SOL再现历史奇迹？突破在即, 剑指 200 大关

金色财经Published on 2024-09-10Last updated on 2024-09-10

Solana 价格经历了显著的交易势头，市场前景乐观。主要趋势表明投资者兴趣持续增长，这是在 SOL 的出色表现和交易量上升之后发生的。

v2-17775f66493189c198aa7b4da8fdbeb8_720w.png

Solana (SOL) 的价格最近经历了显着上涨。目前，加密货币正在关键支撑位附近稳定下来，多头正在努力进一步推动其势头。SOL 的这种积极趋势反映了整个市场普遍出现的复苏趋势。

Solana 技术分析和关键水平

SOL 目前在 135 美元附近面临强大阻力，过去十个交易日一直处于这一阻力位。如果它突破并收于该水平上方，我们可能会在未来几天看到价格大幅上涨 35% 至 185 美元。

v2-e5bbb13855e5f5ea9d27ef9bad7e70a2_720w.png

尽管在每日时间范围内交易价格低于 200 指数移动平均线 (EMA)，但Solana (SOL) 似乎看涨。然而，其相对强弱指数 (RSI) 已形成看涨背离，表明趋势从下行趋势逆转为上行趋势。

另一方面，链上指标也支持这种看涨前景。CoinGlass 的 SOL OI 加权融资利率目前为 +0.0068%，呈绿色，表明看涨情绪。

v2-bfb676071c8118a7ff8381dca119a06b_720w.png

同时，SOL多头/空头比率高于 1.12，表明交易员表现出看涨情绪。目前，53.25% 的 Solana 顶级交易员持有多头仓位，而 46.7% 持有空头仓位。

v2-7f929cf3d1d1dfe2120977b77cd4bb57_720w.png

这些数据表明，多头主导着资产，SOL 很有可能突破这一障碍，迎来即将到来的价格飙升。然而，这种看涨前景和价格飙升的论点只有在 SOL 突破阻力位并收于 138 美元上方时才会成立，否则可能会失败。

9 月份将有更多看涨趋势吗？

Solana 的价格在过去 24 小时内大幅上涨，表明市场情绪看涨。山寨币价格徘徊在 130 美元以上，其交易图表最近大幅上涨。

目前，SOL 价格为 133.32 美元，过去一天上涨约2.59%。根据 CoinMarketCap 的数据，交易量飙升了 77.9%，表明投资者兴趣和市场活动有所增加。

第一层区块链的每日技术指标显示出明显的波动模式。仔细观察移动平均收敛散度 (MACD) 表明动量可能发生变化。尽管直方图上最近的红色条表明看跌阶段，但负动量明显减少，暗示可能出现积极的价格走势。

v2-173cb638a74bfef77d54aea9203e310a_720w.png

根据Coinglass 的数据，Solana 的交易量激增 77.9 %，达到24.4 亿美元。同时，未平仓合约也增长了 1.22%，达到 20.4 亿美元。交易量和未平仓合约的显著增长凸显了人们对 Solana 市场活动的兴趣日益浓厚，流动性也有可能增强。

v2-2fcadf4c6d1d00154e73baaf2b5c59c6_720w.png

如果市场趋势转好，Solana 的价格预测可能首先将目标价格定为 145 美元。随后的飙升可能会将其推向 150 美元，甚至在上升趋势中可能达到 180 美元。随着看涨势头的增强，SOL 的价格可能很快就会达到 200 美元大关。

简单来说

目前 SOL 交易量激增价格上涨，表明投资者的兴趣和活动强劲。与此同时技术指标支持看涨趋势，市场趋势与情绪正在转好，短期内 SOL 的技术指标与市场情绪等支持看涨前景。长期来看，随着看涨背离的形成与市场活动日益活跃，这将支持 SOL 的上升趋势，如果 Solana (SOL) 的日收盘价高于 138 美元，其价格可能上涨 35% 至 185 美元。

Related Reads

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit1h ago

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit1h ago

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

"a16z: 7 Charts on How Tokenization is Changing the Nature of Assets" Tokenized Assets (or Real-World Assets - RWA) are transforming asset forms, liquidity, and financial system construction. The market recently surpassed $30 billion, stabilizing around $34 billion (excluding stablecoins), representing a tenfold increase in less than two years, driven by clearer regulations, mature institutional infrastructure, and increased financial institution adoption. The primary driver of recent growth is tokenized U.S. Treasury bonds. These offer investors efficient, flexible digital access to yield-bearing assets and improve institutional operations like settlement and collateral management. Other asset classes show varied growth: asset-backed credit leads, followed by niche financial assets (e.g., reinsurance, mining notes), while venture capital took longer to scale. Market segmentation shows high concentration. In commodities, tokenized gold dominates (~$5 billion), as its standardized, storable nature fits tokenization well. Bonds are the largest category ($15.2B), but only ~5% are used in DeFi protocols. Conversely, smaller niches like reinsurance tokens see high (~84%) on-chain utilization, highlighting a core industry divide: most current tokenized assets are merely digitized records for easier holding/transfer, lacking the "composability" (free combination/interaction) that is key to blockchain-native finance. The ecosystem is distributed across multiple blockchains, with Ethereum hosting over half the value ($15.7B), followed by BNB Chain, Solana, and others. Future market size predictions vary widely (e.g., $2-$30 trillion by 2030+), but all indicate massive potential from the current small base. Tokenized assets currently represent minuscule fractions of their global counterparts (e.g., 0.01% of global bonds). The current phase focuses on digitizing straightforward assets. The next challenge is to bring more complex financial components on-chain and deeply integrate tokenized assets into composable, internet-native financial infrastructure.

链捕手1h ago

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

链捕手1h ago

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

"Tokenized Assets: How Tokenization Changes the Nature of Assets" by a16z Crypto The market for tokenized assets, excluding stablecoins, has grown from under $3 billion two years ago to over $340 billion today. US Treasury bonds are the primary growth driver, allowing investors to hold yield-bearing assets digitally and enabling more efficient settlement. Other key sectors include private credit (growing fastest), commodities (dominated by gold), and niche financial assets. However, the market remains concentrated in tokenized US Treasuries and gold. A critical insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction is actively used within DeFi protocols. For instance, only about 5% of tokenized bonds and a low percentage of tokenized gold are utilized on-chain. In contrast, assets like reinsurance and private credit tokens show much higher on-chain usage rates (84% and 33%, respectively). This highlights a divide: many tokenized assets are merely digital records on a blockchain without enabling new, programmable financial applications. The Pantera Capital Token Native Index indicates over 70% of tokenized assets have minimal on-chain native functionality. Ethereum remains the dominant blockchain for tokenized assets (over $150B), but the ecosystem is diversifying across chains like BNB Chain, Solana, and Stellar, based on factors like cost and compliance. Major institutions forecast massive future growth, with predictions for the tokenized asset market ranging from $2 trillion to over $30 trillion by the early 2030s. However, compared to the global financial system (e.g., ~$140T bonds, multi-trillion dollar gold market), tokenized assets currently represent a tiny fraction (0.01% or less). The conclusion is that while tokenization has begun by digitizing and streamlining settlement for simpler assets, the next phase involves bringing more complex financial instruments on-chain and deeply integrating them into composable, internet-native financial infrastructure.

Odaily星球日报2h ago

a16z: How Tokenization is Transforming the Nature of Assets in 7 Charts

Odaily星球日报2h ago

The Revived Codex, Carrying OpenAI's Hopes for IPO

This article analyzes the intense recent development of OpenAI's Codex, positioning it as a crucial component for OpenAI's impending IPO. Over the past two months, Codex has seen a rapid series of major updates focused on integrating into real enterprise workflows. Key new features include enhanced context capture (Appshots, file previews, built-in browser), long-running task execution ("Goal Mode"), remote operation (phone control, lock-screen access), and enterprise management tools (plugin sharing, access tokens, automated risk review). These updates aim to make Codex a comprehensive AI workbench that can "see the scene, push tasks, and manage risks." The author argues that while ChatGPT proves OpenAI's massive user base and API provides foundational revenue, Codex represents OpenAI's clearest path to demonstrating tangible, high-value commercial viability. It targets developers and engineering teams—a segment already accustomed to paying for efficiency gains in costly software development cycles. This is critical because, despite higher overall revenue, OpenAI's adjusted operating margins remain deeply negative, highlighting the challenge of outrunning immense compute costs. The pressure is amplified by competitor Anthropic's success with Claude Code, which has shown that a focused approach on high-value enterprise and developer workflows can lead to a path toward profitability. Codex's aggressive evolution is thus seen as OpenAI's strategic move to capture a similar enterprise-ready, revenue-generating narrative essential for its market debut. In essence, "ChatGPT proved OpenAI has users. Codex needs to prove OpenAI is a business that can make money."

marsbit3h ago

The Revived Codex, Carrying OpenAI's Hopes for IPO

marsbit3h ago

a16z: 7 Charts to Understand How Tokenization Is Changing the Nature of Assets

a16z: 7 Charts on How Tokenization is Transforming the Nature of Assets Tokenized Assets, often referred to as "real-world assets" (RWA), are altering the form, flow, and structure of the financial system. The market recently surpassed $30 billion (excluding stablecoins), driven largely by tokenized U.S. Treasuries. These offer investors digital, yield-bearing assets with efficient settlement. Growth varies significantly by asset class. Asset-backed credit leads in speed, followed by niche financial assets, while venture capital and active strategies took longer to scale. U.S. Treasuries and commodities dominate, holding about two-thirds of the current market share. Within commodities, gold tokenization dominates entirely due to its standardization and historical appeal in crypto. The ecosystem is spread across multiple blockchains. Ethereum holds over half the market, with others like BNB Chain, Solana, and Stellar holding significant shares. However, a key insight is that most tokenized assets currently lack "composability." While the total market is large, only a small fraction (e.g., 5% of tokenized bonds) is used within DeFi protocols. Many tokens are simply digital records of off-chain assets, not natively programmable financial building blocks. In contrast, smaller categories like reinsurance tokens see very high on-chain usage. Looking ahead, forecasts for the tokenized asset market by 2030 range from $2 trillion to over $30 trillion, representing immense potential growth from today's ~$340 billion base. Yet, relative to global markets (e.g., $140T+ in bonds), tokenization's penetration remains minuscule (<0.02%). The current phase focuses on digitizing straightforward assets for efficiency. The next major challenge is bringing more complex financial instruments on-chain and integrating tokenized assets into truly composable, internet-native financial infrastructure.

marsbit3h ago

a16z: 7 Charts to Understand How Tokenization Is Changing the Nature of Assets

marsbit3h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片

Top Questions