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U.S. spot BTC ETFs see $1.1 billion in 3-day inflows, set for biggest week since mid-January

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U.S. spot BTC ETFs see $1.1 billion in 3-day inflows, set for biggest week since mid-January

U.S. bitcoin exchange-traded funds (ETFs) are on track to snap a streak of five consecutive weeks of net outflows with their strongest performance since mid-January.

The funds recorded net inflows of $1.1 billion in three straight days, according to data from SoSoValue, leaving them roughly $815 million ahead after Monday’s net outflow is taken into account, the most since adding $1.4 billion in the week ended Jan. 16.

BlackRock’s iShares Bitcoin Trust (IBIT) accounted for more than half of the three-day flow, drawing in roughly $652 million. On Wednesday, Grayscale’s GBTC, which carries the highest fee among the funds, posted its largest single-day inflow since converting from a trust structure to an ETF.

The renewed inflows suggest U.S. demand is returning, an conclusion reinforced by the Coinbase Premium Index turning positive after 40 days in negative territory. The index tracks the price difference between bitcoin on Coinbase (COIN), which is accessible to firms in the world’s largest economy, and the broader global market. It is widely used as a gauge of U.S. institutional flows and sentiment.

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Data from Checkonchain shows total bitcoin holdings across U.S. spot ETFs climbed to 1.29 million BTC, putting assets under management (AUM) less than 10% below their October peak.

This comes despite the spot price of bitcoin remaining 45% below its October record. The largest cryptocurrency has continued to consolidate around the mid $60,000 range this week.

Meanwhile, open interest on the Chicago Mercantile Exchange (CME) has continued to decline, falling to 107,780 BTC, according to Glassnode data. Because CME allows institutions to simultaneously take a long position in spot bitcoin and a short position in futures — a strategy known as a basis trade — the drop in futures can be seen as indicating the ETF inflows are outright long positions.

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Axiom Crypto Exposed: ZachXBT Alleges $400k Insider Trading

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Axiom Crypto Exposed: ZachXBT Alleges $400k Insider Trading

ZachXBT just uncovered what looks like a coordinated insider trading ring at Axiom crypto. According to his findings, senior employees used internal data tools to front-run user trades for more than 10 months, allegedly pocketing over $400,000 in the process. The method involved privileged back-end access that allowed staff to track and mirror high-value wallets before the broader market reacted.

This points to deeper governance failures at a platform generating roughly $390 million in annual revenue. Non-technical staff reportedly had unrestricted access to live user identifiers, exposing a serious breakdown in internal controls.

Key Takeaways

  • The Actor: Senior business development staff with unrestricted admin access to live user databases.
  • The Method: Cross-referencing internal UIDs with on-chain data to identify and front-run KOL wallets.
  • The Failure: A YC-backed unicorn generating $390M revenue operating with zero role-based access controls.

How the Insider Trading Scheme Operated Inside Axiom Crypto

The scheme was simple and effective. Investigators say employees used internal admin dashboards meant for support and compliance to pull private user data. By linking User IDs to on-chain wallets, they could identify high-profile traders and institutions behind supposedly anonymous addresses.

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From there, the play was straightforward. Monitor activity, then trade ahead of it. Buy before a large wallet pushed price. Sell before a whale exits. It was front-running their own users.

The activity reportedly lasted at least 10 months. The troubling part is that business development staff had the same level of system access as technical security teams. That breakdown in internal controls created the information asymmetry that made the scheme possible.

Discover: The best crypto to diversify your portfolio with

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$390M Revenue vs. Zero Access Controls: What Is Axiom Team Response?

Axiom generated $390 million in revenue and scaled rapidly, but the investigation shows its internal controls lagged far behind its growth.

The platform reportedly lacked basic role-based access controls. Business development staff had broad visibility into user identifiers and trading data, creating a “God mode” environment. Proper least-privilege systems and audit logs likely would have flagged the activity early. Instead, it allegedly went unnoticed for nearly a year.

The case highlights a common startup flaw: growth and volume are prioritized, while governance is deferred. That works at a small scale. At billions in volume, it becomes a liability.

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Axiom has confirmed a full internal audit. But the reputational damage is significant, and regulators may view the alleged $400,000 in insider profits as potential fraud.

Discover: The best new crypto in the world

The post Axiom Crypto Exposed: ZachXBT Alleges $400k Insider Trading appeared first on Cryptonews.

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Pantera, Franklin Join Sentient Arena AI Agent Testing Initiative

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Pantera, Franklin Join Sentient Arena AI Agent Testing Initiative

Pantera Capital and Franklin Templeton’s digital assets units have joined the first cohort of Arena, a new testing environment from open-source AI lab Sentient that is designed to evaluate how AI agents perform in enterprise-style workflows.

In a Friday announcement shared with Cointelegraph, Sentient positioned Arena as a production-style benchmarking platform rather than a static model test. Instead of scoring agents on fixed datasets alone, it runs them through standardized tasks modeled on enterprise conditions, including long documents, incomplete information and conflicting sources. 

“In this initial phase, participation refers to supporting the Arena program and developer cohort,” Oleg Golev, product lead at Sentient Labs, told Cointelegraph.

He said partners are helping shape what “production-ready reasoning” looks like for document-heavy tasks such as analysis, compliance and operations. The companies are not announcing capital commitments tied to the initiative. 

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Related: Jack Dorsey’s Block to cut 4,000 jobs in AI-driven restructuring

The launch comes as enterprises accelerate the deployment of AI agents into research and operational workflows, even as governance frameworks lag. 

According to the Celonis 2026 Process Optimization Report, published Feb. 4, 85% of surveyed senior business leaders aim to become “agentic enterprises” within three years, while only 19% currently use multi-agent systems.

The 2026 Process Optimization Report. Source: Celonis

Production-style evaluation, not static scoring

Golev described Arena as a shared platform where developers submit AI agents to standardized tasks and compare results under consistent testing conditions.

The platform tracks failure categories such as hallucination, missing evidence, incorrect citations and reasoning gaps, allowing developers to diagnose recurring issues.

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Arena plans to publish comparative performance metrics through a public leaderboard and release postmortems summarizing common failure modes and fixes.

Infrastructure partners, including OpenRouter and Fireworks, are supplying inference compute for the initial cohort, while other partners support tooling and workshops.

Related: High-yield bond surge signals rising risk, demand in BTC mining, AI infrastructure

Governance layer amid rising AI autonomy

The initiative emerges as financial and crypto companies experiment with giving AI systems greater economic autonomy.

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On Wednesday, MoonPay launched infrastructure enabling AI agents to create wallets and execute stablecoin transactions.

On Thursday, Stripe executives warned that blockchains may need significant scaling improvements if AI-driven commerce expands.