CryptoFrontNews

SHIBが記録したとされる33,774,726%の上昇率は、図表内の比較対象の中で最も高いものの、測定期間と計算方法は明らかにされていません。
図表に示されたビットコインの569,772%のリターンは、掲載されている株式や金の上昇率を上回っていますが、公平に評価するには比較対象となる期間を揃える必要があります。
ShibariumやShibSwapなどのエコシステムプロジェクトは、SHIBがミームコインとして誕生した背景にとどまらない発展を遂げているという、図表のより広いストーリーを支えています。
SHIBの際立った特徴は、並外れた過去のリターンを示すパフォーマンス比較です。また、エコシステムの発展も、SHIBへの認知が高まっている理由の一つです。

Spot Bitcoin ETFs recorded $681 million in outflows from October 5–9, 2026, ending three consecutive weeks of net inflows.
Ethereum ETFs lost $542 million during the week, with BlackRock’s ETHA accounting for $477 million in withdrawals.
Bitcoin and Ethereum ETF flows fluctuated alongside prices through 2024–2026, but the data does not establish direct causation.
Spot Bitcoin and Ethereum ETFs recorded a combined $1.223 billion in net outflows from October 5 to October 9, 2026, according to SoSoValue. Bitcoin funds lost $681 million, ending three consecutive weeks of net inflows, while Ethereum funds shed $542 million. BlackRock’s ETHA accounted for $477 million in Ethereum ETF outflows.
https://twitter.com/WuBlockchain/status/2109491469237293226?s=20
Bitcoin ETFs End Three-Week Inflow Streak
Bitcoin’s latest weekly withdrawals reversed three weeks of consecutive net inflows. The broader chart, covering January 2024 through October 2026, shows repeated shifts between daily inflows and outflows.
Source: Coinglass
In early 2024, Bitcoin climbed from approximately 40,000–45,000 toward $70,000, alongside several inflow spikes exceeding $1 billion. However, midyear withdrawals coincided with prices retreating toward 50,000–60,000.
Buying returned late in 2024, with one inflow spike approaching $1.35 billion as Bitcoin moved toward $100,000. During 2025, daily flows remained uneven, with some withdrawals approaching $1 billion.
BlackRock’s ETHA Leads Ethereum ETF Outflows
Ethereum spot ETFs recorded $542 million in weekly net outflows, with BlackRock’s ETHA accounting for $477 million. The Ethereum chart, updated October 9, also shows a daily ETHA outflow of approximately 22,440 ETH.
Source: Coinglass
Other listed funds include ETHE, ETH, ETHB, ETHW, FETH, ETHV, EZET, TETH and QETH. However, their individual flows are not clearly visible at the chart’s displayed scale.
The cumulative-flow chart shows inflow spikes reaching approximately 200,000–230,000 ETH around mid-2025. Meanwhile, some outflow periods approached 100,000–130,000 ETH, reflecting alternating fund activity.
Bitcoin and Ethereum Prices Track Uneven Flows
Bitcoin’s chart shows prices rising toward 100,000–110,000 during parts of 2025 before falling toward $80,000 and lower. In 2026, BTC approached 60,000–70,000 before recovering toward 90,000–100,000.
Ethereum climbed toward 4,600–4,800 in August and September 2025 before declining toward 1,600–1,800 around July 2026. By the chart’s end, ETH had recovered to approximately 2,000–2,100.
Both charts show alternating inflows and outflows alongside price fluctuations. However, the figures alone do not establish that ETF withdrawals caused either cryptocurrency’s price movements.

Moscow, Russia, October 12th, 2026, Chainwire
On 13 October, the Russian international settlement system A7, created by Bank PSB, is set to present A7 International, a service enabling payments for a foreign counterparty's invoice in USDT, with the funds arriving via a standard SWIFT bank transfer in the required currency.
The service will cater primarily to foreign trade operators, but individuals are also eligible customers. The fee remains fixed at 0.3 percent.
Petr Fradkov, Chairman of PJSC Bank PSB, and Ilan Shor, CEO of A7, will provide a glimpse into its new offering on 13 October at 13:13.
To join the live broadcast and learn about the new project, follow the links:
https://a7.biz/live
About A7:
A7 is a global financial technology company specializing in international payments and settlement solutions for international trade. It was established in 2024 with the involvement of PSB Bank.
A7 is developing an independent global payment infrastructure across more than 100 countries, combining global financial expertise, advanced technology and regulatory compliance. The company’s products include international payments, digital financial assets and promissory notes.
A7 Group works with 15,000 clients, with around 2,000 transactions processed through the system every day. In 2025, approximately 19% of Russian companies’ cross-border trade settlements were processed through A7. In October 2025, A7 received an AA(RU) credit rating with a Stable outlook from ACRA.
ContactCMO
Alex Fedorov
A7
info@a7.biz

アナリストは、価格が1.25ドルを下回れば、強気反転の可能性に先立ってXRPが1.18～1.20まで下落する恐れがあると警告しています。
XRPは1.41ドル付近で取引されており、4時間足チャートでは1.42～1.45に抵抗線、1.35～1.38付近に支持線があります。
XRPのRSIは依然として50を下回っています。一方、MACDヒストグラムはプラスで、弱気モメンタムの後退を示していますが、回復を裏付けるものではありません。
アナリストのEgrag Crypto氏によると、XRPは短期的に1.18～1.20まで下落した後、1.80ドルに向けて回復する可能性があります。同氏が示した日足チャートの見通しでは、1.25ドルが下抜けの可能性がある水準で、1.30～1.45のレンジは引き続き保ち合いの重要な範囲です。一方、4時間足の市場データでは、モメンタム指標がまちまちのなか、XRPは1.41ドル付近で取引されています。

Jeonbuk Bank launched Bitcoin-backed loans on October 12, 2026, allowing corporate clients to borrow Korean won against BTC collateral.
Approved custodians will safeguard pledged Bitcoin, while the bank uses prices from multiple global exchanges to value collateral.
Defaulted Bitcoin collateral requires court approval for public auction, under South Korea’s revised Civil Execution Rules.
South Korea’s Jeonbuk Bank launched a Bitcoin-backed loan program on October 12, 2026, allowing businesses to borrow Korean won using BTC as collateral. According to Edaily, the service initially targets corporate clients, with expansion depending on demand and regulatory developments. The bank will rely on approved external custodians to hold Bitcoin pledged against the loans.
Jeonbuk Bank Restricts Bitcoin Loans to Businesses
The program marks a step toward CEO Park Choon-won’s vision of developing a “crypto bank.” Initially, only registered corporate customers can apply, and Bitcoin remains the only eligible collateral.
Borrowers can use the funds for payroll, supplier payments, and other operating expenses. However, individual customers cannot access the service, and borrowers cannot use the money for cryptocurrency speculation.
Jeonbuk Bank selected Bitcoin because it has the largest market capitalization and trading volume among cryptocurrencies. The bank also tested its performance as collateral during sharp price declines.
Jeong Sang-hoon, the bank’s vice president of the Digital Division, said the lender would strengthen its digital asset financial capabilities as laws and regulations change.
External Custodians Will Hold the Bitcoin
Jeonbuk Bank will not directly hold or manage the Bitcoin pledged by borrowers. Instead, approved custody providers will safeguard the assets under South Korean security and regulatory requirements.
These providers must obtain Information Security Management System (ISMS) certification and comply with the Virtual Asset User Protection Act. Meanwhile, the bank will calculate collateral values using weighted average prices from multiple global exchanges to reduce the influence of sharp price swings on individual platforms.
Court Approval Required to Sell Defaulted Collateral
The program also establishes procedures for recovering unpaid loans. If a business defaults, Jeonbuk Bank cannot immediately seize and sell the pledged Bitcoin.
Under South Korea’s revised Civil Execution Rules, which took effect October 1, 2026, the bank must obtain a court order before selling collateral through a public auction. Proceeds can then go toward recovering the outstanding debt.
Jeonbuk Bank, a subsidiary of JB Financial Group, plans to assess demand and regulatory developments before expanding the service. JPMorgan Chase and Swiss bank Sygnum have also introduced Bitcoin-backed lending services. Clarify the launch and first claimTighten the opening paragraph

ONDO retested its $0.46 cup-and-handle neckline, with Ali Charts projecting a potential $0.90 target if support holds.
Algorand needs a daily close above $0.14 resistance to confirm a breakout toward $0.19, while INJ must defend $7 to target $17.
Altcoin market capitalization excluding the top 10 cryptocurrencies rose to $242.26 billion, with RSI at 62.64 signaling improving momentum.
Analyst Ali Charts has identified ONDO, Algorand (ALGO), and Injective (INJ) as three real-world asset (RWA) altcoins to watch this week. His analysis highlights breakout levels and price targets for each token, including ONDO’s $0.46 neckline retest, ALGO’s $0.14 resistance, and INJ’s $7 support test. Meanwhile, broader altcoin market capitalization has recovered to $242.26 billion.
ONDO and INJ Retest Breakout Patterns
According to Ali Charts, ONDO appears to have broken out of a cup-and-handle pattern that began forming in January. The token has since retested its neckline near $0.46, which held as support.
https://twitter.com/alicharts/status/2109366724185489575?s=20
If that level continues to hold, the pattern projects a target of $0.90, nearly double the neckline price. Injective has also broken out of a cup-and-handle pattern and retested its neckline near $7.
Ali Charts said buyers need to defend that level for INJ’s projected $17 target to come into play. That target sits roughly 140% above the neckline, according to his analysis.
Algorand Needs to Clear $0.14 Resistance
Unlike ONDO and INJ, Algorand still needs to break above resistance. Ali Charts said ALGO continues to consolidate inside a channel capped near $0.14.
A daily close above that ceiling could confirm a breakout toward $0.19. The analyst highlighted two retests and one resistance breakout as the main price levels to watch this week.
Altcoin Market Cap Recovers Above $242 Billion
The four-hour market-cap chart excluding the top 10 cryptocurrencies shows a recovery from approximately 224 billion–226 billion on October 8–9. On October 12, the market cap reached $242.26 billion, gaining $1.56 billion, or 0.65%, on the latest candle.
Source: TradingView
Trading volume stood at $12.28 billion, while the Relative Strength Index reached 62.64 against its moving average of 51.42. The MACD line stood at $813.51 million, above the signal line at negative $527.7 million, with a positive histogram of $1.34 billion.
Resistance sits around 245 billion–250 billion, followed by $255 billion. Support lies near 235 billion–238 billion, with another zone around 224 billion–226 billion.

アナリストは80,600ドルでビットコインのショートポジションを手仕舞い、BTCを買い増した。79,000ドルまでの下落を否定したうえで、94,000ドルの目標価格を設定した。
ダークフォストは、84,000～85,000ドルがビットコインの最大の分配クラスターであり、投資資本の53％が83,000ドルを上回る水準にあると指摘した。
ビットコインは86,000～89,500ドルで上値抵抗に直面している一方、価格が下落した場合、79,000～77,000ドルがサポートゾーンとなる可能性がある。
ビットコインアナリストのドクター・プロフィットは、80,600ドルでショートポジションを手仕舞い、BTCを買い増した後、新たに94,000ドルの目標価格を設定した。一方、アナリストのダークフォストは、84,000～85,000ドルが最大の分配クラスターであり、投資資本の53％が83,000ドルを上回る水準にあると指摘した。両アナリストは、ビットコインの次の値動きを左右する可能性のある価格水準に注目した。

アナリストによると、SUIの4時間足で新たなSuperTrend買いシグナルが発生しました。これは、77.53%の上昇に先行した以前のシグナルに続くものです。
Kyle Chasseによると、Suiはステーブルコインの利回りを利用して約830,300トークンを買い戻しましたが、購入総額は明らかにされていません。
SUIは1.123ドル近辺で取引されており、1.14ドルの50日移動平均線を下回っています。レジスタンスは1.20ドルおよび1.25～1.29ドル、サポートは1.05ドル近辺です。
アナリストのAli Chartsが4時間足チャートでSuperTrend指標の転換を指摘し、Suiに新たなテクニカル買いシグナルが記録されました。このシグナルは、77.53%の上昇に先行した以前のセットアップに続くものです。一方、Kyle Chasseによると、Suiはステーブルコインの利回りを利用して約830,300トークンを買い戻しており、トークンをめぐる現在の市場動向に新たな材料が加わりました。

Palo Alto, United States, October 12th, 2026, Chainwire
Trace, the onchain registry for rights-cleared AI training data with more than 250 million verifiable receipts, brings its training data to Sui and Walrus to power the next generation of AI models.
Sui Foundation and The DATA Foundation today announced that the DATA Network and its Trace registry are joining the Sui stack, bringing a live supply of rights-cleared AI training data onto the infrastructure Sui has built for AI workloads. Walrus, the data platform with integrity proofs anchored on Sui, becomes the default storage layer for applications operated by DATA Foundation. Separately, the DATA Network will be upgraded to run as a protocol natively on Sui.
The upgrade gives AI labs a single place to source real-world training data they are allowed to use, with its provenance recorded by Trace and the original file stored and access-controlled on Walrus.
The data AI needs next
The next generation of AI models is constrained by access to real-world data. The open internet has been scraped, and the data that comes next must be sourced from people, with consent and with provenance that regulators and legal teams will accept. The EU AI Act and ongoing litigation over training data have made provenance a procurement requirement for labs.
The data those models need sits with people rather than on the open web: a nurse describing a patient’s night in her own words, a dashcam recording of a rainy commute in Jakarta, a factory technician’s hands as they diagnose a fault, or a customer call conducted in Bengali. It is personal and often regulated, and it belongs to the people who generated it.
Trace, launched by DATA Foundation in June as an onchain registry for AI training data, was built for exactly this kind of data. It records the origin of each contribution and the rights attached to it, and settles payment to the person who contributed it. It has registered more than 250 million contributions since launch and now processes over 3M receipts per day on average. Applications writing to Trace include Kled, the largest opt-in human data marketplace with over 1.5 billion records being onboarded, along with Numo and Oto, applications that already license data to frontier AI labs and robotics companies.
Why Sui and Walrus
Sui represents every asset as a programmable object, allowing datasets and their licenses to be managed onchain like tokens. Independent transactions execute in parallel and settle in under a second, making the network capable of handling millions of daily registrations. Walrus extends this capability to large files: it stores massive AI datasets efficiently and ensures data is only readable by licensed buyers. No other network offers storage, access control, and ownership tracking built natively into a single ecosystem, together with verifiable compute.
Trace now adds a flagship supply of rights-cleared data, with existing demand from the AI labs that license it today. The result of the integration will be stronger provenance guarantees and tamper evidence. Today a Trace record proves that a file was registered and when, and with Walrus, Trace will be able to hold an encrypted, immutable copy of the contributed file itself as a reference guarantee. The hash of the record can be regenerated from the data itself rather than from metadata an application supplied, and any later processing of the file can be checked against the original.
The upgrade is backed by a long-term strategic investment. Sui Foundation is investing $30 million in the DATA Network, establishing the largest institutional stake in the network, alongside the continuing holdings of PIP Labs and the DATA Foundation. Furthering the alignment, SY Lee, Chairman of Poseidon and CEO of PIP Labs, joins Sui Foundation as Strategic Advisor.
The protocol upgrade
DATA Network will be upgraded to run as a protocol natively on Sui, and its independent chain will be retired. $DATA continues as the token of the DATA protocol on Sui, carried over one-to-one, with holder economics and governance rights at least equivalent to today. Locked and vesting positions carry over unchanged. In parallel, Walrus becomes the default storage layer for DATA Foundation applications.
Adeniyi Abiodun, Co-Founder and Chief Product Officer at Mysten Labs, the original contributor to Sui and Walrus, said: “The AI industry has reached the point where the open internet has been read, and the next frontier is defined by access to datasets with the consent and provenance that regulators require. Sui and Walrus were built to be the home where AI data is stored, licensed, and paid for, capable of operating at the scale these systems demand. The migration of DATA Network and Trace to our stack now brings massive volumes of high-quality, rights-cleared data that is already serving the world’s frontier AI labs.”
SY Lee, Chairman of Poseidon and CEO of PIP Labs, said: “The next generation of AI will be trained on data that lives with people rather than on the open web, and that data needs consent and provenance built in, along with a way to pay the people it comes from, and Trace was built to be that layer. It now becomes part of the Sui stack alongside Walrus, backed by one of the strongest engineering organizations in the industry and with Sui Foundation as the network’s largest strategic holder. This is the right home for the network we built, and I am looking forward to helping Sui make it the data layer for AI.”
Andrea Muttoni, CEO of DATA Foundation, said: “Training data is critical for continuously expanding the frontier, and making sure it is traceable, auditable and cleared to use is just as important for AI safety as it is a precursor for data quality. With Trace, we have been tracking hundreds of millions of data assets. Joining forces with Sui now allows us to build out more of the stack, offering more than just an audit trail, like encrypted reference file storage and potentially fully verifiable TEEs for evals and fine tunings in the future.”
The existing DATA Network will continue to operate until the upgrade is complete, and a detailed timeline and holder transition plan will be published prior to the upgrade.
About DATA Foundation
DATA Foundation supports the DATA Network, the protocol for tracking provenance of the real-world data AI models need. Through Trace, each contribution is registered with its provenance receipt and a full audit trail. Applications building on the network include Kled, Numo, Oto, and others. Formerly Story Foundation, the organization refocused on AI training data in June 2026. The DATA Network is being upgraded to run as a protocol on Sui.
About Sui
Sui, where money moves as freely as messages, is a next-generation Layer 1 blockchain built for onchain finance and agentic infrastructure. Founded by the core team behind Meta’s stablecoin initiative and powered by an object-centric model, Sui makes assets, permissions, and user data programmable and verifiable. Sui’s primitives offer everything necessary to create high-performance finance and AI-native applications. Learn more at sui.io.
About Walrus
Walrus is the data platform built for the demands of AI. It lets builders, enterprises, and AI agents move data across apps and models, protect it with built-in access rules, and make it verifiable by anyone. As AI takes actions with consequence, the data it runs on has to be provable. Created by the cryptographers and distributed systems engineers behind Sui and Meta’s first stablecoin initiative. walrus.xyz
Media contacts
DATA Foundation: datafoundation@150bond.com
Sui Foundation: comms@sui.io
ContactHead of Communications
HV
DATA Foundation
henri.vues@piplabs.xyz

アナリストは、ビットコインの資本加重コストベースである80,500ドルを重要なサポート水準と位置づけ、この水準をめぐる不確実性が売りを増やす可能性があると警告しています。
ビットコインの売り手枯渇指標は、過去の局所的な高値に似たゾーンに入り、短期保有者の間で売り圧力が高まる可能性を示しています。
BTCは82,900ドル付近で取引されており、50日移動平均線の84,000ドルを下回る一方、200日移動平均線の81,800ドルを上回っています。重要なサポートは82,000ドル付近にあります。
アナリストのDarkfostによると、ビットコインは85,000ドルを上回る反発後、売り圧力が強まっています。一方、価格は重要なコストベース水準付近で推移しています。同氏の分析は、短期的な売り圧力が強まる可能性を指摘し、現在の状況を過去の局所的な市場の高値と比較しています。また、10月11日のビットコインチャートは、価格が50日移動平均線を下回るなか、短期的な勢いが弱まっていることを示しています。

XRPの次なる採用の節目は、機関が実際の金融商品やサービスでこのトークンを利用していることが公に確認されることかもしれません。
議会での法整備により、銀行はデジタル資産のカストディ、決済、取引、トークン化を評価する際、長期的な見通しをより確かなものにできる可能性があります。
Rippleのインフラ拡大は機関向けサービスを支えていますが、その成長がXRPへの需要拡大に直結するわけではありません。
規制の明確化と金融インフラの継続的な発展を背景に、XRPは機関投資家による採用に向けた重要な節目に近づいています。

Suiはライブのストレステストで毎秒4,060万件のトランザクションを処理し、従来の記録を6倍以上上回りました。
Alibaba Cloud、Samsung Wallet、Hashi、Circleとの連携により、SuiのAI決済、モバイルでのUSDC利用、ビットコイン金融、クロスチェーン決済が拡大します。
Ali Chartsは、1.30ドルを目先の上値抵抗線、2.40ドルを次の目標、8ドルをSUIの上昇チャネル内における長期目標としています。
Suiではエコシステムに関する5つの大きな進展が発表される一方、アナリストのAli Chartsは、1.30ドルを次の価格の壁、8ドルを長期目標として示しています。発表内容は、トランザクション処理能力、人工知能を活用した決済、モバイルでのUSDC送金、ビットコイン担保型金融、クロスチェーン決済に及びます。一方、SUIの週足チャートは、上昇チャネルの下限から反発したことを示しています。

NEARのnearcore 2.13アップグレードではML-DSA-65署名が導入され、ユーザーは資産を移転せずに量子耐性キーを追加できるようになりました。
量子耐性による保護は任意です。既存のキーも引き続きサポートされ、ユーザーが新しいキーを追加して使用した場合にのみ、アカウントが保護されます。
NEARのアップグレードでは動的なシャーディング再編成も導入されましたが、バリデーターキーは引き続き従来の暗号方式に依存しているため、ネットワークの一部は保護されていません。
NEAR Protocolは、ユーザーが資産を移動する必要なく、アカウントで量子耐性署名を利用できるようにしました。共同創設者のIllia Polosukhin氏によると、アカウント保有者はアクセスキーを変更することでセキュリティを強化できます。この機能はネットワークの7月のバージョン2.13アップグレードで導入されました。既存のキーも引き続きサポートされますが、この変更ですべてのNEARが保護されるわけではありません。

イーサリアムは2,493ドル付近で取引されており、Crypto Tonyは2,530ドルのレジスタンスを目標にしています。さらに2,560～2,600ドルにも抵抗帯があります。
ETHの4時間足RSIは35.12に上昇し、MACDヒストグラムは2.73でプラスに転じましたが、MACDの2本のラインはいずれもゼロを下回っています。
Crypto Patelは長期エリオット波動分析に基づき、イーサリアムは第3波で1万4,000ドル、第5波で5万ドルに達する可能性があると予測しています。
イーサリアムは10月初旬に約2,700ドルから下落した後、2,493ドル付近まで反発しました。アナリストのCrypto PatelとCrypto Tonyは、それぞれ異なる価格シナリオを示しています。Crypto Tonyは2,530ドル付近まで上昇する可能性を見込む一方、Crypto Patelの長期エリオット波動分析では、第5波の目標価格として5万ドルが示されています。

XLMは0.197ドルまで下落し、50日移動平均線の0.209ドルと200日移動平均線の0.202ドルを下回って取引されています。
Egrag Cryptoは0.24ドルをXLMのブレイクアウトのトリガーと見ています。一方、反転が確認されるまでは、0.16～0.17ドルがロングの候補ゾーンとして残っています。
XLMは目先のサポートである0.19ドルに直面しています。ブレイクアウトが確認されれば、0.31ドル、0.40ドル、0.70ドル、2.15ドル、4.20ドルが目標となる可能性があります。
アナリストのEgrag Cryptoによると、ステラ（XLM）は9月の0.24ドルに向けた回復を維持できず、約0.197ドルまで下落しました。同アナリストは0.24ドルを望ましいブレイクアウトのトリガーとしましたが、値動きの確認はまだ取れていないと述べています。一方、XLMは50日移動平均線と200日移動平均線を下回りました。

NEARは4.60ドル付近のサポートを失っており、下降チャネルを下抜けた場合、4.20ドルと3.70ドルまで下落するリスクがある。
JUPが4時間足チャートで0.31ドルを下回って終値を付けた場合、Jupiterの下値目標は0.28ドルと0.25ドルとなる。
QNTがネックラインである225ドルを下回れば、弱気パターンが確認され、Quantは140ドルに向けて38%下落する可能性があるとアナリストは指摘した。
アナリストのAli Chartsによると、暗号資産市場全体の価値が下落するなか、NEAR、Jupiter、Quantはさらなる損失に直面する可能性がある。同アナリストは、3つのトークンすべてで一段と深い調整を引き起こす可能性のある重要なサポート水準を特定した。一方、暗号資産市場全体の時価総額は4日間で約8%減少し、2.93兆ドルから2.69兆ドルに落ち込んだ。

Bitcoin現物ETFは10月9日に2,113万ドルの資金流入を集め、BlackRockのIBITが2,238万ドルの流入で主導した。
Ethereum ETFは5,610万ドルの流出を記録し、9営業日連続の下落基調を延ばした。
Santimentは、10月4日から10月8日にかけてBitcoin準備高が15,000 BTC減少する一方、ETHの取引所残高が10万ETH超増加したと報告した。
Bitcoin現物ETFは10月9日に2,113万ドルの資金流入を集めた一方、Ethereumファンドは9日連続の流出を記録した。Santiment Intelligenceも、10月4日から10月8日にかけてETHの取引所残高の増加とBTC準備高の減少を報告した。これらの数値は、両資産が価格下落に直面する中で、ファンドの資金フローと取引所での動きが異なっていたことを示している。

ADAが13%下落したにもかかわらず、Cardanoのアクティブアドレス数は10月7日に約27,500に達し、9月の平日平均の約1.7倍となった。
CIP-0113は10月7日にCardanoのメインネットでローンチし、ネットワーク活動の増加と時期が重なった。ただし、因果関係は確認されていない。
ADAは0.254ドル近辺で取引されており、0.234ドルのサポートが重要となる。ここを下抜けると0.215ドル、さらに0.196ドルまで下落する可能性がある一方、レジスタンスは0.27～0.28ドルにある。
ADA価格が2日間で13%下落するなか、Cardanoの1日あたりのアクティブアドレス数は10月7日に約27,500に増加した。Santiment Intelligenceによると、10月8日も活動は高水準を維持し、アドレス数は約27,200に達した。これは9月の平日平均の約1.7倍に相当する。この増加は、CIP-0113トークン規格がCardanoのメインネットでローンチした時期と重なった。

FinanceBroの30日間比較によると、XRP Ledgerは800万件を超えるAI決済を処理したと報告されており、複数のネットワークを上回りました。
x402を利用するSolanaが1,560万件の決済で最も目立っており、Monadが320万件、Polygonが160万件で続いています。
BXEは、台帳インフラを通じて出版社、ジャーナリスト、コンテンツをつなぎ、XRPLの用途を分散型メディアへと広げるものとして紹介されています。
報告されているAI決済の利用拡大を受けてXRP Ledgerが注目を集める一方、BXEは分散型メディアのユースケースを導入し、ブロックチェーンインフラのさらなる拡大につながる可能性があります。

Major technology firms are linking AI systems with Hedera-based verification, creating a broader enterprise framework for trusted computation.
IBM, Dell, Accenture and ServiceNow are all providing different enterprise capabilities to complement AI integrity with Hedera infrastructure.
The proposed architecture connects protected computing, cryptographic evidence, consensus records, and compliance processes across enterprise AI environments.
As leading enterprise tech companies build AI trust systems around Hedera, it's becoming an increasingly popular choice. The model is linked to verification, governance, compliance and protected computing.
Enterprise Giants Build Around AI Trust
Tokenicer argues that Hedera’s governing council reflects a broader enterprise AI trend. The post points to IBM, Dell, Accenture, and ServiceNow. These companies serve major corporations, institutions, and government organizations across multiple sectors.
Source: X
The supplied graphic places Hedera Consensus Service at the architecture’s center. HCS provides timestamping and verification for computing events. Hedera Token Service adds another layer for recording digital assets and related information.
IBM appears alongside AITrust and Watson within the proposed framework. The graphic references self-sovereign identities for AI agents. It also describes verifiable Know-Your-Agent capabilities and cryptographic notarization.
Dell is presented through its AI Factory ecosystem and enterprise infrastructure. This is a graphic reference for self-sovereign identities of AI agents. That arrangement places protected AI operations closer to independently recorded verification.
Verification Connects Computing With Consensus
The governance and professional-services side of the framework is represented by Accenture. It includes references to AI governance and applications in the public sector. The graphic also associates its activities with NVIDIA Blackwell deployments.
ServiceNow adds enterprise workflow capabilities to the proposed architecture. Its section references native EQTY connectivity and real-time compliance. Hedera-anchored proofs are presented alongside automated AI recommendations and workflow processes.
The foundation layer introduces Intel TDX and NVIDIA into the structure. It describes hardware-rooted trust, confidential AI operations, and tamper-resistant evidence. These components provide the computing foundation before verification reaches consensus.
The verification formula then creates a defined sequence for AI activity. AI operations generate evidence through hardware-rooted cryptographic notarization. That evidence reaches consensus before becoming a tamper-resistant compliance record.
Enterprise Governance Expands the Framework
The graphic describes a council involving up to 39 member organizations. Members can participate in network governance while remaining operationally independent. The structure also connects those organizations with network infrastructure and services.
Tokenicer’s post places emphasis on the scale of these council participants. IBM is described as having held a leading US patent position for decades. Dell, Accenture, and ServiceNow are similarly presented through broad enterprise reach.
At the time of writing, HBAR trades around $0.0927, according to CoinMarketCap data. Its October 7 reference rate stood near $0.0929. The token had closed near $0.0998 on October 6, showing recent market weakness.
The second graphic reinforces Hedera’s position as connective infrastructure. IBM, Accenture, Dell, and ServiceNow surround the network’s central Hedera symbol. The presentation therefore focuses on enterprise integration rather than token speculation.
The supplied material ultimately describes an AI trust architecture built around verification. Protected computation produces evidence before the Hedera consensus records those events. The framework then connects those records with compliance, governance, and enterprise workflows.