Crypto

In the past 24 hours, the cryptocurrency market has experienced a significant downturn, with the total market capitalization dropping to $2.07 trillion, marking an 8.6% decline. One of the major casualties of this market correction is Bitcoin, the leading cryptocurrency, which saw its price fall below $54,000 for the first time since February. This sharp
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The asset management firm Bitwise has recently made amendments to its S-1 registration with the SEC in order to list and trade shares of a spot Ether exchange-traded fund (ETF). This move comes in response to SEC Chair Gary Gensler’s statement regarding the potential approval of spot Ether ETFs by summer 2024. While some analysts
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The Bitcoin network is currently displaying signs of miner capitulation. This phase is characterized by miners either ceasing their operations or selling off a portion of their Bitcoin reserves. Interestingly, historical data suggests that such a scenario often precedes a bottoming out of Bitcoin prices, ultimately leading to a subsequent uptrend in the asset’s value.
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Bitcoin’s price has experienced a 15% decrease since reaching its all-time high of over $73,500 in mid-March. Despite this dip, there are indications that the bullish trend may not be coming to an end just yet. One key metric to consider is the Fear and Greed Index, which provides insight into investor sentiment. A reading
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As we approach the mid-year mark of 2024, it is evident that Bitcoin and Ethereum have emerged as the top-performing assets in the financial market. Surpassing traditional investments such as the Nasdaq, S&P 500, oil, gold, the U.S. dollar, and government bonds, these cryptocurrencies have shown impressive growth and profitability. Matrixport highlighted in a recent
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Charles Hoskinson, co-founder of Cardano, recently expressed his concerns about the impact of AI censorship on the accessibility of knowledge. In a series of tweets, he highlighted the problem of alignment training in AI models and how it is affecting the dissemination of information. AI censorship refers to the use of machine learning algorithms to
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