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BTC $64,790.96 +0.41%
ETH $1,912.29 +0.19%
BNB $591.63 -0.14%
XRP $1.01 -2.26%
SOL $73.41 +0.53%
TRX $0.3273 +0.19%
DOGE $0.0696 +1.06%
ADA $0.1979 -3.10%
BCH $215.10 +0.25%
LINK $8.19 -1.19%
HYPE $54.10 -3.76%
AAVE $89.79 +0.92%
SUI $0.6684 -1.42%
XLM $0.1608 -0.98%
ZEC $512.29 +3.40%

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Analyst: The Bitcoin bull market may have started, with multiple technical indicators signaling a bottom

Cryptocurrency analyst Ai posted on the X platform that multiple technical indicators at the monthly level for Bitcoin are releasing bullish signals, suggesting that the current market may have formed a macro bottom. Data shows that the TD Sequential indicator triggered a buy signal on the Bitcoin monthly chart last month. This indicator previously successfully identified the bottom of the bear market in 2022 and is now showing a similar signal again. Additionally, Bitcoin's current price is close to the 50-month simple moving average (SMA). Historical data indicates that since 2014, this long-term moving average has repeatedly become an important support area for Bitcoin and corresponds with multiple market bottoms.Meanwhile, the Chande Momentum Oscillator (CMO) has fallen back to around -71. The last time this indicator reached a similar level was in June of this year, when Bitcoin's price briefly dropped to $57,000. Historically, extreme low levels of CMO often coincide with market bottom areas. Analysts believe that Bitcoin may still oscillate in the range of $60,000 to $67,000 in the short term, but the TD Sequential buy signal, 50-month moving average support, and CMO oversold condition together indicate that a long-term cycle bottom may have formed. The market will focus on whether subsequent prices can break through the oscillation range to confirm a new upward trend.

hot_img Expected direction of South Korea's secondary regulations on security tokens: allowing asset pooling and setting trading limits for general investors

According to the expected plan compiled by the Korea Digital Convergence Industry Association, the secondary regulations for Security Token Offerings (STO) in South Korea may include: allowing "pooling" issuance of similar types of underlying assets, setting over-the-counter trading limits for general investors, clarifying the licensing conditions and business scope for non-standard securities over-the-counter exchanges, and developing a phased roadmap for the tokenization of standard securities. In addition, the technical and financial requirements for issuer account management institutions are also expected to be included in the regulations.This expected plan is based on publicly available policy directions and industry discussions and is not an official version. Specific standards still need to be determined through legislative announcements, regulatory reviews, and other procedures. Previously, the STO market was primarily focused on single assets; if pooling is allowed, it could promote the issuance of multi-asset composite products such as music copyrights and real estate. The over-the-counter trading limits for general investors are expected to be higher than existing sandbox cases, but the final limits still need to balance investor protection and market liquidity. The status of non-standard securities over-the-counter trading platforms and existing operators, as well as the future path for the tokenization of standard securities (stocks, bonds), will be key focuses moving forward. The industry warns that after the regulations are implemented, the preparation time for related companies' systems and internal controls may be quite urgent.

Analysis: The market digests SpaceX's selling pressure, the release of stocks worth hundreds of billions of dollars has landed, but the stock price has not seen a significant drop

According to Bloomberg, SpaceX's stock performed relatively steadily on Thursday, following the expiration of a lock-up agreement that restricted insiders from selling shares, involving the release of approximately 911.5 million shares, valued at about $100 billion based on current estimates.Trading data shows that SpaceX's stock price fluctuated within a range of less than 3% in the early morning, as the market digested the potential selling pressure from this large-scale share release. In the first 30 minutes after the market opened, the trading volume approached 93 million shares, accounting for about 40% of the total trading volume from the previous trading day.This release occurred shortly after SpaceX's first financial report was published. Previously, due to concerns from investors about the company's investment in artificial intelligence being higher than expected, SpaceX's stock price had dropped by about 14%. However, most Wall Street analysts still maintain a long-term optimistic view of the company.The market's focus includes SpaceX's future investment plans in AI, satellite internet, and mobile communications. Although facing short-term capital expenditure pressures, analysts believe that the company's leading position in rocket launches, the Starlink satellite network, and the commercial space sector remains an important factor supporting its long-term valuation.This stock release, valued at approximately $100 billion, has also become an important event for the market to test investor confidence after SpaceX's listing. The stock price did not experience significant fluctuations, indicating that the market had certain expectations regarding the liquidity release for internal shareholders.

Marvell launches AI "memory decoupling" architecture to address the bandwidth bottleneck of Agentic AI inference

According to official news, Marvell Technology announced the launch of a new generation of memory solution portfolio for AI infrastructure, covering server-level AI storage, rack-level CXL memory expansion and pooling, as well as multi-rack optical interconnect shared memory, aimed at addressing the growing memory capacity and bandwidth bottlenecks in Agentic AI inference processes.Marvell stated that as AI model sizes increase, context windows extend, and KV Cache demand grows, traditional tightly coupled architectures of computing and memory are limiting AI inference efficiency. Through memory disaggregation, memory resources can be made more independent of computing resource expansion, improving GPU utilization and reducing data movement latency. The products released include:Bravera SC6 PCIe 6.0 SSD controller: Designed for AI inference storage scenarios, it helps cloud service providers migrate more KV Cache to high-performance SSDs, enhancing infrastructure efficiency. This product features an architecture compatible with multi-vendor NAND and is expected to begin sampling in the fourth quarter of 2026.Marvell Structera X memory expansion solution: Based on CXL technology, it supports rack-level memory expansion and resource pooling, helping data centers share and allocate memory resources more flexibly, reducing AI infrastructure costs.Marvell Photonic Fabric optical interconnect memory solution: Constructs a shared memory architecture across multiple racks using optical interconnect technology, supporting up to 32TB warm KV Cache offloading and helping AI inference clusters enhance throughput capacity.Marvell stated that the Photonic Fabric solution can achieve a 2 to 3 times increase in Token throughput under existing data center space and power consumption constraints, supporting larger scale models and longer context AI applications.Marvell executive Will Chu stated that AI infrastructure is transitioning from a single server architecture to a system where computing, memory, and connectivity operate in synergy, and in the future, memory needs to expand more independently to enhance resource utilization and Token efficiency.As the demand for AI Agents and large model inference continues to grow, memory capacity, bandwidth, and data transfer efficiency are becoming new focal points of competition in AI infrastructure, following computing power.
2026-08-04
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