The cryptocurrency market continued its upward trend in the first week of January 2026, led by Bitcoin. Bitcoin is currently trading at 128.2 million won, up 1.3% over the past 24 hours. However, rather than concluding that this rise represents a new all-time high, it's more accurate to interpret it as a rebound early in the year, following a period of consolidation and sideways trading following last year's peak. Interest from institutional investors, supply constraints, and expectations of interest rate cuts are cited as factors behind the short-term price recovery.
Ethereum is also currently trading at around 4.36 million won, up 1.5% over the past 24 hours. While maintaining its leading position as a smart contract platform, analysis suggests that the Proof-of-Stake (PoS)-based staking structure and the expansion of the Layer-2 ecosystem are boosting network utilization and positively impacting its valuation.
XRP's rapid expansion in international remittance demand, coupled with expectations of changes in the regulatory environment and ongoing ETF discussions and review processes, rather than the approval of spot ETFs in the US market, are influencing investor sentiment. It is currently trading at around 2,723 won, up 3% over the past 24 hours. The increased use of XRP in the cross-border payments market is cited as a factor supporting its price.
Solana is currently trading at 184,000 won and is attracting more developers with its high-performance and low-fee features. If this is accompanied by an increase in total assets locked in the DeFi ecosystem, it is expected to improve network performance and enhance investment appeal.
The overall market is a mix of positive factors, including institutional interest, expectations of regulatory clarity, and increased stablecoin liquidity. However, given the potential for increased volatility during short-term surges, some argue that risk management and a phased approach are necessary, rather than chasing buys.
TokenPost AI Notes
This article was summarized using a TokenPost.ai-based language model. Key points in the text may be omitted or inaccurate.
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