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ETFs bleed $3.8 billion in historic five-week outflow streak

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ETFs bleed $3.8 billion in historic five-week outflow streak

Investors just pulled nearly $3.8 billion from U.S.-listed spot bitcoin exchange-traded funds over five straight weeks, the longest outflow streak since February 2025.

Last week alone saw $316 million vanish, according to SoSoValue.

Leading the outflows trend is BlackRock’s IBIT. The fund has lost $2.13 billion over five straight weeks of outflows.

This shows institutions are still steering clear of the leading cryptocurrency, extending the aversion that kicked in after the early October crash, which exposed its vulnerability to shenanigans on offshore exchanges such as Binance.

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While the latest outflows trend matches the one from February last year in length, it’s not as bad, with just $3.8 billion yanked versus $5 billion back then. That prior streak paved the way for a market swoon over the following weeks, with bitcoin falling as low as $75,000 in early April.

Right now, bitcoin is already trading well below that level, changing hands just under $65,000 as of writing.

Analysts have attributed the ongoing risk aversion to lingering U.S.-Iran tensions, President Donald Trump’s fresh global tariff announcement, and technical price-chart factors.”

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Crypto World

JPMorgan concedes it debanked Trump after Capitol attack

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JPMorgan concedes it debanked Trump after Capitol attack

JPMorgan concedes it debanked Trump after Capitol attack

Court documents indicate that JPMorgan de-banked Trump, with debanking one of the main reasons the Trump family turned to crypto. 

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AI Assistants could Transform Governance: Buterin

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AI Assistants could Transform Governance: Buterin

Ethereum co-founder Vitalik Buterin says artificial intelligence could help create more efficient decentralized governance models and enable users to make better-informed decisions.  

Buterin said in an X post on Sunday that one of the main issues with democratic and decentralized modes of governance, like DAOs, is the “limits to human attention,” because of the many decisions that can require a wide range of expertise or time, which most don’t have.

“The usual solution, delegation, is disempowering it leads to a small group of delegates controlling decision-making while their supporters, after they hit the delegate button, have no influence at all,” he said.

Source: Vitalik Buterin

It’s estimated that average participation rates in DAOs are between 15% and 25%. This can lead to issues such as the centralization of power and ineffective decision-making. Worst-case scenarios can result in governance attacks, where a bad actor acquires enough tokens to pass a damaging proposal without other members noticing.

AI-powered assistants that vote for you

Buterin proposes that personal assistant large language models (LLMs) could help solve the “attention problem” by providing users with the relevant information needed for a vote.

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“If a governance mechanism depends on you to make a large number of decisions, a personal agent can perform all the necessary votes for you, based on preferences that it infers from your personal writing, conversation history, direct statements,” he said.