Yield-bearing stablecoins, tokenized treasuries, and vaults built on offchain strategies together account for tens of billions of dollars of onchain value, and the figure keeps climbing as capital chases returns that originate in CeFi and traditional markets. Every one of those tokens inherits the same structural gap: it trades onchain while the strategy that backs it sits somewhere a smart contract cannot read.
This new paradigm puts asset issuers in a difficult position as the token holders, the risk curator sizing an allocation, and the lending market deciding whether to list it, all want to know the backing is real. The reality is none of them can see the custody balance, the exchange positions, or the loan book. So they ask for proof of it, and the answers always fall short.
The demand for proof contains three separate questions, and most current setups answer only the first.
Did the number come from the source it claims? Was it changed on the way onchain? And can the issuer prove the fact that actually matters, that reserves cover supply, without publishing the positions it would rather keep private? June this year showed what the open questions cost. A popular yield-bearing stablecoin lost its peg after the third-party service that verified its reserves suddenly cut ties. As a consequence, a lending market built on the token hit full utilization, stranding around $18 million, and the loss of confidence spread to a separate vault that never held it, because the two shared the same verifier.
Today, we are excited to launch a new product to address this.
DIA ZK is a verifiable data assurance layer for DeFi, RWAs, and cross-chain applications. It is a proof layer for offchain data that sits on top of the verifiable and trustless oracle stack DIA already runs, where feeds come directly from the original venues and every computation is published onchain, and it makes the output verifiable onchain, in two ways.
Source authenticity: Prove where the value came from Using zkTLS, a proof is generated inside the encrypted session with the source, a custodian API or a fund administrator endpoint, binding the reported value to that session. Where a source signs its data, a signed attestation carries the same guarantee; where speed matters, a trusted execution environment assists. A consumer contract can check that the balance or the NAV came from the stated source, unaltered.
Method How it works Best when zkTLS A proof is generated inside the encrypted HTTPS session with the source The source is a standard web or API endpoint TEE-assisted zkTLS A trusted execution environment assists the proving step Faster proving or production simplicity matters Signed attestations The source’s own cryptographic signature is verified The source already signs its data Selective disclosure: Prove the fact without the figure The number an issuer wants to keep private is usually not the number the market needs. A curator does not need the exact reserve balance; it needs to know reserves exceed supply. A lending market cares whether the collateral ratio holds, not what sits in the portfolio behind it. DIA ZK proves the statement rather than the value: it generates a zero-knowledge proof that the condition is true, verifiable onchain by anyone, while the underlying figure stays private.
Because those proofs are verified on DIA’s own onchain oracle layer, no single vendor can switch the feed off.
Instead of revealing Prove only that The exact reserve balance Reserves exceed supply or a set threshold The full collateral portfolio The collateral ratio clears its minimum The treasury balance It sits above the required covenant Exact TVL or liquidity It stays above a floor What a proof does not do A proof binds a value to its source, but it does not make the source honest. If a custodian’s API reports a balance it does not hold, zkTLS will prove a wrong number faithfully. For fully offchain reserves, trust in the source remains, and DIA is explicit about where that line sits. What changes is that the report becomes cryptographically bound to its source and checkable onchain, which a dashboard and a monthly PDF are not.
The first fit is where backing is offchain and opaque. The same proofs extend to any offchain figure a contract has to trust, from the reserves behind a wrapped Bitcoin to the reference price a derivatives market settles on:
Stablecoins and synthetic dollars. Prove reserves cover supply and collateral values hold, from custodian and issuer data, without publishing the exact holdings or where they sit. Vaults and lending. Prove the offchain collateral behind a vault token and that its risk parameters hold, so a lending market can check liquidation readiness against authenticated values instead of a self-reported number. Tokenized RWAs. Prove NAV inputs, asset-administrator data, and proof-of-backing for a tokenized fund, each bound to the source that produced it. Bitcoin DeFi. Prove that a wrapped or synthetic Bitcoin product is fully backed, with source-authenticated reserve and threshold proofs. Perps and derivatives. Feed authenticated price and reference-index inputs into settlement, funding, and liquidation, each bound to its source. The rules are catching up to the risk. In the EU, MiCA has governed stablecoin reserves since mid-2024: issuers must hold matching reserves, reconcile them daily, submit to periodic auditor attestation, and report to regulators, with penalties reaching up to €5 million or 12.5% of annual turnover. In the US, the GENIUS Act sets federal reserve and disclosure standards for payment stablecoins, taking effect in January 2027. Both turn “prove your backing” from a market courtesy into a standing obligation, and a point-in-time attestation is not built to meet a continuous one.
The assets that earn the most are the ones whose backing is hardest to see. Proving that backing, continuously and onchain, without forcing the issuer to open its book, is the next thing the oracle layer has to do.
If your protocol holds stablecoin reserves, tokenized fund NAVs, or vault collateral offchain, it is where to start.
A Substantial Crypto StakeThe Executive Branch Personnel Public Financial Disclosure Report (OGE Form 278e) covering the 2025 calendar year was officially received by the OGE on June 29, 2026, after the Vice President was “granted a 45-day extension to file.”
This substantial holding explicitly links a top executive branch official to the digital currency market.
Broader Financial ManeuversBeyond his cryptocurrency stash, the Vice President‘s disclosure outlines a series of traditional market transactions executed throughout 2025.
While Vance held his crypto assets, he actively deployed capital into large blocks of index funds and sold off specific venture capital interests.
Most notably, on a single day—June 27, 2025—Vance executed purchases across major exchange-traded funds that exceeded $1.25 million in combined minimum value.
Key 2025 TransactionsThe following table outlines the most significant non-crypto trades disclosed in the Vice President’s filing.
These purchases demonstrate that while the Vice President maintains a footprint in the digital asset space with Bitcoin, the volume of his recent transactional portfolio remains heavily anchored in mainstream, diversified index funds.
Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.
Image via Shutterstock
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A zero-fee L2 built for DeFi and real-world assets cannot list a lending market, a perp, or a tokenized fund until something prices the collateral. Price oracles are the gate every other application waits behind. DIA provides that layer on TeQoin.
TeQoin is an EVM-compatible Optimistic Rollup built for sub-second, zero-fee transactions, with a stated focus on unifying payments, DeFi, real-world assets, and cross-chain liquidity into one ecosystem. Its testnet processed over a million transactions in its first month. The throughput is there. What turns throughput into financial applications is reliable price data, and that is what DIA provides.
The integration puts DIA’s oracle stack on the chain, available to any team building on TeQoin. Price feeds for liquid digital assets, sourced first-party from CEXs and DEXs, give lending markets and perps the marks they settle against. Custom oracles cover assets and data points beyond the standard set, added on demand rather than from a fixed list. DIA Value brings intrinsic valuation for real-world assets, with Proof of Reserve for assets whose backing needs verifying. Verifiable randomness is available for applications that need provably fair outcomes. What a team can deploy on TeQoin is now defined by that stack, not by what it can source and maintain on its own.
DIA’s price feeds are computed transparently. Independent Feeder nodes pull trade data directly from exchanges, submit it on-chain to Lasernet, DIA’s Ethereum L2, where it is aggregated with outlier filtering and staleness checks before delivery. The methodology and the inputs are visible, which is the property risk-conscious builders look for when they choose what their markets depend on.
We're building TeQoin to be where real financial products live onchain, not just where they get tested. That ambition only holds if the infrastructure underneath is institutional-grade, and pricing is the most load-bearing part of it. We chose DIA because its data layer is verifiable and can price the full range we care about, from liquid tokens to real-world assets, which is what a chain needs to attract serious builders and serious capital. As the market moves toward tokenized, real-world finance, this is the foundation we're standing on.
Sam Baumann
CEO, TeQoin
From day one, teams launching on TeQoin have a DeFi oracle layer in place. Lending protocols can price collateral. Derivatives venues can settle against reliable marks. RWA issuers can bring tokenized products to a chain that can already value them. DIA owns the integration and the upkeep, so builders spend their time on the application, not on data plumbing.
Pricing infrastructure rarely gets named in a launch announcement. It gets noticed when it fails. DIA’s role on TeQoin is to make sure it doesn’t.
TeQoin uses DIA as its DeFi oracle layer. DIA built and maintains a native feeder on the network, live on testnet and carrying into mainnet, so any dApp on TeQoin can read price data on-chain without running its own data infrastructure.
DIA provides feeds for liquid digital assets sourced first-party from centralized and decentralized exchanges. Feeds are added on demand rather than from a fixed list, so builders can request the specific assets their application needs.
For assets that don’t trade on an order book, such as tokenized treasuries or fund NAV tokens, DIA Value computes intrinsic worth from on-chain contract state and reserve data. Proof of Reserve is available where an asset’s backing needs to be verified against the contracts that hold it.
Yes. DIA delivers custom oracles for any dApp on TeQoin, covering assets and data points beyond the standard feed set, alongside verifiable randomness for applications that need it.
Independent Feeder nodes pull trade data directly from exchanges and submit it on-chain to Lasernet, DIA’s Ethereum L2, where it is aggregated with outlier filtering and staleness checks before delivery. The sources and the methodology are transparent and verifiable.
Wall Street stumbled on Tuesday, with broad losses by midday in New York as investors turned risk-off amid mounting concerns over lofty valuations, seasonal headwinds and fiscal strains.
VIXY ETF is spiking. Check live prices here. The CBOE Volatility Index (VIX) — Wall Street's "fear gauge" — surged nearly 20% to 19.2, marking its third consecutive advance.
Major equity benchmarks retreated, led by the Nasdaq 100, which slid 1.7%. The S&P 500 fell 1.4% in its first session of September — historically its weakest month of the year. The Dow lost more than 500 points or 1.1%.
Fresh economic data added to the gloom. The ISM Manufacturing PMI showed a sixth consecutive month of contraction, highlighting how tariffs, intended to shield the domestic industry, are instead driving up costs and delaying investment.
Safe-haven demand remained strong. Gold hit fresh record highs above $3,500 an ounce, while silver extended its surge past $40. In energy markets, crude oil jumped 2.6% to $65.65 after reports of renewed Ukrainian strikes on Russian oil facilities.
Bond markets also came under pressure. Long-dated yields climbed across advanced economies, with 30-year U.S. Treasuries up five basis points to 4.97% — hovering just below the closely watched 5% mark.
Bitcoin (CRYPTO: BTC) managed to escape the broader sell-off and rose 1.6% to above $110,000.
Tuesday’s Performance In Major U.S. Indices ETFsAccording to Benzinga Pro data:
Stocks On The Move TuesdayS&P 500’s Top 5 GainersS&P 500’s Worst 5 LosersRead Now:
Why Traders Fear September: 10 S&P 500 Stocks To Watch As Weak Seasonality Kicks In Photo: Shutterstock
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Gold prices suffered a sharp correction on Tuesday as investors locked in profits following this year's explosive rally, while optimism across earnings kept industrial stocks powering higher and pushed the Dow Jones to fresh record highs.
The blue-chip index climbed 0.7% to 47,050 points, marking a new all-time high, while the S&P 500 and Nasdaq 100 hovered near record territory.
• GDX is among today’s weakest performers. Review the technical setup here.
In contrast, gold miners tumbled as bullion prices slumped more than 5% to $4,100 per ounce — their steepest one-day drop since August 2020.
Newmont Corp. (NYSE:NEM) plunged nearly 10%, while the VanEck Gold Miners ETF (NYSE:GDX) slid 9.5%, marking its worst day in over five years. Silver also dropped 6.7%.
Meanwhile, cryptocurrency markets regained momentum, with Bitcoin (CRYPTO: BTC) rising 2.5% to $113,000.
Tuesday’s Performance In Major U.S. Indices, ETFsAccording to Benzinga Pro data:
Tuesday’s Movers On EarningsRead Next:
• General Motors Sees Brighter Road Ahead As CEO Eyes EV Profitability And Tariff Relief
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Introducing DIA Value: Intrinsic Valuation Oracle for Institutional DeFiWhen markets don’t exist, market oracles fail. DIA launches fully onchain fair-value pricing for assets from tokenized treasuries to yield-bearing tokens.
In 2020, decentralized finance experienced its Cambrian explosion. Uniswap enabled permissionless trading. Aave enabled permissionless lending. Within three years, DeFi grew to $100 billion in total value locked, all built on a core pricing assumption: assets trade continuously on liquid markets.
Then in 2024, Wall Street arrived.
BlackRock tokenized U.S. treasuries, crossing $500 million in the BUIDL fund within months.[1] Firms like Ondo Finance brought tokenized treasuries to Ethereum. By early 2025, over $50 billion in institutional capital had migrated onchain,[2] with projections from McKinsey, BCG, and others estimating the tokenized asset market could reach $2–16 trillion by 2030.[3]
But these assets share a characteristic: they don’t trade.
Tokenized treasuries don’t have order books. Fund NAV tokens don’t establish price through supply and demand. Yield-bearing tokens have redemption mechanisms encoded in smart contracts — their value isn’t what traders think, it’s what the protocol guarantees you can redeem.
And DeFi’s pricing infrastructure wasn’t designed to handle them.
The oracle space converged on a single architecture: market observation. Aggregate prices across exchanges, decentralize the aggregation through node networks, publish the result onchain. For Bitcoin, Ethereum, and liquid tokens, this works well.
But you cannot aggregate exchange prices when markets don’t exist. You cannot decentralize market data when liquidity is thin or fragmented. And you cannot discover price through trading when trading doesn’t happen.
The infrastructure that unlocked DeFi’s first $100 billion fundamentally cannot price its next trillion.
Market-based oracles solved a real problem: bringing external price data onchain. For assets that trade continuously with deep liquidity, the approach is sound. Implementations vary in how they source data, what transparency they offer, and how they handle edge cases, but the core model works when its assumptions hold.
Those assumptions are: continuous trading activity, deep enough liquidity to resist manipulation, and price discovery through supply and demand. For the new institutional asset classes entering DeFi, they collapse:
Asset Type Continuous Trading? Deep Liquidity? Market Price Discovery? Tokenized T-Bills ❌ ❌ ❌ Fund NAV Tokens ❌ ❌ ❌ Yield-Bearing Derivatives ⚠️ Sporadic ❌ ❌ Synthetic Stablecoins ⚠️ Sporadic ❌ ❌ Cross-Chain LP Tokens ❌ ❌ ❌ When these conditions are absent, market-based oracles face three choices, none of them good:
Aggregate thin, manipulable market data. If a tokenized asset has minimal secondary trading, aggregating those sparse data points creates vulnerability. Thin order books can be manipulated. Single-venue distortions propagate as truth. Stale prices from infrequent trades become risk management inputs.
This isn’t theoretical. On October 10, 2025, $19 billion in leveraged DeFi positions were liquidated in 24 hours.[4] Bitcoin flash-crashed from $126,000 to $103,000, and the cascade was amplified by oracle infrastructure propagating distorted price data from stressed markets into automated liquidation triggers.[5]
Fall back to proprietary data providers. When market data doesn’t exist, some oracle architectures allow protocols to pull from centralized APIs, effectively reintroducing the trust assumptions that decentralized infrastructure was supposed to eliminate.
Paul Frambot, Co-Founder and CEO at Morpho, analyzing RWA pricing challenges, concluded that since tokenized assets “don’t have secondary markets,” DeFi must rely on “trusted price providers.” He’s right that this is where market-based architecture logically ends up when markets disappear.
Simply don’t support the asset. The most common outcome. If an asset doesn’t fit the market-aggregation model, it doesn’t get priced. Over $100 billion in tokenized treasuries, yield-bearing tokens, stablecoins, and other institutional-grade digital assets currently lack sufficient liquidity for reliable market-based pricing.[6]
This isn’t a flaw in any particular implementation. It’s a structural limitation: no market-based oracle, regardless of how sophisticated, can produce manipulation-resistant pricing from markets that are thin, stressed, or nonexistent. The architecture works for liquid assets. For assets whose value is defined by contracts, reserves, or portfolios rather than by trading, it’s a mismatch.
Traditional finance solved illiquid asset pricing decades ago through intrinsic valuation.
When a mutual fund holds private equity or illiquid bonds, it calculates Net Asset Value: sum of all holdings marked at fair value, divided by shares outstanding. When banks value loan portfolios, they use mark-to-model: discounted cash flows and credit risk adjustments. When Circle proves USDC is worth $1.00, they provide reserve verification: auditable proof that $1 of reserves backs each token.
These methods work because they compute value from verifiable inputs rather than observing market trades.
Bringing this approach onchain was previously impractical. Traditional fair value methodologies relied on trusted intermediaries: fund administrators calculating NAV, auditors verifying reserves, risk models run by centralized entities. Blockchain changes this: smart contract states, reserve balances, exchange rates, redemption formulas, and yield accruals can now serve as direct inputs for fair value computation with a degree of transparency that traditional finance never had.
DIA Value is the infrastructure we built for this. It delivers intrinsic fair-value pricing for assets where market data is absent, unreliable, or exploitable. Rather than reporting trades that can be manipulated, Value computes fundamental value from the most direct, verifiable data sources available, applying the same valuation logic that traditional finance has relied on for decades.
Value already powers fair value pricing across lending, stablecoins, and tokenized securities, including integrations with Euler, Morpho, Silo, Hydration, and others.
DIA Value implements five fundamental valuation methodologies:
Net Asset Value (NAV): For tokenized funds holding portfolios of assets. Aggregates fair value of all underlying holdings, applies fees and liabilities, divides by token supply. Proof of Reserves (PoR): For stablecoins and wrapped assets. Verifies reserves equal or exceed circulating supply. Value proven by backing, not trading. Contract Exchange Rate (CER): For yield-bearing tokens (stETH, aTokens). Reads redemption rate directly from protocol smart contracts. Value is what the contract guarantees you can redeem. Reserve-Backing Ratio (RBR): For algorithmic stablecoins and synthetic assets. Computes value based on ratio of collateral reserves to outstanding supply. Redemption Value (RV): For assets with programmatic redemption mechanisms. Calculates the value you would receive by executing the redemption function. Each methodology is designed to maximize pricing independence by deriving value from the most direct source available, whether that’s onchain smart contract state, reserve balances, or authoritative reference data for off-chain backing assets such as tokenized fund NAVs. In some cases, particularly for assets backed by off-chain reserves, Value integrates these inputs transparently, so protocols and users can see exactly how each price is computed and what data sources it relies on.
When a protocol queries Value for a tokenized treasury fund price, the system:
Reads the fund’s smart contract to enumerate holdings Prices each holding using the appropriate methodology Applies fees and liabilities encoded in the contract Returns per-share NAV with full calculation transparency A market-based oracle can’t do this because it’s looking for trades that don’t exist. Value computes intrinsic value from verifiable facts.
To be clear: this does not replace market oracles for liquid assets. DIA’s own market-based oracle, Market, handles pricing for assets with observable trading activity, sourcing data directly from exchanges. Value complements that foundation for assets whose value is defined by contracts, reserves, or portfolios rather than by trading.
Market-based oracles answer: “What did the last trade say?” Fair value oracles answer: “What is this asset fundamentally worth?”
Use Case Market Oracle Approach Intrinsic Value Approach Tokenized T-Bills Aggregate thin secondary trades (stale, manipulable) Compute redemption value from treasury contract + yield accrual Fund NAV Tokens Report last trade price (may be days old) Calculate real-time NAV from portfolio holdings Yield-Bearing Tokens Observe stETH/ETH pair (deviates from redemption) Read exchange rate directly from Lido contract Stablecoins Assume $1.00 or use thin DEX prices Verify reserves and compute backing ratio This shift unlocks capabilities that market-based oracles structurally cannot provide:
Institutional-grade collateral acceptance. Lending protocols can accept tokenized treasuries and fund shares as collateral based on auditable intrinsic value rather than manipulable secondary market prices. Euler’s recent integration demonstrates this in practice.
Regulatory-compliant fair value accounting. Fair value measurement standards (IFRS 13, ASC 820) explicitly require intrinsic valuation methods when markets are inactive. Value’s methodologies align with these frameworks.
Manipulation resistance through architecture. October 10th demonstrated that market-based oracles remain vulnerable when underlying markets are stressed. Fair value computation sidesteps this: you cannot game NAV calculation by moving thin order books.
Cross-chain pricing without fragmented liquidity. When an asset exists on multiple chains, market-based oracles face fragmented liquidity. Fair value oracles compute redemption value once from the canonical contract and publish everywhere. The value is the same because it’s derived from fundamental backing, not chain-specific trading.
What Value doesn’t solve:
It’s worth being clear about the boundaries. Value solves fair value for assets with verifiable data sources. Remaining challenges are governance and trust boundary questions, not architecture failures:
Off-chain reserves (e.g., Circle’s bank accounts) still require attestation. Value makes attestation auditable, but trust in the attester remains. Cross-chain verification depends on bridge security. Disputed valuation formulas for complex derivatives may have competing fair value models. Value executes formulas transparently, but choosing the right formula requires governance. Smart contract risk: if the contract is wrong, the valuation is wrong. Value surfaces this transparently rather than obscuring it, but the risk exists. When pricing infrastructure no longer depends on market liquidity, new capabilities open up across DeFi.
Lending protocols accept tokenized treasuries without oracle risk. Vault platforms can offer rates against tokenized fund shares based on auditable NAV, not whether someone traded yesterday.
Stablecoins verify reserves across complex, multi-chain structures. Next-generation stablecoins hold diversified portfolios of yield-bearing tokens and cross-chain assets. Value makes real-time reserve verification possible even when components are illiquid or fragmented.
Asset managers tokenize funds with real-time NAV onchain. Traditional funds calculate NAV once daily. Onchain funds can compute real-time NAV continuously, but only if the pricing infrastructure handles illiquid holdings and cross-chain positions.
Institutions meet regulatory fair value requirements without centralized intermediaries. The shift from centralized API providers to verifiable intrinsic computation is the difference between traditional finance with a blockchain wrapper and genuinely decentralized institutional infrastructure.
Risk curators build sophisticated credit models without market dependency. Professional risk managers, from established firms to emerging specialists, need to model scenarios, stress-test collateral, and assess fundamental value independent of market panic. Fair value infrastructure gives them the primitives to do this properly.
Bitcoin sitting idle is a trillion-dollar opportunity cost. hemiBTC lets holders deploy BTC productively into DeFi, but that only works if the pricing layer can verify the actual Bitcoin backing each token onchain. DIA Value does exactly that, no secondary market dependency, no centralized attestations. It's the kind of infrastructure that makes Bitcoin-native DeFi viable: fully trustless and verifiable.
Jeff Garzik
Co-Founder, Hemi Network
When you operate a stablecoin across four chains, pricing fragmentation becomes a real engineering problem. DIA Value solved this for us by computing USDp's fair value directly from onchain redemption data, reading collateral composition and redemption curves from our smart contracts. One verifiable fundamental price, consistent everywhere. That's what lets integrators treat USDp as reliable collateral without building custom pricing logic per chain.
Noah Boisserie
CEO, Cooper Labs
satUSD+ is a yield-bearing stablecoin, and its value is defined by what the protocol's staking contract actually pays out, not by what someone last traded it for on a DEX. DIA Value computes that fair value directly from onchain data, which means lending markets and vault strategies integrating satUSD+ can verify the price they're seeing. For an omnichain stablecoin system like ours, that reliability is non-negotiable.
River Team
River
Fundamental pricing methodologies will drive the next wave of institutional capital being deployed onchain. It is a prerequisite that has been missing from DeFi’s infrastructure stack, and its arrival expands the addressable market for oracle infrastructure significantly beyond price feeds.
Market-based oracles gave DeFi the rails to price liquid markets. Value gives DeFi the foundation to price everything else.
The shift from market observation to intrinsic computation expands what oracle infrastructure can do, specifically into the asset classes that institutional DeFi needs priced to grow.
DIA’s fundamental valuation oracle computes USDh’s fair value directly from its Bitcoin and stablecoin reserves, replacing market-based pricing with verifiable reserve verification on Stacks.
Hermetica builds Bitcoin yield infrastructure on Stacks. Its stablecoin, USDh, is backed by a combination of BTC and stablecoin reserves held by the protocol. Users can earn yield on their Bitcoin through Hermetica’s products while USDh serves as the stable unit of account in the system.
USDh’s value is defined by what backs it: verifiable reserves of Bitcoin and stablecoins. For an asset with this structure, the architecturally correct pricing approach is to compute value directly from the reserves, not to observe secondary market trades. Market-based pricing can be a reasonable methodology in certain cases, but reserve verification is the methodology that matches how the asset actually works.
For lending protocols like Zest that integrate USDh into their contracts, pricing accuracy directly affects position health calculations, collateral valuations, and liquidation logic. The price feed needs to reflect what USDh is fundamentally worth based on its backing, updated reliably and transparently.
DIA's oracle infrastructure and Hermetica's reserve-backed design are complementary. Bitcoin DeFi no longer needs to rely on volatile market-based pricing. Instead, institutions and individuals alike can benefit from the manipulation-resistant fair value price for USDh that DIA enables.
Jakob
Founder & CEO, Hermetica
DIA deploys a Reserve-Backing Ratio (RBR) fundamental feed for USDh through the DIA Value oracle. Instead of observing secondary market trades, the oracle computes fair value directly from Hermetica’s reserve composition.
The process works as follows. The oracle reads the current state of Hermetica’s reserves, including BTC holdings and stablecoin balances, from the protocol’s backing data. It then compares total reserve value against USDh circulating supply. If reserves meet or exceed supply, USDh is priced at $1.00. If reserves fall below supply, the oracle reflects the actual backing ratio, pricing USDh at $1.00 multiplied by the fraction of reserves over outstanding supply.
This means the price USDh carries onchain is always derived from what actually backs it, not from what someone last paid for it on a DEX.
The feed is live on the Stacks public good oracle, where any protocol or user can query the USDh/USD value in real time.
The transition from market observation to reserve verification reflects a broader principle. Bitcoin-backed stablecoins derive their value from their reserves, not from trading. The correct oracle methodology for this asset class is one that computes value from verifiable backing data, just as traditional finance prices money market funds from their NAV rather than from secondary trades.
DIA Value’s RBR methodology makes this computation transparent and continuous. Lending protocols consuming the feed can trust that the price reflects verified reserve backing. This is especially important during periods of broader market volatility, when the value of stablecoins needs to be anchored to fundamentals rather than short-term market dynamics.
The integration also demonstrates a broader pattern in how stablecoin pricing infrastructure needs to evolve. As more stablecoins adopt complex reserve structures spanning multiple asset types and chains, the ability to compute fair value from verifiable backing data becomes a prerequisite for institutional adoption, not a nice-to-have.
DIA delivers market price feeds for satUSD across five chains and fundamental valuation for satUSD+, giving lending markets and vault strategies verifiable pricing for River’s stablecoin ecosystem.
River operates a chain-abstraction stablecoin system built around satUSD, an over-collateralized stablecoin backed by BTC, ETH, BNB, and liquid staking tokens. Users who stake satUSD receive satUSD+, a yield-bearing token that compounds automatically while remaining composable across DeFi.
This creates a pricing challenge that a single oracle approach cannot solve.
satUSD trades on secondary markets across multiple chains. For this asset, market-based pricing works: aggregate trades, filter outliers, publish the result. But satUSD+ is different. Its value is defined by what the staking contract pays out, not by what someone last traded it for on a DEX. Thin secondary markets for yield-bearing tokens are vulnerable to manipulation, and stale trade data misinforms the risk models that lending protocols and vault curators depend on.
River needed both: reliable market pricing for satUSD and intrinsic valuation for satUSD+.
DIA provides market price feeds for satUSD on Ethereum, BNB Chain, BOB, Arbitrum, and Base, matching River’s omni-CDP architecture, where users deposit collateral on one chain and mint satUSD on another via LayerZero. Pricing infrastructure has to follow the asset wherever it goes.
Each feed is powered by DIA’s Decentralized Feeder Network, where independent feeders scrape real-time trade data directly from the exchanges where satUSD trades, aggregate it through a verifiable two-step process on DIA’s own blockchain, and deliver the result onchain. No intermediary data vendors, no opaque pipelines. Protocols consuming the feed can trace every price back to its source trades.
For satUSD+, DIA deploys a fundamental feed using the Contract Exchange Rate (CER) methodology from DIA Value. Rather than observing secondary market trades, the feed reads the satUSD+/satUSD exchange rate directly from the vault contract on BNB Chain, computing fair value from what the protocol actually guarantees you can redeem.
This means lending markets and vault strategies integrating satUSD+ can price the asset based on verifiable onchain data rather than sparse DEX activity. The distinction matters most precisely when it matters most: during periods of market stress, when thin order books deviate furthest from fundamental value.
satUSD+ is a yield-bearing stablecoin, and its value is defined by what the protocol's staking contract actually pays out, not by what someone last traded it for on a DEX. DIA Value computes that fair value directly from onchain data, which means lending markets and vault strategies integrating satUSD+ can verify the price they're seeing. For an omnichain stablecoin system like ours, that reliability is non-negotiable.
River Core Team
Full contract addresses and integration guides are available in River’s documentation.
River’s TVL and cross-chain architecture make it a clear example of why oracle infrastructure needs to go beyond market observation.
As professional risk curators and capital allocators evaluate yield-bearing stablecoins for vault strategies, they need pricing they can model against. A last-trade price from a low-liquidity DEX pair is not that. A verifiable exchange rate read from the issuing contract is.
DIA Value’s fundamental valuation methodologies exist precisely for this category of asset: tokens whose value is defined by contracts, reserves, or portfolios rather than by trading. River’s satUSD+ is a textbook case of the Contract Exchange Rate methodology in action, and the integration demonstrates how market feeds and fundamental feeds work as complements within a single protocol’s oracle stack.
Fundamental and market price feeds for USDp and sUSDp now live across Hyperevm, Base, and Avalanche
Parallel Protocol has integrated DIA Value to deliver verifiable onchain price feeds for its stablecoin system. The integration covers both USDp and its yield-bearing wrapper sUSDp across four networks, and is live in production.
USDp is a collateral-backed stablecoin deployed across Hyperevm, Base, and Avalanche. That multichain footprint creates a pricing problem that market-based oracles handle poorly: liquidity is fragmented across chains, thin order books invite manipulation, and yield-bearing wrappers like sUSDp require chain-local vault rate accounting that single-price feeds don’t support.
The integration provides two complementary feed types:
Fundamental feeds compute USDp’s fair value directly from onchain redemption data. The oracle reads collateral composition and redemption curves from Parallel’s smart contracts in real time, producing a price that reflects what USDp can actually be redeemed for rather than what a thin secondary market last traded. For sUSDp, the fundamental feed multiplies the USDp benchmark by the chain-local vault exchange rate, keeping the price accurate per deployment.
Market feeds provide a separate USDp price sourced directly from trading venues, published under a distinct key so protocols can choose the methodology appropriate for their use case.
Both feeds are available via AggregatorV3-compatible adapters across all four chains.
When you operate a stablecoin across four chains, pricing fragmentation becomes a real engineering problem. DIA Value solved this for us by computing USDp's fair value directly from onchain redemption data, reading collateral composition and redemption curves from our smart contracts. One verifiable fundamental price, consistent everywhere. That's what lets integrators treat USDp as reliable collateral without building custom pricing logic per chain.
Noah Boisserie
CEO, Cooper Labs
For full technical implementation detail, see Parallel’s integration post.
Bitcoin (CRYPTO: BTC) closed the first quarter of 2026 down 23%, driving exhausted traders to pivot capital into a surprising alternative asset class: physical Pokémon cards.
Prominent crypto analyst Trader Mayne and pseudonymous collectibles expert CBS discussed on Wednesday how the Trading Card Game (TCG) market is absorbing liquidity as digital assets continue to trade sideways.
The “Bitcoin” Of CollectiblesVintage Pokémon cards are exhibiting price resilience, with CBS highlighting the 1999 Base Set First Edition Charizard as the “Bitcoin of the TCG market.”
TCGs are attracting crypto capital thanks to their scarcity, liquidity, and decoupling from wider digital assets.
Unlike altcoins with constant token unlocks and inflationary supply, vintage cards have fixed, verifiable caps.
High-end graded cards operate with near-instant liquidity at trade shows and online marketplaces, allowing traders to flip $50,000 physical assets in minutes.
And while Bitcoin and equities dumped over the last four months, vintage trading cards largely held their value or appreciated.
CBS views the current environment as a “land grab,” noting that wealthy millennials in their 30s are aggressively replacing traditional antiques with nostalgic physical investments.
Markets Held Hostage By HeadlinesBack on the traditional charts, Mayne emphasized that technical analysis is currently taking a backseat to geopolitical “tape bombs.”
Mayne noted this instant risk-on bid reveals the market’s total desperation for a de-escalation catalyst.
Until a formal ceasefire occurs, Mayne expects violent volatility and warns against forcing leverage in the middle of a headline-driven range.
Prediction markets currently price the odds of U.S. “boots on the ground” in Iran by the end of April at greater than 50%.
Mayne also took aim at Strategy Inc (NASDAQ:MSTR) and its Chairman Michael Saylor over the aggressive marketing of the company’s new 11.5% yield product, STRCH.
Saylor recently deployed heavily criticized, AI-generated promotional videos to advertise the fixed-income product to retail investors.
Mayne compared the marketing tactics to the peak-euphoria days of the collapsed Terra/Luna Anchor Protocol, labeling the campaign “unbelievably cringe” and warning that such aggressive retail targeting damages the broader credibility of the Bitcoin ecosystem during an already fragile market structure.
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The IMF’s Tokenized Finance note flags pricing of illiquid assets as a systemic risk. What does that mean for oracle infrastructure and institutional DeFi
The IMF published a note this month that deserves close reading from anyone building or allocating in tokenized finance. “Tokenized Finance” (NOTE/2026/001), authored by Tobias Adrian, the IMF’s Financial Counsellor, argues that tokenization is not an efficiency upgrade to existing financial plumbing but a structural reconfiguration of how trust, settlement, and risk management are organized.
The note is 23 pages and it covers settlement finality, governance of code, cross-border resolution, stablecoin risk, and wholesale CBDC design. But one thread runs through the entire document that hasn’t received enough attention: the pricing infrastructure gap for illiquid tokenized assets.
Adrian’s argument starts from a structural observation: Tokenized assets, including fund shares, securities, and programmable financial instruments, are migrating onto shared ledgers where settlement happens atomically and collateral moves in real time. For any of this to work safely, every asset in the system needs continuous, reliable pricing.
For liquid assets, this is solved. Exchanges produce prices and aggregators publish them.
But the asset classes driving institutional adoption don’t fit that model. Tokenized treasuries crossed $11 billion in market capitalization in March 2026, up from under $1 billion two years ago. BlackRock’s BUIDL fund alone holds over $2.1 billion. The broader RWA market (excluding stablecoins) sits at roughly $27 billion according to RWA.xyz.
These assets share a characteristic that breaks existing pricing infrastructure: they don’t trade continuously on liquid markets. Tokenized treasury funds don’t have order books. Fund NAV tokens don’t establish price through supply and demand. Yield-bearing tokens have redemption mechanisms encoded in smart contracts. Their value is defined by what the protocol guarantees you can redeem, not by what the last trade said.
The IMF note is direct about what happens when pricing infrastructure can’t handle this. When financial logic is embedded in smart contracts, automated margin calls triggered by distorted or stale price data force rapid liquidations. Adrian specifically flags faulty price feeds as a vector for cascading failures.
On October 10, 2025, $19 billion in leveraged DeFi positions were liquidated in 24 hours. The IMF note references this event directly as an example of automated liquidation triggers amplifying market stress.
Adrian’s note also addresses something the DeFi discourse largely skips: regulatory alignment with fair value standards.
Fair value measurement standards, specifically IFRS 13 and ASC 820, explicitly require fundamental valuation methods when markets are inactive. Institutional capital must comply with these standards. When a tokenized treasury fund enters a DeFi lending protocol as collateral, the pricing methodology underneath needs to produce valuations that would survive an audit.
Most of DeFi doesn’t think about this. But the capital it’s trying to attract does. An asset manager allocating to an onchain vault through a risk curator like Gauntlet or Steakhouse Financial needs the pricing layer to align with the same frameworks their compliance teams already operate under.
Adrian’s note connects these dots explicitly. Fair value infrastructure for illiquid tokenized assets is a regulatory precondition for the institutional capital that the entire tokenized finance thesis depends on.
The note points out that the pricing problem itself isn’t new. Fund administrators have computed NAV for illiquid portfolios for decades. Banks and auditors routinely model loan book valuations and verify reserve backing for money market instruments. The valuation logic is well-established.
What’s different onchain is that the inputs these methods need are often already available as smart contract state. Redemption rates, reserve balances, yield accruals, portfolio compositions. In traditional finance, collecting these inputs requires trusted intermediaries and batch processes. Onchain, they can be read directly, computed continuously, and verified by anyone.
This is where the note gets most interesting for anyone building oracle infrastructure. Adrian argues that as financial logic migrates into smart contracts, governance must extend beyond institutions to algorithms. The functions that smart contracts perform (executing collateral transfers, initiating default procedures) are systemically important and dependent on the data they consume.
The note’s language is worth paying attention to: formal verification and independent audits should be mandatory for systemically important contracts. Change management must be transparent. And, directly relevant to oracles, the governance challenge concerns not only code quality but the processes that design, validate, modify, and override the data feeds powering execution.
For pricing infrastructure specifically, this means the methodology behind every price needs to be inspectable: the inputs, the computation, the logic connecting them. When a vault liquidation fires because a tokenized treasury was repriced, the risk curator needs to be able to trace that price back to its source and verify the calculation was correct. That’s a governance requirement.
The note’s bias is toward permissioned, institutionally governed shared ledgers. Adrian’s preferred scenario has tokenized infrastructures built around wholesale CBDC with coordinated oversight. But the protocols that actually need fair value pricing today, Euler, Morpho, Silo, operate on permissionless infrastructure, with institutional risk curators managing vault strategies on open rails.
This tension matters for pricing specifically. A permissioned model implies designated entities computing and attesting to fair value, similar to how fund administrators operate today. A permissionless model implies transparent onchain computation where anyone can verify correctness. The IMF note doesn’t quite acknowledge this second option, but its own requirements (auditability, governance of data feeds, verifiable correctness) are more naturally satisfied by transparent computation than by institutional attestation.
The IMF has now framed the absence of fair value pricing for illiquid tokenized assets as a macro-level risk, a structural vulnerability in the financial system that tokenization is building.
At DIA, this is the problem we’ve been building against. DIA Value prices illiquid tokenized assets by computing fundamental value from onchain contract state, with the full computation verifiable.
When a protocol needs to price a yield-bearing token as collateral, Value reads the redemption rate directly from the issuing contract rather than relying on a thin secondary market. When a stablecoin protocol needs to verify its reserves match circulating supply, Value computes the backing ratio from onchain state.
It’s live across lending protocols and stablecoin infrastructure, and its architecture makes the full computation pipeline verifiable onchain, which is the design constraint the IMF note points to, even if it imagines a different institutional model delivering it.
The broader question is whether this pricing infrastructure will be built by permissioned intermediaries replicating traditional finance with a blockchain wrapper, or by verifiable open systems like DIA that give institutional actors the auditability they need without reintroducing the opacity they’re trying to leave behind.
U.S. stocks rose Monday, with gains led by energy and growth-sensitive sectors as investors weighed ongoing conflict in Iran against firm economic data.
The S&P 500 Energy index climbed as crude futures held near recent highs, well above the psychologically important $100 level, while broader sector gauges showed modest advances for tech and financials.
SPY shares are up. See the chart and price action here. President Donald Trump has set a deadline of Tuesday evening for Iran to reopen the Strait of Hormuz or face large‑scale strikes on power plants, bridges and other infrastructure.
Tehran has so far rejected U.S. ceasefire and reopening proposals, keeping markets on edge over whether the deadline brings de‑escalation or a major military escalation.
Oil and EnergyWTI crude futures hovered around the $112 dollar mark after briefly spiking above $115 dollars earlier Monday, as headlines around shipping disruptions and ceasefire efforts in the Strait of Hormuz kept volatility elevated.
The United States Oil Fund (NYSE:USO) was up slightly at $137.94, according to Benzinga Pro data.
The energy sector outperformed, with the S&P 500 Energy benchmark trading near the upper end of its recent range and the Energy Select SPDR ETF (NYSE:XLE) components showing broad participation in the rally.
Stock Movers Booking Holdings, Inc. (NASDAQ:BKNG) shares were trending and trading slightly higher on a split‑adjusted basis after its 25‑for‑1 stock split.
CryptocurrencyBitcoin (CRYPTO: BTC) approached the $70,000 mark, trading at $69,973 at the time of publication Monday, up 1.42% since the previous trading session. Over the last 12 months, Bitcoin has shed approximately 12%.
Trading Economics projects "digital gold" to be priced at $69,379 by the end of this quarter and at $76,045 in one year.
Monday's Performance In Major U.S. IndicesAccording to the Benzinga Pro platform:
Photo: Leonard Zhukovsky / Shutterstock
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The latest AI news China Iran artificial intelligence military US bases geopolitics story escalated on April 5 when an ABC News exclusive revealed that the US Defense Intelligence Agency has confirmed Iran’s Islamic Revolutionary Guard Corps is actively using AI-enhanced satellite imagery from a Chinese firm called MizarVision to identify, prioritize, and target US military installations across the Middle East.
Summary
MizarVision, a partially state-owned Chinese geospatial AI company, has been publishing AI-annotated high-resolution satellite imagery of US military bases on open-source platforms, with automated detection of aircraft, Patriot missile batteries, fuel depots, radar systems, and troop concentrations — capabilities once limited to classified national intelligence agencies DIA officials assess that the IRGC is actively using these datasets to refine missile and drone strike planning, compressing what previously required days of intelligence analysis to minutes; one intelligence official characterized the activity as a Chinese company “we believe maliciously, providing intelligence on an open-source platform” MizarVision posted at least six detailed analyses of Saudi Arabia’s Prince Sultan Air Base between February 24 and 27, identifying Patriot positions and aircraft locations; the base was struck less than 48 hours later, and one US service member later died from injuries sustained in the attack The latest AI news China Iran artificial intelligence military US bases geopolitics threat took concrete form on April 5 when ABC News first reported that the US Defense Intelligence Agency had assessed Iran’s IRGC as actively exploiting satellite imagery datasets from MizarVision — a Chinese geospatial AI firm with approximately 5.5% Chinese government ownership — to improve the precision and tempo of missile and drone strikes against US and allied forces.
MizarVision’s platform integrates machine learning trained on military signatures, automatically classifying aircraft types, radar arrays, hardened shelters, fuel depots, command centers, and naval vessels based on shape, thermal patterns, and contextual indicators. The AI adds geospatial metadata tags that can be directly integrated into targeting software and command-and-control systems. Its stated mission is to “democratize and universalize geospatial intelligence” — a goal that US defense officials now say Iran has operationalized for warfare.
How It Compresses Iran’s Kill Chain Traditional targeting intelligence collection, processing, analysis, and dissemination cycles take days. MizarVision’s AI reduces that to minutes by automatically generating tagged, geolocated target packages from commercially available satellite imagery. For Iran’s IRGC — which lacks the classified satellite constellation and imagery analysis units of a major power — this represents asymmetric capability: outsourcing targeting intelligence from a commercially accessible platform while maintaining operational plausibility.
DIA officials told ABC News that Iran is using these datasets not just to identify targets but to conduct pattern-of-life analysis, tracking deployment routines and periods of maximum vulnerability. That allows the IRGC to shift from broad saturation attacks toward selective strikes against air defense radars, maintenance shelters, and fuel storage facilities — the specific nodes that reduce US air combat effectiveness.
The Prince Sultan Air Base Sequence The most alarming evidence centers on Prince Sultan Air Base in Saudi Arabia. MizarVision published detailed posts identifying Patriot missile battery positions on February 24, and aircraft parking locations on February 27. On March 1, satellite imagery showed smoke rising from damaged sections of the base following an Iranian strike. US intelligence later confirmed one service member was seriously wounded and subsequently died.
The Geopolitical Dimension MizarVision has also published imagery of Diego Garcia, Israeli positions, Australian naval movements, and TSMC’s semiconductor plant construction, extending the concern from conflict intelligence to strategic industrial surveillance. China officially maintains a neutral position on the Iran war. The firm operates within a Chinese government framework that analysts describe as providing Beijing “plausible deniability” — the ability to assist regional partners while avoiding direct military involvement.
As crypto.news reported, Iran has already struck tech and energy infrastructure across the Gulf as part of its asymmetric response strategy. As crypto.news noted, each confirmed escalation in the conflict has produced immediate crypto market sell-offs, with the AI targeting dimension now adding a new layer of unpredictability to any de-escalation timeline.
“Future wars will be shaped as much by who can interpret and weaponize data fastest as by who fields the most advanced missiles, aircraft, or air defense systems,” one GDC analyst assessed — a conclusion the MizarVision case has now made difficult to dispute.
U.S. stocks surged to one-month highs on Wednesday as a temporary ceasefire between the U.S. and Iran triggered the biggest single-day oil price collapse in years, easing concerns about energy-driven inflation and sparking a sweeping relief rally from airlines to semiconductors.
• State Street Energy Select Sector SPDR ETF shares are sliding. Why are XLE shares down?
President Donald Trump declared on Truth Social that Iran “has gone through what will be a very productive Regime Change” and pledged “there will be no enrichment of Uranium,” adding that many of the 15 negotiating points had been agreed to and that the U.S. would work with Tehran on tariff and sanctions relief.
The session was not without turbulence. Iran’s Foreign Minister Abbas Araghchi signaled that seriousness from the U.S. side would still be required to achieve lasting stability, while an early-morning report of an attack on Saudi Arabia’s vital east-west oil pipeline tested risk sentiment. Iran also signaled that Israeli strikes on Lebanon made after the ceasefire will trigger a strong response.
By midday in New York, WTI crude plunged 15.9% to around $95 per barrel — its steepest single-session drop since April 2020 — as Iran’s agreement to reopen the Strait of Hormuz eliminated a significant geopolitical premium that had built up in energy markets over five weeks of conflict.
Brent crude fell 13.3%, settling near $94.70 per barrel.
The yield on the 10-year U.S. Treasury note fell approximately three basis points to 4.27%, its lowest level in roughly three weeks, as the oil price collapse dampened inflation expectations.
Markets now price in roughly a 35% chance of a Federal Reserve rate cut by year-end, compared with near-zero odds at the start of the week.
Across U.S. equity markets gains were broad-based and led by technology, industrials, and consumer discretionary — precisely the sectors most sensitive to lower oil prices, falling yields and rebounding risk appetite.
The Russell 2000 climbed 3.1%, with small caps leading gains as the risk-on rotation broadened into rate-sensitive domestic stocks.
Spot gold edged up 1.0% to $4,756 per ounce, while Bitcoin (CRYPTO: BTC) held steady at $71,000.
Wednesday’s Performance In Major U.S. IndicesAccording to the Benzinga Pro platform:
Airlines Soar, Chips Surge As Energy Stocks Bear The BruntThe SPDR S&P Oil & Gas Exploration & Production ETF (NYSE:XOP) led industry losers with a decline of 6.2%.
Wednesday’s Top 5 Gainers (Russell 1000)Wednesday’s Top 5 Losers (Russell 1000)Market News and Data brought to you by Benzinga APIs
U.S. stocks held modest midday gains Thursday as tentative Lebanon–Israel diplomatic overtures introduced a fragile layer of optimism into an otherwise tense geopolitical backdrop.
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In a late-night post on Wednesday, President Donald Trump warned that all U.S. military assets would remain positioned near Iran "until such time as the real agreement reached is fully complied with," underscoring the conditional nature of any de-escalation.
Tehran, meanwhile, accused Washington of breaching ceasefire terms and reiterated threats against vessels awaiting transit through the Strait of Hormuz, which remained shut — a stark reversal from Wednesday's relief-driven rally that had sent equities higher while triggering a sharp unwind in energy prices and bond yields.
A fresh geopolitical development offered some relief. Israeli Prime Minister Benjamin Netanyahu confirmed that Lebanon had requested direct talks, with Israel agreeing to engage. A senior Lebanese official signaled that negotiations would require U.S. guarantees and begin with a temporary ceasefire framework.
In commodities, WTI crude rose 3.8% to $98.01 per barrel, paring earlier gains after briefly reclaiming the $100 level.
Across U.S. equities, gains remained narrow but broadly distributed by midday, with consumer discretionary and industrials leading, while software and cloud names weighed on growth indices.
The S&P 500 climbed 50 points, or 0.7%, to 6,833. The Dow Jones Industrial Average advanced 317 points, or 0.7%, to 48,227. The Nasdaq 100 gained 175 points, or 0.7%, to 25,078.
Gold rose 1.5% to $4,792 per ounce, supported by safe-haven demand, while Bitcoin (CRYPTO: BTC) added 1.5% to $71,170.
Thursday’s Performance In Major U.S. IndicesAccording to the Benzinga Pro platform:
Software Tumbles On AI ThreatsMinutes from the Federal Reserve's March meeting, released Thursday, showed a growing share of policymakers increasingly concerned that war-driven energy shocks could reignite inflationary pressures.
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Litecoin launched in 2011 as a payments network. For 14 years it has operated without native smart contracts, DeFi, or programmable assets. LitVM changes that.
LitVM is Litecoin’s first trustless EVM rollup, officially endorsed by the Litecoin Foundation. It is built on Arbitrum Nitro with Succinct’s SP1 zkVM for validity proofs and BitcoinOS’s Grail Bridge for trustless LTC transfers. Its LiteForge testnet is live, opening Litecoin to DeFi protocols, yield markets, and tokenized assets for the first time.
Every protocol that deploys on LiteForge needs pricing infrastructure. Lending markets mark collateral against oracle prices. DEXs quote reference rates. Without reliable feeds, nothing that touches price data ships.
DIA is now the oracle layer for LitVM.
Price feeds for BTC, LTC, ETH, USDC and other major assets are deployed on LiteForge (chain ID 4441). Both push and pull delivery are available. Each dApp on LitVM configures its own data sources, update frequency, and deviation or time-based triggers. Lending protocols and perp DEXs have different requirements from the same infrastructure.
DIA sources data directly from exchanges and onchain venues rather than relying on third-party aggregators. Every feed is transparent at the source level. Long-tail assets native to LitVM’s ecosystem can be supported on request.
DIA's transparent, source-level data feeds align with what we're building: a DeFi ecosystem where nothing is hidden and nothing is trusted blindly. We're proud to have DIA as LitVM's oracle infrastructure provider.
Aztec Amaya
Co-Founder, LitVM
LitVM’s roadmap extends into tokenized commodities, institutional yield, and AI applications. DIA’s product stack covers all three: RWA price feeds, proof of reserves and fundamental feeds, and verifiable randomness. These are available to LitVM builders as use cases emerge on the rollup.
The integration guide is available at diadata.org/docs/guides/chain-specific-guide/litvm. LitVM builders can request custom feed configurations or additional asset support by reaching out to the DIA team.
The Nasdaq 100 surged past 28,000 during Tuesday morning trading, setting a fresh record as AI-driven gains in semiconductor stocks continued to power the broader tech sector, defying pressure from elevated oil prices and geopolitical tension.
• State Street Materials Select Sector SPDR ETF shares are trending higher. What’s driving XLB shares up?
The S&P 500 climbed 0.8% to 7,259 by midday trading in New York, while the Dow Jones Industrial Average added 0.6% to 49,228 and the tech-heavy Nasdaq 100 jumped 1.1%.
Small-caps led the tape, with the Russell 2000 rallying 1.6% to 2,840 as falling Treasury yields lifted rate-sensitive corners of the market. The CBOE Volatility Index slipped 4.6% to 17.45, signaling a notable easing of risk aversion.
The driving force was a sharp drop in energy prices. WTI crude tumbled 4.1% to $102.08 a barrel and Brent slid 3.5% to $110.47 after President Donald Trump signaled progress in negotiations with Iran.
The 10-year Treasury yield ticked down to 4.07%, and the long bond eased to 4.42%, supporting interest-rate-sensitive sectors. The U.S. Dollar Index drifted lower as the euro firmed to 1.1700 and the British pound advanced to 1.3564.
Gold added 0.9% to $4,562 an ounce, while Bitcoin (CRYPTO: BTC) rebounded 1.9% to $81,404, lifting crypto-linked equities.
Tuesday’s Performance In Major U.S. Indices, ETFsAccording to Benzinga Pro platform:
Sector Performance: Materials Lead, Communications LagMicron Technology, Inc. (NASDAQ: MU) rallied 9.8% to $633 amid resilient AI-memory pricing and bullish hyperscaler capex commentary, while SanDisk Corporation (NASDAQ: SNDK) tracked higher in sympathy.
Bullish (NYSE: BLSH), a cryptocurrency exchange and blockchain technology company, led the entire Russell 1000 with a 13% surge to $45.99, riding renewed enthusiasm in digital-asset infrastructure as Bitcoin reclaimed $81,000.
Earnings reactions and idiosyncratic catalysts drove outsized single-name moves on Tuesday.
Russell 1000 Top GainersCompany% ChangeBullish+13%Waters Corp+12.2%Intel Corp+14.11%Rockwell Automation+11.8%Micron Technology+9.8%Russell 1000 Top LosersCompany% ChangeBellRing Brands-43.4%IPG Photonics-25.9%Inspire Medical Systems-16.4%Procore Technologies-10.6%Huntington Ingalls Industries-10.1% Photo: PJ McDonnell via Shutterstock
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The Nasdaq is down 1.30% while the S&P 500 has shed 0.94%.
Bitcoin Depot Warns Of Going Concern RiskRecently, Bitcoin Depot said it may not be able to continue as a going concern after reporting a sharp revenue decline, rising litigation costs and ongoing regulatory pressure tied to its Bitcoin ATM business. The company disclosed the risks in an 8-K filing with the U.S. Securities and Exchange Commission.
The company filed a Form 12b-25 on May 12, stating it could not complete its quarterly Form 10-Q for the period ended March 31, 2026, within the required deadline. Bitcoin Depot said it needed additional time to review financial statements related to a previously disclosed material weakness involving its cash-in-transit reconciliation process.
The company said state and municipal regulations restricting Bitcoin ATMs, transaction limits and fee caps, along with enhanced Know-Your-Customer compliance measures, significantly hurt transaction volume and revenue. Bitcoin Depot also disclosed more than $20 million in legal judgments accrued during the fourth quarter of 2025 and said ongoing litigation continues to strain resources.
Management concluded that "substantial doubt exists about the Company's ability to continue as a going concern."
Preliminary Q1 Results Show Sharp DeclineBitcoin Depot's preliminary first-quarter revenue fell $80.7 million, or 49.2% year over year, primarily due to lower transaction volume driven by regulatory changes and stricter compliance controls.
Gross profit dropped 85.5% to $4.5 million from $31.2 million a year earlier. The company reported a net loss of $9.5 million, compared with net income of $12.2 million in the prior-year quarter.
Operating expenses rose 32.3% year over year, mainly due to higher litigation costs. Cash and cash equivalents declined to $44 million as of March 31, down from $65.6 million at the end of 2025.
Bitcoin Depot said it is evaluating options including debt refinancing, asset sales, restructuring measures and other strategic transactions to address its financial challenges.
Technical AnalysisEven after Friday's jump, BTM is still in a longer-term downtrend: it's trading 45.8% below its 20-day SMA ($5.77) and 77.1% below its 200-day SMA ($13.69). That gap tells you the stock is trying to stabilize from a deeply damaged trend, but it hasn't reclaimed the moving-average "zones" that usually define healthier uptrends.
The bigger-picture trend signal remains heavy because the 50-day SMA is below the 200-day SMA (a death cross that occurred in November 2025). That said, the 20-day SMA is above the 50-day SMA, which can hint at a near-term basing attempt if price can start closing back above the shorter averages.
For momentum, MACD is the cleaner read right now: it's below its signal line and the histogram is negative, which points to fading upside pressure versus the prior upswing. In plain terms, when MACD is below its signal line, momentum is cooling unless buyers can push it back above that baseline.
From a structure standpoint, the stock is also coming off a recent swing low in March after a swing high in April, which frames the current move as a bounce inside a broader downtrend. With the 52-week range stretching from $48.16 to $1.91, BTM is still much closer to the low end of its yearly range than the high—another reminder that rallies may face overhead supply.
Key Resistance: $4.37 — aligns with the 50-day SMA, a common "first real test" area in rebound attempts Key Support: $1.91 — the 52-week low zone, where buyers previously defended the tape Company BackgroundBitcoin Depot operates one of the largest cryptocurrency ATM networks in North America, allowing users to buy and sell digital assets through physical kiosks and retail locations. The company went public through a SPAC merger and has since focused on scaling transaction volume while navigating regulatory and market pressures tied to the crypto sector.
Price ActionBTM Stock Price Activity: Bitcoin Depot shares were up 13.31% at $2.68 at the time of publication on Friday, according to Benzinga Pro data.
Image via Shutterstock
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U.S. stocks climbed to fresh record highs by midday Friday as investors piled further into the artificial-intelligence trade following a blockbuster forecast from Dell Technologies Inc. (NYSE:DELL).
Dell surged 28% after reporting first-quarter revenue of $43.8 billion, an 88% increase from a year earlier, alongside adjusted earnings of $4.86 per share.
The company disclosed $24.4 billion in AI-related orders and dramatically raised its fiscal 2027 outlook, projecting revenue of $165 billion to $169 billion versus Wall Street expectations of roughly $144 billion.
Dell also boosted its AI server revenue target to approximately $60 billion, reinforcing optimism around the broader AI infrastructure buildout.
Meanwhile, easing geopolitical tensions in the Middle East continued to pressure energy markets. U.S. crude oil futures fell to $87 a barrel, leaving WTI on track for a second consecutive weekly decline.
Adding to the risk-on mood, President Donald Trump said Friday that “the Hormuz Strait must be immediately open, no tolls, for unrestricted shipping traffic, in both directions,” adding that the U.S. naval blockade “will now be lifted” as he headed to the Situation Room to make a final decision on a proposed agreement with Iran.
Within U.S. equity markets, gains were concentrated in large-cap technology shares, while small caps and defensive sectors lagged.
The S&P 500 advanced 0.2% to 7,581.84, extending its monthly gain to nearly 5%. The benchmark index is also on pace for a ninth consecutive weekly advance — a streak achieved only 10 times since World War II.
The Dow Jones Industrial Average rose 378 points, or 0.8%, to a record 51,047.02.
The small-cap Russell 2000 underperformed, slipping 0.7% to 2,915.80.
In commodity markets, gold gained 1.5% to roughly $4,564 an ounce as Treasury yields retreated, while Bitcoin (CRYPTO: BTC) traded little changed near $73,742.
Friday’s Performance In Major US IndicesAccording to the Benzinga Pro platform:
Dell’s AI Blowout Powers The Server TradeTechnology led the tape, with the Technology Select Sector SPDR Fund (NYSE:XLK) out front as AI hardware and software names rallied.
Costco Wholesale Corp. slid 4.7% after third-quarter EPS of $4.93 narrowly missed the $4.98 consensus on margin pressure and a lofty valuation, despite a revenue beat.
Friday’s Russell 1000 Top GainersFriday’s Russell 1000 Top LosersPhoto: Shutterstock
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U.S. stocks retreated from record highs at midday Wednesday as hotter-than-expected economic data and a renewed surge in Treasury yields revived fears the Federal Reserve could soon raise interest rates.
The S&P 500 fell 0.6% to around 7,568, putting a nine-session winning streak in jeopardy. A late-day rebound back into positive territory would instead stretch the run to 10 days, its longest since 1995.
Treasuries Sold Off SharplyThe yield on the 10-year note climbed about 6 basis points to 4.50%, the 2-year rose to 4.10%, and the 30-year held at 5.00%.
The move followed ADP data showing the private sector added 122,000 jobs in May, above forecasts and the strongest reading since January 2025, alongside a stronger-than-expected ISM Services index at 54.5 and a 4.8% jump in factory orders.
The small-cap Russell 2000 underperformed, falling 1.2%.
Meanwhile, the latest Iranian strikes and a sharp drop in U.S. crude inventories lifted oil for a third straight session.
West Texas Intermediate crude rose 2.5% to trade above $96 a barrel, while Brent climbed 2.0% toward $98, extending a third consecutive daily advance after government data showed U.S. crude inventories fell by roughly 8 million barrels last week, far more than expected.
Bitcoin (CRYPTO: BTC) fell for the fourth straight session to $65,900, reaching lows last seen in late March.
Wednesday’s Performance In Major US IndicesAccording to Benzinga Pro:
Energy Leads As Oil Reclaims $96, Software Rout Sinks TechMarvell has now rallied over 50% in the past three sessions, on pace for the strongest rally since October 2001.
Wednesday’s Russell 1000 Top GainersWednesday’s Russell 1000 Top LosersImage: Shutterstock
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As part of efforts to power safe development of DeFi applications on its Web3 ecosystem, LitecoinVM, a Layer-2 solution designed to bring smart contracts and EVM compatibility to the Litecoin blockchain, today entered into a strategic partnership with DIA Oracles, a trustless blockchain oracle platform that delivers verifiable data feeds to onchain applications.
LitecoinVM is an EVM-compatible, zero-knowledge layer-2 rollup built on Litecoin, designed to bring smart contract functionality, DeFi utilities, and real-world asset tokenization to the Litecoin blockchain, which previously lacked these capabilities.
The above collaboration enabled LitecoinVM to integrate DIA open-source oracle infrastructure, ensuring that DApps (decentralized applications) and related development activities on the layer-2 network have access to reliable data feeds that are widely utilized across DeFi.
Why LitecoinVM Integrates DIA Oracles With the integration of DIA oracles, LitecoinVM resolves the common fundamental challenge: smart contracts’ inability to natively access off-chain data (data that exists outside the blockchain environment). For DApps on the LitecoinVM and interconnected chains to efficiently operate and fully unlock their capability in areas such as DeFi, NFTs, gaming, RWA, and several other Web3 utilities, they need to access real-world data. This is the function that DIA oracles come to play in LitecoinVM.
The integration of DIA oracles on the layer-2 network allows Litecoin developers to bring real-world data into LitecoinVM smart contracts, improving the functionality and utility of their DApps. DIA oracle incorporation ensures that DApps on the LitecoinVM layer have access to reliable, real-world data feeds.
Building Robust DeFi Applications for User Experience The infusion of DIA oracles into LitecoinVM smart contracts unleashes a huge variety of opportunities for Litecoin developers. This enables them to access real-world data and also expand the functionality of LitecoinVM smart contracts beyond purely on-chain activities, bringing real-world events into decentralized applications seamlessly and securely on the Litecoin DeFi ecosystem. This tech incorporation enables developers to build powerful, data-driven DApps on LitecoinVM, which are trustless, transparent, and secure.
Developers building DeFi platforms, NFT assets, and various Web3 applications require real-time data, explaining why the DIA oracle integration is crucial for strong, real-world functionalities of DApps on LitecoinVM. By capitalizing on the DIA oracle solution, LitecoinVM brings their DApps to life with reliable data feeds.
AUTHOR
Nicholas Otieno is a fintech writer specializing in cryptocurrency markets. Since 2019, he has written articles to educate readers about cryptocurrency and its substantial positive impact on global prosperity. Nicholas is a Bitcoin holder, believing firmly in its fundamentals. His work has been featured in publications such as Finance Magnates, Blockchain.News, Bitcoin Magazine, Coincub, and among others. When he's not writing, Nicholas enjoys performing domestic tasks, spending time with friends, listening to music, and watching football.
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