Cycle Capital:一周链上数据跟踪(20240729)

Odaily星球日报Published on 2024-07-30Last updated on 2024-07-30

Abstract

恐慌和贪婪指数现为74,处于贪婪的位置,市场投资情绪较高,6月下跌中,恐慌和贪婪指数出现较大幅度的下跌,7月初跌至30以下,是过于一年中最低的数值,之后出现了显著反弹。

Cycle Capital:一周链上数据跟踪(20240729)

恐慌和贪婪指数

恐慌和贪婪指数现为 74 ,处于贪婪的位置,市场投资情绪较高。6 月下跌中,恐慌和贪婪指数出现较大幅度的下跌, 7 月初跌至 30 以下,是过于一年中最低的数值,之后出现了显著反弹。

Cycle Capital:一周链上数据跟踪(20240729)

CME BTC 合约持仓

CME 持仓自 7 月 5 日以来出现连续增长,至 7 月 23 日开始有减仓, 7 月 28 日特朗普在比特币大会讲话后仓位又有所增长。

对应的逻辑变化是, 7 月 5 日之后资金看多市场, 7 月 23 日临近压力位以及比特币大会,部分卖事实资金减仓。特朗普讲话后,BTC 出现下跌,但快速反弹拉回,表明卖事实的资金引起的下跌有限,因此又有一部分资金看多后市,重新进场。

Cycle Capital:一周链上数据跟踪(20240729)

CME BTC Leveraged Funds Short Position

杠杆基金空头在上周(2024/07/16 – 2024/07/23)增加了 103 张, 515 个 BTC,通常这个指标在向上时也意味着套利资金的现货端也在加仓,而指标下降到达拐点指示空头平仓后会有上涨行情。

Cycle Capital:一周链上数据跟踪(20240729)

Bitfinex BTC Margin Long Position

Bitfinex 多头持仓在 3 月 16 日平仓到达低点后(对应行情到达高位),随后开始继续累积多头头寸,到目前为止持仓仍在高位,但不再增长。

Cycle Capital:一周链上数据跟踪(20240729)

稳定币供应振荡器(SSRO)

SSRO 在 7 月 9 日触底时已经低于去年 8 – 9 月的低点,表明场内资金的参与热度在急速下降。但这也形成拐点,从低点反弹。这个位置相对的低位对于山寨来说是比较好的反弹条件。

Cycle Capital:一周链上数据跟踪(20240729)

BTC 长短期持有者占比变化

蓝色部分为 BTC 长期持有者持币占比变化。按照此前 2017 年和 2021 年的两轮牛市,会出现两次 BTC 长期持有者持币占比的降低,第二次降低的幅度要大于第一次。

2023 年 12 月至 2024 年 4 月,在 BTC 主升浪的期间,BTC 长期持有者在持续卖出。4 月以来,BTC 进入宽幅震荡区间,长期持有者停止了卖出的行为,倾向于继续持有 BTC。

Cycle Capital:一周链上数据跟踪(20240729)

BTC 长期持币者未实现净损益

在 2017 年、 2021 年两轮周期中,BTC 长期持币者未实现净损益都进入了蓝色区域,超过了 0.75 。本轮行情以来,该指标尚未进入蓝色区域,目前仍在绿色区域运行。认为后续该指标应进入蓝色区域后运行一段时间,形成本轮行情的顶部。

Cycle Capital:一周链上数据跟踪(20240729)

BTC 短期持币者未实现净损益

在牛市中,BTC 短期持币者未实现净损益接近 0 或者 0 以下时,会形成相对的阶段性底部。在 2023 年出现过 2 次低于 0 的情况,在 2024 年也出现了 2 次。2024 年 6 月底至 7 月初,短期持币者未实现净损益位于 0 以下, 7 月 15 日恢复到 0 以上,参考 2023 年 9 月走势,后续可能形成主升。

Cycle Capital:一周链上数据跟踪(20240729)

Related Reads

STRC 跌破面值,比特币财库实验进入下半场

The price of STRC, Strategy's dividend-paying preferred stock, has fallen below its $100 face value, triggering a re-evaluation of the "bitcoin treasury" corporate model. This highlights a critical tension: the company's asset base consists of high-volatility, non-cash-flow-generating Bitcoin, while its capital structure requires continuous cash payouts for dividends and interest. The decline of STRC signals that market pressure is shifting from asset price volatility to the pricing of the company's financing tools. Strategy's core model involves a three-step conversion: turning equity into Bitcoin exposure, converting Bitcoin holdings into capital market credit, and packaging non-yielding BTC into cash-paying securities like STRC. While Strategy holds a massive 847,363 BTC, the focus is now on cash flow mismatches. The company faces annual preferred stock dividend obligations of approximately $1.7 billion, far exceeding the cash flow from its legacy software business. Its ability to meet these obligations relies on continued access to capital markets. The market is now scrutinizing which of three potential costs becomes untenable first: rising dividend costs to attract investors, dilution costs from issuing more common stock, or the reputational cost of selling BTC—a move contrary to its "hodl" narrative. For the broader crypto market, a constrained Strategy means the potential loss of a predictable, narrative-driven marginal buyer for Bitcoin. The STRC discount serves as a reminder that the longevity of such models depends not just on Bitcoin's price, but also on financing windows, cash reserves, and investor willingness to pay a "trust premium" for the structure.

marsbit31m ago

STRC 跌破面值,比特币财库实验进入下半场

marsbit31m ago

Standard Chartered Bank’s 50-Fold Fantasy: Predicting AAVE to Reach $3,500

Standard Chartered Bank has issued an optimistic research report predicting that the AAVE token could surge 50-fold to $3,500 by 2030. This forecast is based on the projection that the total value locked (TVL) in DeFi will grow 37x to approximately $2.7 trillion, driven by stablecoin expansion and the tokenization of real-world assets (RWA). The bank's model links Aave's potential valuation directly to its protocol revenue, which is primarily driven by net interest margins. The report highlights Aave's current dominant position, noting it captures over 80% of the net earnings ("protocol retained earnings") in the lending sector while holding only about half of its TVL. It also points to the recent launch of the Aave V4 architecture and a healthy revenue stream of $142 million in 2025 as positive fundamentals. Grayscale's separate analysis, applying traditional valuation metrics like DCF, concluded AAVE is currently undervalued. However, the article notes significant challenges. Aave's peer-to-pool lending model suffers from inherent capital inefficiency, with an estimated $52 million annual "deadweight loss" due to idle funds needed for liquidity buffers. This structural flaw was exposed during the April KelpDAO exploit, which locked a WETH pool at 100% utilization for days. Emerging protocols like Morpho, with more efficient point-to-point models, are cited as growing competitive threats. In summary, while institutional forecasts paint a macro picture of massive growth fueled by RWA adoption, Aave's path forward hinges on addressing its core structural limitations and competitive pressures within the evolving DeFi lending landscape.

链捕手1h ago

Standard Chartered Bank’s 50-Fold Fantasy: Predicting AAVE to Reach $3,500

链捕手1h ago

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

Tidal Investment remains optimistic about the AI industry chain, but the rationale has shifted. The market narrative has changed. While recent large-scale IPOs (e.g., SpaceX) and major fundraising plans by tech giants like Alphabet and Meta have caused some nervousness, this isn't a sign of an AI peak. The focus has moved from the initial question of AI's viability to the sustainability of massive investment cycles. The key players—primarily the major cloud providers—are not slowing down; their capital expenditure (Capex) guidance for 2026 has been increased across the board (e.g., Alphabet to $180B, Amazon to $200B). This investment cycle is proving resilient and difficult to stop. Unlike traditional hardware cycles, current AI Capex is distributed across multiple physical layers—computing, memory, networking, and critically, power infrastructure. Bottlenecks are shifting from chips to elements like electricity, transformers, and cooling systems, which have much longer lead times and cannot be easily pre-built like fiber optics during the dot-com bubble. Supply chain data (e.g., Eaton's 240% YoY data center orders) confirms this broad-based, project-driven expansion. Market concerns are acknowledged but viewed differently. First, while Capex growth currently outpaces revenue growth, raising ROI questions, this mirrors the early scaling phase of cloud computing itself. A change in view would require concrete signals like downward Capex revisions or missed AI product targets, which haven't materialized by mid-2026. Second, comparisons to the 2000 dot-com bust are flawed. That crash was driven by a massive, parallel oversupply of cheap capacity (fiber). The current cycle faces *supply constraints* in critical, capital-intensive physical infrastructure that cannot be overbuilt as easily. In conclusion, the wave of fundraising reflects the next, more complex act of the AI story. Physical bottlenecks and sustained high Capex plans suggest this is not the finale but an ongoing, capital-intensive build-out phase. The script has changed, but the play is far from over.

marsbit2h ago

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

marsbit2h ago

Trading

Spot
Futures
活动图片