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Crypto news today, October 25: The US stock market ends a wild week in the green, Trump's crypto push causes a stir while Bitcoin price falls
Tezos price is testing lower Bollinger Band support at $0.58 amid a broader crypto selloff
Bitcoin has a new weekly close target above $108,300
AVAX slips below $22, Digitap gains attention amid presales surge
Bitfinex Securities Progress at Astana Finance Days 2025
XRP cannot break the downward trend, but the bullish plan remains valid
Ethereum puts the date for Fusaka Mainnet fork for scaling rollups date
NVIDIA improves the training throughput with Megatron Core from Nemo-RL
Crypto news was anything but calm today. The week started with a 3 percent drop in the price of Bitcoin, followed by a downturn across
Terrill Dicki Oct 19, 2025 09:36 XTZ is trading at $0.58 with the RSI at 36.88 as Tezos technical analysis shows the price testing key
Key points: According to analysis, Bitcoin can maintain the bull market range if it reclaims the $108,400 mark in the coming hours. Volatility increases heading
Avalanche (AVAX) has fallen nearly 30% in the last week and 33% in the last month, sparking new debate about whether the altcoin's bullish days
This is what crypto analyst Remi predicted the XRP price could reach $1,200. The analyst also highlighted factors that could trigger this 50,000 percent rise
Lawrence Jengar September 19, 2025 17:23 At Astana Finance Days 2025, Bitfinex Securities marked considerable progress and signaled the maturity in tokenized securities with a
Most important snack: XRP has not managed to keep 3.12 US dollars and to align with immediate resistance at $ 3.30. Onchain data show a
The Fusaka upgrade from Ethereum is temporarily planned on the Mainset on December 3 to expand the data capacity for rollups and at the same
The XRP price shows signs that an earlier price pattern is repeated that once led to a strong rally. According to the Crypto Analyst Egrag
Ted Hisokawa August 20, 2025 16:26 NVIDIA introduces the support of Megatron Core in NEMO-RL V0.3 and optimizes the training throughput for large models with