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PaiCoin has recently experienced a slight rebound, with a price of $0.2074, but short-term recovery coexists with medium-term decline. Technical analysis shows bullish signals, and its market capitalization ranks 46th among cryptocurrencies. The community's debate over the valuation model has intensified, and the lack of specificity in the 2026 roadmap has raised investor trust issues.

[1] Introduction: Bitcoin breaks through $90,000, and the atmosphere is filled with calls of "Uptober" driven by quantitative algorithms. However, ETF funds are shifting to net outflows, and liquidity is clearly flowing into derivatives.
&39;Is this rebound a recovery based on actual demand, or an illusion caused by liquidity reallocation?&39; Exploring the essence of the rebound is the core focus of this week's market analysis.
[2] Internal Market Analysis ① (Price and Asset Structure): Bitcoin(+1.91%) and Ethereum(+4.43%) are leading the market with strong performance, but this is accompanied by an increase in Ethereum's market share and a decrease in Bitcoin's share. Altcoins are performing even more strongly. Dogecoin(+10.96%), Cardano(+8.91%), Ripple(+6.46%), and others have seen significant gains far exceeding Bitcoin. However, this rally is not based on technological or ecological expansion, but is heavily influenced by leveraged trading dominated by derivatives, which means it is not a fundamental...

The cryptocurrency market is on an upward trend in early 2026, with Bitcoin breaking through 130 million KRW, boosting institutional investors' confidence in buying. Ethereum and Ripple have also risen, and future volatility may increase. Investors should pay attention to technical resistance levels and policy changes.

Jeollanam-do will provide 400 billion KRW in low-interest loans to support small and medium-sized enterprises to address challenges caused by economic slowdown and high interest rates. The funds are divided into bank funds and policy funds, with interest rates below market levels, aiming to ease the burden on businesses, stabilize operations, promote employment, and regional economic development. This move could become a new model of enterprise financial support led by local governments.

The International Bank Communication Association (SWIFT) has decided to collaborate with 17 countries and 32 major banks worldwide to introduce a new system that significantly shortens overseas remittance times. This move aims to address existing processing delays, with the goal of achieving near real-time interbank transfers as early as 2026.
Currently, SWIFT is a global remittance network used by approximately 11,000 financial institutions worldwide. About 75% of overseas remittances processed through this system can be delivered to the recipient bank within 10 minutes, but afterward, due to internal reviews or procedural delays, actual funds often take longer to arrive. This causes inconvenience and additional costs for individuals and businesses.
The promoted system is considered a highly effective improvement plan. It requires each participating bank to establish a dedicated organization to provide 24-hour remittance services, without significantly altering the existing SWIFT infrastructure. U.S. banks such as Bank of America and

In early 2025, the news that Meta acquired Manus AI for approximately $2 billion shook the tech industry. This startup achieved an astonishing growth from zero to $100 million in annual recurring revenue in just 8 months, but what is truly remarkable is its technological focus: autonomous artificial intelligence agents. This marks a significant shift in AI from passive responses to proactive execution, with tech giants betting on a future where AI "acts" rather than just "talks."
Technology Architecture: Layered Planning and Multimodal Execution
Manus's core technological breakthrough lies in its layered task planning system. Unlike large language models that generate answers in a single shot, Manus decomposes complex goals into executable sub-tasks arranged in hierarchical layers, dynamically adjusting strategies based on environmental feedback during execution. This design enables the system to handle unprecedentedly complex task combinations, rather than merely executing pre-set scripts. Multimodal