B2L Market Focus: China’s Robotics IPO Speculation Is Front-Loading a Decade of Adoption

Unitree’s spectacular Shanghai debut could accelerate capital formation across China’s robotics ecosystem, from IPO candidates to component suppliers. The harder test is whether listed funding can convert demonstrations and data collection into repeatable commercial productivity before valuation and capacity outrun demand.

China has spent years treating humanoid robotics as industrial policy. On 19 August, public markets turned that policy into a spectacular price. Unitree Robotics closed its first Shanghai session at 845 yuan, 460% above its 150.8 yuan offer price, even as the CSI 300 fell 3%. That divergence makes China robotics IPO speculation more than a story about one crowded debut. It is a test of whether listed capital can accelerate a manufacturing ecosystem before paying customers have validated the scale of demand implied by the valuation.

The core mechanism runs in four stages. Beijing’s strategic support, standards and application programs reduce the perceived policy risk around embodied intelligence. A nationally visible champion then converts that support into a liquid public-market security. The extraordinary first-day premium gives competitors, suppliers and local governments a market signal that more capital may be available. That capital can fund research, components, factories and data collection—but it can also finance duplicated capacity faster than commercial use cases mature.

This Market Focus is therefore not a forecast for Unitree’s share price. The public float is small, the first trading day is unusually noisy and conventional valuation anchors are weak. The more useful question is what the debut changes for capital allocation across Chinese technology equities, robotics supply chains and the next group of IPO candidates. The answer is conditional: the listing can create a genuine funding flywheel, but only if deployments migrate from demonstrations and data collection into repeatable, productive work.

China robotics IPO speculation outran the broad market

The verified market facts are unusually stark. Reuters reported from the Shanghai debut that Unitree opened at 1,100 yuan and closed at 845 yuan, leaving the stock 460% above the IPO price and the company valued at roughly $50 billion. The offering sold about 10% of the company and raised around $900 million. By contrast, the CSI 300 declined 3% during the same session, while global technology shares were under pressure.

A first-day move of that size cannot be interpreted as a clean discounted-cash-flow verdict. Limited float, allocation scarcity, retail demand, national visibility and the absence of many listed pure-play alternatives all matter. Reuters noted that the rise exceeded the average 279% first-day gain for Chinese listings in 2026. The premium therefore contains at least three prices at once: the price of Unitree’s current business, the price of a rare listed robotics option and the price investors are willing to pay for exposure to a state-prioritized industry.

The scarcity element matters because many peers are still private or preparing listings. Unitree is profitable, which distinguishes it from much of the young humanoid sector, but few of its machines are used in commercial environments. Many sales remain one-off purchases by universities and research institutions. A listed security can be liquid even when the underlying application market is not. That mismatch is the starting point for the capital-rotation thesis.

From industrial policy to a public-market funding flywheel

Industrial policy changes investor behavior when it does more than announce an ambition. It must lower coordination costs across standards, financing, infrastructure and customers. China has been building that architecture around robotics. The policy signal is visible in national priorities, municipal testing grounds, standards committees, application competitions and procurement experiments. Each layer reduces a different uncertainty: what technical interfaces should be used, where products can be tested, how machines will be governed and which industries might become early buyers.

Public equity adds another layer. An IPO gives a robotics company permanent capital without the fixed repayment schedule of debt. A high market capitalization can support recruitment, supplier contracts, acquisitions and future financing. It can also provide a valuation reference for private peers. Reuters identified Deep Robotics, Leju Robotics, Mech-Mind Robotics, X Square Robot and AgiBot among companies pursuing mainland or Hong Kong listings. Once a champion receives a spectacular multiple, every neighboring company can present itself to investors as part of the same strategic curve.

The result can be a reflexive loop: policy legitimacy attracts capital; capital funds scale and experimentation; visible scale reinforces the policy narrative; and the narrative attracts more capital. A productive loop creates falling unit costs, better components and repeatable applications. An unproductive loop creates factories, promotional demonstrations and overlapping research programs that depend on continued financing. The difference is not visible in a first-day share price. It emerges in orders, utilization, gross margins, service revenue and customer renewal.

The industrial foundation is real, even if the humanoid premium is early

The speculative component should not obscure China’s existing automation base. The International Federation of Robotics’ World Robotics 2025 data show that 542,000 industrial robots were installed globally in 2024. China installed 295,000, or 54% of the total, and its operational stock exceeded two million. Chinese suppliers captured 57% of their home market, up from a much smaller share over the prior decade. Humanoid robotics is emerging inside the world’s largest installed industrial-robot ecosystem, not on an empty policy canvas.

That base creates practical advantages. Component makers already serve motors, reducers, sensors, machine vision and factory automation. Manufacturers understand cost engineering, tooling and supply-chain iteration. Industrial customers can offer controlled environments for early deployment. Universities and data centers can train motion models. Local governments can coordinate pilot sites. These capabilities do not guarantee that a bipedal form is economically superior for a given task, but they reduce the distance between a prototype and a manufacturable product.

The distinction between industrial robots and humanoids remains important. A fixed robotic arm can be faster, cheaper and safer for a repetitive process. A wheeled platform may move goods more efficiently than a biped. Humanoids become economically interesting when customers need machines to operate in spaces, with tools and workflows designed for people, or when flexibility offsets lower task-specific efficiency. Investors who extrapolate China’s industrial-robot dominance directly into humanoid profits skip this substitution test.

Standards are becoming market infrastructure

One underappreciated part of the funding story is standards. China released a national system for humanoid robotics and embodied intelligence in March. The officially reported framework covers six areas: common foundations, intelligent computing, limbs and components, complete machines and systems, applications, and safety and ethics. More than 120 institutions, companies and industrial users participated. The same report said more than 140 domestic manufacturers had released over 330 models during 2025.

Standards do not create demand by themselves. They can, however, lower the cost of evaluating suppliers and integrating products. A factory considering several robotics vendors needs predictable safety rules, data practices, maintenance procedures and component interfaces. Investors also benefit because common definitions make companies more comparable. The financial effect is indirect but significant: standardization can convert a collection of experiments into an investable industry category by making technical and regulatory risk easier to price.

Beijing has gone further by launching a full-lifecycle management platform. The municipal government’s June announcement describes an identity system covering research, manufacture, market approval, sales, maintenance, decommissioning and recycling. Each humanoid can receive a unique 29-character code. This is governance infrastructure, but it may also become commercial infrastructure: traceability can improve warranty management, safety accountability, fleet maintenance and residual-value assessment.

The missing bridge is repeatable commercial use

The gap between technical progress and commercial adoption is where valuation risk concentrates. At the World Robot Conference, companies demonstrated logistics, parcel sorting, phone packaging, education and factory handling. Reuters’ report from the event said more than 300 companies displayed over 2,000 exhibits and introduced more than 150 products. Yet large-scale adoption beyond pilots remains limited.

That gap is not evidence that the technology has failed. New industrial systems often move through demonstrations, constrained pilots and supervised deployments before broad adoption. The problem for investors is timing. A robot can perform a task at a conference without meeting a customer’s requirements for uptime, safety, integration, maintenance, total cost and return on capital. Commercial readiness is a system property, not a viral-video property.

Reuters cited an analyst estimate that 50% to 70% of humanoids produced in 2026 could end up in “data factories,” collecting training data rather than doing productive work for paying customers. It also quoted an industry executive who thought broad adoption could take roughly a decade. Those estimates are uncertain, but they identify the correct accounting question: is a shipped unit generating customer productivity, or is it helping the supplier train a future product?

The distinction affects revenue quality. Research sales and data-collection deployments can finance development, but they may not repeat at the same rate. Productive fleets can generate service contracts, software fees, spare-parts demand and expansion orders. The market is currently assigning substantial value to the transition between those two revenue models. Evidence of customer renewal will matter more than the number of choreographed demonstrations.

Why the World Robot Conference matters to capital allocation

The timing of Unitree’s listing alongside the World Robot Conference amplifies the market signal. The official conference program includes more than product showcases. It introduces a global application-exploration program designed to place mass-produced robots with teams for trials, plus a consumer street where robots perform food and retail tasks. These programs attempt to shorten the path from demonstration to use-case discovery.

For venture and public investors, conferences can operate as coordination markets. Suppliers see which components attract attention. Customers compare capabilities. Local governments identify firms for pilot programs. Employees assess where to work. Banks and underwriters find the next financing candidates. When a blockbuster IPO occurs simultaneously, the event’s commercial promises receive a visible valuation benchmark.

That does not mean every exhibitor deserves a public listing. It means the expected financing constraint has changed. A company that previously planned around private venture rounds may now see a route to domestic equity markets. This can accelerate product road maps and hiring, but it can also make capital discipline harder. When equity is abundant, management teams face less immediate pressure to abandon weak designs or narrow their product portfolios.

Cross-market transmission: from Unitree to suppliers and tech multiples

The first transmission channel is the IPO pipeline. Unitree’s valuation provides a new comparable for private robotics companies. Underwriters can point to demand, founders can negotiate from a stronger position and early investors can see a clearer exit path. Mainland IPO proceeds have already reached $21.3 billion in 2026, more than triple the prior-year period according to Reuters and LSEG data. Robotics can attract a larger share of that issuance if investors treat the debut as a sector signal rather than a one-off scarcity event.

The second channel is the component supply chain. Humanoids require actuators, reducers, motors, sensors, batteries, compute, cameras and precision manufacturing. A funding wave can increase orders before finished-product economics are fully proven because developers need prototypes and pilot fleets. That makes upstream earnings an early indicator, but not all suppliers benefit equally. Commoditized components may face price pressure as capacity rises, while specialized components with high qualification costs can retain pricing power.

The third channel is the valuation of Chinese technology. Unitree’s move occurred while broad tech shares were falling. That suggests capital was not simply buying beta; it was paying for thematic scarcity. The pattern resembles the selective technology rotation described in Block2Learn’s review of Q2 institutional filings: investors can reduce exposure to one crowded technology segment while adding exposure to another with a fresher capital-expenditure narrative.

The fourth channel is the cost of AI infrastructure. Embodied intelligence connects models to physical systems, so it extends the demand chain from compute into motors, batteries, factories and logistics. Block2Learn has already examined how AI investment is reshaping corporate funding and how hardware bottlenecks alter the pace of deployment. Robotics adds another capital-intensive layer in which financing availability and supply-chain throughput can matter as much as model quality.

Geopolitics can redirect the flywheel without stopping it

Unitree’s opportunity is also constrained by the U.S.-China technology conflict. Reuters reported that the U.S. Federal Communications Commission banned imports of future models of foreign-made humanoid and quadruped robots in July, citing national-security concerns. The Pentagon added Unitree to a list of companies it considers connected to China’s military industrial base. Unitree has said its robots are intended for civilian use.

The restriction can lower the addressable overseas market, but it may also redirect capital toward domestic substitution and non-U.S. markets. More than 40% of Unitree’s 2025 revenue came from overseas according to public reporting, so market access is not a secondary issue. Investors must separate the value of a strong domestic ecosystem from the value of a globally open sales channel. A company can dominate one and still face a material discount in the other.

The domestic redirection also sits inside a broader reallocation of Chinese growth capital. Block2Learn’s analysis of China’s two-speed price regime showed why weak property demand does not translate mechanically into deflation across strategic manufacturing. Robotics is one destination for resources leaving older growth engines, but the transition raises the same question: whether new capacity creates durable productivity or another cycle of excess supply.

Geopolitical barriers also affect components. Export controls can constrain advanced compute or specialized manufacturing equipment, while procurement restrictions can limit customer access. At the same time, barriers encourage duplicated supply chains and policy financing. The result is not necessarily less capital spending. It can be more spending with lower global efficiency, as each bloc funds alternative suppliers, standards and distribution networks.

What the market appears to have priced—and what it may be missing

The first-day premium appears to price leadership, scarcity and strategic importance. It assumes Unitree can convert technical visibility into persistent market share and that China can build a humanoid ecosystem with the speed it brought to electric vehicles and industrial automation. It also prices access to future optionality: new applications, lower unit costs, software revenue and a broader capital market for robotics.

What may be underpriced is the difference between manufacturing scale and economic utilization. A fleet can be large but unproductive. A robot can be capable but uneconomic after maintenance, supervision and integration. A supplier can report rapid revenue growth while customers are funded by subsidies or pilots rather than recurring budgets. These are not arguments against the technology; they are reminders that adoption has several balance sheets.

The market may also be underpricing competition. China’s EV experience demonstrates how industrial policy and manufacturing depth can create global leaders, but it also demonstrates price wars, consolidation and weak returns for late entrants. If dozens of robotics companies pursue similar humanoid designs, capital can lower prices and accelerate learning while destroying margins. Consumers may win before shareholders do.

A final underpriced variable is corporate governance under abundance. Scarce capital forces prioritization. Abundant capital can support valuable long-horizon research, but it can also delay necessary exits from uncompetitive products. The quality of capital allocation—how much goes to differentiated engineering, reliable manufacturing and customer integration versus capacity and promotion—will determine whether the IPO wave compounds value or merely distributes it across more claimants.

Three conditional paths for China’s robotics capital rotation

Productive flywheel: pilots become fleets

In the constructive path, Unitree and peers convert showcase tasks into repeatable factory, logistics and service deployments. Uptime rises, integration costs fall and customers reorder. Standards and lifecycle tracking reduce operational risk. IPO proceeds fund components, manufacturing and software that lower total cost. Supplier earnings broaden, more companies list and capital becomes increasingly selective because investors can compare real operating metrics. The sector’s valuation remains high, but it is supported by a growing base of productive assets.

Long bridge: technical progress outruns customer budgets

In the middle path, robots improve quickly but remain concentrated in research, data collection and supervised pilots. Capital stays available because policy support and technological progress are visible, yet revenue quality develops slowly. Public-market volatility rises as each product demonstration or order is treated as evidence for broad adoption. Suppliers with diversified industrial demand outperform pure humanoid exposure. Consolidation begins, but strong balance sheets let leading firms keep investing through the gap.

Speculative overshoot: capacity arrives before use cases

In the adverse path, high valuations attract too many entrants and too much overlapping capacity. Price competition compresses margins before software and service revenue mature. Pilot customers do not renew at scale, overseas restrictions narrow demand and capital markets become less willing to fund losses. The industrial ecosystem still advances—components get cheaper and some technology survives—but public shareholders discover that social and strategic value do not automatically produce attractive returns.

What would invalidate the thesis?

The thesis would weaken if the debut proves isolated. If robotics peers cannot list, supplier shares do not respond and private funding terms remain unchanged, Unitree’s move will look more like a scarcity squeeze than a sector-wide capital rotation. It would also weaken if commercial orders accelerate so quickly that the current valuation is better explained by near-term earnings than by distant optionality.

Evidence of repeatable productivity would be the most important counterargument. Multi-site deployments, high utilization, transparent payback periods and customer renewals would narrow the gap between price and adoption. Conversely, rising inventories, falling prices without volume growth, repeated local subsidies and a high share of machines used only for data collection would strengthen the overcapacity risk.

Investors should also watch whether standards create interoperability or lock-in. Common safety and lifecycle rules can lower adoption costs. Proprietary interfaces can fragment the market and increase integration expenses. The policy architecture is bullish only if it helps customers buy and operate robots more confidently, not merely if it produces more documents and demonstration zones.

The operating dashboard that matters next

  • Commercial deployment: paid fleets, repeat orders, utilization and uptime rather than showcase attendance.
  • Revenue quality: the mix of productive customers, research institutions, data factories, software, services and one-off hardware.
  • Unit economics: gross margin, service burden, maintenance cost and customer payback as production scales.
  • IPO transmission: listing approvals, fundraising terms and valuation discipline for the next robotics candidates.
  • Supplier breadth: whether orders and earnings spread across actuators, sensors, batteries and precision components.
  • Policy conversion: procurement, application trials and standards that reduce customer risk rather than simply expand capacity.
  • Market access: the share of overseas revenue and the effect of U.S. restrictions on future products and components.
  • Competitive intensity: price cuts, inventories, consolidation and whether domestic entrants differentiate or converge.

These indicators should be read together. More shipments are not automatically bullish if utilization and margins fall. Lower prices are not automatically bearish if they unlock a much larger customer base. A new IPO is not automatically evidence of a bubble if proceeds finance differentiated capability. The question is whether capital is buying time for productive learning or postponing the recognition of weak demand.

Market Focus conclusion

Unitree’s debut has changed the financing environment before it has settled the commercial argument. The 460% first-day close says investors are willing to pay heavily for scarce exposure to China’s embodied-intelligence strategy. It does not prove that humanoid robots have crossed from technical spectacle into broad economic productivity.

The real significance of China robotics IPO speculation lies in transmission. A high public valuation can fund factories and models, pull competitors toward exchanges, raise the price of private capital and send orders into the component chain. That process may help create the customers and cost curve needed to justify today’s optimism. It may also create capacity and competition faster than demand can absorb them.

The next phase will be decided away from the opening auction: in factory uptime, renewal orders, service margins, integration costs and the quality of the next listings. If those metrics improve, Unitree’s IPO will look like the start of a productive capital flywheel. If they do not, the same debut may become the moment markets priced a decade of adoption into a single day.


This analysis is educational and does not constitute investment advice. Scenarios are conditional frameworks, not forecasts or recommendations.

Continue learning: use the Block2Learn Learning Path to build a structured framework for understanding capital allocation, industrial policy and cross-market transmission.

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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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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) $ 0.047028 4.49%
reserve-rights-token
Reserve Rights (RSR) $ 0.001432 2.55%
arbitrum-bridged-weth-arbitrum-one
Arbitrum Bridged WETH (Arbitrum One) (WETH) $ 2,265.06 3.52%
zcash
Zcash (ZEC) $ 773.90 8.32%
tether-gold
Tether Gold (XAUT) $ 4,621.73 1.13%
ether-fi-staked-btc
Ether.fi Staked BTC (EBTC) $ 76,722.00 4.00%
ai16z
ai16z (AI16Z) $ 0.000387 20.83%
ether-fi-staked-eth
ether.fi Staked ETH (EETH) $ 2,317.47 1.05%
apecoin
ApeCoin (APE) $ 0.141235 4.36%
coredaoorg
Core (CORE) $ 0.024725 2.23%
helium
Helium (HNT) $ 0.204328 5.73%
frax
Legacy Frax Dollar (FRAX) $ 0.992151 0.02%
akash-network
Akash Network (AKT) $ 0.55544 3.67%
compound-governance-token
Compound (COMP) $ 19.28 2.59%
meow
MEOW (MEOW) $ 0.000007 3.83%
usdx-money-usdx
Stables Labs USDX (USDX) $ 0.009526 0.00%
ecash
eCash (XEC) $ 0.000007 4.35%
chiliz
Chiliz (CHZ) $ 0.014064 3.43%
wormhole
Wormhole (W) $ 0.009344 4.65%
amp-token
Amp (AMP) $ 0.000457 6.34%
ultima
Ultima (ULTIMA) $ 2,344.95 1.21%
eigenlayer
EigenCloud (prev. EigenLayer) (EIGEN) $ 0.207069 7.18%
pumpbtc
pumpBTC (PUMPBTC) $ 76,077.00 2.54%
deep
DeepBook (DEEP) $ 0.013898 3.31%
resolv-usr
Resolv USR (USR) $ 0.117885 3.28%
pancakeswap-token
PancakeSwap (CAKE) $ 1.71 3.78%
pax-gold
PAX Gold (PAXG) $ 4,629.34 1.16%
gigachad-2
Gigachad (GIGA) $ 0.002629 8.87%
mina-protocol
Mina Protocol (MINA) $ 0.060673 0.93%
gnosis
Gnosis (GNO) $ 120.42 2.43%
pendle
Pendle (PENDLE) $ 1.73 2.58%
bitcoin-avalanche-bridged-btc-b
Avalanche Bridged BTC (Avalanche) (BTC.B) $ 76,260.00 3.16%
beldex
Beldex (BDX) $ 0.082452 0.80%
echelon-prime
Echelon Prime (PRIME) $ 0.235581 2.30%
zksync
ZKsync (ZK) $ 0.008773 2.87%
paypal-usd
PayPal USD (PYUSD) $ 0.999934 0.00%
havven
Synthetix (SNX) $ 0.22796 1.73%
coinbase-wrapped-staked-eth
Coinbase Wrapped Staked ETH (CBETH) $ 2,539.40 3.57%
true-usd
TrueUSD (TUSD) $ 0.998099 0.03%
stakestone-berachain-vault-token
StakeStone Berachain Vault Token (BERASTONE) $ 2,442.72 1.98%
axelar
Axelar (AXL) $ 0.040283 4.37%
tbtc
tBTC (TBTC) $ 70,942.00 7.49%
apenft
AINFT (NFT) $ 0.000000276603 0.83%
snek
Snek (SNEK) $ 0.000423 2.08%
mog-coin
Mog Coin (MOG) $ 0.000000114132 4.62%
telcoin
Telcoin (TEL) $ 0.001815 2.98%
toshi
Toshi (TOSHI) $ 0.000129 4.06%
dydx
dYdX (ETHDYDX) $ 0.116549 0.65%
kava
Kava (KAVA) $ 0.045478 1.26%
polygon-pos-bridged-weth-polygon-pos
Polygon PoS Bridged WETH (Polygon POS) (WETH) $ 2,261.63 3.58%
newton-project
AB (AB) $ 0.000975 1.11%
notcoin
Notcoin (NOT) $ 0.000408 3.64%
chex-token
Chintai (CHEX) $ 0.009964 0.68%
bridged-usdc-polygon-pos-bridge
Polygon Bridged USDC (Polygon PoS) (USDC.E) $ 0.99972 0.00%
vethor-token
VeThor (VTHO) $ 0.000372 1.58%
frax-ether
Frax Ether (FRXETH) $ 2,262.16 2.20%
1inch
1INCH (1INCH) $ 0.089296 2.30%
trust-wallet-token
Trust Wallet (TWT) $ 0.458614 7.99%
quantixai
Quantix Finance (QFI) $ 20.18 104.23%
grass
Grass (GRASS) $ 0.329817 8.37%
stader-ethx
Stader ETHx (ETHX) $ 2,455.55 2.19%
superfarm
SuperVerse (SUPER) $ 0.113901 5.25%
terra-luna
Terra Luna Classic (LUNC) $ 0.000053 2.87%
sweth
Swell Ethereum (SWETH) $ 2,521.55 3.25%
safe
Safe (SAFE) $ 0.08934 4.40%
livepeer
Livepeer (LPT) $ 1.39 2.93%
hashnote-usyc
Circle USYC (USYC) $ 1.14 0.01%
usdb
USDB (USDB) $ 0.999183 0.25%
creditcoin-2
Creditcoin (CTC) $ 0.088059 2.73%
theta-fuel
Theta Fuel (TFUEL) $ 0.008863 1.01%
oasis-network
Oasis (ROSE) $ 0.005877 4.92%
super-oeth
Super OETH (SUPEROETH) $ 2,263.65 2.59%
aixbt
aixbt (AIXBT) $ 0.020888 4.02%
kusama
Kusama (KSM) $ 3.48 4.70%
bio-protocol
Bio Protocol (BIO) $ 0.029194 1.82%
layerzero
LayerZero (ZRO) $ 1.19 7.87%
blur
Blur (BLUR) $ 0.016299 2.53%
dash
Dash (DASH) $ 38.15 10.75%
cat-in-a-dogs-world
cat in a dogs world (MEW) $ 0.000414 6.92%
ordinals
ORDI (ORDI) $ 4.13 3.45%
solayer-staked-sol
Solayer Staked SOL (SSOL) $ 112.14 4.30%
io
io.net (IO) $ 0.138093 5.62%
ondo-us-dollar-yield
Ondo US Dollar Yield (USDY) $ 1.14 0.02%
freysa-ai
Freysa AI (FAI) $ 0.002835 3.77%
arkham
Arkham (ARKM) $ 0.109919 3.61%
turbo
Turbo (TURBO) $ 0.000988 3.59%
popcat
Popcat (POPCAT) $ 0.058693 1.77%
binance-peg-busd
Binance-Peg BUSD (BUSD) $ 1.00 0.05%
olympus
Olympus (OHM) $ 18.11 0.94%
dog-go-to-the-moon-rune
Dog (Bitcoin) (DOG) $ 0.001218 5.88%
nervos-network
Nervos Network (CKB) $ 0.000962 3.87%
astar
Astar (ASTR) $ 0.005478 1.42%
just
JUST (JST) $ 0.099506 1.77%
compound-wrapped-btc
cWBTC (CWBTC) $ 1,534.90 2.99%
mx-token
MX (MX) $ 1.70 1.95%
zilliqa
Zilliqa (ZIL) $ 0.002694 2.59%
verus-coin
Verus (VRSC) $ 0.210063 1.30%
melania-meme
Melania Meme (MELANIA) $ 0.104787 8.46%
holotoken
holo (HOLO) $ 0.000013 0.00%
ai-rig-complex
AI Rig Complex (ARC) $ 0.072523 0.70%
origintrail
OriginTrail (TRAC) $ 0.36011 3.00%
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) $ 0.096463 2.27%
baby-doge-coin
Baby Doge Coin (BABYDOGE) $ 0.00000000036812 3.24%
ether-fi
Ether.fi (ETHFI) $ 0.563165 9.60%
safepal
SafePal (SFP) $ 0.260019 4.15%
staked-frax-ether
Staked Frax Ether (SFRXETH) $ 2,589.68 3.62%
aethir
Aethir (ATH) $ 0.005011 3.76%
golem
Golem (GLM) $ 0.10751 3.44%
basic-attention-token
Basic Attention (BAT) $ 0.066978 3.83%
swissborg
SwissBorg (BORG) $ 0.175479 2.70%
skale
SKALE (SKL) $ 0.003847 2.81%
wemix-token
WEMIX (WEMIX) $ 0.194992 0.45%
mocaverse
Moca Network (MOCA) $ 0.008032 3.10%
xyo-network
XYO Network (XYO) $ 0.003189 4.42%
gas
Gas (GAS) $ 1.23 0.81%
celo
Celo (CELO) $ 0.076367 2.70%
benqi-liquid-staked-avax
BENQI Liquid Staked AVAX (SAVAX) $ 12.58 0.25%
qtum
Qtum (QTUM) $ 0.841404 4.01%
spell-token
Spell (SPELL) $ 0.000086 3.74%
would
would (WOULD) $ 0.055249 10.95%
vine
Vine (VINE) $ 0.007425 10.87%
zencash
Horizen (ZEN) $ 5.15 5.95%
woo-network
WOO (WOO) $ 0.011369 2.89%
iotex
IoTeX (IOTX) $ 0.00279 2.44%
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) $ 0.000677 1.92%
bybit-staked-sol
Bybit Staked SOL (BBSOL) $ 112.08 4.42%
plume
Plume (PLUME) $ 0.013295 5.17%
osmosis
Osmosis (OSMO) $ 0.034529 4.61%
vana
Vana (VANA) $ 0.983983 4.38%
griffain
GRIFFAIN (GRIFFAIN) $ 0.011738 3.22%
zetachain
ZetaChain (ZETA) $ 0.032392 3.31%
uxlink
UXLINK (UXLINK) $ 0.000726 2.48%
ethereum-pow-iou
EthereumPoW (ETHW) $ 0.269107 3.29%
ankr
Ankr Network (ANKR) $ 0.003997 1.30%
akuma-inu
Akuma Inu (AKUMA) $ 0.000000084817 1.68%
tribe-2
Tribe (TRIBE) $ 0.382778 0.96%
ravencoin
Ravencoin (RVN) $ 0.003201 4.14%
enjincoin
Enjin Coin (ENJ) $ 0.025865 7.43%
peanut-the-squirrel
Peanut the Squirrel (PNUT) $ 0.051087 3.75%
elixir-deusd
Elixir deUSD (DEUSD) $ 0.000977 0.00%
memecoin-2
Memecoin (MEME) $ 0.000533 3.46%
aelf
aelf (ELF) $ 0.058826 7.66%
anime
Animecoin (ANIME) $ 0.002614 6.80%
constellation-labs
Constellation (DAG) $ 0.007495 0.31%
polymesh
Polymesh (POLYX) $ 0.033687 4.12%
convex-finance
Convex Finance (CVX) $ 2.04 8.61%
drift-protocol
Drift Protocol (DRIFT) $ 0.011857 3.18%
sats-ordinals
SATS (Ordinals) (SATS) $ 0.00000001157 6.88%
venice-token
Venice Token (VVV) $ 17.46 3.22%
qubic-network
Qubic (QUBIC) $ 0.000000420226 0.18%
coinex-token
CoinEx (CET) $ 0.011993 2.63%
peaq-2
peaq (PEAQ) $ 0.021071 7.61%
threshold-network-token
Threshold Network (T) $ 0.00362 3.51%
stepn
GMT (GMT) $ 0.007066 4.19%
usda-2
USDa (USDA) $ 0.967102 0.00%

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