India’s Closing Auction: Why Better Price Discovery Can Create a 20-Minute Liquidity Trap

India’s new closing auction makes benchmark prices more transparent, while concentrating Nifty expiry, index and liquidity risk into a 20-minute window.

India’s closing auction has changed what the final minutes of the trading day mean. The reform is designed to produce a cleaner official close by replacing a simple volume-weighted calculation with an explicit auction for the country’s most actively traded shares. That sounds like a technical improvement, and in many respects it is. Yet concentrating price discovery also concentrates pressure. On the first monthly Nifty derivatives expiry under the new process, Indian benchmarks moved sharply during the final hour before finishing higher, offering an early view of how cash orders, index futures, hedges and benchmark flows can collide inside a narrow window.

The key risk is not that the auction is badly designed. It is that a better closing mechanism can become the place where every unresolved imbalance is forced to clear at once. Investors should therefore judge the reform on more than the stability of the published closing price. The deeper test is whether liquidity remains available when passive funds, derivatives desks, foreign institutions and local brokers all need the same small set of securities at the same time.

What India changed at the close

India’s securities regulator introduced a dedicated closing auction session for the equity cash market after consulting on the change in 2025. In its January 16, 2026 circular, the Securities and Exchange Board of India framed the reform as a way to make closing-price formation more transparent and to align the market with established international practice. The initial phase applies to securities that have futures and options contracts, precisely the stocks most connected to institutional hedging and index products.

Under the National Stock Exchange framework, the auction runs from 3:15 p.m. to 3:35 p.m. Orders are collected, modified and cancelled before an equilibrium price is determined. The reference price comes from the volume-weighted average during the preceding 15 minutes, and the auction generally operates within a three per cent price band around that reference. Derivatives trading continues afterward until 3:40 p.m., creating an important sequencing question between the cash close and the final futures adjustment.

The old process effectively inferred the close from continuous trading. The new process makes the closing imbalance visible and asks the market to solve it. That improves the informational quality of the close when participation is broad. It also means the official price depends more directly on who shows up, what they need and how much risk other traders are willing to absorb during a compressed period.

Why the closing price matters far beyond one print

A closing price is not merely the last observation on a chart. It is the reference used to value portfolios, calculate index levels, settle derivatives, measure tracking error, mark collateral and report daily performance. A small distortion at the close can therefore propagate through a much larger financial system. Passive funds may transact to match the official index composition, while derivatives dealers hedge exposures tied to the same settlement reference.

This is why many developed markets rely on auctions: pooling liquidity can produce a more defensible benchmark than letting a thin final trade define the day. But the same pooling effect creates a focal point. If a large order cannot be matched naturally, the price must move far enough to attract the other side. Transparency does not eliminate that price concession. It makes the concession observable and rule-bound.

The distinction resembles the wider lesson in market fragmentation and institutional execution: a quoted price is only as reliable as the balance sheets willing to trade around it. Market structure can direct liquidity toward a venue, but it cannot manufacture risk capacity when participants are already positioned the same way.

The first monthly Nifty expiry exposed the pressure point

On August 25, the first monthly Nifty derivatives expiry conducted alongside the new closing auction delivered a useful stress rehearsal. Reuters reported that the Nifty 50 closed 0.48 per cent higher at 24,334.55 and the Sensex gained 0.37 per cent to 77,656.09. Both indices had been up only about 0.2 per cent before the auction, and traders described sharper swings in the final hour as expiry-related positions were adjusted.

The moves were not disorderly, and one session cannot establish a structural verdict. Still, the pattern shows where the system’s sensitivity sits. Futures positions approach settlement, cash baskets need to align, option hedges change rapidly as expiration nears, and auction participants respond to an indicative imbalance rather than a continuous stream of ordinary trades. These demands are related, but they are not identical. Their convergence can create a temporary shortage of the opposite side.

That shortage is the 20-minute liquidity trap. It is not a permanent absence of buyers or sellers. It is a timing mismatch in which too many actors must complete compatible trades during the same narrow interval. A market can be liquid all day and still become expensive to trade at the close because urgency, benchmark rules and settlement mechanics override patience.

Price discovery improves, but execution risk migrates

The closing auction should reduce one familiar problem: an unrepresentative final transaction determining the benchmark. An equilibrium calculation can incorporate a broader set of orders and maximize executable volume. Indicative information also allows participants to react before the final match. These features make manipulation harder to hide and give the market a clearer record of supply and demand.

Yet market reform rarely removes risk; it changes its location. The relevant risks now include auction participation, order timing, cancellation behaviour, broker readiness and the basis between cash and derivatives. An institution that previously spread its closing trade through the last half-hour may now wait for the auction to minimize benchmark slippage. If many institutions make the same rational choice, the shared strategy becomes a crowding mechanism.

This is similar to the infrastructure lesson from India’s tokenized-bond settlement pilot. Faster or more centralized processing can reduce one category of uncertainty while making operational coordination and intraday funding more important. The innovation is real, but so is the need to examine where risk reappears.

The transition gap is a practical weakness

The most immediate operational concern sits between continuous trading and the auction. The cash market stops ordinary trading at 3:15 p.m., while order entry into the closing auction begins after a transition interval. In an August 19 report, Reuters said SEBI asked brokers to accept after-market orders during the 3:15 p.m. to 3:20 p.m. transition from September. The request responds to a simple problem: investors should not discover at the most sensitive point of the day that their broker workflow cannot accept or route an instruction.

A market-wide auction can be robust only if participation is operationally accessible. If some brokers batch orders late, reject modifications or expose confusing indicative prices, the theoretical liquidity pool becomes smaller than it appears. Sophisticated firms with direct connections then gain an advantage over retail and smaller institutional users, not necessarily because they have better investment views, but because they can manage the microstructure more precisely.

The transition issue also makes market orders dangerous when indicative prices move quickly. Investors may believe an auction guarantees execution near the visible reference. In reality, the equilibrium price responds to the final order book, and a market order prioritizes completion over price. Clear broker interfaces, cut-off disclosures and cancellation rules are therefore part of investor protection, not a peripheral technology detail.

Cash-futures basis is the hidden transmission channel

Because derivatives trading continues after the cash auction, a brief sequencing gap can open between the cash close and the final futures price. Normally arbitrage desks keep this basis narrow by buying the cheaper instrument and selling the richer one. On expiry days, however, balance-sheet limits, transaction costs and uncertainty about final settlement can weaken that mechanism exactly when it is most needed.

If the cash auction moves sharply, futures traders must reassess hedges in a few minutes. If futures move first because market participants anticipate an imbalance, cash-auction orders may chase the signal. This feedback loop does not require misconduct. It can emerge from legitimate hedging by many firms using similar models and benchmarks. The result may be a clean official close that nevertheless reflects a temporary scramble rather than a durable change in fundamental value.

Execution discipline matters most when correlations rise and liquidity providers retreat. The practical principles described in Block2Learn’s Trading Layer—planning the order, defining invalidation and separating signal from execution—apply as much to an auction as to continuous trading. A good investment thesis does not protect a portfolio from a poorly timed benchmark trade.

A transparent auction can expose manipulation more clearly

The new structure has already shown an enforcement benefit. On August 19, Reuters reported that SEBI barred two securities firms and impounded 36.8 million rupees in alleged unlawful gains connected to trading during the August 13 Sensex expiry. The regulator alleged aggressive purchases in the index cash basket alongside large sell orders in futures, followed by cancellations. The order did not allege collusion between the two firms.

The case matters because it illustrates both sides of transparency. Concentrated order submission can make suspicious patterns easier to reconstruct: regulators can compare indicative imbalances, cancellations, cash-basket trades and derivatives positions within a defined session. At the same time, the auction’s importance creates an incentive to influence the equilibrium price when a larger derivatives payoff depends on it.

The correct conclusion is not that auctions cause manipulation. Continuous markets can also be manipulated, often with less visible coordination. The relevant question is whether surveillance links cash and derivatives activity in real time and whether penalties outweigh the potential settlement benefit. A strong audit trail is useful only if enforcement can interpret cross-market intent quickly.

The August 31 MSCI rebalance is the real scale test

The next important test is the August 31 MSCI index rebalance. Index changes force passive and benchmark-aware funds to trade near the official close so their portfolios match the new composition. Unlike ordinary discretionary flow, these orders are relatively insensitive to price: a tracker is judged by how closely it follows the index, not by whether it avoided a few basis points of execution cost on a specific stock.

That makes a rebalance the ideal environment for an auction in theory. Large offsetting orders can meet in one pool, reducing information leakage and tracking error. It is also the harshest environment in practice. If additions attract far more buying than natural selling, or deletions attract one-sided liquidation, the equilibrium price must travel to recruit risk capital. Arbitrageurs can provide that capital, but only if financing, stock borrowing and hedging markets are deep enough.

Reuters noted concerns about securities-lending depth as market participants prepared for the transition. This matters because a dealer who wants to sell an auction imbalance may need to borrow stock, while a dealer buying the imbalance may hedge with futures. Constraints in either leg widen the price required to participate. The visible auction book is therefore only the surface of a network that includes financing, borrowing and derivatives liquidity.

Foreign flows make the close more macro-sensitive

India’s auction reform is arriving during a period when global risk variables can change foreign positioning quickly. On August 25, crude oil fell 3.2 per cent to about $89.20 a barrel as markets assessed geopolitical tensions. For an oil-importing economy, that move affects the currency, inflation expectations and the relative appeal of domestic assets. Foreign investors may therefore need to adjust both country exposure and currency hedges near the same close.

When macro news breaks late in the session, the auction becomes the first concentrated clearing point for a new global view. Foreign portfolio investors, domestic mutual funds and derivatives dealers may reach different conclusions, which is healthy. The risk appears when operational or balance-sheet constraints prevent some groups from expressing those views, leaving the closing price dominated by the most urgent flow.

This is why fund-liquidity constraints deserve attention. As the discussion of institutional demand and fund plumbing shows in another market, product design and portfolio mechanics often determine who can respond to an opportunity. A benchmark auction may aggregate orders efficiently while still reflecting asymmetric constraints among participants.

How to read an auction without overreacting

Investors should resist treating every closing-auction move as new fundamental information. The first step is to compare the auction price with the pre-auction reference and the following day’s opening range. A large move that reverses quickly may reflect temporary benchmark demand. A move that persists, attracts volume and is confirmed across related securities carries more informational weight.

The second step is to examine breadth. If one index heavyweight moves while the broader sector is stable, a stock-specific order or index-weight effect may be responsible. If many constituents shift together with futures and the currency, the auction is more likely transmitting a macro repricing. Volume alone is insufficient; it must be interpreted alongside the direction and concentration of the imbalance.

The third step is to separate auction impact from trend. A portfolio manager who wants long-term exposure should not let a one-day closing dislocation dictate the investment case. But an execution desk cannot ignore it. The same price can be noise for a fundamental analyst and a costly benchmark miss for a trader. Time horizon determines relevance.

What would signal that the reform is working

A successful closing auction should show several patterns over time. Executed volume should broaden beyond a handful of institutions. Indicative imbalances should converge rather than oscillate wildly. Cash-futures basis should remain controlled into the derivatives close. Cancellation rates should be explainable by normal price discovery rather than repeated attempts to create false pressure.

Most importantly, tracking error and closing-price volatility should improve on ordinary days without producing unacceptable dislocations on expiry and rebalance days. Averages can hide tail events, so regulators and exchanges should publish distributions: price impact by security, order concentration, unmatched volume, cancellation behaviour and the relationship between indicative and final prices.

The NSE already provides a closing-auction historical-data route. Consistent, accessible data will allow brokers, academics and asset managers to test whether the mechanism improves benchmark quality. Transparency about the auction itself should be matched by transparency about its results.

What could force another design adjustment

Several warning signs would justify refinement. Repeated basis spikes on expiry days would suggest insufficient coordination between cash and derivatives schedules. Persistent one-sided imbalances in specific stocks could point to index construction or securities-lending constraints. High rejection rates at brokers would reveal an access problem. Duplicate or confusing order states during the transition would create operational risk.

Possible responses include clearer indicative-price dissemination, improved broker order acceptance, shorter or better-defined transition windows and deeper securities-lending facilities. None should be adopted after one volatile session. Rule changes alter participant behaviour, and the market needs time to develop specialist liquidity around the close. The objective should be iterative calibration based on evidence, not a return to an opaque benchmark.

The investment takeaway

A practical checklist for the next auction stress test

Before a major expiry or index rebalance, professional investors can reduce avoidable execution risk by treating the close as a scheduled market event rather than an ordinary last trade. The first question is whether an order truly needs the official auction price. A passive tracker often does, because benchmark accuracy is the mandate. A discretionary portfolio usually has more freedom and may be able to split an order between continuous trading and the auction. That decision should be made before the final hour, not while the indicative imbalance is moving.

The second question is how the broker handles the transition. Investors should know when orders are accepted, when they become visible, which instructions can be modified, how market orders are protected and what happens if the auction does not produce a match. A screen that displays an indicative price without explaining its timestamp or executable status can create false confidence. Operational clarity is especially important for smaller institutions that do not have a direct exchange connection.

The third question is whether the portfolio has linked exposures. Selling an index constituent while holding options, futures or currency hedges can produce an unintended basis position if the legs close at different times. The cash order may execute perfectly while the hedge becomes more expensive during the remaining derivatives window. Measuring the combined transaction, rather than grading each leg separately, gives a more honest view of execution quality.

Finally, investors should preserve the auction data needed for review: the pre-auction reference, indicative prices, imbalance direction, submitted and executed quantities, final equilibrium price, relevant futures levels and the next session’s opening trade. This record helps distinguish a genuine market repricing from temporary benchmark pressure. It also turns an unfamiliar process into a repeatable decision framework. The goal is not to predict every closing move, but to prevent urgency and incomplete information from becoming hidden portfolio costs.

India’s closing auction is a meaningful modernization of market infrastructure. It should improve the defensibility of closing prices, concentrate natural liquidity and make suspicious behaviour easier to detect. But it also turns the close into a more consequential event. Liquidity, basis risk, broker operations and cross-market surveillance now matter more during a defined 20-minute session.

The first Nifty monthly expiry showed that the mechanism can handle substantial flow without obvious disorder, while also revealing sharper late-session sensitivity. The August 31 MSCI rebalance will provide a stronger test because benchmark-driven orders are larger and less price-sensitive. A resilient auction should absorb those orders with transparent price movement, one clear closing print and limited distortion between cash and futures.

The broad lesson is simple: better price discovery does not mean effortless price discovery. A closing auction can improve the benchmark precisely because it forces hidden supply and demand into the open. Investors should welcome that transparency while respecting the liquidity trap it can expose. The most useful signal will not be whether the close moves, but whether the market can explain, finance and reverse-engineer that move without losing confidence in the process.

Build the market-structure foundation

Closing auctions sit at the intersection of order types, liquidity, derivatives and benchmark construction. To place this reform in a broader framework, continue through the Block2Learn Learning Path and connect market structure with risk management before applying the ideas to a live portfolio.

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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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Amp (AMP) $ 0.000509 20.33%
ultima
Ultima (ULTIMA) $ 2,351.76 0.82%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.214354 5.81%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.014613 7.16%
resolv-usr
Resolv USR (USR) $ 0.122013 4.89%
pancakeswap-token
PancakeSwap (CAKE) $ 1.74 0.95%
pax-gold
PAX Gold (PAXG) $ 4,635.26 0.31%
gigachad-2
Gigachad (GIGA) $ 0.002914 21.61%
mina-protocol
Mina Protocol (MINA) $ 0.059381 2.34%
gnosis
Gnosis (GNO) $ 123.49 0.01%
pendle
Pendle (PENDLE) $ 1.77 2.85%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.083157 0.26%
echelon-prime
Echelon Prime (PRIME) $ 0.233142 0.51%
zksync
ZKsync (ZK) $ 0.008823 2.63%
paypal-usd
PayPal USD (PYUSD) $ 0.999884 0.01%
havven
Synthetix (SNX) $ 0.233227 1.01%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998281 0.01%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,477.58 0.54%
axelar
Axelar (AXL) $ 0.041915 0.08%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000277407 0.50%
snek
Snek (SNEK) $ 0.000431 2.29%
mog-coin
Mog Coin (MOG) $ 0.000000117932 0.21%
telcoin
Telcoin (TEL) $ 0.001815 3.86%
toshi
Toshi (TOSHI) $ 0.000133 2.09%
dydx
dYdX (ETHDYDX) $ 0.116654 1.81%
kava
Kava (KAVA) $ 0.046146 2.92%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000986 0.80%
notcoin
Notcoin (NOT) $ 0.000415 0.56%
chex-token
Chintai (CHEX) $ 0.009958 1.01%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000389 2.14%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.090699 0.24%
trust-wallet-token
Trust Wallet (TWT) $ 0.452298 5.92%
quantixai
Quantix Finance (QFI) $ 20.00 149.18%
grass
Grass (GRASS) $ 0.355537 2.15%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.116222 1.79%
terra-luna
Terra Luna Classic (LUNC) $ 0.000055 0.81%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.092316 1.74%
livepeer
Livepeer (LPT) $ 1.43 0.66%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 0.998366 0.40%
creditcoin-2
Creditcoin (CTC) $ 0.088973 1.71%
theta-fuel
Theta Fuel (TFUEL) $ 0.008823 2.70%
oasis-network
Oasis (ROSE) $ 0.006034 3.20%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.021096 0.22%
kusama
Kusama (KSM) $ 3.58 2.67%
bio-protocol
Bio Protocol (BIO) $ 0.029686 1.43%
layerzero
LayerZero (ZRO) $ 1.06 9.07%
blur
Blur (BLUR) $ 0.016533 0.56%
dash
Dash (DASH) $ 41.51 1.22%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000435 2.23%
ordinals
ORDI (ORDI) $ 4.14 0.62%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.140485 2.17%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.29%
freysa-ai
Freysa AI (FAI) $ 0.002893 2.02%
arkham
Arkham (ARKM) $ 0.113194 0.36%
turbo
Turbo (TURBO) $ 0.001024 0.60%
popcat
Popcat (POPCAT) $ 0.063879 11.80%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.13 1.73%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001272 16.85%
nervos-network
Nervos Network (CKB) $ 0.000988 0.05%
astar
Astar (ASTR) $ 0.005422 0.90%
just
JUST (JST) $ 0.100117 0.21%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.68 1.47%
zilliqa
Zilliqa (ZIL) $ 0.002797 1.42%
verus-coin
Verus (VRSC) $ 0.21169 5.77%
melania-meme
Melania Meme (MELANIA) $ 0.104828 3.62%
holotoken
holo (HOLO) $ 0.000012 0.97%
ai-rig-complex
AI Rig Complex (ARC) $ 0.0728 5.52%
origintrail
OriginTrail (TRAC) $ 0.358599 4.15%
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) $ 0.098182 0.16%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000037514 0.26%
ether-fi
Ether.fi (ETHFI) $ 0.600247 5.53%
safepal
SafePal (SFP) $ 0.266097 2.42%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005082 4.98%
golem
Golem (GLM) $ 0.110583 0.67%
basic-attention-token
Basic Attention (BAT) $ 0.068878 1.40%
swissborg
SwissBorg (BORG) $ 0.176364 2.54%
skale
SKALE (SKL) $ 0.003949 0.18%
wemix-token
WEMIX (WEMIX) $ 0.19633 0.18%
mocaverse
Moca Network (MOCA) $ 0.008224 2.51%
xyo-network
XYO Network (XYO) $ 0.003318 0.53%
gas
Gas (GAS) $ 1.25 2.55%
celo
Celo (CELO) $ 0.077111 2.15%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.863423 1.85%
spell-token
Spell (SPELL) $ 0.00009 5.21%
would
would (WOULD) $ 0.058329 4.04%
vine
Vine (VINE) $ 0.007706 2.97%
zencash
Horizen (ZEN) $ 5.32 4.30%
woo-network
WOO (WOO) $ 0.011619 1.86%
iotex
IoTeX (IOTX) $ 0.00286 1.04%
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) $ 0.000654 1.23%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.013509 0.49%
osmosis
Osmosis (OSMO) $ 0.036195 0.36%
vana
Vana (VANA) $ 1.01 1.43%
griffain
GRIFFAIN (GRIFFAIN) $ 0.011939 3.87%
zetachain
ZetaChain (ZETA) $ 0.032983 1.56%
uxlink
UXLINK (UXLINK) $ 0.000781 10.51%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.278816 0.29%
ankr
Ankr Network (ANKR) $ 0.004076 0.93%
akuma-inu
Akuma Inu (AKUMA) $ 0.00000008306 9.28%
tribe-2
Tribe (TRIBE) $ 0.386746 0.35%
ravencoin
Ravencoin (RVN) $ 0.003309 0.02%
enjincoin
Enjin Coin (ENJ) $ 0.027348 3.38%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.051775 0.14%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000543 1.62%
aelf
aelf (ELF) $ 0.059105 9.77%
anime
Animecoin (ANIME) $ 0.002721 2.60%
constellation-labs
Constellation (DAG) $ 0.007597 5.15%
polymesh
Polymesh (POLYX) $ 0.03456 1.94%
convex-finance
Convex Finance (CVX) $ 2.11 0.54%
drift-protocol
Drift Protocol (DRIFT) $ 0.012211 0.03%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.000000012027 0.71%
venice-token
Venice Token (VVV) $ 17.08 1.19%
qubic-network
Qubic (QUBIC) $ 0.00000042348 0.78%
coinex-token
CoinEx (CET) $ 0.012159 0.50%
peaq-2
peaq (PEAQ) $ 0.021765 12.70%
threshold-network-token
Threshold Network (T) $ 0.003761 0.21%
stepn
GMT (GMT) $ 0.007592 3.18%
usda-2
USDa (USDA) $ 0.967102 0.00%

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