Solana Transaction v1: The Hidden Cost of Removing Address Lookup Tables

Solana transaction v1 expands the serialized envelope to 4,096 bytes and removes Address Lookup Tables. The upgrade could simplify validator ingestion, but account-heavy applications may surrender much of the new byte budget to inline addresses.

Solana transaction v1 is designed to make the network’s transaction format larger, more explicit and easier for validators to inspect. That sounds like a straightforward capacity upgrade. The more important change is architectural: the proposed format would remove Address Lookup Tables, or ALTs, from the transaction message and place every referenced account directly inside the transaction. In exchange, the maximum serialized envelope would rise from 1,232 bytes to 4,096 bytes.

The headline number suggests that applications receive more than three times as much space. The reality is more complicated. A significant portion of the new byte budget may be consumed by addresses that the current v0 format compresses into one-byte lookup indexes. Solana’s own analysis, published on August 17, estimates that about 62% of observed v0 transactions use at least one ALT. For dense transactions, replacing those compact references with full 32-byte public keys can add more than 1,500 bytes.

This does not make transaction v1 a failed design. It reveals what the upgrade is actually trying to optimize. The proposal exchanges state-dependent compression for deterministic parsing, earlier visibility into fees and resource requests, and a larger envelope that is better suited to proofs, signatures and data-heavy instructions. The investment thesis is therefore not “Solana triples transaction capacity.” It is that Solana is willing to spend bandwidth to simplify a critical validator path—and that the benefits will vary sharply by application.

What Solana Transaction v1 Proposes to Change

Solana currently supports legacy transactions and versioned v0 transactions. Both must fit inside a 1,232-byte packet. A transaction contains signatures and a message describing the accounts, recent blockhash and instructions that the runtime will process. Multiple instructions can be combined atomically: if one fails, the state changes from the entire transaction are rolled back.

The v0 format introduced Address Lookup Tables as a response to the packet limit. According to the official versioned-transaction documentation, an ALT is an onchain account that can store as many as 256 public keys. Once a transaction identifies the table, it can select addresses by one-byte index rather than including each 32-byte key inline. That saves roughly 31 bytes per resolved account after the table’s fixed overhead is accounted for.

The proposed v1 format takes a different route. Under the design described in SIMD-0296 and SIMD-0385, the serialized envelope expands to 4,096 bytes, lookup tables disappear from the transaction format, fixed-width instruction headers are separated from variable-length payloads, and resource requests become first-class metadata. All referenced accounts are included in a single inline address array.

That final detail drives the trade-off. The upgrade does not merely add space. It changes what consumes the space.

Why Address Lookup Tables Exist

Solana programs are stateless. Mutable state lives in separate accounts, and an instruction must identify the accounts it reads or writes. A simple transfer may reference only a small set. A decentralized-exchange route can touch token accounts, vaults, pools, markets, oracles, fee accounts and several programs. A transaction that combines several venues can approach the account and packet limits long before its business logic feels unusually complex to the user.

ALTs reduce the address cost without reducing the actual account footprint. Consider a transaction that needs 40 addresses from one established table. The table reference and vector prefixes create fixed overhead, but the selected addresses cost approximately one byte each. The Solana Foundation’s Transaction v1 and the ALT Trade-off analysis estimates that this dense configuration takes about 74 bytes in the lookup section. Inlining the same 40 public keys requires 1,280 bytes before any instruction data is counted.

Compression becomes less efficient when addresses are fragmented across many tables. Forty accounts selected from ten tables may require about 380 lookup bytes because the transaction repeatedly pays the fixed cost of identifying each table. This is why ALT usage cannot be judged by the number of tables alone. One table can deliver excellent compression, while many lightly used tables can add operational complexity without producing the same byte savings.

The current architecture has therefore created two different realities. A small core of lookup tables is reused heavily by popular token and trading infrastructure. At the same time, hundreds of thousands of distinct tables form a long, changing tail. The Foundation analysis reports that successful v0 transactions use roughly 60,000 to 75,000 distinct ALTs on a typical complete day in its sample, while tables are continuously created, extended and closed.

Compression Saves Bytes but Adds State

Address compression is not free for validators. Before a v0 transaction’s complete account set is known, a validator must load each referenced lookup-table account, confirm that the correct program owns it, deserialize its state, validate the writable and read-only indexes, resolve those indexes into public keys, combine them with the static keys and then validate the final account set.

This is a state-dependent ingestion step. The validator cannot understand the full transaction using the packet alone because part of the meaning depends on accounts stored elsewhere in the ledger state. Errors such as a missing table, invalid owner, malformed data or invalid index can prevent the transaction from reaching execution. The official transaction-pipeline reference places account resolution and loading inside a broader eight-stage path that begins with receipt and signature verification and ends with execution and commit.

Transaction v1 removes that lookup dependency from the message format. A validator can identify the complete account set from the transaction bytes. Fixed-width instruction headers make boundaries easier to discover without walking variable-length instruction objects in sequence. Resource and fee requests can be recovered earlier because they live in metadata rather than ordinary Compute Budget instructions embedded in the instruction list.

This is the strongest argument for the proposal. The network is not only increasing what applications can send; it is reorganizing the information validators need before scheduling. Earlier visibility can support more predictable parsing, prioritization and block construction. It can also reduce the number of branches and state lookups on a latency-sensitive path.

The 4,096-Byte Envelope Is Not Three Times the Usable Capacity

The current limit is 1,232 bytes. The proposed v1 envelope is 4,096 bytes. Dividing one by the other produces a tempting conclusion: applications receive 3.32 times as much transaction capacity. That arithmetic ignores the change in serialization.

Under v0, an account loaded through an ALT is represented by a short index plus a share of the table’s fixed overhead. Under v1, the same account occupies 32 bytes in the transaction. The Foundation’s 30-day sample finds that half of current ALT-using transactions would gain fewer than 420 bytes when converted to the inline v1 representation, while 90% would gain fewer than 1,400 bytes. Dense ALT users face the largest expansion because their current compression works best.

The counterfactual distribution remains broadly below the new ceiling. The sampled workload becomes thin above roughly 2,300 to 2,400 bytes, leaving meaningful room beneath 4,096. Yet this should not be interpreted as evidence that every application gains the same headroom. The sample contains transactions that can already be expressed under legacy or v0. It cannot directly observe transactions that developers never built, split into several transactions or submitted through bundles because the current packet was too small.

The larger envelope creates genuine new space. The essential question is what kind.

Byte Capacity and Account Capacity Are Different

Transaction v1 does not automatically remove Solana’s account limits. The Foundation analysis treats the 64-account ceiling as unchanged. That means an application can remain far below 4,096 bytes while running out of account slots.

This matters for routing. A swap aggregator may have plenty of room for additional instruction data but only a few free account positions. Adding another venue may require a program account, pool state, vaults, token accounts, tick arrays, oracle data and fee accounts. A single new route can consume multiple addresses even if its instruction payload is small.

By contrast, privacy proofs, multisignature constructions and cryptographic attestations can benefit substantially from a larger byte budget when they reuse an existing account set. So can applications that want to attach more signatures, validation data or richer conditional logic to accounts already present. The proposal therefore favors data-heavy complexity more clearly than account-heavy breadth.

This distinction is important for investors because blockchain “capacity” is not one number. Blockspace includes serialized bytes, compute units, account locks, loaded account data, instruction limits and the local resources validators must spend to process the workload. Raising one ceiling can reveal another.

What Changes for Validators

Validators are the clearest potential beneficiaries of the new layout. With v1, they can recover the account list, fee request, compute-unit limit and instruction boundaries without first resolving external lookup-table state. That can simplify sanitation and scheduling. It may also improve the information available when selecting transactions for a block.

The fee dimension deserves care. Solana’s current fee documentation separates a base fee from an optional prioritization fee. The base fee is charged per signature, while the prioritization fee depends on the requested compute-unit price and limit. Making resource requests explicit in the header does not, by itself, make fees cheaper. It changes when and how validators can read the request.

Larger packets also carry costs. More bytes must cross the network, pass through signature verification, occupy buffers and be retained by downstream infrastructure. Validators and client teams must implement new decoding and sanitation rules correctly. The network must preserve backward compatibility while legacy, v0 and v1 formats coexist. The performance gain from simpler parsing must therefore be measured against the bandwidth and implementation cost of the larger format.

The proposal is strongest if the validator path becomes both simpler and more predictable without creating a new hardware threshold that reduces operator diversity. A transaction format can improve local efficiency while still increasing aggregate network load. Benchmarking must include both.

What Changes for Wallets, SDKs and RPC Providers

For application infrastructure, v1 is a migration rather than a transparent capacity switch. Wallets must serialize, sign and display a new message format. SDKs need builders and decoders that understand fixed-width headers and configuration fields. RPC providers must return the new structure consistently. Indexers, explorers, custody systems and analytics services need to update parsers without confusing v1 with legacy or v0.

The removal of ALTs simplifies one class of transaction construction but does not erase transition risk. Existing applications may have operational logic for creating, extending and selecting lookup tables. Route optimizers may assume that certain account sets can be compressed efficiently. Those systems will need new cost models based on inline addresses and the larger envelope.

Backward compatibility becomes a product issue. Users do not care which message version a wallet chooses; they care whether a payment, trade or mint succeeds. During adoption, wallets may need to select among formats based on feature support, destination, account count and infrastructure readiness. An early v1 transaction sent through an unprepared RPC or custody stack could fail before reaching the network even if the protocol itself accepts it.

This is why infrastructure upgrades often take longer to become economically visible than protocol announcements suggest. A specification can be complete while user-facing reliability remains uneven.

Routing and DeFi Face the Hardest Trade-Off

Trading infrastructure is where ALT compression is both most valuable and most operationally concentrated. The Solana analysis finds that accounts frequently loaded through ALTs are strongly associated with token and trading programs. Transactions referencing three or four tables form large groups and load about 40 addresses through ALTs on average.

These workloads will gain a larger total envelope but lose the compression that made their current account sets inexpensive to transmit. For a simple route, the trade may be favorable. For a broad multi-venue path, the unchanged account ceiling may still bind. Routers could respond by optimizing account reuse, selecting venues with overlapping infrastructure, splitting activity or relying more heavily on offchain discovery before committing to a smaller onchain path.

The change may influence protocol design. Applications that currently expose many specialized accounts could seek more compact state layouts. Shared infrastructure could become more valuable when it reduces the number of unique addresses a transaction must include. Developers may prefer instruction designs that operate on accounts already present rather than introducing new state for every feature.

Block2Learn previously examined how tokenized gold is shaping Solana’s real-world-asset strategy. Transaction v1 matters to that thesis because financial assets rarely exist in isolation. A regulated transfer can involve token programs, identity controls, compliance records, custody logic, fee accounts and settlement instructions. A larger transaction helps, but a 64-account ceiling still rewards disciplined architecture.

Privacy and Cryptography Could Gain More Than Routers

The beneficiaries may not be the applications that currently generate the most transactions. Privacy systems, multisignature wallets and cryptographic protocols often need room for proofs, signatures or public inputs rather than dozens of unrelated state accounts. For them, the expansion from 1,232 to 4,096 bytes could create materially more design freedom.

A proof that cannot fit inside today’s packet may be split, compressed aggressively or verified through a less convenient workflow. More serialized space can allow stronger or more expressive constructions to remain atomic. The account limit matters less if the proof operates on a stable set of accounts.

This is strategically important. Blockchain competition is shifting from raw transaction counts toward the complexity and reliability of financial operations that can settle atomically. A network that handles richer cryptographic payloads without weakening finality or validator accessibility can support products that are difficult to represent with simple transfers.

However, byte availability does not guarantee adoption. Developers still need libraries, audits and standards. Wallets must explain what users sign. Validators must benchmark verification costs. A larger envelope creates the possibility of more sophisticated transactions; it does not automatically create safe applications.

Transaction v1 Does Not Directly Prove Token Value Capture

Protocol improvements are often translated immediately into a bullish SOL narrative. The connection is not automatic. A better transaction format can make Solana more attractive to developers, lower infrastructure friction and expand the set of applications that can settle atomically. Those are constructive network effects. Token value capture depends on whether they produce durable usage, fees, staking demand and economic activity that is difficult to move elsewhere.

Solana’s base fee remains 5,000 lamports per signature under the current documentation, with an optional prioritization fee. More complex transactions do not necessarily pay proportionally more merely because they occupy more bytes. The eventual economics of larger v1 transactions will therefore matter. If large packets impose meaningful bandwidth and processing costs without an aligned fee mechanism, validators may absorb more resource use than the market prices efficiently.

The token thesis also depends on demand quality. High-frequency trading can generate impressive activity while remaining sensitive to incentives and routing economics. Tokenized assets and payments may create more persistent utility, but they bring compliance and custody dependencies. Our analysis of the Coinbase Abu Dhabi tokenization hub showed why moving a financial instrument onchain does not remove the legal and operational stack behind it. Transaction v1 can improve the rail without determining what travels on it.

Investors should therefore separate three claims: the format can simplify validator ingestion; the larger envelope can enable richer applications; and those applications can increase SOL value capture. The first is an engineering proposition, the second is a developer proposition, and the third is an economic proposition. Evidence must accumulate at each layer.

The Migration Risk Is Mostly Coordination

The proposed format introduces no value if the ecosystem cannot deploy it safely. Core clients need consensus-compatible implementations. Test networks must measure packet propagation, sanitation cost, scheduler behavior and failure modes. RPC and SDK support must arrive before applications can rely on the new format. Custodians and hardware wallets need deterministic signing displays.

Documentation must remain clear about which features belong to legacy, v0 and v1. The current transaction-structure documentation is explicit that the live packet limit is 1,232 bytes and that v0 uses ALT resolution. Until activation and ecosystem support are authoritative, developers should treat the 4,096-byte envelope as a proposed capability rather than a production assumption.

Solana has already experienced how infrastructure diversity complicates network changes. An upgrade can be technically sound and still create operational risk when validators, RPC providers, wallets and applications update at different speeds. The Pi Network v26.1 episode discussed in our protocol-upgrade analysis illustrates the broader rule: compatible software, sequenced deployment and state agreement matter more than the length of an individual maintenance window.

For Solana, coexistence can reduce migration pressure. Legacy and v0 transactions do not need to vanish immediately for v1 to prove useful. Yet prolonged coexistence also means validators and tooling must support several formats, which preserves some of the complexity the new design seeks to remove.

What Developers Should Measure

The first metric is counterfactual size. Teams should serialize current production workloads into v1 and measure how much of the 4,096-byte envelope remains after ALT-loaded accounts are inlined. Averages are insufficient because the most complex and commercially valuable routes may sit in the tail.

The second metric is account headroom. Developers should record how many of the 64 available positions remain after conversion and identify which features require new accounts rather than additional data. This reveals whether a planned product is byte-constrained or account-constrained.

The third metric is ingestion latency. Validators should compare time spent decoding, resolving state, extracting fee information and placing transactions in scheduler queues across formats. Removing ALTs is valuable only if the simpler path produces measurable gains under realistic load.

The fourth metric is network overhead. Tests should measure propagation time, dropped packets, buffer pressure and bandwidth distribution across validator hardware. The larger envelope must not quietly convert software simplification into a decentralization cost.

The fifth metric is ecosystem coverage. SDK releases, wallet compatibility, RPC decoding and explorer support should be tracked as a percentage of real user activity rather than a list of announcements. A transaction format is useful when ordinary applications can depend on it end to end.

What Investors Should Monitor

Investors should begin with proposal status and implementation evidence. A merged discussion or published analysis is not the same as mainnet activation. The relevant milestones are finalized specifications, client implementations, test results, feature activation and broad tooling support.

Second, watch the applications that use the extra room. Proof systems, multisig products, institutional settlement and complex atomic routes would validate different parts of the thesis. A rise in ordinary transfers would not demonstrate that v1’s larger payload is economically important.

Third, compare fees and resource consumption. Larger transactions should not be judged only by success rate. Validators need compensation aligned with bandwidth, compute and account contention. The design will be more credible if resource pricing makes large packets economically sustainable.

Fourth, monitor reliability during coexistence. Unsupported-version errors, RPC decoding failures and wallet incompatibilities would indicate that the protocol moved faster than the surrounding stack. Smooth adoption would show that Solana can execute a complex infrastructure migration without converting users into testers.

Finally, separate network usage from SOL price. Our recent Solana technical analysis focused on the market structure around important resistance. Transaction v1 belongs to a different timeframe. It can strengthen the long-term infrastructure case without determining whether SOL breaks a chart level this week.

Three Adoption Scenarios

Scenario One: v1 Becomes the Default for Rich Transactions

In the constructive scenario, validator benchmarks show that removing state-dependent lookup resolution materially improves ingestion and scheduling. Wallets and SDKs adopt the format quickly. Applications use the larger envelope for proofs, signatures and complex operations that reuse a manageable account set. Legacy and v0 remain available for simpler workloads, while v1 becomes the preferred format for advanced transactions.

This outcome strengthens Solana’s position as a programmable settlement network. The value comes not from the byte limit alone but from the ability to support more expressive atomic operations with predictable parsing.

Scenario Two: Account Limits Absorb Most of the Benefit

In the middle scenario, v1 works technically but account-heavy applications remain constrained. Routers gain some byte room yet cannot add many venues because the 64-account ceiling binds first. The format becomes valuable for cryptographic payloads and selected products, but it does not transform every DeFi workflow.

This would still be progress. It would simply prove that transaction capacity is multidimensional and that future improvements must address account composition, state design or execution architecture rather than packet size alone.

Scenario Three: Tooling Friction Delays the Economic Impact

In the weaker scenario, core support arrives before wallets, RPC providers and custody systems are ready. Developers avoid v1 because end-to-end compatibility is uncertain. Validators carry multiple formats, and applications continue using v0 ALTs because the operational path is familiar.

The proposal would not necessarily be abandoned, but the market would have priced an infrastructure gain that remained largely theoretical. Adoption would depend on better tooling and a clearer migration path rather than another protocol announcement.

The Block2Learn Assessment

Solana transaction v1 is a credible infrastructure proposal because it targets a real trade-off created by the current format. Address Lookup Tables compress account addresses effectively, especially for dense trading workloads, but they require validators to consult state before the complete transaction can be understood. The proposal replaces that compression with a larger, self-contained message and more explicit metadata.

The design should be evaluated as an exchange, not a free upgrade. Solana gains simpler ingestion, fixed-width parsing and more room for data-heavy applications. It pays with larger serialized account sets, higher bandwidth demands and a migration requirement across clients, wallets, SDKs, RPC providers and custody systems.

The 4,096-byte envelope appears sufficient for most current workloads after counterfactual conversion. That is encouraging. The unchanged account limit means some of the most complex routing workloads may still be constrained. That is not a contradiction; it is evidence that bytes and accounts solve different problems.

The strongest use cases are likely to be those that need more data without introducing a much broader account set: proofs, signatures, multisig logic and richer atomic instructions. If those applications emerge and validators demonstrate measurable ingestion gains, v1 will represent a meaningful improvement in Solana’s financial infrastructure. If adoption remains limited to theoretical capacity, the economic effect on SOL will be much smaller than the protocol narrative implies.

Solana Is Repricing Simplicity

Address Lookup Tables solved a pressing engineering problem: fitting account-heavy activity into a 1,232-byte transaction. They also made transaction meaning dependent on external state during ingestion. Transaction v1 asks whether the network should spend more bytes to make the packet more self-describing.

That choice reflects a broader principle in blockchain design. Compression reduces transmission cost but can increase interpretation cost. Explicit data uses more bandwidth but can simplify verification and scheduling. There is no universally superior format; there is only a format aligned with the workloads and bottlenecks a network expects to face.

Solana’s evidence suggests that the new envelope can absorb the removal of ALT compression for most observed transactions. The remaining question is whether developers turn the leftover room into applications that could not be built reliably before. That is the test that will convert transaction v1 from a cleaner data structure into economic infrastructure.

Continue Through the Block2Learn Learning Path

Understanding Solana transaction v1 requires more than comparing 1,232 bytes with 4,096 bytes. Investors need to understand how accounts, signatures, instructions, compute limits, fees, validator scheduling and application architecture interact. A larger transaction can enable new products while exposing a different bottleneck. A simpler validator path can improve performance while increasing bandwidth requirements.

The Block2Learn Learning Path develops these ideas progressively. Free Start introduces the language of digital assets and markets. Foundation builds the principles of risk and capital allocation. The Investor Operating System provides a repeatable process for separating evidence from narrative. The Crypto Layer then examines wallets, blockchain architecture, token economics, decentralized finance and market structure in greater depth.

That structure matters because protocol upgrades rarely produce a single outcome. They redistribute constraints across software, infrastructure and economics. The disciplined investor asks not only whether a limit increased, but which bottleneck moved, who benefits, who pays and what evidence would prove that the change created durable value.

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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iota
IOTA (IOTA) $ 0.043329 5.60%
ethereum-name-service
Ethereum Name Service (ENS) $ 5.65 3.34%
spx6900
SPX6900 (SPX) $ 0.514151 10.97%
fartcoin
Fartcoin (FARTCOIN) $ 0.185267 0.45%
pudgy-penguins
Pudgy Penguins (PENGU) $ 0.009425 5.62%
pyth-network
Pyth Network (PYTH) $ 0.050854 0.46%
solana-swap
Solana Swap (SOS) $ 0.000218 5.19%
bittorrent
BitTorrent (BTT) $ 0.000000291017 1.32%
flow
Flow (FLOW) $ 0.029357 1.74%
bitcoin-sv
Bitcoin SV (BSV) $ 16.44 2.54%
neo
NEO (NEO) $ 2.14 2.85%
chain-2
Onyxcoin (XCN) $ 0.003656 2.48%
ronin
Ronin (RON) $ 0.054401 3.39%
jupiter-staked-sol
Jupiter Staked SOL (JUPSOL) $ 115.56 4.52%
curve-dao-token
Curve DAO (CRV) $ 0.315953 7.54%
jito-governance-token
Jito (JTO) $ 0.527563 9.20%
aioz-network
AIOZ Network (AIOZ) $ 0.053393 3.12%
renzo-restaked-eth
Renzo Restaked ETH (EZETH) $ 2,421.84 3.59%
arweave
Arweave (AR) $ 2.16 5.87%
binance-peg-dogecoin
Binance-Peg Dogecoin (DOGE) $ 0.107393 0.17%
arbitrum-bridged-wbtc-arbitrum-one
Arbitrum Bridged WBTC (Arbitrum One) (WBTC) $ 76,200.00 2.99%
starknet
Starknet (STRK) $ 0.02565 5.81%
axie-infinity
Axie Infinity (AXS) $ 0.946447 3.38%
wbnb
Wrapped BNB (WBNB) $ 759.61 1.56%
dexe
DeXe (DEXE) $ 1.90 0.28%
decentraland
Decentraland (MANA) $ 0.073586 2.30%
based-brett
Brett (BRETT) $ 0.005229 4.34%
elrond-erd-2
MultiversX (EGLD) $ 3.40 4.26%
beam-2
Beam (BEAM) $ 0.001433 2.66%
aerodrome-finance
Aerodrome Finance (AERO) $ 0.515968 4.19%
usdd
USDD (USDD) $ 0.999315 0.00%
dydx-chain
dYdX (DYDX) $ 0.116215 1.11%
thorchain
THORChain (RUNE) $ 0.482453 0.26%
morpho
Morpho (MORPHO) $ 2.50 4.57%
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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