Crypto World
Backpack and Sunrise Roll Out Tokenized SpaceX Shares on Solana Chain
TLDR
- SPCX represents tokenized SpaceX shares issued through Backpack Securities.
- Token can be redeemed for underlying equity via regulated brokerage access.
- Sunrise provides infrastructure for issuance and Solana integration.
- SPCX trades on Solana with self-custody wallet support.
- Launch aligns with SpaceX’s Nasdaq listing day for dual-market access.
SpaceX shares will begin trading on Solana alongside Nasdaq listing via tokenization. Backpack Securities and Sunrise will launch SPCX representing SpaceX equity onchain. The token enables trading, redemption, and self-custody across Solana venues.
SpaceX Stock Token Launches on Solana Network
Backpack issues SPCX as a tokenized claim on SpaceX shares. Eligible users can redeem tokens for underlying shares through brokerage. The firms link brokerage accounts with blockchain settlement systems.
Sunrise provides infrastructure supporting the issuance and distribution of SPCX tokens. The token targets Solana for fast settlement and continuous trading access. Holders may transfer SPCX within supported wallets and platforms.
Backpack states SPCX can move between the token and equity forms. The structure allows redemption and re-tokenization through verified accounts. Trading will operate outside normal market hours on Solana.
Solana Trading Expansion for Tokenized Equities
The launch places SpaceX exposure onchain on listing day. Solana supports continuous trading beyond traditional exchange hours. Backpack integrates custody tools with regulated brokerage services.
SPCX can be stored in self-custody wallets securely. Users can trade tokens across supported Solana venues globally. The system mirrors traditional equity ownership through blockchain records.
Backpack CEO Armani Ferrante described portability across financial systems. “It is making underlying securities portable across financial systems.” The statement highlights integration between brokerage and blockchain rails.
Tokenized equities continue expanding across crypto markets this year. Firms experiment with blockchain rails for traditional asset exposure. SPCX enters this trend with regulated brokerage backing.
Solana supports high-speed settlement for tokenized trading systems. Developers build infrastructure for continuous financial market access. Backpack uses this network for SPCX distribution and trading.
Sunrise coordinates the issuance process with regulated brokerage partners. Token structure links shares with redeemable blockchain units. Users access SPCX through approved wallets and platforms.
Nasdaq listing proceeds separately from onchain SPCX trading. Both markets operate simultaneously for SpaceX exposure access. This dual structure enables parallel price discovery mechanisms.
Backpack ensures compliance through brokerage custody arrangements. Redemption requests convert tokens into underlying equity shares. Verification processes govern eligible participant access.
Solana venues support peer-to-peer SPCX transfers. Self-custody options give users direct asset control. Trading remains active beyond conventional market schedules.
The product aligns tokenized finance with traditional equity markets. Backpack integrates brokerage systems with blockchain infrastructure layers. Sunrise manages technical issuance workflows for token distribution.
SPCX availability begins with the SpaceX Nasdaq listing day. Trading access expands through Solana-based applications and wallets. Backpack continues rollout across supported jurisdictions and partners.
Crypto World
Bitcoin ETFs pull in $233M as BlackRock leads
U.S. spot Bitcoin ETFs attracted $233.1 million in net inflows on July 30, recording their strongest daily result in more than three weeks.
Summary
- $233.1 million entered U.S. spot Bitcoin ETFs, marking their strongest daily inflow since July 6.
- IBIT captured 78.7% of daily inflows, adding $183.4 million while reporting $47.67 billion in assets.
- July flows reached $438 million through Thursday, positioning the funds to reverse two losing months.
BlackRock’s iShares Bitcoin Trust led the session with $183.4 million, according to Farside Investors’ daily flow table.
The inflow returned the funds to positive territory for both the week and July. However, the session represents renewed buying rather than proof of a lasting reversal. The SoSoValue Bitcoin ETF dashboard reported total net assets of about $78.76 billion after the July 30 session.
Bitcoin ETFs returned to positive weekly flows
BlackRock’s IBIT accounted for 78.7% of the daily total. Bitwise’s BITB followed with $20.7 million, while Fidelity’s FBTC added $15.5 million. Morgan Stanley’s MSBT received $7.4 million, VanEck’s HODL added $2.3 million and Grayscale’s Bitcoin Mini Trust recorded another $2.3 million.
ARK 21Shares’ ARKB added $1.5 million, while the remaining products recorded no flows. No fund reported a net outflow during the session, making the rebound broader than an IBIT-only increase, although BlackRock still supplied most of the demand.
The funds entered July 31 with about $203.9 million in weekly net inflows, based on Farside’s figures for Monday through Thursday. A Friday outflow larger than that amount would return the week to negative territory. Otherwise, the products would complete a fourth consecutive positive week.
However, Bitcoin ETFs began July by ending a ten-day withdrawal run with $221.7 million in inflows. Demand then strengthened and weakened several times, showing that institutional flows remained uneven rather than moving in one direction.
BlackRock’s IBIT controlled most of the rebound
IBIT’s $183.4 million inflow was its largest since July 6, when the fund attracted $209.4 million. That earlier session helped the broader ETF group collect $265.7 million, which remains July’s strongest daily result through July 30.
BlackRock’s official IBIT fund page listed $47.67 billion in net assets and almost 1.3 billion shares outstanding on July 30. The fund’s net asset value rose 1.26% that day to $36.68, while its Bitcoin benchmark stood at $64,764.70.
IBIT therefore represented more than 60% of the approximately $78.76 billion held across the U.S. spot Bitcoin ETF group. Its size means changes in BlackRock’s creations and redemptions can heavily influence the combined daily total.
As crypto.news reported earlier in July, IBIT’s return to inflows followed a prolonged period of weak activity and repeated withdrawals. The latest session extends that recovery, but BlackRock also recorded outflows on July 27 and July 28 before returning to positive flows.
July may end two months of Bitcoin ETF outflows
Farside’s daily figures show approximately $438.2 million in net Bitcoin ETF inflows from July 1 through July 30. SoSoValue’s total was slightly lower at about $437.8 million, reflecting small differences in data timing and calculation methods.
A positive July would end two consecutive months of withdrawals. Farside data indicate that the products lost about $2.41 billion in May and $4.51 billion in June. The July recovery has therefore regained only a small part of the capital removed during those months.
crypto.news examined the record 13-day outflow streak that removed approximately $4.37 billion between May 15 and June 3. Total ETF assets fell sharply during that period as redemptions combined with Bitcoin’s declining market price.
The latest daily inflow is constructive, but it remains modest compared with the fund group’s total assets. A longer sequence of positive sessions would provide stronger evidence that investors are rebuilding exposure rather than making short-term allocations.
Bitcoin’s price has not confirmed a wider reversal
Bitcoin traded near $63,144 on July 31, according to CoinGecko market data. Its 24-hour range extended from approximately $62,785 to $65,006, leaving the asset below the benchmark price used for BlackRock’s July 30 fund valuation.
ETF assets and Bitcoin’s price rose strongly through much of 2024 and 2025 before declining from their later peaks. The July 30 inflow interrupted a more inconsistent flow pattern, but one session cannot establish that the longer decline has ended.
ETF creations can support demand because authorized participants facilitate new fund shares and the trusts increase their Bitcoin exposure. However, Bitcoin also responds to derivatives positioning, macroeconomic conditions, exchange activity and sales by existing holders. ETF flows should therefore be treated as one market indicator rather than a standalone price signal.
Ethereum ETFs added a smaller $13M inflow
U.S. spot Ethereum ETFs also returned to positive daily flows. SoSoValue’s Ethereum ETF dashboard reported approximately $13.29 million in net inflows on July 30, led by BlackRock’s ETHA with $16.24 million.
Farside calculated a slightly lower group total of $12.8 million. Its table showed ETHA adding $16.2 million, while Fidelity’s FETH lost $2.9 million and Grayscale’s ETHE recorded $1.6 million in outflows. Smaller inflows into Bitwise’s ETHW and 21Shares’ TETH partially offset those withdrawals.
BlackRock’s official ETHA page listed $5.57 billion in net assets on July 30. Its NAV increased 1.11% to $14.50, while the fund’s Ether benchmark stood at $1,922.06.
The final July result will depend on flows recorded during the July 31 U.S. trading session. Investors will watch whether Bitcoin ETFs preserve their weekly and monthly gains and whether Ether products extend their more frequent July inflows.
Crypto World
AFX schedules Aug. 3 goodwill plan following $24.15M bridge hack
AFX has announced that it has prepared a goodwill plan for users affected by last week’s $24.15 million bridge exploit, with the recovery proposal scheduled for release on Aug. 3.
Summary
- AFX will announce a goodwill plan for users affected by its $24.15 million bridge exploit on Aug. 3.
- The protocol said its investigation found the attack began with a social engineering campaign that compromised internal development infrastructure.
- AFX said the exploit targeted its own custody bridge and did not affect Arbitrum’s native bridge.
- The protocol has rebuilt key infrastructure and introduced additional security measures while recovery efforts continue.
According to an announcement shared by AFX, the decentralized derivatives protocol is finalizing a goodwill plan following the July 22 security incident and will publish the details on Monday, Aug. 3. The team said investors, employees and early supporters had all been affected by the attack and asked the community to remain patient while it completes the final proposal.
The update comes after AFX completed its technical investigation into the exploit, which resulted in the theft of about 24.15 million USDC from an AFX-operated custody bridge. The protocol has not yet disclosed how compensation or recovery will be structured, but said its next announcement will focus on the goodwill plan.
Earlier public statements confirmed the exploit targeted infrastructure operated by AFX rather than Arbitrum’s native bridge. At the time, blockchain security firm Blockaid and the Arbitrum team investigated the incident, while Offchain Labs co-founder Steven Goldfeder said the suspicious transaction originated from a third-party protocol instead of Arbitrum’s core bridge.
AFX says attack started with a developer
In a detailed post-mortem released after the incident, AFX said the breach originated from a social engineering campaign against one of its developers rather than a vulnerability in its smart contracts or blockchain infrastructure. According to the protocol, the attacker posed as a recruiter from a company called Oddium Lab on July 9 and convinced the developer to clone what appeared to be a legitimate software repository.
AFX said the repository contained a malicious Git configuration that executed a hidden payload during a routine Git workflow, giving the attacker an initial foothold inside the developer’s workstation. Using the compromised device, the attacker gradually expanded access across internal development systems before downloading project source code several days later.
The investigation said the attacker later uploaded a malicious Groovy plugin into the protocol’s JFrog artifact repository, obtaining remote code execution inside the software delivery environment. According to AFX, repeated out-of-memory events on the JFrog server were initially treated as operational problems with assistance from the vendor, allowing the malicious plugin to survive multiple restarts without triggering a security response.
Forensic analysis later found that the attacker had replaced system binaries with trojanized versions, injected malicious shared libraries and attempted to erase security logs before portions of the malware crashed. SELinux logs captured outbound command-and-control traffic, shell execution and in-memory code execution that became important evidence during the investigation, according to the report.
Validator compromise enabled the bridge theft
The protocol said the attacker eventually pivoted from the compromised development environment into its operational infrastructure using an internal Ansible-based management service that already held privileged access to validator nodes. Rather than stealing new credentials or exploiting an external service, the attacker used existing trust relationships to deploy malicious payloads across a subset of validators.
AFX said the infected validator nodes downloaded a second-stage payload from a remote server before interfering with consensus-message handling. At 9:27 p.m. UTC on July 22, the affected validators co-signed a bridge transaction that transferred roughly 24.15 million USDC from the AFX-operated custody bridge.
The protocol said its investigation found no evidence that the Arbitrum network or Arbitrum’s native bridge had been compromised. The attack remained confined to infrastructure managed by AFX, matching statements previously issued by Offchain Labs and Blockaid during the initial response.
On-chain investigators later tracked the stolen USDC after it moved from Arbitrum to Ethereum, where the proceeds were converted into approximately 12,467 ETH. At the time of the initial investigation, no public reports confirmed that any portion of the stolen assets had been recovered.
Investigation points to supply chain compromise
According to AFX, the incident demonstrated that software supply chain attacks can bypass blockchain security without exploiting smart contracts directly. The protocol concluded that the attack relied on trusted development tools, internal deployment systems and validator infrastructure instead of weaknesses in on-chain code.
The report said the protocol has rebuilt affected infrastructure, rotated operational credentials, increased monitoring sensitivity and migrated production systems into a more isolated environment with zero-trust segmentation. Additional work planned over the coming months includes stronger behavioral monitoring, mandatory security reviews before restarting production services, expanded threat-hunting exercises and employee training against social engineering attacks.
Based on forensic evidence, attack techniques and infrastructure observed during the investigation, AFX said its findings are consistent with independent attribution linking the incident to UNC4899, also known as TraderTraitor, a DPRK-linked threat group tracked by Mandiant, Microsoft Threat Intelligence, the FBI and CISA. The protocol said it continues working with external security partners to trace the stolen assets and support ongoing response efforts.
Off-chain attacks have surfaced in multiple DeFi exploits
The latest findings add to a series of incidents in which protocols have concluded that attackers compromised supporting infrastructure instead of exploiting flaws in smart contracts.
On July 30, Ostium said its investigation into a separate 23.75 million USDC exploit found that unauthorized access to off-chain infrastructure allowed fraudulent BTC-USD price reports to drain funds from its liquidity vault, while its smart contracts and governance multisigs remained uncompromised.
Earlier this month, Singapore-based stablecoin payments firm Triple-A also disclosed unauthorized access to treasury wallets holding company-owned digital assets, although it said customer funds and payment operations were unaffected.
Crypto World
Swan Treasury loses $625K after signer key leak enables discounted STY purchases
Blockchain asset management protocol Swan Treasury has suffered an estimated $625,000 loss after attackers exploited a leaked off-chain signer key to buy STY tokens at a steep discount before selling them for profit.
Summary
- Swan Treasury lost about $625,000 after attackers exploited a compromised off chain signer key on BNB Chain.
- The attacker bought about 687,000 STY at a 100 times discount using forged signatures and a PancakeSwap flash loan.
- Forged claim and transfer signatures allowed the attacker to sell the tokens into the STY USDT pool for profit.
- Security analysis found the transactions were signed with the protocol’s compromised signer key rather than exploiting a flaw in signature verification.
According to blockchain security firm Defimon Alerts, the exploit took place on BNB Chain after the protocol’s off-chain signer key, hardcoded as the _signer address in the ZhaiquanBuy contract, was compromised.
The attacker used the leaked key to generate valid signatures for their own wallet, allowing them to bypass the protocol’s intended purchase restrictions.
Swan Treasury exploit relied on leaked signer key
Defimon Alerts said the attacker manipulated the buy() function, which calculates the amount of STY a user receives based on a signed discount value. By generating a valid signature with the discount parameter set to one, the attacker purchased STY at roughly one-hundredth of its intended price.
Using a PancakeSwap flash loan worth about 19,700 USDT, the attacker acquired nearly 687,000 STY tokens through the discounted purchase mechanism.
The security firm said the exploit did not stop there. Valid signatures were also forged for the protocol’s claim() and transfer() functions on related contracts, giving the attacker additional access to STY before selling the tokens into the STY/USDT liquidity pool.
After unwinding the position, the attacker realized about 625,000 USDT in profit, according to Defimon Alerts.
STY traded at approximately $2.87 at the time of the incident, the firm’s alert noted.
Transaction analysis points to a compromised private key
In its technical assessment, Defimon Alerts said every ecrecover operation observed during the exploit resolved to the protocol’s hardcoded signer address rather than any attacker-controlled account.
The firm said this behavior indicates the private signer key itself had been compromised instead of the protocol containing a flaw in its signature verification logic. Because the generated signatures matched the expected signer exactly, the transactions appeared valid to the affected smart contracts.
The finding narrows the likely cause of the exploit to unauthorized access to the protocol’s signing credentials rather than an error in the cryptographic verification process.
At the time of publication, Swan Treasury had not publicly explained how the signer key was exposed or whether additional mitigation measures had been implemented.
Private key compromises continue to drive crypto losses
The incident adds to a series of crypto attacks in which compromised privileged keys, rather than smart contract bugs, allowed attackers to access protocol funds.
In June 2025, blockchain security company Hacken disclosed that a compromised private key tied to a contract with minting privileges enabled an attacker to create 900 million HAI tokens across Ethereum and BNB Chain.
Hacken said the key was exposed while the company was making architectural changes to its blockchain bridge infrastructure, allowing the attacker to realize about $250,000 before the affected minting account was revoked and bridge operations were paused.
Separate research has also continued to identify private key exposure as one of the industry’s most persistent security risks. A Hacken report cited by crypto.news previously found that access control failures, including private key leaks, accounted for 78% of crypto hack losses recorded during 2024.
More recently, Zilliqa disclosed a flaw in its native Ledger application that could allow attackers to recover private keys from public transaction signatures. The network suspended native ZIL transactions after determining that a weakness in nonce generation made it possible to reconstruct affected keys once enough signatures had been collected.
Zilliqa said the issue stemmed from its own Ledger application rather than Ledger hardware itself and instructed affected users to wait for recovery guidance instead of moving funds immediately.
Security researchers continue warning about key exposure
Academic researchers and crypto industry players have likewise warned that private key security remains vulnerable outside traditional smart contract exploits.
Researchers from the University of California reported earlier this year that some third-party AI routing services were capable of accessing sensitive credentials, including cryptocurrency private keys and seed phrases, because they process user requests in plaintext.
During controlled testing, the researchers observed malicious behavior from several routing services and demonstrated that one intermediary successfully drained Ether from a test wallet after receiving its private key.
While the university study was unrelated to the Swan Treasury incident, the researchers concluded that developers should avoid exposing private keys or seed phrases to intermediary systems and instead rely on stronger cryptographic protections to reduce credential theft risks.
Crypto World
Bitcoin miner capitulation deepens as difficulty falls 19.9%
Bitcoin miners entered one of their longest periods of contraction by July 31, even as shares of several listed operators climbed on expectations for AI data-center revenue.
Summary
- 19.9% difficulty decline places mining in its third-deepest ASIC-era drawdown, according to Bitcoin Magazine Pro.
- 12% hashrate retreat from December’s peak coincides with low hashprice and expanding artificial-intelligence contracts globally.
- Hut 8’s AI leases total $26.6 billion, helping explain mining stocks’ divergence from Bitcoin prices.
Bitcoin Magazine Pro calculated that mining difficulty had fallen 19.9% from its peak, making the decline the third deepest since application-specific integrated circuits replaced graphics processors as the industry’s main hardware.

Independent network data confirm the broader contraction. Bitcoin’s difficulty fell 0.74% on July 25 to 126.23 trillion after a larger 5% cut on July 11. The current level is about 19% below the record of roughly 156 trillion set in November 2025.
Bitcoin traded near $63,100 on July 31, down about 47% over 12 months and almost 50% below its October 2025 record. That price decline has reduced dollar revenue for miners while the protocol continues issuing only 3.125 BTC per block.
Bitcoin miner capitulation is visible in network data
Bitcoin’s seven-day average hashrate stood near 868 exahashes per second on July 29, down from more than one zettahash per second at its late-2025 peak. Hashrate Index placed the broader 30-day measure near 940 EH/s in its third-quarter review, about 12% below the December record of 1,066 EH/s.
Different data providers use different averaging windows, so they may not identify the same starting date for the decline. Bitcoin Magazine Pro’s claim that the drawdown had lasted 287 days reflects its chosen hashrate series. The precise duration may vary, but the downward direction is clear across public datasets.
Difficulty has also turned negative on a year-over-year basis for only the second time in Bitcoin’s history, according to Luxor’s Hashrate Index. The previous instance followed China’s 2021 mining ban, when a large share of global equipment shut down before relocating to other countries.
The present contraction has no single policy-driven cause. Hashrate Index attributes it to compressed mining revenue, Bitcoin’s lower price, less-efficient hardware shutting down and power capacity moving into AI and high-performance computing. It recorded two consecutive quarterly hashrate declines through June.
Hashprice, which measures expected daily revenue from one petahash of computing power, stood near $32 per PH/s per day late in July. Older fleets can struggle to remain cash-positive around $30 to $35 unless operators have electricity below roughly five cents per kilowatt-hour.
As previously reported, listed miners sold more than 32,000 BTC during the first quarter of 2026. The total exceeded their combined sales during all of 2025, as companies raised cash for debt, operating costs and data-center construction.
AI deals explain why mining stocks broke from Bitcoin
Mining stocks traditionally behaved like leveraged Bitcoin exposure. Rising Bitcoin prices improved mining revenue and lifted equity valuations, while falling prices compressed margins and pushed miner shares down faster than the asset.
That relationship has weakened because investors increasingly value some operators as energy and AI infrastructure companies. A basket of mining equities gained 56% during the early part of 2026 while Bitcoin fell 17%, according to research cited in related crypto.news coverage.
Hut 8 provides one of the clearest examples. On July 20, the company signed a second 15-year lease for 352 megawatts at its Beacon Point campus in Texas. The agreement raised the campus’s base-term contract value to $19.6 billion and Hut 8’s total contracted AI portfolio to $26.6 billion. Initial delivery for the second phase is scheduled for the second quarter of 2028.
Hut 8’s shares more than quadrupled over the preceding 12 months and rose 11% after the second Beacon Point agreement, according to market data reported by Barron’s. Those gains reflect expected future lease revenue rather than stronger Bitcoin-mining economics.
Core Scientific reported another large expansion on July 28. The company announced an AMD partnership anchored by 15-year agreements covering about 530 MW and more than $14 billion in potential base contracted revenue. It said its total leased customer capacity had reached roughly 1.1 GW, representing more than $24 billion in potential contracted revenue.
Meanwhile, TeraWulf’s AI and HPC lease revenue reached $21 million in the first quarter, overtaking its Bitcoin-mining revenue for the first time. Mining generated less than $13 million during the period.
These agreements help explain why falling hashrate and rising miner stocks can occur together. Operators can shut down inefficient mining equipment while preserving valuable power connections, land and data-center infrastructure for higher-value workloads.
However, announced contract values are not the same as revenue already received. Many projects require years of construction, outside financing and customer deployment. Delays, cost overruns or weaker AI demand could challenge valuations built around future capacity.
Bitcoin Magazine Pro wrote that miners had “found something more profitable to do with their hardware.” The statement captures the market’s current thesis, but it does not apply equally to every miner. Some locations cannot meet the networking, cooling or reliability standards required for AI workloads, while efficient mining sites may remain profitable.
Bitcoin fees remain too small to replace the subsidy
Miner revenue consists of the fixed block subsidy and transaction fees. The subsidy has declined from 50 BTC in 2009 to 3.125 BTC after the April 2024 halving. It is expected to fall to 1.5625 BTC at the next halving, currently projected for 2028.
Bitcoin Magazine Pro said BTC-denominated block-reward revenue recently reached its lowest daily level on record. That claim requires context. Lower BTC-denominated issuance is largely a programmed outcome of halvings, while slower-than-target block production can temporarily reduce daily issuance before the next difficulty adjustment.
Dollar revenue can still rise when Bitcoin appreciates. Therefore, a record low measured in BTC does not automatically represent a record low security budget in U.S. dollar terms.
Transaction fees are providing little support. Miners collected about 20 BTC in fees during the seven days through July 13, equal to roughly 2.86 BTC per day. That was below the 3.125 BTC subsidy paid by a single block and represented only 0.69% of total block rewards for that week.
The comparison supports Bitcoin Magazine Pro’s broader point, although the exact result depends on the period measured. Fee demand can rise rapidly during congestion, token launches or other periods of intense blockspace competition.
For now, fees remain far from replacing issuance. At approximately 144 blocks per day, the network creates about 450 BTC in daily subsidy when blocks arrive on schedule. Fee income of less than 3 BTC per day covers only a small share of that amount.
This gap matters over decades rather than weeks. Every future halving will reduce issuance, requiring some combination of higher Bitcoin prices, greater fee demand, improved mining efficiency or a smaller amount of economically sustainable hashrate.
In related coverage, crypto.news reported that the long-term security-budget debate depends on several uncertain variables, including future fees, hardware efficiency, energy costs and Bitcoin’s market value. Current fee weakness does not prove that the network will face a security failure.
Falling hashrate is not an immediate security crisis
Bitcoin remains secured by hundreds of exahashes per second of computing power. The protocol also adjusts difficulty every 2,016 blocks to bring average block production back toward ten minutes when machines enter or leave.
Lower difficulty improves conditions for the miners that remain. Each unit of surviving hashrate competes against less total computing power and can earn a larger share of the fixed block rewards.
That mechanism can stabilize the network after a miner capitulation. Weak operators leave, difficulty falls and lower-cost miners gain revenue share. A 19.9% decline from the peak therefore signals industry stress, but it also shows that Bitcoin’s adjustment mechanism is responding as designed.
Still, the current cycle differs from earlier contractions. Some hardware is not merely being shut down temporarily. Power contracts and data-center sites are entering AI leases that can last 15 or 20 years, making their return to Bitcoin mining less likely.
Luxor described the trend as “a structural shift, not just a cyclical low.” Its research found that listed miners had announced more than $70 billion in AI and HPC contracts, while network hashrate experienced its second consecutive quarterly decline.
The next difficulty adjustment, expected around August 9 to August 11 depending on block production, will provide another network checkpoint. A further reduction would show that miners continued leaving after the July 25 reset. Stable or rising difficulty would suggest that the contraction had begun to slow.
Investors will also watch Hut 8’s second-quarter results on August 4, new AI-capacity delivery schedules and whether miners continue selling Bitcoin reserves.
FAQs
Why are Bitcoin mining stocks rising while hashrate falls?
Several listed miners now hold multibillion-dollar AI and HPC contracts. Investors are valuing their secured power, data-center land and future lease revenue rather than relying only on Bitcoin production.
Does falling difficulty mean Bitcoin is less secure?
Falling difficulty shows that less computing power is competing to produce blocks. Bitcoin still has a very large hashrate, and no verified evidence indicates an immediate security crisis. The protocol lowers difficulty to maintain block production when miners leave.
Are all Bitcoin miners moving into AI?
No. AI conversions require strong grid connections, fiber networks, advanced cooling and large amounts of capital. Efficient miners with cheap power may continue focusing on Bitcoin, while operators with suitable sites pursue AI contracts.
What would show that miner capitulation is ending?
Key signals include stable hashrate, difficulty beginning to rise, hashprice moving above operating costs and reduced treasury selling. A sustained Bitcoin recovery would also improve dollar-denominated mining revenue.
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
Crypto World
NEAR lets users pay for AI services by staking tokens
NEAR Protocol has launched a staking-based payment system for its AI platform, allowing users to access confidential inference and autonomous AI agents by locking NEAR tokens instead of paying with a credit card.
Summary
- NEAR Protocol has launched staking based AI payments that convert locked NEAR into monthly compute credits for AI services.
- Users can access all 43 AI models on NEAR AI without a credit card, while retaining ownership of their staked tokens until they choose to unstake.
- NEAR said the system supports confidential AI inference and always on agents through an onchain staking mechanism.
- The launch adds a new utility for NEAR staking after earlier initiatives including an institutional staking fund and a network upgrade that reduced token inflation.
According to an announcement published by NEAR Protocol on X, the new feature converts staked NEAR into monthly compute credits that can be used across the platform’s artificial intelligence services.
The protocol said users can adjust the amount they stake based on their computing needs, while the underlying tokens remain locked rather than spent and become available again after unstaking.
The rollout covers all 43 AI models currently available through NEAR AI, including models from Anthropic, OpenAI and Google. NEAR Protocol said the mechanism removes the need for a cloud billing account, stored payment credentials or a credit card to access those services.
The protocol described the launch as one of the first production systems to let users pay for confidential AI inference and always-on agents through onchain staking. In its announcement, NEAR said the feature brings together “the NEAR you hold and the AI you run, joined without a card in between.”
NEAR staking converts locked tokens into AI compute credits
Under the new system, users stake NEAR before using AI services, with the amount locked determining how many monthly compute credits they receive. According to NEAR Protocol, larger staking positions generate more compute points, allowing users to scale usage without moving to a different payment model.
Unlike a traditional subscription where funds are spent each billing cycle, the protocol said the staked tokens themselves are not consumed while the service is being used. Users can increase their stake to obtain additional one-time credits, reduce it when usage declines or withdraw their tokens completely by unstaking.
NEAR Protocol said every supported AI model on NEAR AI is available through the staking mechanism, allowing developers and users to switch between providers without changing how they pay for inference or agent hosting.
Describing the design, the protocol said users can “stake the token and it converts into monthly compute credits that scale with the size of your stake,” while the capital “is not spent but staked, and it returns to your wallet when you unstake.”
The company also framed the feature as part of its effort to let users keep control of their assets and credentials while interacting with AI services. According to the announcement, confidential inference and hosted agents can run without requiring users to hand over payment information to third-party platforms.
NEAR ties AI usage to token staking
Alongside the product launch, NEAR Protocol connected the payment model to its long-term view of an AI-driven onchain economy. The protocol argued that if software agents become primary participants in digital markets, the assets securing blockchain networks could also become the assets used to pay for machine-generated work.
According to NEAR Protocol, staking for AI turns the token into a recoverable payment instrument instead of a consumable expense. Rather than purchasing credits that disappear after use, users temporarily lock tokens while accessing computing resources and receive them back after the staking period ends.
The protocol wrote that “staking NEAR equates to AI usage, prepaid in a form you can recover,” adding that the payment process, staking and unstaking all remain onchain throughout the lifecycle.
NEAR also argued that the same token supports two functions at once by helping secure the blockchain while simultaneously paying for AI computation. The company presented that approach as part of what it calls the “agent economy,” where digital assets secure network infrastructure while also facilitating automated economic activity.
AI payments add another use case for NEAR token
Beyond user payments, NEAR Protocol said staking AI fees could influence the network’s token economics because the locked assets remain out of circulation while supporting AI workloads.
According to the protocol, a single AI subscription would have little effect on overall supply, but repeated usage across developers and applications could result in more tokens being committed to active computing instead of remaining freely tradable.
The company said every AI inference request or autonomous agent paid through staking contributes to the same cycle by locking tokens against real network activity rather than speculative trading. NEAR added that the value created through that activity can return to participants securing the network instead of accumulating with centralized service providers.
The announcement stopped short of estimating how much supply could eventually become locked through AI payments and did not provide adoption forecasts.
The latest AI payment feature introduces another role for staking within the NEAR ecosystem by linking token deposits directly to AI computing instead of relying only on validator participation or investment products.
Closing its announcement, NEAR Protocol described the system as an example of “AI sovereignty,” where users can stake tokens, allow private AI agents to run without exposing credentials, and later recover the same tokens after unstaking.
Previous staking initiatives laid groundwork for the launch
The new payment model builds on earlier efforts by NEAR to expand staking beyond conventional validator rewards.
In February 2025, Nomura-backed Laser Digital introduced the Laser Digital NEAR Adoption Fund for institutional investors seeking long-term exposure to the blockchain’s native token. The fund uses TruStake, an institutional staking solution developed by TruFin, allowing participants to earn staking rewards while supporting network consensus.
At the time, Laser Digital Chief Executive Officer Jez Mohideen said the fund combined exposure to artificial intelligence and digital assets with staking income. The product was made available to eligible institutional and professional investors in selected jurisdictions outside the United States.
NEAR also changed its monetary policy later that year. On Oct. 30, 2025, the protocol activated a network upgrade reducing annual token inflation from about 5% to roughly 2.4%, cutting yearly token issuance by nearly 60 million NEAR. The update also lowered expected staking yields from around 9% to approximately 4.5%, assuming roughly half of the circulating supply remained staked.
Crypto World
Crypto treasuries pivot to AI data center funding
Quantum Solutions and Hyperscale Data each redirected part of their crypto treasuries toward AI data centers on July 30.
Summary
- 1,000 ETH sale raised $1.9 million for Quantum Solutions’ Japanese AI data center expansion plans.
- 100 BTC were monetized as Hyperscale Data established a Bitcoin-backed credit facility for Michigan construction.
- 4,375 ETH sale ceiling leaves Quantum authorized to dispose of another 2,471 tokens by October.
Tokyo-listed Quantum sold 1,000 ETH for $1.903 million, while U.S.-listed Hyperscale monetized about 100 BTC and established a Bitcoin-backed credit facility.
The transactions show two approaches to using digital assets as operating capital. Quantum converted Ethereum directly into cash. Hyperscale combined a Bitcoin sale with collateralized borrowing to finance its Michigan AI data center.
Quantum Solutions converts ETH into AIDC funding
Quantum’s subsidiary GPT Pals Studio sold 1,000 ETH at $1,903 per token, generating $1.903 million after transaction fees. The company expects to record a $100,970 loss, equal to about ¥17 million, because the sale price was below its May 31 carrying value of $2,003.97 per ETH. The accounting loss is not measured against the original purchase price.
The July transaction followed a June 16 sale of 904 ETH for about $1.61 million. Together, the two disposals raised roughly $3.51 million and reduced Quantum’s balance from 6,668.8 ETH to 4,764.8 ETH, a decline of about 28.6%.
Quantum increased its cumulative sale limit from 1,875 ETH to 4,375 ETH through October 30. The company may therefore sell another 2,471 ETH. However, its filing states that the higher ceiling “does not constitute a decision to immediately sell” the full amount. Future transactions will depend on ETH prices, funding requirements and progress in the AI Infrastructure Data Center business.
Most of Quantum’s remaining ETH is pledged
Of Quantum’s remaining 4,764.8 ETH, 3,050 ETH is pledged as collateral to a Singapore-based financial services company. Another 1,714.8 ETH remains in GPT Pals’ crypto trading account. The company has not identified the lender publicly.
The unused sale authorization exceeds Quantum’s freely held trading-account balance by 756.2 ETH. Selling the full authorized amount would therefore appear to require the release or replacement of some collateral, additional ETH purchases or another arrangement. Quantum has not announced plans to take any of those steps.
The sale also changed Quantum’s position among Japanese corporate Ethereum holders. Def Consulting reported 4,976 ETH on June 30, which is 211.2 ETH more than Quantum’s post-sale balance. Based on the companies’ latest disclosed figures, Quantum no longer appears to be Japan’s largest listed ETH holder, although the balances were reported on different dates.
Ascrypto.news previously reported, Quantum had become the largest Ethereum treasury company outside the U.S. after rapidly accumulating ETH in October 2025. Its latest disposals mark a shift from treasury expansion toward business funding.
In addition, Quantum said the proceeds would support data center contracts, GPU equipment and preparations for its AIDC business. In June, it signed a memorandum of understanding with Hong Kong-based Integrated Capital to examine financing and resource cooperation for a Japanese AI data center.
The proposed infrastructure would focus on systems using NVIDIA B300 and GB300 GPUs. However, the memorandum is nonbinding. Quantum said “specific investment amounts, financing conditions and implementation timing remain undecided.” The ETH sales therefore provide capital flexibility but do not confirm that a completed data center investment has been agreed.
Hyperscale Data monetizes 100 BTC for Michigan
Hyperscale Data separately said it monetized approximately 100 BTC and invested the proceeds into its Michigan AI data center campus. The company also created a Bitcoin-backed facility with an expected variable interest rate of 4.5% to 5%.
The release did not identify the lender, borrowing limit, maturity, collateral ratio or amount of Bitcoin pledged. Hyperscale had reported 1,106.0467 BTC on July 27, valued at about $71.7 million. Subtracting the stated sale would leave roughly 1,006 BTC, but that figure is an estimate because the company has not disclosed a precise post-transaction balance.
Hyperscale is building capacity for a neocloud provider under a definitive master services agreement. The initial deployment covers about 20 megawatts and has a ten-year term with two optional five-year extensions. The company estimates that the maximum term could produce more than $1.2 billion in revenue.
The customer also has an option for another 32 MW. Hyperscale said the expanded arrangement “would be expected” to raise total contract revenue above $3 billion if the capacity and extension options are exercised. Those amounts are conditional forecasts, not revenue already earned.
Crypto treasuries become operating finance tools
The announcements show digital-asset treasuries moving beyond passive holding. Quantum is selling ETH to fund a project that remains at an early stage. Hyperscale is selling and borrowing against Bitcoin to support a data center tied to a signed customer agreement.
The model is spreading across crypto-linked infrastructure companies. In related coverage, Core Scientific sold 2,385 BTC during the first quarter to fund AI capital expenditure. Crypto.news also found that listed miners had secured more than $70 billion in announced AI and high-performance computing contracts while selling Bitcoin to cover development costs.
Quantum’s next deadline is October 30, when its expanded ETH sale authorization expires. The company has promised disclosures if it makes additional sales and expects to recognize the ¥17 million loss in its fiscal second quarter.
Hyperscale said it will issue further construction, financing and operational updates. Investors will be watching for the credit facility’s full terms, an updated Bitcoin balance and evidence that planned Michigan capacity is delivered according to schedule.
Crypto World
Bitcoin self-custody debate erupts over poor wallet UX
Bitcoin Archive renewed a long-running dispute over Bitcoin self-custody on July 31, arguing that poor wallet usability is sometimes defended as cultural gatekeeping rather than treated as a barrier to adoption.
Summary
- Bitcoin Archive criticized self-custody culture, arguing wallet experiences can exclude less technical users from adoption.
- Only 43% of surveyed participants correctly recognized a seed phrase in Carnegie Mellon research findings.
- Bitkey, Ledger and Proton offer different recovery designs aimed at reducing permanent self-custody losses.
The account said a “large contingent” of Bitcoin maximalists “do NOT care about mainstream adoption” and described difficult self-custody experiences as “elitism dressed up as virtue.” Its July 31 post named no individuals, products or organizations and provided no data supporting its claims. It should therefore be read as commentary, not a verified finding about the wider Bitcoin community.
Bitcoin self-custody UX remains the core dispute
Self-custody lets a Bitcoin holder control the private keys needed to move funds. That removes dependence on an exchange or custodian, but it also shifts recovery, backup and transaction-verification duties to the user. A lost backup or exposed recovery phrase can result in permanent loss.
Bitcoin Core’s wallet documentation warns that forgotten passphrases cannot be recovered and that backup files must remain reliable and free from malware. Those instructions show that the usability and responsibility trade-off predates the latest culture debate.
Bitcoin Archive’s criticism focuses on how that responsibility is communicated. Its claim that technical difficulty is intentionally preserved as gatekeeping is disputed and cannot be established from the post alone.
Research supports usability concerns, not motive claims
Academic evidence supports the narrower point that wallet concepts remain difficult for many users. Carnegie Mellon researchers said only 43% of participants correctly identified an image of a seed phrase, while some believed a lost phrase could be reset. The findings pointed to weak mental models that can increase exposure to scams and accidental loss.
A separate CHI study of 24 crypto users found that wallet choices varied by use case, experience and perceived risk. Participants often preferred hardware or smart-contract wallets for larger sums, showing that users balance convenience, phishing exposure, physical risk and dependence on third parties.
A 2026 Scientific Reports paper also described self-custody users as a potential single point of failure and called inadequate recovery a continuing wallet problem.
Separately, the Bitcoin Design guide recommends clear explanations, backup confirmation and recovery testing rather than assuming users already understand key management.
Wallet makers are testing different recovery models
Several products now try to reduce seed-phrase dependence without returning full control to a custodian. Bitkey’s updated recovery documentation describes a two-of-three key design using an app key, hardware key and server key. Any two keys can authorize actions, while the company says its server key cannot move funds alone. Recovery Contacts can also help restore access without receiving the wallet’s keys.
Ledger offers several options, including a PIN-protected physical Recovery Key and the optional Ledger Recover subscription. Ledger says Recover encrypts and splits backup material among three providers, with identity checks used during restoration.
Proton Wallet takes another approach by simplifying transfers through email addresses while retaining a standard wallet seed phrase. These are company-described models, and each introduces different privacy, availability and trust considerations.
Security failures keep the trade-off unresolved
Easier recovery does not remove the need for secure wallet generation and user education. In related coverage, crypto.news reported that the Ill Bloom weakness exposed wallets created with poor randomness across several blockchains.
Crypto.news also reported on physical phishing letters designed to trick Ledger and Trezor users into revealing recovery phrases. These cases show that improving the interface cannot fully remove weak randomness, social engineering or backup exposure.
Self-custody removes the risk that an exchange freezes withdrawals, fails or mismanages customer assets. It does not remove phishing, device compromise, backup loss or inheritance problems. As crypto.news explained in its self-custody guide, control and responsibility arrive together.
What happens next will depend on measurable product work rather than social-media arguments. Wallet developers can publish audits, test recovery flows with nontechnical users, support interoperable backups and report failure rates. Bitcoin Archive’s broader allegation about maximalist culture remains opinion, but the underlying usability challenge is documented and actively being addressed.
Crypto World
Fintech giant KSNet joins Solana Foundation to trial Solana Pay in South Korea
KSNet has partnered with the Solana Foundation to test blockchain payments and AI-driven transaction systems for South Korea’s financial market.
Summary
- KSNet and the Solana Foundation signed an agreement to test blockchain based payment infrastructure in South Korea.
- The companies will begin proof of concept projects covering Solana Pay integration and AI payments using the x402 protocol.
- KSNet plans to connect Solana Pay with its merchant network while incorporating AML controls and won settlement support.
- The partnership adds to Solana’s recent enterprise payment initiatives across stablecoins, AI services, and regulated financial infrastructure.
KSNet announced on July 30 that it has signed a memorandum of understanding (MOU) with the Solana Foundation to jointly develop a next-generation digital asset payment infrastructure, with the partnership beginning through proof-of-concept projects focused on Solana Pay and AI-powered payment technology.
The agreement brings together KSNet’s domestic payment network and Solana’s blockchain infrastructure as both companies evaluate digital asset payments that can work alongside South Korea’s existing financial system. The first phase centers on technical verification rather than a commercial rollout.
Solana Pay will be tested on KSNet’s merchant network
As part of the first proof-of-concept, KSNet said it will test the integration of Solana Pay with the online and offline merchant payment network the company has built over the past 26 years. The demonstration will examine whether Solana Pay’s payment standard can operate within South Korea’s existing payment environment while remaining compatible with local merchant infrastructure.
The companies also said compliance requirements will form part of the testing process. KSNet plans to incorporate anti-money laundering (AML) controls into the payment system to prevent abnormal fund flows before any commercial deployment is considered.
In addition, the proof-of-concept will connect blockchain-based settlements with KSNet’s existing won settlement network. According to the company, the structure is intended to comply with domestic financial guidelines while reducing exchange-rate fluctuations and liquidity risks that can arise during digital asset settlements.
Rather than replacing traditional payment rails, the companies are testing how blockchain payments can operate alongside existing financial infrastructure under domestic regulatory requirements.
AI payment model will use the x402 protocol
A second proof-of-concept under the agreement focuses on artificial intelligence payments using the x402 protocol.
KSNet said it will evaluate the protocol by integrating it into an AI-based payment system that is already undergoing internal testing. The review will determine whether the technology is suitable for future payment services that rely on autonomous software agents.
The x402 protocol uses the HTTP 402 “Payment Required” status code, allowing AI agents to make small payments automatically when accessing APIs or paid online services without relying on conventional logins or credit card authentication.
According to the companies, machine-to-machine payment models require transactions to settle quickly while keeping processing costs low. Existing card payment systems have long faced cost challenges when handling very small payments because multiple intermediaries contribute to the overall fee structure.
The proof-of-concept will therefore examine whether blockchain infrastructure can support those payment models more efficiently while remaining compatible with existing financial systems.
Park Han-han, chief executive officer of KSNet, said the company plans to build on its payment and settlement experience to provide what it described as a secure payment infrastructure for users.
Following the technical validation, KSNet and the Solana Foundation said they intend to gradually explore commercialization models suitable for South Korea’s financial market.
Solana has continued expanding payment partnerships
The KSNet partnership adds another enterprise payments initiative to the Solana Foundation’s recent activities across financial services.
Earlier this month, the Solana Foundation partnered with SBI Holdings to establish SBI Solana Global, a venture focused on regulated on-chain financial infrastructure in Japan. According to the companies, the initiative includes work on yen-backed stablecoins, tokenized financial products, institutional settlement services, cross-border payments, and AI-related payment applications.
South Korea has also become part of Solana’s payment strategy. In April, Shinhan Card announced a proof-of-concept with the Solana Foundation to test stablecoin payments on Solana’s testnet. According to Shinhan Card, the pilot evaluates transaction performance, non-custodial wallet security, and blockchain payment infrastructure while examining hybrid financial services that combine conventional payment systems with decentralized finance.
Artificial intelligence has become another area of development for the blockchain network. Earlier this month, the Solana Foundation and Google Cloud introduced Pay.sh, a payment gateway that allows AI agents to purchase API access using stablecoins on Solana. According to the companies, the platform enables per-request payments for Google Cloud services, including Gemini, BigQuery, and Vertex AI, without requiring traditional API subscriptions.
Enterprise adoption has also extended into corporate finance. On July 22, Ramp launched Solana-powered stablecoin accounts that allow businesses to hold USDC and USDT, manage treasury balances, and make cross-border payments through a single financial workflow. Ramp said more than 70% of stablecoin payment volume on its platform occurs outside traditional banking hours, indicating continued demand for around-the-clock settlement.
Consumer payment products have also incorporated Solana’s infrastructure. Last year, Gemini introduced a Solana Edition credit card that automatically stakes SOL rewards earned from purchases, allowing users to participate in network validation while earning staking rewards through Gemini’s platform.
The launch followed the exchange’s addition of USDC and USDT transfers on Solana, which Gemini said benefited from the network’s low fees and fast settlement times.
Crypto World
Ethereum price tumbles below $1,900, will $1,850 hold?
Ethereum price fell nearly 2% to about $1,883 on July 31 after another rejection below $2,000 weakened momentum and pushed the token toward a key technical support zone.
Summary
- Ethereum price traded near $1,883, down 1.8% on the daily chart.
- The 4-hour RSI dropped to 43.02, showing weakening short-term momentum.
- Support sits near $1,873–$1,875, with deeper liquidity around $1,850.
- Liquidation clusters near $1,935–$1,940 could attract price during a recovery.
Ethereum price action today
According to data from crypto.news, Ethereum (ETH) price extended its retreat on Thursday after buyers failed to sustain a move toward the $2,000 psychological level.
The token traded at approximately $1,883 at the time of the charts, down 1.82% on the day. ETH reached an intraday high of $1,936 before falling to a low near $1,878, showing that sellers remained active above $1,900.
Price action on the 4-hour chart shows Ethereum breaking below the middle Bollinger Band at $1,906. The move placed ETH close to the lower band at $1,875, where buyers may attempt to stabilize the decline.

Short-term momentum has also deteriorated. The 4-hour Relative Strength Index fell to 43.02, below its moving average of 50.13. An RSI below 50 generally indicates that sellers have gained control, although the reading remains above the oversold threshold of 30.
Ethereum’s retreat follows several failed attempts to establish support above $1,930. Each rebound produced renewed selling, leaving the token inside a broader consolidation range instead of confirming a breakout.
What is driving the ETH decline?
Profit-taking near $1,950 and the continued defense of $2,000 appear to be the immediate technical drivers behind the decline.
The $2,000 level also sits close to the 50% Fibonacci retracement at $1,986.33 on the daily chart. That overlap has created a wider resistance zone where short-term traders may be closing positions rather than adding exposure.
Derivatives positioning likely amplified the pullback. The 3-day CoinGlass liquidation heatmap shows that ETH dropped sharply after trading around $1,920, passing through liquidity near $1,900 before reaching the upper $1,880s.

Leveraged traders who positioned for an immediate breakout above $2,000 faced pressure as the price moved in the opposite direction. Forced long closures can accelerate a decline because exchanges sell the underlying position when margin requirements are no longer met.
Broader conditions remain challenging for risk assets. The Federal Reserve’s decision to maintain elevated interest rates has kept financing conditions restrictive for US investors, while geopolitical uncertainty in the Middle East has supported a more defensive market posture.
Ethereum has also lacked the sustained spot demand needed to separate from those macro pressures. Weak on-chain activity and redemptions from spot Ethereum exchange-traded products have reduced two potential sources of buying support.
Ethereum support at $1,873 faces a test
Ethereum is now testing an important technical area between $1,873 and $1,875.
The daily chart places the 0.618 Fibonacci retracement at $1,873.50, while the 4-hour lower Bollinger Band stands at $1,875.19. The convergence makes this range the first level bulls need to defend.

A daily close below $1,873 would weaken the recovery structure that developed from the late-June low. The liquidation heatmap points to additional liquidity between approximately $1,850 and $1,870, making that area the next potential downside target.
Below $1,850, attention would shift toward $1,800. Losing that psychological support could expose the 0.786 Fibonacci retracement at $1,712.86, although ETH would need a much deeper correction to test that level.
Some longer-term indicators remain constructive. Chaikin Money Flow stood at 0.08 on the daily chart, suggesting capital flows were still marginally positive despite the price decline. The Aroon readings also showed Aroon Up at 71.43 and Aroon Down at zero, indicating that the broader July recovery had not been fully invalidated.
Those signals contrast with the weaker 4-hour RSI, showing a market in which the medium-term recovery remains intact but near-term momentum favors sellers.
Liquidation heatmap points to $1,940 resistance
The largest nearby concentration of liquidation leverage sits around $1,935–$1,940, according to the 3-day heatmap.
That cluster could act as a price magnet if Ethereum rebounds from current support. A recovery above $1,906, the middle Bollinger Band, would be the first indication that short-term momentum is improving.
ETH would then face resistance at $1,938, which marks the upper Bollinger Band and overlaps with the main liquidation pocket. Clearing that area could open another test of $1,986 and $2,000.
Additional liquidity appears near $1,950–$1,965 and immediately below $2,000. These clusters could fuel a short squeeze if buyers reclaim $1,940, but they may also attract fresh selling as traders defend the wider resistance zone.
Failure to recover $1,900 would keep the downside scenario active. In that case, leveraged positions accumulated around $1,875 and $1,850 could become vulnerable.
What analysts are saying about Ethereum
Crypto analyst Michaël van de Poppe described the current decline as a lower-timeframe correction while maintaining a positive longer-term view.
“ETH is holding above $1,800 and as long as that’s the case, there’s not much to worry,” van de Poppe said. He added that he still expects Ethereum to reach $2,500 in the coming months.
Analyst Ted Pillows identified a narrower support range. He said momentum was weakening after ETH fell below $1,900 but noted that the token remained above its $1,850 support zone.
“As long as it holds, I think ETH is more likely to rally towards $2,000.”
The charts therefore place Ethereum at a decision point. Holding $1,873–$1,850 would preserve the possibility of another move toward $1,940 and $2,000. A sustained breakdown below that range would instead reinforce the rejection and raise the risk of a deeper pullback toward $1,800.
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
Crypto World
New York sues Kalshi over prediction market gambling
The state is seeking at least $36 billion in damages from the prediction market platform it calls an unlicensed gambling operation, and has filed for a temporary restraining order to halt its contracts immediately.
Summary
- New York Attorney General Letitia James and Governor Kathy Hochul sued KalshiEX on July 31, 2026, in New York Supreme Court, Manhattan, seeking at least $36 billion in compensatory damages, triple-gains penalties, and $100,000 per unauthorized sports wagering offer.
- The state simultaneously filed a motion for a temporary restraining order to halt Kalshi’s event contracts in New York immediately, citing ongoing harm to consumers including users under the legal gambling age of 21.
- Kalshi users bet over $1 billion monthly on the platform in 2025, with 90% of that volume on sports, according to figures cited in the AG’s own release, a concentration that makes the bipartisan Senate proposal to ban sports event contracts existential for the business.
- Kalshi, valued at roughly $22 billion with annualized volume of approximately $178 billion, calls the suit “political theater” and argues its CFTC registration as a designated contract market means exclusive federal oversight.
- A bipartisan coalition of 38 state attorneys general has already filed an amicus brief supporting Massachusetts in a parallel case, signaling that the enforcement wave extends far beyond the 13 states with active litigation.
The lawsuit that prediction markets knew was coming
Two days after the Second Circuit denied Kalshi emergency relief on July 29, New York filed the most aggressive state action yet against the prediction market industry. The suit arrived with a coordinated announcement from AG James and Governor Hochul, counts spanning multiple bodies of state law, a $36 billion damages demand, and a motion for an immediate restraining order.
The $36 billion figure, reported by The Block based on the court filings, is roughly 1.6 times Kalshi’s reported valuation. It is the number every major outlet is leading with, and it signals that New York is treating this as a revenue-extraction case, not merely a cease-and-desist.
This piece examines the filing, the legal arguments on both sides, the federal regulator caught between them, and what the case means for an industry now fighting a war on two fronts: in courtrooms and in Congress.
What the complaint actually alleges
The core claim is straightforward: Kalshi is running an unlicensed gambling business in New York.
The AG’s office says the platform lets users place wagers on uncertain future events, from Super Bowl outcomes to reality TV winners to election results, without a Gaming Commission license and without paying state gaming taxes. New York treats these as bets, not derivatives, regardless of Kalshi’s CFTC registration.
The complaint goes further. It alleges Kalshi allows users aged 18 to 20 to place bets, violating New York’s 21-and-older minimum for mobile sports betting. It alleges the platform offered wagers on games involving New York college teams, a separate violation under state law.
The AG’s investigators placed test wagers from New York accounts as evidence: four “Yes” contracts on a UConn-Michigan basketball game at $1.14 in April 2026, and ten contracts on the winner of “Big Brother” in July 2026. Both transactions completed without obstruction.
The filing also introduces a count under the federal Interstate Wire Act, alleging Kalshi used wire communications to transmit bets across state lines. This is significant because it widens the legal exposure beyond state gambling statutes into federal criminal law, giving the state an argument that operates independently of the preemption question. Even if Kalshi’s CFTC registration were found to preempt state gambling law, the Wire Act is a federal statute, and the state is arguing that Kalshi violates it.
The complaint details the investigative methods in unusual specificity. Rather than relying on industry reports or third-party data, the OAG built its case from the inside. Investigators created accounts, placed real wagers, and documented each step. This matters for the TRO motion: the state can present firsthand evidence that illegal gambling is actively occurring in New York, not merely that it could occur.
“Prediction markets like Kalshi are gambling platforms, plain and simple,” James said in a statement accompanying the filing.
Governor Hochul framed the action around consumer protection, saying Kalshi “has chosen to ignore New York’s gaming laws, which exist to protect consumers, prevent problematic gambling, deliver funding for critical public services, and ensure that every company plays by the same rules.” The coordinated announcement from both the AG and the Governor signals that this is not a routine regulatory action. It is a political priority.
The $36 billion in damages and the TRO
New York is not seeking a slap on the wrist. The headline number is at least $36 billion in compensatory damages, pending a full accounting of Kalshi’s operations. The remedies demand:
- A permanent injunction barring Kalshi from operating unlicensed gambling in the state
- A temporary restraining order halting Kalshi’s event contracts in New York immediately
- A full accounting of every customer bet and loss processed through the platform
- Forfeiture and disgorgement of all gains the state deems illegal
- Restitution to affected consumers
- Penalties of three times Kalshi’s gains under Penal Law Section 80.10
- A fine of $100,000 per unauthorized sports wagering offer under the Racing Law
The TRO is the near-term threat. If granted, Kalshi would need to suspend operations in New York while the case proceeds, potentially for years. The triple-damages provision is the long-term one. At $36 billion, New York is claiming a figure that exceeds the platform’s reported valuation of $22 billion by more than 60%.
The per-offer fine structure adds another layer. The AG’s release notes that Kalshi users bet over $1 billion monthly in 2025, with 90% of that volume on sports. Each unauthorized sports offering carries a $100,000 fine under the Racing Law. At that volume, the per-offer penalties alone could produce a figure in the hundreds of millions.
The damages calculation itself reveals the state’s theory of the case. New York is not treating Kalshi as a minor regulatory violator that failed to file paperwork. It is treating Kalshi as a gambling operation that processed billions in unlicensed wagers over multiple years, and it wants the full economic benefit of that activity returned. The $36 billion figure presumably reflects the total volume of wagers placed by New York users, or a substantial fraction of it, multiplied by the treble-damages provision. The final number will depend on the full accounting the state is requesting, but the opening demand is meant to establish the scale of the alleged violation.
The TRO motion deserves separate attention because it operates on a different timeline from the main case. A TRO hearing can happen within days or weeks, while the underlying lawsuit could take years. If New York secures the restraining order, Kalshi faces an immediate operational decision: comply and lose the New York market, or challenge the order and risk contempt proceedings. Either outcome sets a precedent that other states can follow. Michigan and Nevada secured their own TROs through similar procedural mechanisms, and each one reduced Kalshi’s geographic footprint.
The $1 billion monthly number and why it matters
The AG’s release includes a figure that has received less attention than the $36 billion headline: Kalshi users bet over $1 billion every month on the platform in 2025, and 90% of that money went to sports betting.
This is the number that makes the bipartisan Senate proposal to ban CFTC-licensed platforms from offering sports event contracts existential. Sports are not a side product for Kalshi. They are the product. If sports contracts are removed, whether by state enforcement or federal legislation, the platform loses nine-tenths of its recorded consumer activity.
The figure also undercuts Kalshi’s framing of its offerings as sophisticated financial derivatives. A billion dollars a month on the Super Bowl, the NBA, and college basketball looks like a sportsbook by any name. New York is making exactly that argument, and the AG’s investigators have the receipts.
The concentration matters for investors and market participants as well. Kalshi’s $22 billion valuation implies a diversified event-contract platform serving a range of use cases: elections, weather, economics, entertainment. The AG’s data shows something closer to a sports gambling platform with a derivatives label. If the valuation was underwritten on the assumption of product diversity, the 90% sports concentration represents a disclosure risk independent of the legal outcome.
Kalshi’s federal preemption defense
Kalshi’s position rests on a single legal premise: that its 2020 registration with the CFTC as a designated contract market means its event contracts are regulated derivatives under the Commodity Exchange Act, subject to exclusive federal oversight.
The company calls the suit “political theater” and argues states cannot simply shut down a federally licensed exchange. The framing is deliberate. Kalshi wants this treated as a jurisdictional question, not a gambling question.
It is the strongest version of their argument, and it carries legal weight. The CFTC itself has backed the position, filing lawsuits against multiple states and claiming exclusive regulatory authority over prediction markets. On the same day New York filed its suit, the CFTC filed an emergency counter-motion in Manhattan federal court less than one hour before the state complaint dropped, attempting to reassert federal jurisdiction preemptively.
The federal regulator has now challenged state enforcement in at least nine states, including filing suit against Arizona, Connecticut, and Illinois in April 2026. The CFTC is not a passive bystander in this dispute. It is an active combatant on Kalshi’s side.
Why the federal shield is cracking
On July 7, U.S. District Judge Analisa Torres denied Kalshi’s preliminary injunction against New York’s Gaming Commission enforcement. Her reasoning cut directly at the preemption argument.
Torres cited Section 2 of the Commodity Exchange Act, which states the law “shall not supersede or limit the jurisdiction conferred on other regulatory authorities under the laws of the United States or of any state.” She wrote that “Congress did not intend to regulate so broadly as to exclude all state gambling laws from regulating transactions involving swaps.”
Her conclusion was blunt: “There is nothing preventing Kalshi from obtaining a license pursuant to New York law.”
The Second Circuit denied Kalshi emergency relief on July 29. With the appellate safety net gone, the state had a clear path to file.
The Torres ruling matters beyond New York because it provides a template. Other states facing Kalshi’s preemption argument can cite it directly. The decision rejects the premise that CFTC registration creates a blanket exemption from state gambling law, and it does so by citing the Commodity Exchange Act’s own text. Before Torres, Kalshi could argue that no court had squarely addressed the question. That argument is gone.
The legal logic is worth following in detail. Kalshi’s preemption claim rests on the idea that CFTC registration means its products are regulated derivatives, full stop. Torres responded that the Commodity Exchange Act explicitly preserves state jurisdiction, that the products in question resemble gambling under New York law, and that nothing in federal statute prevents Kalshi from obtaining a state gaming license if it wants to operate in New York. The decision does not say Kalshi cannot exist. It says Kalshi cannot avoid state gambling law by pointing to a federal license that, by its own statute’s terms, was never meant to override it.
The Second Circuit’s refusal to grant emergency relief on July 29 reinforced this reasoning. It did not issue a full opinion, but the denial means Kalshi failed to show a likelihood of success on the merits, which is the standard for emergency relief. Two levels of federal courts have now declined to protect the company from state enforcement.
The result is a genuine constitutional question about the boundary between federal commodity regulation and state gambling law. Kalshi needs either a circuit court reversal or Congressional action to restore the shield it thought it had.
The 38-state coalition
The count that matters is not 13 states with active litigation. It is 38.
In April 2026, James joined a bipartisan coalition of 38 state attorneys general filing an amicus brief supporting Massachusetts in its parallel case against Kalshi. The coalition spans from Alabama to Wisconsin, including red states, blue states, and the District of Columbia. The full list: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Hawaii, Idaho, Illinois, Iowa, Kansas, Louisiana, Maine, Maryland, Michigan, Minnesota, Mississippi, Nebraska, Nevada, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Utah, Vermont, Virginia, Wisconsin, and DC.
On the same day the AGs filed, the CFTC filed its own amicus brief at the Massachusetts Supreme Judicial Court asserting exclusive federal jurisdiction, creating a direct confrontation between the federal regulator and a supermajority of state enforcement agencies.
New York is not operating in isolation. The suit fits into a pattern of escalating state enforcement that has accelerated through 2026:
Massachusetts has a court order restricting Kalshi. Polymarket has countersued the state, opening a second front.
Michigan secured a temporary restraining order against the platform under AG Dana Nessel, making it the third state to obtain a court order.
Nevada issued a TRO covering sports, election, and entertainment contracts. Kalshi responded by removing those categories for Nevada users, effectively conceding the state’s authority in practice while contesting it in court.
Washington holds its own court order restricting the platform. The state’s Gambling Commission issued a cease-and-desist, and Kalshi did not challenge it in court.
Wisconsin handed down an adverse ruling the week of July 28, adding another state to the enforcement column in a decision that received less coverage than the New York and Massachusetts actions but follows the same legal reasoning.
New York itself previously sued Coinbase and Gemini in April 2026 on similar prediction-market allegations. That suit broadened the target set beyond pure-play prediction platforms, signaling that New York views any company offering prediction-style products to state residents as subject to gaming law, regardless of whether the company’s primary business is elsewhere.
In Congress, a bipartisan Senate proposal has emerged that would ban CFTC-licensed prediction market platforms from offering sports event contracts, which would remove the category that accounts for 90% of Kalshi’s recorded volume.
The arithmetic that matters
Kalshi’s reported valuation of $22 billion rests on the assumption that its CFTC registration provides a durable regulatory moat. The annualized transaction volume of $178 billion flows through that assumption. If the federal preemption argument fails at the circuit level, the business model does not downgrade gracefully.
The platform cannot operate as a state-licensed gambling business without fundamental changes to its product, its economics, and its user base. State gaming licenses come with specific requirements: age floors (21 in New York for mobile betting), tax obligations, product restrictions, and compliance infrastructure that a CFTC-registered exchange was never built to support.
Nevada’s example is instructive. When the state issued its TRO, Kalshi did not fight to keep sports, election, and entertainment contracts available to Nevada users. It removed them. If that pattern repeats across additional states, the platform’s addressable market contracts with each new enforcement action.
The numbers tell the story in three layers. First, $36 billion in damages sought in New York alone, exceeding the company’s valuation by 60%. Second, 38 state attorneys general aligned against the federal preemption argument, representing a supermajority of American enforcement capacity. Third, 90% of Kalshi’s monthly volume concentrated in sports, the single category most vulnerable to both state enforcement and the pending Senate ban.
The counter-argument deserves its strongest form. Kalshi’s $178 billion in annualized volume proves genuine consumer demand for event contracts. The CFTC registration is not a legal fiction, and federal regulators are actively fighting to preserve federal jurisdiction. The Commodity Exchange Act does grant the CFTC authority over designated contract markets, and a reasonable reading of federal preemption could conclude that state gambling law should not apply to products traded on a federally licensed exchange. If the CFTC prevails at the appellate level, or if Congress acts to clarify federal preemption, the state cases collapse. Kalshi’s appeal of the Torres ruling remains live, and the Second Circuit has not yet ruled on the merits.
There is also a policy argument that Kalshi rarely makes explicitly but that supports its position. Prediction markets have informational value. Research from academic institutions and the CFTC’s own prior statements have recognized that event contracts can produce useful price signals about future events. A state-by-state licensing regime could effectively kill a market structure that regulators, academics, and the public have found valuable for forecasting elections, economic indicators, and policy outcomes.
But the burden has shifted. Two federal courts have declined to protect Kalshi from state enforcement. Thirty-eight attorneys general have aligned against the federal preemption argument. And 90% of Kalshi’s volume is concentrated in sports, the single category most politically vulnerable. The question is no longer whether states can regulate prediction markets. The question is whether Kalshi can find a court that says they cannot.
What to watch
- The TRO hearing in New York Supreme Court. If granted, Kalshi must suspend operations in the state while the case proceeds. The timeline and conditions of this hearing will set the pace for the entire case.
- The Second Circuit appeal of Judge Torres’s July 7 ruling. If the court reverses on federal preemption, the state enforcement wave stalls. If it affirms, expect additional state filings within weeks.
- The CFTC’s emergency motion filed hours before New York’s suit. The federal court’s handling of this motion will signal whether the judiciary treats CFTC registration as a meaningful shield or a regulatory label.
- Congressional action on the bipartisan Senate proposal to ban sports event contracts. At 90% of Kalshi’s volume, this would be a structural blow regardless of court outcomes.
- Kalshi’s operational response in states with active enforcement. Nevada’s pattern, removal of categories rather than legal confrontation, is the leading indicator of how the business adapts under pressure.
Frequently asked questions
What did New York sue Kalshi for?
New York filed a lawsuit alleging Kalshi operates an unlicensed gambling business by offering wagers on sports, entertainment, and election outcomes without a Gaming Commission license and without paying state gaming taxes. The suit includes counts under the state constitution, Penal Law gambling provisions, the Racing Law, and the federal Interstate Wire Act.
How much is New York seeking in damages?
The state is seeking at least $36 billion in compensatory damages, pending a full accounting of Kalshi’s operations. Additional penalties include three times the company’s gains under Penal Law and $100,000 per unauthorized sports wagering offer under the Racing Law.
What is the temporary restraining order?
Alongside the lawsuit, New York filed a motion for a TRO to halt Kalshi’s event contracts in the state immediately while the case proceeds. If granted, Kalshi would need to suspend operations in New York, potentially for years.
What is Kalshi’s defense?
Kalshi argues that its registration with the CFTC as a designated contract market since 2020 means its event contracts fall under exclusive federal oversight and that states cannot regulate them as gambling. The company calls the suit “political theater.”
How did the court rule on federal preemption?
U.S. District Judge Analisa Torres denied Kalshi’s preliminary injunction on July 7, ruling that the Commodity Exchange Act does not prevent states from applying their gambling laws to event contracts. The Second Circuit denied emergency relief on July 29.
How many states are aligned against Kalshi?
A bipartisan coalition of 38 state attorneys general filed an amicus brief supporting Massachusetts in a parallel case. At least five states, Massachusetts, Michigan, Nevada, Washington, and Wisconsin, have active court orders or adverse rulings restricting Kalshi’s operations.
What role is the CFTC playing?
The CFTC has positioned itself as the exclusive federal regulator of prediction markets, filing lawsuits against multiple states and an emergency motion less than one hour before New York’s suit. The agency has challenged state enforcement in at least nine states and filed an amicus brief directly opposing the 38-state attorney general coalition.
Could this lawsuit shut down prediction markets entirely?
The New York case alone would not end the industry, but it tests whether CFTC registration shields platforms from state gambling laws. With 38 attorneys general aligned against the federal preemption argument and 90% of Kalshi’s volume concentrated in sports betting, the combination of state enforcement and the pending Senate ban on sports event contracts could force a fundamental restructuring of the business model. This is educational analysis, not investment advice.
Disclaimer: This article is for informational purposes only and does not constitute legal, financial, or investment advice. The information presented reflects the state of events as of July 31, 2026, and may change as legal proceedings develop. Readers should consult qualified professionals before making decisions based on this material.
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