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CryptoRank Article Rating

Bank of England to Unveil Stablecoin Regulatory Regime, Keeping Pace With US | Altcoin Stablecoin

  • Bias Rating
  • Reliability

    55% ReliableAverage

  • Policy Leaning

    -46% Medium Left

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

25% Positive

  •   Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

60% : UK's Dual-Tier Stablecoin Framework Aims to Balance Innovation and Stability The proposed rules will initially target "systemic" stablecoins, those expected to play a significant role in payments, while smaller stablecoins will remain under the Financial Conduct Authority (FCA) with a lighter regulatory framework.
59% : The new official will coordinate private sector efforts on tokenizing wholesale financial instruments and ensure that innovation aligns with the country's regulatory framework.
55% : The Bank of England (BOE) is preparing to release its long-awaited regulatory framework for stablecoins, aiming to match the pace of US developments in digital asset oversight, according to Bloomberg.
51% : Deputy Governor Sarah Breeden dismissed suggestions that the UK is trailing behind the U.S., telling Bloomberg that the new regime would become operational "just as quickly as the U.S." The BOE will publish its formal consultation on stablecoin regulation on November 10, she confirmed to Reuters.
50% : Last month, HM Revenue & Customs (HMRC) also intensified its scrutiny of the crypto sector, sending 65,000 "nudge letters" to investors suspected of underreporting or evading taxes on digital assets, more than double last year's figure.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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