India Bank Dollar Bonds: Why a Discounted Hedge Created a Funding Stampede

India bank dollar bonds reveal how a temporary RBI hedge subsidy crowded offshore markets, widened spreads and divided lenders by funding access.

India bank dollar bonds have become an unusually clear experiment in what happens when a central-bank incentive meets a market with finite balance-sheet capacity. The Reserve Bank of India’s discounted foreign-exchange hedge was meant to attract overseas deposits and support the country’s balance of payments. It worked faster than expected. More than $50 billion arrived through the relevant deposit channel, large lenders rushed to issue offshore debt, and the RBI brought the window’s closing date forward by a month.

The success created its own constraint. By August 25, Yes Bank, Federal Bank and RBL Bank had shelved planned dollar issues after investors demanded wider spreads and the time available for disclosure became too short. On the same day, Union Bank of India completed its first public dollar deal in more than twelve years. The contrast is the real story. A policy that reduced the cost of hedging did not make every bank equally attractive to global bond buyers. It accelerated issuance until credit differentiation, market congestion and execution speed mattered more than the subsidy itself.

That makes the episode larger than a temporary Indian funding rush. It shows how targeted liquidity programs can alter the timing of borrowing without eliminating credit risk. They can pull future issuance into the present, compress funding costs for institutions that reach the market first and then leave later or smaller borrowers facing a more crowded order book. In other words, the hedge solved one price—the currency-conversion cost—while the bond market raised another: the credit spread.

The RBI Window Worked—Then the Calendar Became the Market

The mechanism began with a concessional swap facility for foreign-currency deposits and selected overseas borrowing. Banks could mobilize Foreign Currency Non-Resident (Bank), or FCNR(B), deposits and hedge the dollars into rupees on unusually favorable terms. The economic purpose was straightforward: encourage foreign-currency inflows, strengthen the external funding position and give domestic lenders access to rupee liquidity without bearing an unhedged exchange-rate exposure.

The response was powerful. According to Reuters’ August 14 account of the RBI figures, the central bank had received $52.3 billion through FCNR deposits between June 8 and August 13. Another $1.7 billion came through swap facilities for external commercial borrowings, while $2.8 billion came through overseas foreign-currency borrowing by authorized lenders. The RBI moved the FCNR(B) cutoff to August 31 from September 30, while leaving the other two windows open through year-end.

Bringing the deadline forward was rational from a policy perspective. Once a program has attracted enough inflows to meet its purpose, continuing to subsidize the same activity can create unnecessary cost or distortions. Yet the announcement also transformed a funding opportunity into a race. Banks no longer had a month of optionality. They had days to prepare documents, appoint banks, sound investors, choose maturities, price bonds, allocate proceeds and connect the borrowing to eligible deposits before the hedge window closed.

That calendar pressure explains why issuance accelerated even when no lender’s long-term credit need had suddenly changed. The economic value of the transaction depended partly on completing it before the policy deadline. A dollar borrowed after the window closed could still be useful, but it would not have the same hedging economics. The deadline therefore increased the opportunity cost of waiting and pulled transactions forward.

How a Dollar Bond Becomes Rupee Funding

A dollar bond is not automatically cheap funding for a rupee lender. The bank receives dollars and owes coupons and principal in dollars. If it deploys the proceeds into rupee assets without hedging, a weaker rupee can increase the domestic cost of servicing the obligation. A prudent comparison therefore has at least three components: the dollar benchmark yield, the bank’s credit spread over that benchmark and the cost of converting or hedging the dollars into rupees.

The benchmark is usually a U.S. Treasury of similar maturity. The credit spread compensates investors for the issuer’s default, liquidity, jurisdiction and structural risks. The swap or forward cost translates the foreign-currency liability into a domestic-currency funding cost. A discounted hedge lowers the third component. It does not erase the first two. If Treasury yields or issuer spreads rise enough, the all-in cost can still become unattractive.

This distinction matters because investors and banks view the same transaction from different sides. The lender asks whether the swapped rupee cost improves its net interest margin, supports profitable loan growth or finances high-quality liquid assets. The bond buyer asks whether the offered spread compensates for the bank’s capital, asset quality, deposit franchise, governance, legal history and secondary-market liquidity. A central-bank hedge can improve the lender’s calculation without changing the buyer’s required return.

The relationship also explains why the Treasury market matters even in an India-specific story. A wider U.S. risk-free yield raises the coupon floor before investors price any bank-specific risk. Block2Learn’s analysis of the 5.22% U.S. 30-year auction yield showed that capital remains available, but demand has become more price-sensitive. Indian lenders issuing shorter maturities operate at different points on the curve, yet the general principle is the same: the global dollar rate sets the starting line.

The First Movers Captured the Cleanest Economics

Large banks moved quickly. Reuters reported on August 24 that Indian bank dollar issuance had reached $10.3 billion under the window. ICICI Bank was preparing its fourth dollar transaction in a month, taking its aggregate fundraising under the program to $3.05 billion. HDFC Bank had raised $2.5 billion. The issuance wave was not a marginal adjustment. It became a concentrated refinancing and balance-sheet exercise.

ICICI’s sequence illustrates the advantage of repeat access. Its first five-year issue in nearly nine years raised $1 billion at a 5.46% coupon and a spread of 100 basis points over Treasuries. It then reopened the paper for $300 million at a lower yield, followed by another $750 million five-year transaction at a 105-basis-point spread. On August 21, the bank said its board had doubled the overseas borrowing limit to $5 billion.

Repeat issuance can improve execution because investors already understand the credit and can price adjacent maturities or taps more efficiently. It also creates a usable secondary-market curve. A large, familiar issuer can return while demand is still deep, whereas a smaller or less frequent borrower must spend more time reintroducing its credit story. Under an early deadline, familiarity becomes a financial asset.

First movers also face less competition for investor attention. Global bond funds have finite risk budgets, country limits and analyst capacity. Even when they like Indian banks as a sector, they cannot absorb every transaction at the same spread. Early issuers meet portfolios with more available room. Later issuers must compete with bonds that already offer exposure to the same country, currency, sector and regulatory system.

Union Bank Proved That Demand Still Existed

The market did not shut. Union Bank of India demonstrated that investors were still willing to buy the right credit at the right price. On August 25, the state-run lender accepted $600 million of bids through its Dubai branch, splitting the deal equally between three-year and five-year bonds. The coupons were 5.23% and 5.417%, respectively.

More important than the coupons was the spread compression. The three-year tranche priced 93 basis points over Treasuries after initial guidance of 120 basis points. The five-year tranche priced at 102 basis points after guidance of 130. Investors did not merely participate; their orders allowed the bank to tighten terms substantially. That is evidence of healthy demand, not a distressed funding event.

Union Bank’s ownership and market position likely helped differentiate it. State-run lenders can carry an implicit perception of public-sector support even when the bonds remain legal obligations of the issuer rather than the sovereign. Investors also had fresh reference points: State Bank of India had raised $500 million publicly and another $600 million privately, while Bank of Baroda had raised $700 million. A group of comparable public-sector credits created a curve against which Union Bank could be valued.

This matters for the broader interpretation. Crowding did not make dollar funding unavailable. It made the market more selective. Strong demand for one deal can coexist with prohibitive pricing for another because global fixed-income investors rank credits rather than buy a national story indiscriminately. The policy created a common incentive, but the market preserved a hierarchy.

Why Yes Bank Walked Away

Yes Bank had planned to raise about $500 million through three-year bonds. The institution is rebuilding its franchise and now has a strategic foreign shareholder, Sumitomo Mitsui Banking Corporation, with a 24.9% stake. Yet the bond market was not willing to treat that development as a substitute for pricing the bank’s own history and liquidity.

Reuters reported on August 25 that investors sought a spread of about 200 basis points over Treasuries. CreditSights had estimated fair value at 170–180 basis points, implying a yield near 6.04%–6.14%. A difference of 20–30 basis points may look small beside equity-market volatility, but on a $500 million fixed-income transaction it represents a recurring cost over the life of the bond.

The gap was also a signal. Investors were not only asking to be paid for Yes Bank’s current financial ratios. They were pricing execution risk, secondary-market liquidity and institutional memory. The bank last issued dollar debt in 2018. It later wrote down more than ₹84 billion of perpetual domestic bonds during its 2020 reconstruction, an event that damaged confidence among debt investors even though the legal structure and currency of the proposed new notes were different.

Walking away can therefore be a sign of discipline rather than weakness. A bank should not issue merely because a policy window exists. If the spread absorbs the hedge benefit and leaves the swapped cost above alternative funding, the transaction destroys value. The rational decision is to preserve capital-market optionality and return when supply is lighter, disclosures are ready and investors can assess the credit without a deadline premium.

Federal Bank and RBL Bank reached similar conclusions. Both had considered benchmark issues of roughly $500 million. Bankers told Reuters that the public route no longer left enough time for disclosures, while private placement had become expensive. Their decisions reveal a second form of inequality in capital markets: not just the price of credit, but the speed at which an institution can produce a transaction-ready package.

A Subsidy Can Shift Risk Without Removing It

The RBI hedge reduced foreign-exchange risk for eligible flows. That is valuable because unhedged dollar liabilities can destabilize banks and borrowers when the domestic currency weakens. However, transferring the currency risk to the central bank’s swap balance sheet does not abolish funding risk. It changes where the risk appears and which price expresses it.

For the bank, the remaining risks include credit spread, refinancing, tenor mismatch and asset deployment. A three-year dollar bond used to support longer-duration rupee lending creates a rollover decision before the funded assets mature. A deposit-linked strategy can also depend on customers maintaining balances. If the economics are attractive only while a concession exists, the institution must plan for a less favorable funding environment at maturity.

For the RBI, the program attracts foreign exchange and supports reserves, but it creates future swap obligations. That is not inherently problematic. Central banks routinely manage foreign-currency assets and domestic liquidity. Still, the accounting should be understood as an intertemporal exchange, not free money. The central bank receives dollars, provides rupees and commits to reverse the swap later under the agreed terms.

For investors, the facility can improve a bank’s funding profile while also increasing sector concentration in portfolios. Buying several Indian bank issues does not provide as much diversification as buying credits from unrelated industries or jurisdictions. The bonds share exposure to the RBI framework, Indian macro conditions, rupee liquidity and global appetite for emerging-market financial debt. That is why even fundamentally sound issuance can hit a portfolio limit.

The Hidden Variable Is Deposit Economics

The transaction chain does not end at bond issuance. Proceeds are expected to support customers placing money into FCNR(B) deposits under the discounted hedge. That creates leverage between offshore capital markets and the domestic deposit system. The bank borrows dollars, channels financing or liquidity to depositors, receives foreign-currency deposits and swaps the exposure into rupees.

The strategy can improve rupee liquidity and support lending, but its profitability depends on the spread between the all-in funding cost and the return on deployed assets. If banks compete aggressively for deposits, they may pass much of the subsidy to customers through attractive rates or financing terms. If bond spreads widen simultaneously, the margin can compress from both sides.

This is part of a wider global competition for stable funding. Block2Learn’s analysis of stablecoin yield and bank deposits showed how alternative forms of dollar liquidity can raise deposit beta even when the token issuer does not pay interest directly. The Indian episode is structurally different, but the lesson overlaps: deposits are not passive. They respond to incentives, distribution and the availability of competing yield.

A bank that builds funding through a temporary program must therefore ask whether the relationship will persist when the concession ends. Sticky deposits are valuable because they reduce refinancing risk and funding volatility. Incentive-sensitive deposits can leave when the price changes. The headline inflow may strengthen current liquidity while adding a future retention challenge.

Why Crowded Supply Widens Spreads

Bond supply affects price because investors need balance-sheet room to absorb it. When several issuers approach the market together, underwriters compete for the same orders. Fund managers compare new issues not only with outstanding bonds but also with transactions expected the next day. They may delay buying today’s paper if tomorrow’s deal could offer a larger concession.

New-issue concessions compensate buyers for committing capital and accepting the uncertainty of secondary trading. In a quiet market, a strong issuer may price close to its existing curve. In a crowded market, even a healthy bank may need to offer extra spread because buyers have alternatives. The concession rises further for an infrequent issuer without a liquid dollar curve.

The deadline magnified this effect. Banks could not simply wait for a quieter week without risking the hedge benefit. Investors knew the issuers’ urgency. That shifted bargaining power toward buyers. The same policy that improved the issuer’s swap economics made its timing less flexible, allowing the bond market to recapture part of the subsidy through wider spreads.

This is a classic example of incidence: the party named in a subsidy is not always the party that retains its full economic value. Some value accrued to banks through cheaper hedging. Some likely reached depositors through better terms. Some reached bond investors through higher spreads as supply crowded. The final distribution depended on market power at each link in the chain.

Three Scenarios After the Window Closes

Scenario 1: A Clean Normalization

The August 31 cutoff passes without market disruption. Banks complete the deposits and swaps already in process, rupee liquidity remains comfortable and offshore issuance slows. Spreads tighten as the supply calendar clears. Lenders that postponed deals can return later on ordinary economics, while early issuers enjoy the funding advantage captured during the window. This is the most benign outcome and would validate the RBI’s decision to end the concession after it met its external-funding objective.

Scenario 2: Funding Becomes More Segmented

Large and state-linked banks retain efficient access to dollar markets, but mid-sized private lenders remain dependent on domestic deposits or more expensive private placements. The system remains stable, yet the funding advantage supports faster growth and stronger margins at the leading institutions. Credit differentiation becomes a competitive force inside Indian banking, potentially reinforcing consolidation and widening the gap between banks with global investor recognition and those without it.

Scenario 3: The Pulled-Forward Boom Creates a Refinance Gap

The program concentrates maturities and funding activity into a narrow period. Several years later, banks face refinancing needs under less favorable global rates or currency conditions. Deposits attracted by the concession prove more rate-sensitive than expected, and institutions must compete to retain them. The original inflow remains useful, but the system discovers that a temporary hedge shifted future funding demand rather than eliminating it.

What Investors Should Monitor

  • New-issue spreads: compare pricing over Treasuries across state-run, large private and mid-sized private banks rather than focusing only on coupons.
  • Secondary performance: bonds that hold or tighten after issuance confirm genuine demand; rapid widening indicates that the primary market cleared too aggressively.
  • FCNR(B) retention: watch whether deposits remain after promotional economics normalize.
  • Swapped rupee cost: the relevant number for a bank is the all-in domestic funding cost, not the dollar coupon alone.
  • Use of proceeds: profitable deployment into lending or liquid assets matters more than the volume raised.
  • Maturity concentration: repeated three- and five-year issuance can create future refinancing clusters.
  • Capital and asset quality: cheap funding cannot compensate for weak underwriting, thin capital or rising non-performing loans.

Investors should also monitor global dollar conditions. If U.S. yields rise or emerging-market risk appetite weakens, Indian bank spreads can widen even when domestic fundamentals remain unchanged. The relationship resembles the mechanism discussed in Block2Learn’s analysis of stock-bond divergence and expensive capital: financing conditions can tighten beneath a resilient headline market.

The Broader Lesson: Price Is the Final Gate

Policy can create a route to funding. It cannot force investors to use that route at a price that works for every borrower. The RBI created an attractive hedge and generated substantial foreign-exchange inflows. Large and familiar institutions converted the opportunity into billions of dollars of debt. Other banks discovered that a lower currency-hedging cost could be offset by a higher credit spread and a compressed execution timetable.

That is the key to interpreting India bank dollar bonds. The withdrawal of several proposed issues does not invalidate the program. It confirms that the market retained its risk function. Investors differentiated among issuers, priced institutional history and demanded compensation when supply became crowded. The central bank changed one input, but the capital market still determined the clearing price.

The episode also warns against treating a successful inflow as permanent funding. A temporary incentive can change behavior quickly because it brings transactions forward. The long-term test begins after the window closes: whether banks preserve deposit relationships, deploy rupee liquidity productively and refinance offshore debt without relying on another concession.

For lenders, discipline means refusing a transaction whose spread consumes the subsidy. For investors, discipline means separating national liquidity support from issuer-specific credit. For policymakers, discipline means ending a program once it has met its goal before success creates a larger distortion. All three were visible in India’s August funding stampede.

Continue Through the Block2Learn Learning Path

Understanding this episode requires more than reading a bond coupon. Investors need to connect currency hedging, credit spreads, deposit behavior, central-bank liquidity, maturity transformation and refinancing risk. A program can look supportive at the macro level while producing very different outcomes across individual balance sheets.

The Block2Learn Learning Path builds those connections progressively. Free Start establishes the language of bonds, banks and currencies. Foundation develops risk, return and capital-allocation principles. The Investor Operating System turns those concepts into a repeatable process for comparing a headline policy benefit with the full funding cost. Wealth Strategy then places credit and currency exposure inside a broader portfolio, while the Framework integrates macroeconomics, market structure and decision discipline.

A cheaper hedge is useful information. The durable investment question is who captures its value, what new risks appear and whether the financing remains sound when the concession disappears. 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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arbitrum-bridged-weth-arbitrum-one
Arbitrum Bridged WETH (Arbitrum One) (WETH) $ 2,265.06 3.52%
zcash
Zcash (ZEC) $ 815.23 3.87%
tether-gold
Tether Gold (XAUT) $ 4,590.99 0.04%
ether-fi-staked-btc
Ether.fi Staked BTC (EBTC) $ 76,722.00 4.00%
ai16z
ai16z (AI16Z) $ 0.000669 78.08%
ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.143338 2.12%
coredaoorg
Core (CORE) $ 0.026322 1.03%
helium
Helium (HNT) $ 0.219561 2.22%
frax
Legacy Frax Dollar (FRAX) $ 0.991032 0.21%
akash-network
Akash Network (AKT) $ 0.550274 1.90%
compound-governance-token
Compound (COMP) $ 19.54 1.12%
meow
MEOW (MEOW) $ 0.000008 13.97%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.009675 0.00%
ecash
eCash (XEC) $ 0.000007 0.47%
chiliz
Chiliz (CHZ) $ 0.01428 2.34%
wormhole
Wormhole (W) $ 0.009669 3.00%
amp-token
Amp (AMP) $ 0.000442 1.41%
ultima
Ultima (ULTIMA) $ 2,293.77 0.79%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.206352 3.73%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.014415 3.89%
resolv-usr
Resolv USR (USR) $ 0.116841 1.97%
pancakeswap-token
PancakeSwap (CAKE) $ 1.76 2.31%
pax-gold
PAX Gold (PAXG) $ 4,594.26 0.00%
gigachad-2
Gigachad (GIGA) $ 0.002999 16.32%
mina-protocol
Mina Protocol (MINA) $ 0.063649 3.43%
gnosis
Gnosis (GNO) $ 120.84 0.65%
pendle
Pendle (PENDLE) $ 1.79 4.06%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.080148 1.22%
echelon-prime
Echelon Prime (PRIME) $ 0.241809 0.49%
zksync
ZKsync (ZK) $ 0.008706 1.22%
paypal-usd
PayPal USD (PYUSD) $ 1.00 0.03%
havven
Synthetix (SNX) $ 0.227127 1.35%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998145 0.01%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,507.50 0.70%
axelar
Axelar (AXL) $ 0.041401 1.55%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000257405 0.78%
snek
Snek (SNEK) $ 0.000423 4.89%
mog-coin
Mog Coin (MOG) $ 0.000000119727 2.71%
telcoin
Telcoin (TEL) $ 0.001923 6.50%
toshi
Toshi (TOSHI) $ 0.000131 2.80%
dydx
dYdX (ETHDYDX) $ 0.117286 0.37%
kava
Kava (KAVA) $ 0.045352 1.01%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000978 0.01%
notcoin
Notcoin (NOT) $ 0.000425 2.20%
chex-token
Chintai (CHEX) $ 0.009526 6.70%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000413 7.83%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.090852 1.76%
trust-wallet-token
Trust Wallet (TWT) $ 0.463893 3.57%
quantixai
Quantix Finance (QFI) $ 24.99 0.02%
grass
Grass (GRASS) $ 0.363913 0.94%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.116524 4.60%
terra-luna
Terra Luna Classic (LUNC) $ 0.000055 2.92%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.092635 0.16%
livepeer
Livepeer (LPT) $ 1.42 2.07%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 1.00 0.30%
creditcoin-2
Creditcoin (CTC) $ 0.089505 2.35%
theta-fuel
Theta Fuel (TFUEL) $ 0.009105 2.23%
oasis-network
Oasis (ROSE) $ 0.006207 2.86%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.021088 1.89%
kusama
Kusama (KSM) $ 3.54 2.36%
bio-protocol
Bio Protocol (BIO) $ 0.029207 3.34%
layerzero
LayerZero (ZRO) $ 1.19 3.77%
blur
Blur (BLUR) $ 0.016332 0.94%
dash
Dash (DASH) $ 39.62 4.61%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000431 4.63%
ordinals
ORDI (ORDI) $ 4.24 0.58%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.139681 2.63%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.16%
freysa-ai
Freysa AI (FAI) $ 0.002905 1.45%
arkham
Arkham (ARKM) $ 0.1138 1.97%
turbo
Turbo (TURBO) $ 0.001 1.11%
popcat
Popcat (POPCAT) $ 0.057976 2.36%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 17.99 0.62%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001316 9.46%
nervos-network
Nervos Network (CKB) $ 0.001011 1.34%
astar
Astar (ASTR) $ 0.005777 6.92%
just
JUST (JST) $ 0.09669 3.78%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.79 3.72%
zilliqa
Zilliqa (ZIL) $ 0.002693 0.06%
verus-coin
Verus (VRSC) $ 0.194136 4.62%
melania-meme
Melania Meme (MELANIA) $ 0.11451 5.81%
holotoken
holo (HOLO) $ 0.000013 3.65%
ai-rig-complex
AI Rig Complex (ARC) $ 0.068269 2.51%
origintrail
OriginTrail (TRAC) $ 0.346257 4.36%
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) $ 0.099108 0.08%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.0000000003788 2.04%
ether-fi
Ether.fi (ETHFI) $ 0.574489 1.03%
safepal
SafePal (SFP) $ 0.266765 1.95%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005039 1.34%
golem
Golem (GLM) $ 0.114017 1.75%
basic-attention-token
Basic Attention (BAT) $ 0.070004 4.75%
swissborg
SwissBorg (BORG) $ 0.187833 9.49%
skale
SKALE (SKL) $ 0.00388 0.32%
wemix-token
WEMIX (WEMIX) $ 0.209012 5.96%
mocaverse
Moca Network (MOCA) $ 0.008501 3.92%
xyo-network
XYO Network (XYO) $ 0.003527 6.62%
gas
Gas (GAS) $ 1.33 0.32%
celo
Celo (CELO) $ 0.076907 0.41%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.853222 0.23%
spell-token
Spell (SPELL) $ 0.000085 1.33%
would
would (WOULD) $ 0.061663 11.42%
vine
Vine (VINE) $ 0.007498 1.40%
zencash
Horizen (ZEN) $ 5.29 3.48%
woo-network
WOO (WOO) $ 0.011659 0.88%
iotex
IoTeX (IOTX) $ 0.002969 1.72%
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) $ 0.000656 1.01%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.014423 4.92%
osmosis
Osmosis (OSMO) $ 0.036605 3.72%
vana
Vana (VANA) $ 0.954579 2.57%
griffain
GRIFFAIN (GRIFFAIN) $ 0.011874 0.36%
zetachain
ZetaChain (ZETA) $ 0.033522 3.87%
uxlink
UXLINK (UXLINK) $ 0.000695 1.12%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.277506 0.36%
ankr
Ankr Network (ANKR) $ 0.004078 0.70%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000094293 8.41%
tribe-2
Tribe (TRIBE) $ 0.389192 1.18%
ravencoin
Ravencoin (RVN) $ 0.003367 3.39%
enjincoin
Enjin Coin (ENJ) $ 0.026624 0.40%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.052363 3.25%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000561 3.28%
aelf
aelf (ELF) $ 0.0621 1.22%
anime
Animecoin (ANIME) $ 0.002698 2.17%
constellation-labs
Constellation (DAG) $ 0.006912 1.67%
polymesh
Polymesh (POLYX) $ 0.035844 6.82%
convex-finance
Convex Finance (CVX) $ 2.44 4.95%
drift-protocol
Drift Protocol (DRIFT) $ 0.012238 0.02%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.000000011522 2.14%
venice-token
Venice Token (VVV) $ 18.28 4.71%
qubic-network
Qubic (QUBIC) $ 0.000000409877 2.86%
coinex-token
CoinEx (CET) $ 0.01239 2.05%
peaq-2
peaq (PEAQ) $ 0.023023 6.35%
threshold-network-token
Threshold Network (T) $ 0.00372 1.38%
stepn
GMT (GMT) $ 0.007193 0.58%
usda-2
USDa (USDA) $ 0.967102 0.00%

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