BTC $62,784.79 -0.90%
ETH $1,873.32 -0.74%
BNB $605.29 -0.60%
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SUI $0.6758 -1.50%
XLM $0.1588 -0.64%
ZEC $487.19 +0.50%
BTC $62,784.79 -0.90%
ETH $1,873.32 -0.74%
BNB $605.29 -0.60%
XRP $0.9986 -0.87%
SOL $74.70 -1.74%
TRX $0.3325 -0.25%
DOGE $0.0695 -0.71%
ADA $0.1787 -1.44%
BCH $201.88 -1.89%
LINK $8.94 +1.44%
HYPE $55.44 -3.92%
AAVE $85.80 -2.25%
SUI $0.6758 -1.50%
XLM $0.1588 -0.64%
ZEC $487.19 +0.50%

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Data: The high-position chips of BTC in 2025 have decreased by 41.5%, and the market's maximum supply pressure may be easing

On-chain analyst Murphy stated that currently, all chips bought in BTC in 2025 are basically in a state of loss. Therefore, apart from wallet migrations, the reduction in the scale of 2025 chips likely means that holders are cutting losses and selling. Data shows that as of now, approximately 4.77 million BTC chips bought in 2025 remain, a decrease of 41.5% from the peak in December last year.From the downward trend, this group has experienced two phases: a rapid decrease in chips before February this year, and a significant slowdown in the rate of decline after February, although it still maintains a certain slope. Murphy believes that the 2025 chips may be the largest potential supply side in the current market scale. In contrast, the BTC chips formed in 2024, 2023, and 2022 have basically completed the release of high-level locked positions due to still having unrealized gains, and the slope of the curve is gradually flattening, indicating that the selling pressure from long-term holders is weakening.Historical data shows that during the bottom phases of the past two bear markets, high-level chips have shown a significant decline: at the bottom of the bear market in 2022, the chips bought at high levels in 2021 decreased by about 51%; at the bottom of the bear market in 2018, the chips bought at high levels in 2017 decreased by about 62%. If we refer to historical cycles, Murphy believes that in this bear market bottom phase, the reduction of high-level chips in 2025 may be in the range of 50%-60%, and the current decline of 41.5% indicates that there is still some room for release. However, this judgment has not yet considered the BTC bought by institutional investors such as spot ETFs and MicroStrategy, as this portion of chips is mostly in a long-term locked state, which may reduce the actual market supply pressure.

hot_img NVIDIA's Feynman platform is expected to go into mass production in 2028, with TSMC's A16 and SoIC expanding production simultaneously

According to DIGITIMES, NVIDIA's next-generation AI platform Feynman aims for mass production in the second half of 2028, utilizing TSMC's A16 process and incorporating SoIC 3D stacking and CPO technology. The Rubin generation focuses on integrating multiple small chips with HBM, while Feynman further develops towards 3D small chips, SoIC, and CPO. The report indicates that TSMC is accelerating the construction of related production capacity, with the original plan for SoIC monthly capacity to reach 20,000 pieces by the end of 2026, now updated to a target of 50,000 pieces by the end of 2027.The construction progress of TSMC's Chiayi AP7 and Tainan AP8 is also accelerating, with AP7 planned in 8 phases. P1 and P2 have entered installation, P3 and P4 have obtained construction permits, and P5 to P8 are still in planning. In addition to mass-producing Apple-specific WMCM, the factory will configure SoIC, CoPoS, and CPO production lines according to customer demand. NVIDIA has rapidly shifted its R&D and supply chain resources to the Feynman platform, and the spillover effect of TSMC's advanced packaging orders continues to expand, with Siliconware becoming the main testing and packaging factory for NVIDIA's CoWoS and CPO orders. The NVLink interconnect bandwidth of NVIDIA's Feynman platform is expected to exceed 1 PB/s, further improving from Rubin Ultra's 520 TB/s. TSMC's COUPE technology integrates EIC and PIC in 3D through SoIC to form a light engine, advancing optoelectronic conversion from traditional circuit boards to the internal packaging structure. Since 2026, NVIDIA has invested over $40 billion in building the AI ecosystem, covering areas such as models, wafer manufacturing, data centers, and optical communications.
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