Black Sea Grain Risk: Why Global Stocks Cannot Fix a Logistics Shock

Global wheat inventories look comfortable, but importers do not buy a global balance sheet. They buy deliverable cargoes at specific ports, on specific dates, with insurance, credit and freight attached. Renewed disruption around Ukraine’s Black Sea export system is turning that distinction into a food-inflation test.

Black Sea grain risk is exposing a market contradiction: the world can have ample wheat on paper and still face a shortage of deliverable cargoes. The United States Department of Agriculture projects 819.3 million tonnes of global wheat production and 273.25 million tonnes of ending stocks for 2026/27. Yet attacks on Ukrainian export infrastructure, reduced port throughput and tighter shipping conditions have already pushed benchmark wheat prices higher. Importers do not buy the global balance sheet. They buy specific grades, at specific ports, on specific dates, with freight, insurance and credit attached.

That difference is the core of the current shock. Aggregate supply answers whether enough grain exists somewhere in the system. Deliverable supply answers whether grain can move from farm storage to an ocean vessel and reach a mill before inventories run thin. A damaged conveyor, a closed berth, an unavailable insurer or a congested rail corridor can make a tonne economically absent even when it remains physically present.

The result is not automatically a global food crisis. It is a risk-premium regime in which geography and logistics matter more than the headline stock number. Buyers with diversified suppliers and strong currencies can absorb the adjustment. Import-dependent economies with thin reserves, weak currencies or subsidized bread systems face a much sharper pass-through. The same disruption therefore produces very different financial consequences across countries.

Black Sea Grain Risk at a Glance

Market layerComforting headlineActual constraint
Global balance sheetUSDA projects 273.25 million tonnes of ending wheat stocksStocks are unevenly located and not all are exportable
Black Sea supplyRussia may have volume to offset lost Ukrainian exportsTiming, grade, port geography and buyer access are not interchangeable
Ukraine logisticsDanube and rail routes remain availableAlternative corridors cannot fully replace deep-water port throughput
Import economicsBuyers can switch originsFreight, insurance, financing and currency costs rise together
Food inflationWheat is only one input into breadGovernments often absorb the shock through subsidies and fiscal balances

What Changed in the Black Sea

Two developments have combined. First, Ukrainian export capacity has been hit by sustained attacks on ports and related infrastructure. Second, market participants are reassessing whether alternative routes can move enough volume before storage, cash-flow and seasonal constraints become binding. Reuters reported on August 20 that Chicago wheat had risen about 17% since early July as buyers prepared for a tighter supply window.

The price move matters because it followed a period in which global inventories appeared reassuring. Markets were not suddenly discovering that the world had no wheat. They were pricing the possibility that a large portion of competitively priced Black Sea grain would arrive late, cost more to ship or fail to clear the normal export chain. A logistics shock can therefore reprice the marginal cargo long before it changes annual production totals.

Political signals added another layer. On August 22, Reuters reported Russian President Vladimir Putin arguing that Russia could replace Ukrainian grain volumes affected by the disruption. That claim may be plausible in aggregate tonnage. It does not settle the commercial question of whether Russian exports can replace the same origin, grade, delivery window, port access and counterparty relationships for every buyer.

Global Stocks Are Not a Warehouse Every Buyer Can Access

The August USDA WASDE projects 2026/27 world wheat output at 819.3 million tonnes, trade at 212.71 million tonnes and ending stocks at 273.25 million tonnes. Those figures describe a market with a meaningful buffer. They also reveal why trade flows matter: only about one quarter of annual wheat output enters international trade. A disruption affecting major export corridors can therefore influence the traded market far more than its share of global production suggests.

Ending stocks are also concentrated. Some are held in countries that are net importers, some are strategic reserves and some are commercially unavailable at prevailing prices. Grain in inland storage requires rail, river or truck capacity before it becomes an export cargo. Quality specifications narrow the substitutable pool further. Milling wheat, feed wheat and different protein grades cannot always be swapped without changing flour blends or feed formulas.

This is the same analytical mistake investors make when they treat energy reserves as immediately available supply. Block2Learn’s analysis of Venezuela’s oil-export bottleneck showed how nominal resource abundance can coexist with constrained market liquidity. In both cases, the relevant asset is not the resource in the ground or the grain in a silo. It is the reliably deliverable unit that clears the chain at a usable destination.

Deep-Water Ports Create an Economic Advantage Alternatives Cannot Fully Copy

Ukraine’s Black Sea ports connect large inland grain flows to ocean-going vessels. That connection compresses handling costs and allows buyers to assemble cargoes at scale. When deep-water terminals operate normally, a chain of farm storage, rail wagons, elevators, conveyors, berths and bulk carriers functions as one production system. Damage to one link reduces the value of capacity elsewhere because the system is limited by its slowest operational stage.

The historical evidence is unusually clear. UN Trade and Development’s assessment of the Black Sea Grain Initiative found that restoring predictable maritime access supported food flows to developing economies and helped reduce price pressure. The lesson is not that one agreement permanently solved the market. It is that reliable port access changes the usable supply available to the traded system.

The Danube corridor and overland routes into the European Union provide essential resilience. They are not perfect substitutes. River draft, transshipment, border procedures, rail-gauge differences and terminal availability constrain throughput. Each extra handling stage adds cost and loss risk. A tonne that moves by rail to another country, changes gauge, enters a river barge and is later transferred to a seagoing vessel has a different economics from a tonne loaded directly at a deep-water terminal.

Ukrainian officials have been explicit about the gap. Interfax-Ukraine reported that grain exports during the first twelve days of August reached roughly 590,000 tonnes, around 30% of required pace. The same report cited an estimate that, without Black Sea ports, alternative routes could cover no more than about half of export needs. That is not zero capacity. It is an economy operating below the throughput needed to clear its harvest.

The Storage Clock Converts a Logistics Problem Into a Financing Problem

Grain does not disappear when it cannot be exported. It accumulates. That sounds reassuring until the next harvest arrives. Storage space is finite, working capital is tied up and farmers need cash to finance seed, fertilizer, fuel and labor. If elevators remain full, producers may be forced to sell at distressed local prices even while world prices rise. The domestic and international markets then move in opposite directions.

The same Interfax report cited a possible Ukrainian storage shortfall of 8 to 11 million tonnes by November if export constraints persist. The number is a scenario, not a guaranteed outcome. Its importance lies in the mechanism. Once storage becomes scarce, the export bottleneck reaches backward into farm economics. Planting decisions, credit quality and input purchases begin to reflect a port problem hundreds of kilometers away.

Ukraine’s government has already adjusted policy to support the farm sector. On August 3, the Cabinet of Ministers temporarily changed minimum export-price rules for selected agricultural products, explicitly linking the measure to wartime attacks on logistics and power infrastructure. Policy intervention can relieve cash pressure, but it cannot manufacture port throughput.

Freight and Insurance Reprice Before Physical Supply Runs Out

Shipping markets price probability. A route does not need to close completely for freight economics to change. Owners may demand higher charter rates, insurers may raise war-risk premiums and crews may require additional protection or compensation. Vessels can spend longer waiting for clearance or berth access. Every day of delay raises the effective cost of the cargo and reduces the number of voyages a ship can complete.

These costs are multiplicative. A higher grain price increases the value insured. A longer voyage increases fuel and time. A weaker importer currency raises the local cost of both commodity and freight. More working capital is needed while the cargo is in transit. A buyer can therefore face a larger landed-cost shock than the futures market alone implies.

The pattern resembles the transmission channel examined in Block2Learn’s analysis of Europe’s energy shock and ECB repricing. Commodity inflation becomes a cost-of-capital issue when companies must finance more expensive inventory and central banks cannot ignore second-round effects. Grain carries smaller unit values than energy, but the social sensitivity of food prices can make the political response faster.

Why Russian Replacement Volume Is Not a Complete Hedge

Russia is a dominant wheat exporter and USDA projects a large export program. If Russian supply increases when Ukrainian flows fall, the global tonnage gap narrows. That is a genuine stabilizer. It should not be dismissed simply because it comes from a politically charged source. Commodity markets routinely rebalance through the exporter with the available surplus.

But replacement is never frictionless. Some buyers have procurement rules, sanctions exposure, banking constraints or shipping relationships that limit access to Russian cargoes. Russian wheat may arrive from different ports and at different times. Quality and protein specifications may differ from contracted Ukrainian grain. The relevant question is not whether one exporter can produce the missing tonnes over a marketing year. It is whether the marginal buyer can secure an acceptable cargo before its own stocks become scarce.

Concentration also creates a bargaining issue. When fewer origins can reliably serve the spot market, the remaining suppliers gain pricing power even if they have ample stocks. An importer that shifts from a diversified tender to a narrower supplier set becomes more exposed to weather, policy and payment changes in that one origin. Replacement volume can prevent an outright shortage while still producing a higher and more volatile clearing price.

Food Inflation Depends on the Importer’s Balance Sheet

The FAO Food Price Index averaged 131.1 points in July, up 0.6% from June. Its cereal component rose 3.4% month on month, while global wheat prices increased 5.8%. FAO attributed the wheat move partly to disruption of Black Sea export flows and damage to export infrastructure. The data confirm that logistics risk was already entering international prices before the latest political escalation.

International prices are only the first step. Local inflation depends on the exchange rate, tariff policy, milling margins, transport, energy, wage costs and the government’s subsidy system. A country with a stable currency and competitive retail sector may absorb part of the increase. A country with dollar shortages can experience a larger move because importers pay both a commodity premium and a currency premium.

Egypt illustrates the concentration risk. Reuters reported that Russia and Ukraine supplied about 82% of its wheat imports in the first half of 2026. Egypt can tender from alternative origins, but longer voyages and higher offer prices affect the fiscal cost of subsidized bread. The consumer price may remain controlled while the budget absorbs the shock. Inflation then appears as a sovereign-finance problem rather than a supermarket price change.

The Sovereign Channel Runs Through Subsidies, Reserves and Currency Demand

Food-importing governments manage three balances simultaneously. They need enough physical reserves to avoid shortages, enough foreign currency to pay suppliers and enough fiscal space to protect households from sudden price increases. A Black Sea shock tightens all three. Buying earlier increases inventory financing. Buying from farther away increases freight. Holding retail prices steady increases the subsidy bill.

This can feed directly into bond and currency markets. More expensive imports widen the current-account deficit. Subsidies widen the fiscal deficit. Central banks may keep policy tighter if food inflation threatens expectations. The dynamic echoes the capital-flow mechanism in Block2Learn’s Kazakhstan bond-access analysis: market reform, currency demand and financing conditions are inseparable. In grain-importing economies, the catalyst is defensive rather than reform-driven, but the balance-sheet logic is similar.

Political sensitivity magnifies the response. Bread and flour occupy a larger share of household spending in lower-income economies. Governments may restrict exports of domestic substitutes, lower import duties, release reserves or negotiate bilateral supply arrangements. Those interventions can protect one country while tightening the global market for everyone else. A logistics shock can therefore trigger policy feedback that outlasts the original port disruption.

Corporate Winners and Losers Are Defined by Access, Not Direction

Commodity merchants with diversified origination networks may benefit from wider geographic spreads and higher demand for logistics expertise. Port operators, rail providers and storage companies on alternative corridors can see stronger utilization. Grain producers outside the Black Sea may receive higher farm-gate prices. Those are not risk-free gains: working-capital needs and counterparty exposure rise as cargo values increase.

Millers and food manufacturers face the opposite pressure. Their ability to pass through higher input costs depends on contracts and consumer demand. Companies with flexible formulations and multiple approved origins have more options. Businesses built around just-in-time procurement or one dominant origin are more vulnerable. The key metric is not simply gross margin. It is how quickly procurement costs reset relative to selling prices and cash conversion.

Banks also inherit the shock. Agricultural borrowers may need larger credit lines while grain waits in storage. Importers need more trade finance per tonne. Sovereign and state-owned buyers may extend payment schedules. Lenders should distinguish between a profitable commodity position and a logistics-trapped inventory position. Rising international prices do not help a farmer who cannot move the crop or a buyer who cannot secure a vessel.

Why Futures Prices Do Not Tell the Whole Story

Exchange-traded wheat futures provide a transparent benchmark, but they represent specific contracts, grades and delivery systems. The Black Sea market clears through physical differentials: origin premiums, port basis, freight, insurance and payment terms. A futures rally signals tightening expectations. It does not reveal whether a particular buyer can source a vessel-sized cargo at the benchmark price.

Analysts should therefore watch basis and freight alongside futures. A stable futures price with a widening Black Sea premium can indicate a regional logistics problem. A broad rally across origins suggests the disruption is drawing substitute supply from other buyers. Falling Ukrainian farm prices alongside rising import costs would be the clearest evidence of a broken transmission chain: surplus at origin, scarcity at destination.

Volatility also affects hedging. A mill that hedges the futures component but not freight or basis remains exposed to the largest moving parts of the landed price. Airlines learned this distinction between crude oil and jet fuel cracks; grain users face a similar mismatch between benchmark wheat and the exact cargo they consume. A hedge is only effective when its basis remains stable.

Three Scenarios for the Next Supply Window

Scenario One: Throughput Recovers and the Premium Fades

Repairs restore enough terminal capacity, vessel traffic normalizes and alternative routes clear part of the backlog. Russian and other exporter supply covers delayed Ukrainian cargoes. Futures give back part of the risk premium while freight and insurance ease. Storage remains tight but does not force a broad reduction in planting. This is the soft-landing scenario: global stocks prove sufficient because logistics reconnect them to demand before importer reserves become critical.

Scenario Two: A Persistent but Partial Bottleneck

Ports continue operating below normal capacity, Danube and rail routes remain congested and freight premiums stay elevated. The world avoids a physical shortage, but importers pay more to secure cargoes. Ukrainian storage and farm finance deteriorate while producers elsewhere benefit from higher prices. Food inflation remains concentrated in vulnerable importing economies. This is the most plausible risk-premium regime because it requires neither full normalization nor complete closure.

Scenario Three: Escalation Triggers Policy Feedback

Further infrastructure damage sharply reduces Black Sea availability and raises war-risk insurance. Importers accelerate tenders, exporters impose protective measures and governments release reserves. The attempt to secure supply pulls demand forward and amplifies the price move. Central banks in food-sensitive economies face renewed inflation pressure while fiscal authorities absorb larger subsidy bills. In this scenario, comfortable global stocks remain real but cease to reassure the traded market.

A Monitoring Dashboard Without Invented Certainty

  • Ukrainian port throughput: weekly tonnes loaded, number of operating berths and vessel turnaround time.
  • Alternative-route utilization: Danube volumes, rail border queues and transshipment costs.
  • Storage pressure: elevator occupancy, farm-gate discounts and evidence of harvest being held outside standard facilities.
  • Freight and insurance: Black Sea charter rates, war-risk premiums and vessel availability.
  • Origin spreads: Ukrainian, Russian, European, U.S. and Australian wheat offers adjusted for quality.
  • Importer resilience: reserve coverage, tender volumes, currency performance and subsidy announcements.
  • Policy response: export restrictions, tariff changes, strategic releases and bilateral supply agreements.

No single indicator proves the shock is ending. A fall in futures can coexist with persistent port damage if demand is temporarily delayed. Higher exports from Russia can stabilize global volume while increasing concentration. More overland traffic can signal resilience or simply confirm that deep-water capacity remains impaired. The indicators must be read as a system.

Block2Learn Assessment

The strongest bearish argument for wheat prices is credible: global production and stocks are large, Russia can supply substantial export volume and alternative routes keep Ukrainian grain moving. The strongest bullish argument is also credible: the internationally traded market is much smaller than total production, and the cheapest marginal tonnes depend on a concentrated physical corridor. The market can be well supplied in annual arithmetic and tight in the next delivery window.

That tension makes the current episode more than a commodity trade. It is a lesson in economic infrastructure. Ports, insurers, banks, railways and storage facilities determine whether a harvest becomes liquidity. When they fail to coordinate, the price signal separates: farmers receive less, importers pay more and intermediaries demand compensation for risk. Aggregate abundance cannot repair a broken chain by itself.

The most important mistake would be to read USDA stocks as proof that logistics do not matter, or to read a 17% futures rally as proof that the world is running out of wheat. Both claims flatten a multidimensional market into one number. The correct framework separates physical availability, exportability, timing, quality, freight, insurance, financing and policy. Black Sea grain risk is the premium created when those layers stop moving together.

Conclusion: Deliverability Is the Real Reserve

The world enters this disruption with a larger wheat cushion than the price action alone suggests. That cushion matters. It lowers the probability that a regional logistics shock becomes an absolute global shortage. But a reserve only stabilizes the market when it can reach the buyer who needs it. Geography, infrastructure and finance decide whether that happens in time.

For investors, watch the spread between global abundance and local scarcity. For companies, map every step between supplier and mill rather than relying on benchmark prices. For policymakers, protect trade routes and financing before emergency restrictions fragment the market further. The next phase will not be decided by how much wheat exists in the world. It will be decided by how much wheat can become a cargo.

Continue with the Block2Learn Learning Path to connect commodity flows, sovereign balance sheets and market infrastructure into a reusable analytical framework.

This article is for educational purposes only and does not constitute financial advice.

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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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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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