PEPE rockets 10%, fueled by Ethereum bounce and strong retail buying interest.
Liquidation zones near key prices could trigger short squeezes and further gains.
Growing profitable holders and transaction volume suggest momentum toward 2024 highs.
The memecoin market has reclaimed the $80

Shiba Inu (SHIB) is still reflecting poor price performance, as investors are now frustrated that this cryptocurrency cannot uphold an increase in price. On the 4-hour chart, SHIB repeatedly fails to break above key resistance levels. As a result, investor attention is shifting to a rising rival,

Dubai, United Arab Emirates – August 11, 2025: Global crypto markets have surged from recent lows, with bitcoin edging closer to a new all-time high. The rally follows U.S. President Donald Trump’s signing of an executive order last week permitting 401(k) retirement plans to invest in

ETH rallies from $2,050 bottom toward $4,750, resembling pre-euphoric stages from 2017 and 2021 cycles.
Break above $4,800 could lead to fast gains toward $7K–$10.6K; failure risks drop to $3,100–$3,500.
Reclaim of $4K and ascending trendline since 2022 supports the bullish outlook if Bitcoin

Author: Hilary J. Allen Source: American University
Ten years after the UK's Financial Conduct Authority launched its fintech regulatory sandbox, this model has become globally popular, but the actual effects of its core principle—combining regulatory relaxation with guidance—still lack strong evidence. Existing evidence only shows that the sandbox benefits participating companies, but fails to prove its impact on the overall regulatory system or the widespread benefits of innovative outcomes. The two major concerns at the birth of the sandbox (the weakening of regulatory effectiveness and doubts about promoting regulatory learning outcomes) have not only persisted in practice over the past decade but have sometimes intensified. Although design optimizations can alleviate some issues, the fundamental challenge lies in the need to re-examine the sandbox model itself, especially in the current context of promoting generative AI innovation. Given the inherent limitations that are hard to break in the expansion of generative AI, and its significant negative impacts on privacy, intellectual property, and the ecosystem, rushing to boost AI is unwise.

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