI) $ 0.650985 3.60%
shiba-inu
Shiba Inu (SHIB) $ 0.000004 1.60%
leo-token
LEO Token (LEO) $ 9.49 0.80%
polkadot
Polkadot (DOT) $ 0.751377 0.80%
litecoin
Litecoin (LTC) $ 44.38 0.20%
bitget-token
Bitget Token (BGB) $ 1.67 0.10%
bitcoin-cash
Bitcoin Cash (BCH) $ 203.61 0.20%
hyperliquid
Hyperliquid (HYPE) $ 58.43 1.10%
uniswap
Uniswap (UNI) $ 3.29 0.20%
usds
USDS (USDS) $ 1.00 0.00%
wrapped-eeth
Wrapped eETH (WEETH) $ 2,465.31 3.39%
ethena-usde
Ethena USDe (USDE) $ 0.999867 0.00%
official-trump
Official Trump (TRUMP) $ 1.41 0.40%
pepe
Pepe (PEPE) $ 0.000003 0.00%
near
NEAR Protocol (NEAR) $ 1.59 2.80%
ondo-finance
Ondo (ONDO) $ 0.326652 2.30%
aave
Aave (AAVE) $ 87.31 2.20%
mantra-dao
MANTRA (MANTRA) $ 0.004669 1.10%
aptos
Aptos (APT) $ 0.527541 0.50%
internet-computer
Internet Computer (ICP) $ 2.20 2.90%
monero
Monero (XMR) $ 412.61 0.90%
whitebit
WhiteBIT Coin (WBT) $ 55.75 0.40%
bittensor
Bittensor (TAO) $ 190.83 2.70%
ethereum-classic
Ethereum Classic (ETC) $ 6.06 1.90%
mantle
Mantle (MNT) $ 0.426828 3.00%
dai
Dai (DAI) $ 1.00 0.00%
crypto-com-chain
Cronos (CRO) $ 0.04605 2.30%
vechain
VeChain (VET) $ 0.004422 0.40%
polygon-ecosystem-token
POL (ex-MATIC) (POL) $ 0.081752 2.30%
okb
OKB (OKB) $ 101.06 1.00%
kaspa
Kaspa (KAS) $ 0.025271 1.20%
algorand
Algorand (ALGO) $ 0.077898 0.90%
gatechain-token
Gate (GT) $ 6.74 1.20%
render-token
Render (RENDER) $ 1.26 0.60%
filecoin
Filecoin (FIL) $ 0.628235 6.40%
arbitrum
Arbitrum (ARB) $ 0.075292 0.30%
fetch-ai
Artificial Superintelligence Alliance (FET) $ 0.120223 3.20%
cosmos
Cosmos Hub (ATOM) $ 1.41 0.50%
coinbase-wrapped-btc
Coinbase Wrapped BTC (CBBTC) $ 76,366.00 3.12%
tokenize-xchange
Tokenize Xchange (TKX) $ 0.171556 86.60%
ethena
Ethena (ENA) $ 0.083044 0.10%
celestia
Celestia (TIA) $ 0.299068 1.50%
optimism
Optimism (OP) $ 0.081872 2.20%
bonk
Bonk (BONK) $ 0.000002 0.10%
blockstack
Stacks (STX) $ 0.119303 1.90%
binance-peg-weth
Binance-Peg WETH (WETH) $ 2,262.26 3.62%
raydium
Raydium (RAY) $ 0.614585 0.40%
theta-token
Theta Network (THETA) $ 0.142919 4.00%
immutable-x
Immutable (IMX) $ 0.099813 6.30%
lombard-staked-btc
Lombard Staked BTC (LBTC) $ 76,491.00 3.15%
jupiter-exchange-solana
Jupiter (JUP) $ 0.167005 0.50%
movement
Movement (MOVE) $ 0.005845 6.10%
binance-staked-sol
Binance Staked SOL (BNSOL) $ 108.24 4.48%
first-digital-usd
First Digital USD (FDUSD) $ 0.997419 0.00%
injective-protocol
Injective (INJ) $ 4.06 0.10%
kelp-dao-restaked-eth
Kelp DAO Restaked ETH (RSETH) $ 2,404.69 3.37%
xdce-crowd-sale
XDC Network (XDC) $ 0.026665 1.20%
fasttoken
Fasttoken (FTN) $ 0.159833 0.00%
worldcoin-wld
Worldcoin (WLD) $ 0.322758 6.10%
kucoin-shares
KuCoin (KCS) $ 6.59 1.00%
lido-dao
Lido DAO (LDO) $ 0.304803 0.40%
susds
sUSDS (SUSDS) $ 1.08 0.16%
the-graph
The Graph (GRT) $ 0.013181 2.60%
rocket-pool-eth
Rocket Pool ETH (RETH) $ 2,631.35 3.29%
sonic-3
Sonic (S) $ 0.021391 2.20%
mantle-staked-ether
Mantle Staked Ether (METH) $ 2,455.82 3.44%
nexo
NEXO (NEXO) $ 0.709658 0.20%
quant-network
Quant (QNT) $ 55.77 1.90%
flare-networks
Flare (FLR) $ 0.005876 1.00%
sei-network
Sei (SEI) $ 0.038586 2.80%
dogwifcoin
dogwifhat (WIF) $ 0.13616 0.90%
solv-btc
Solv Protocol BTC (SOLVBTC) $ 76,461.00 2.70%
virtual-protocol
Virtuals Protocol (VIRTUAL) $ 0.573233 1.00%
the-sandbox
The Sandbox (SAND) $ 0.038561 1.60%
msol
Marinade Staked SOL (MSOL) $ 133.18 5.83%
gala
GALA (GALA) $ 0.001408 13.10%
usual-usd
Usual USD (USD0) $ 0.998817 0.10%
floki
FLOKI (FLOKI) $ 0.00002 1.20%
jasmycoin
JasmyCoin (JASMY) $ 0.003501 6.10%
tezos
Tezos (XTZ) $ 0.199366 0.10%
kaia
Kaia (KAIA) $ 0.022095 4.90%
solv-protocol-solvbtc-bbn
Solv Protocol Staked BTC (XSOLVBTC) $ 76,043.00 2.27%
iota
IOTA (IOTA) $ 0.032789 0.20%
ethereum-name-service
Ethereum Name Service (ENS) $ 3.84 1.70%
spx6900
SPX6900 (SPX) $ 0.318829 0.30%
fartcoin
Fartcoin (FARTCOIN) $ 0.140903 1.90%
pudgy-penguins
Pudgy Penguins (PENGU) $ 0.006052 0.90%
pyth-network
Pyth Network (PYTH) $ 0.038475 0.10%
solana-swap
Solana Swap (SOS) $ 0.000152 1.60%
bittorrent
BitTorrent (BTT) $ 0.000000260925 0.10%
flow
Flow (FLOW) $ 0.027484 0.80%
bitcoin-sv
Bitcoin SV (BSV) $ 14.44 4.80%
neo
NEO (NEO) $ 1.69 0.50%
chain-2
Onyxcoin (XCN) $ 0.002889 1.50%
ronin
Ronin (RON) $ 0.047177 2.80%
jupiter-staked-sol
Jupiter Staked SOL (JUPSOL) $ 115.56 4.52%
curve-dao-token
Curve DAO (CRV) $ 0.241385 0.40%
jito-governance-token
Jito (JTO) $ 0.548349 5.70%
aioz-network
AIOZ Network (AIOZ) $ 0.047592 1.40%
renzo-restaked-eth
Renzo Restaked ETH (EZETH) $ 2,421.84 3.59%
arweave
Arweave (AR) $ 1.75 3.80%
binance-peg-dogecoin
Binance-Peg Dogecoin (DOGE) $ 0.107393 0.17%
arbitrum-bridged-wbtc-arbitrum-one
Arbitrum Bridged WBTC (Arbitrum One) (WBTC) $ 76,200.00 2.99%
starknet
Starknet (STRK) $ 0.022437 2.00%
axie-infinity
Axie Infinity (AXS) $ 0.838785 1.60%
wbnb
Wrapped BNB (WBNB) $ 759.61 1.56%
dexe
DeXe (DEXE) $ 1.87 6.20%
decentraland
Decentraland (MANA) $ 0.063429 0.00%
based-brett
Brett (BRETT) $ 0.003646 2.30%
elrond-erd-2
MultiversX (EGLD) $ 2.74 0.40%
beam-2
Beam (BEAM) $ 0.001278 2.80%
aerodrome-finance
Aerodrome Finance (AERO) $ 0.403409 1.20%
usdd
USDD (USDD) $ 0.999425 0.00%
dydx-chain
dYdX (DYDX) $ 0.102931 2.70%
thorchain
THORChain (RUNE) $ 0.405264 2.70%
morpho
Morpho (MORPHO) $ 2.09 1.30%
l2-standard-bridged-weth-base
L2 Standard Bridged WETH (Base) (WETH) $ 2,266.86 3.46%
mantle-restaked-eth
Mantle Restaked ETH (CMETH) $ 2,447.46 3.67%
conflux-token
Conflux (CFX) $ 0.041117 2.30%
reserve-rights-token
Reserve Rights (RSR) $ 0.001149 1.20%
arbitrum-bridged-weth-arbitrum-one
Arbitrum Bridged WETH (Arbitrum One) (WETH) $ 2,265.06 3.52%
zcash
Zcash (ZEC) $ 508.99 1.00%
tether-gold
Tether Gold (XAUT) $ 4,324.82 1.50%
ether-fi-staked-btc
Ether.fi Staked BTC (EBTC) $ 76,722.00 4.00%
ai16z
ai16z (AI16Z) $ 0.00032 0.40%
ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.122977 1.10%
coredaoorg
Core (CORE) $ 0.020225 3.20%
helium
Helium (HNT) $ 0.167923 2.60%
frax
Legacy Frax Dollar (FRAX) $ 0.991469 0.00%
akash-network
Akash Network (AKT) $ 0.476763 6.40%
compound-governance-token
Compound (COMP) $ 17.45 1.90%
meow
MEOW (MEOW) $ 0.000005 1.10%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.008918 0.40%
ecash
eCash (XEC) $ 0.000006 1.20%
chiliz
Chiliz (CHZ) $ 0.011881 2.50%
wormhole
Wormhole (W) $ 0.008061 2.70%
amp-token
Amp (AMP) $ 0.000368 2.20%
ultima
Ultima (ULTIMA) $ 2,280.21 0.30%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.168733 0.40%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.013478 2.70%
resolv-usr
Resolv USR (USR) $ 0.127019 2.40%
pancakeswap-token
PancakeSwap (CAKE) $ 1.52 3.60%
pax-gold
PAX Gold (PAXG) $ 4,333.49 1.60%
gigachad-2
Gigachad (GIGA) $ 0.001829 0.40%
mina-protocol
Mina Protocol (MINA) $ 0.039904 0.90%
gnosis
Gnosis (GNO) $ 108.28 4.40%
pendle
Pendle (PENDLE) $ 1.33 0.00%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.081845 0.20%
echelon-prime
Echelon Prime (PRIME) $ 0.226863 2.90%
zksync
ZKsync (ZK) $ 0.007547 1.30%
paypal-usd
PayPal USD (PYUSD) $ 0.999937 0.00%
havven
Synthetix (SNX) $ 0.191719 2.10%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998166 0.00%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 1,915.52 0.30%
axelar
Axelar (AXL) $ 0.03483 2.10%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000278988 0.00%
snek
Snek (SNEK) $ 0.000308 0.60%
mog-coin
Mog Coin (MOG) $ 0.000000093633 1.80%
telcoin
Telcoin (TEL) $ 0.001441 3.80%
toshi
Toshi (TOSHI) $ 0.000098 2.20%
dydx
dYdX (ETHDYDX) $ 0.103068 2.90%
kava
Kava (KAVA) $ 0.04086 0.20%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000953 0.20%
notcoin
Notcoin (NOT) $ 0.000377 1.40%
chex-token
Chintai (CHEX) $ 0.008642 4.40%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000309 1.60%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.083334 0.10%
trust-wallet-token
Trust Wallet (TWT) $ 0.386228 0.20%
quantixai
Quantix Finance (QFI) $ 49.86 2.10%
grass
Grass (GRASS) $ 0.310383 4.00%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.086328 0.30%
terra-luna
Terra Luna Classic (LUNC) $ 0.000047 0.60%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.08255 1.60%
livepeer
Livepeer (LPT) $ 1.18 0.30%
hashnote-usyc
Circle USYC (USYC) $ 1.13 0.10%
usdb
USDB (USDB) $ 1.00 0.20%
creditcoin-2
Creditcoin (CTC) $ 0.065337 2.40%
theta-fuel
Theta Fuel (TFUEL) $ 0.007213 0.90%
oasis-network
Oasis (ROSE) $ 0.005286 0.10%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.017276 1.80%
kusama
Kusama (KSM) $ 2.91 0.80%
bio-protocol
Bio Protocol (BIO) $ 0.02446 0.60%
layerzero
LayerZero (ZRO) $ 0.784892 1.30%
blur
Blur (BLUR) $ 0.013101 0.20%
dash
Dash (DASH) $ 29.83 2.10%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000316 0.80%
ordinals
ORDI (ORDI) $ 3.39 0.50%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.116057 3.90%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.00%
freysa-ai
Freysa AI (FAI) $ 0.002576 0.10%
arkham
Arkham (ARKM) $ 0.085801 3.30%
turbo
Turbo (TURBO) $ 0.000763 1.40%
popcat
Popcat (POPCAT) $ 0.040955 0.20%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.15 1.10%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.000606 1.10%
nervos-network
Nervos Network (CKB) $ 0.000805 2.00%
astar
Astar (ASTR) $ 0.004444 1.20%
just
JUST (JST) $ 0.107026 0.80%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.63 0.30%
zilliqa
Zilliqa (ZIL) $ 0.002253 0.70%
verus-coin
Verus (VRSC) $ 0.233099 7.30%
melania-meme
Melania Meme (MELANIA) $ 0.070103 0.30%
holotoken
Holo (HOT) $ 0.000323 1.70%
ai-rig-complex
AI Rig Complex (ARC) $ 0.07014 6.00%
origintrail
OriginTrail (TRAC) $ 0.261381 0.40%
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) $ 0.07467 0.90%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000032363 0.00%
ether-fi
Ether.fi (ETHFI) $ 0.483523 2.90%
safepal
SafePal (SFP) $ 0.242882 4.40%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.003755 1.80%
golem
Golem (GLM) $ 0.086021 2.30%
basic-attention-token
Basic Attention (BAT) $ 0.059246 1.40%
swissborg
SwissBorg (BORG) $ 0.140336 0.50%
skale
SKALE (SKL) $ 0.003265 2.40%
wemix-token
WEMIX (WEMIX) $ 0.198136 2.00%
mocaverse
Moca Network (MOCA) $ 0.007147 1.60%
xyo-network
XYO Network (XYO) $ 0.002904 1.20%
gas
Gas (GAS) $ 0.936114 0.40%
celo
Celo (CELO) $ 0.058222 1.80%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.681116 0.30%
spell-token
Spell (SPELL) $ 0.000076 1.10%
would
would (WOULD) $ 0.06907 2.80%
vine
Vine (VINE) $ 0.006686 2.60%
zencash
Horizen (ZEN) $ 3.83 4.00%
woo-network
WOO (WOO) $ 0.010387 1.20%
iotex
IoTeX (IOTX) $ 0.002538 1.10%
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) $ 0.000446 3.40%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.012354 2.10%
osmosis
Osmosis (OSMO) $ 0.029494 2.20%
vana
Vana (VANA) $ 0.861667 0.70%
griffain
GRIFFAIN (GRIFFAIN) $ 0.011612 3.80%
zetachain
ZetaChain (ZETA) $ 0.026932 2.10%
uxlink
UXLINK (UXLINK) $ 0.000679 2.10%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.240343 0.50%
ankr
Ankr Network (ANKR) $ 0.003334 0.60%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000058123 4.10%
tribe-2
Tribe (TRIBE) $ 0.311586 0.50%
ravencoin
Ravencoin (RVN) $ 0.002703 3.00%
enjincoin
Enjin Coin (ENJ) $ 0.023344 1.90%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.041762 1.50%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.00046 0.00%
aelf
aelf (ELF) $ 0.05235 1.80%
anime
Animecoin (ANIME) $ 0.002365 1.50%
constellation-labs
Constellation (DAG) $ 0.006555 1.90%
polymesh
Polymesh (POLYX) $ 0.027847 2.10%
convex-finance
Convex Finance (CVX) $ 1.52 3.90%
drift-protocol
Drift Protocol (DRIFT) $ 0.011544 0.80%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.000000010408 1.40%
venice-token
Venice Token (VVV) $ 13.91 4.20%
qubic-network
Qubic (QUBIC) $ 0.000000442 0.40%
coinex-token
CoinEx (CET) $ 0.011744 1.80%
peaq-2
peaq (PEAQ) $ 0.017612 9.50%
threshold-network-token
Threshold Network (T) $ 0.003243 2.00%
stepn
GMT (GMT) $ 0.005929 3.30%
usda-2
USDa (USDA) $ 0.967102 0.60%

Discover more from Block2Learn

Subscribe now to keep reading and get access to the full archive.

Continue reading