12张图解读1月加密市场:多项链上指标持续增长

Odaily星球日报Publicado a 2024-02-02Actualizado a 2024-02-02

Resumen

在刚刚过去的2024年1月,绝大多数加密行业指标都继续表现出强劲增长的趋势

原文作者:The Block 研究主管 Lars

原文编译:Jordan,PANews

得益于美国现货比特币 ETF 获得批准上市的影响,在刚刚过去的 2024 年 1 月,绝大多数加密行业指标都继续表现出强劲增长的趋势,本文将用 12 张图解读过去一个月的加密市场状况。

1、 1 月,总计有 11 只现货比特币 ETF 获得美国证券交易委员会批准上市,这一消息也推动比特币和以太坊调整后链上总交易额整体上涨了 8.8% ,达到 3570 亿美元,其中比特币调整后链上交易额涨幅为 10.6% ,以太坊链上交易额涨幅为 6% 。

12张图解读1月加密市场:多项链上指标持续增长

2、 1 月调整后的稳定币链上交易额继续保持了上涨态势,升至 7426 亿美元,涨幅达到 22.2% ;已发行稳定币供应规模同样有所增加,涨幅为 4.1% 达到 1258 亿美元,其中美元稳定币 USDT 市场份额占比为 77% (已连续五个月上涨),而 USDC 的市场份额小幅上涨至 18.6% 。

12张图解读1月加密市场:多项链上指标持续增长

3、比特币矿工收入在 1 月份出现变化,下降至 13.5 亿美元,跌幅为 13.6% 。此外以太坊质押收入虽继续保持增长,但涨幅不大,约为 1.4% ,升至 187 万美元。

12张图解读1月加密市场:多项链上指标持续增长

4、 1 月以太坊网络共销毁了 75, 037 枚 ETH,价值相当于 1.8 亿美元。数据显示,自 2021 年 8 月上旬实施 EIP-1559 以来,以太坊总计销毁了约 397 万枚 ETH,价值约合 109.8 亿美元。

12张图解读1月加密市场:多项链上指标持续增长

5、 1 月以太坊链上 NFT 市场交易额上涨了 6.2% ,达到约 8.288 亿美元。

12张图解读1月加密市场:多项链上指标持续增长

6、合规中心化交易所(CEX)的现货交易额在 1 月份继续表现上涨态势,涨幅约 4.9% ,升到 6281 亿美元。

12张图解读1月加密市场:多项链上指标持续增长

7、 1 月各大加密货币交易所的现货市场份额排名如下:币安为 71% (较 12 月有所下降)、Coinbase 为 12.1% 、Kraken 为 4.9% 、LMAX Digital 为 3.7% 。

12张图解读1月加密市场:多项链上指标持续增长

8、灰度的比特币信托基金 GBTC 的日均交易额在 1 月份上涨幅度较大,达到了 302.7% ,升至 7.84 亿美元,这种情况是由于该基金已成功转换为现货比特币 ETF 导致。

12张图解读1月加密市场:多项链上指标持续增长

9、在加密期货方面, 1 月比特币期货未平仓量下降了 5.9% ,以太坊期货未平仓量下降 1.5% ;在期货交易额方面,比特币期货 1 月交易额增长 14.1% ,升至 1.1 万亿美元。

12张图解读1月加密市场:多项链上指标持续增长

10、 1 月芝商所比特币期货未平仓量增长了 3.1% ,升至 50 亿美元,日均成交金额(daily avg volume)增幅达到 29.2% ,升至约 34.4 亿美元。

12张图解读1月加密市场:多项链上指标持续增长

11、 1 月以太坊期货月均交易额上涨至 5110 亿美元,增长幅度为 0.9% 。

12张图解读1月加密市场:多项链上指标持续增长

12、在加密货币期权方面, 1 月比特币持仓量出现下跌,跌幅为 6.4% ;而以太坊持仓量则上涨了 6.5% 。另外在比特币和以太坊期权交易额方面,比特币期权交易额在 1 月份上涨了 5.2% ,升至 399 亿美元,续创历史新高;以太坊期权交易额上涨 17.3% ,增至 179 亿美元,同样达到历史新高。

12张图解读1月加密市场:多项链上指标持续增长

Lecturas Relacionadas

Optical Chips: Collective Capacity Expansion

The global optical chip industry is experiencing a massive wave of expansion driven by surging AI data center demand. Major players across the US, Japan, Europe, and China are aggressively investing to ramp up production capacity. In the US, Coherent is expanding its 6-inch Indium Phosphide (InP) semiconductor fab in Texas, supported by CHIPS Act funding and a $2 billion strategic investment from NVIDIA. Lumentum is building a new factory for InP optical devices, and Nokia is scaling its advanced photonic chip packaging and testing capabilities. NVIDIA's investments aim to secure future supply of critical lasers and optical interconnect products for AI infrastructure. Japan's JX Advanced Metals, a leading InP substrate supplier, plans a multi-billion yen investment to increase its capacity 7-10 times, strengthening its grip on the crucial upstream materials market. In Europe, IQE and Tower Semiconductor settled a patent dispute and signed a multi-year InP epitaxial wafer supply agreement, highlighting that next-generation silicon photonics platforms will integrate high-performance InP components. STMicroelectronics and Sivers Semiconductors are also expanding silicon photonics production and partnerships. China is rapidly building out its domestic supply chain. Dongshan Precision's subsidiary, Source Photonics, announced a $12 billion project to expand optical chip and module production. Companies like Sanan Optoelectronics and Yunnan Germanium are scaling up InP chip manufacturing and substrate production, moving towards vertical integration from materials to modules. While debate continues around the exact future architecture—whether CPO (Co-Packaged Optics), NPO, or pluggables will dominate—analysts like Morgan Stanley argue the underlying driver is unchangeable: the explosive growth in bandwidth demand. This will inevitably increase the volume of optical engines, lasers, and related content per GPU, regardless of the final technical path. The competition for "more light" in the AI era has intensified into a global, full-chain capacity race.

marsbitHace 32 min(s)

Optical Chips: Collective Capacity Expansion

marsbitHace 32 min(s)

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手Hace 1 hora(s)

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手Hace 1 hora(s)

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbitHace 2 hora(s)

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbitHace 2 hora(s)

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbitHace 4 hora(s)

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbitHace 4 hora(s)

Trading

Spot
Futuros
活动图片