On July 27, 2026, Changxin Technology's debut on the Chinese stock market was directly turned into a global pricing event concerning "computing power and storage": the stock price soared about 489%–499% on the first trading day, reaching around 51 yuan at one point, with a single-day transaction amount exceeding 130 billion yuan and a turnover rate of about 61.5%, instantaneously pushing the market value to approximately 3.41 trillion yuan, becoming a banner of the storage track in the eyes of finance. This was not an isolated surge in an industrial stock but a resonance of the cyclical imbalance in global DRAM and enterprise SSD supply and demand—Apacer Technology has clearly anticipated that this round of imbalance will last at least until the first half of next year, with research backgrounds even extending the state of tension into the first half of 2027; on the same night, American stock market storage concept stocks collectively strengthened, with SK Hynix rising nearly 6%, Micron and SanDisk increasing over 4%, providing a unified pricing signal from Beijing to New York: the storage boom driven by computing-intensive industries is rapidly being financialized by capital. In such an environment, "Tech Growth + Computing Power Assets" have been repriced, raising the risk factors of high beta tech stocks and the semiconductor sector, while multi-asset quantization and macro funds view BTC as a financial expression of computing power and energy and ETH as infrastructure and protocol layer assets, packaging them together with storage and semiconductor targets in the same tech cycle trade, thus directly boosting the overall risk appetite of the crypto market through the collective warming of tech and computing power assets.
Changxin Technology's Surge and China's Tech Gamble
On July 27, 2026, Changxin Technology was pushed to a benchmark position of "new computing power assets" on its first trading day in the Chinese stock market: at one point, the stock price approached 51 yuan, skyrocketing about 489%–499% from the issue price, with a transaction amount exceeding 130 billion yuan, and a turnover rate of about 61.5%; the closing market value that day was around 3.41 trillion yuan, directly jumping to be a super weight in the storage track. A daily transaction of over 100 billion combined with a turnover rate of over 60% is essentially a gamble on the market story of "storage + computing power"—retail investors engage in short-term speculation while institutions scramble for chips, reflecting a collective bet on the high prosperity of DRAM and enterprise-level SSDs and a concentrated pricing of the future computing power dividends. More dramatically, Country Garden cleared its stake in Changxin Technology at cost price due to financial pressure beforehand, which was viewed by public opinion as a typical case of missing out on over 23 times return on investment; real estate assets were forced to be sold, and the new generation of storage leaders surged in the secondary market, resulting in a divergence of two valuation curves, which symbolizes the "old credit system yielding to new technological computing power."
This extreme market condition is worth the attention of the crypto market, not only because it tells a story of "real estate cutting losses, technology making fortunes," but also because it exposes the high beta preference of local Chinese capital for semiconductor and computing power-related targets: both retail and institutional investors tend to amplify leverage through financing and derivatives, concentrating on volatility in the tech growth track. Investors in the Asian time zone account for a relatively high proportion of the crypto market, and when local stock markets are ignited by storage leaders like Changxin Technology, they often transfer similar risk appetites to the blockchain, viewing BTC as a financial expression of computing power and energy, and ETH as infrastructure and protocol layer assets. Through offshore brokers, foreign exchanges, and multi-asset quantization, they engage in the same "tech beta" trade between tech stocks and BTC, ETH. The trade.xyz team previously referred to Changxin Technology's Pre-IPO pricing as "incredibly accurate," further reinforcing the narrative that "those who understand technology and computing power also understand crypto asset pricing," extending the story of China's tech gamble into the global macro trading framework, meaning that as long as the high-risk bets in the local tech sector are not suddenly interrupted by credit contraction, the combination weight and volatility premium of BTC and ETH in the tech and computing power cycles will remain at a high range.
DRAM and SSD Shortages and Computing Power Inflation
Apacer Technology's key signal is upgrading this round of storage cycle from "industry prosperity" to "computing power inflation": the supply-demand imbalance of DRAM and enterprise-level SSDs is expected to last at least until the first half of next year, with the research background also mentioning that the tension is expected to last at least until the first half of 2027. As core components of AI servers, data centers, and some mining equipment, the long-term shortage of memory and storage means that the cost curve of computing power infrastructure is shifting upwards overall—whether training large models, hosting massive data, or expanding mining farms, hardware investments and depreciation costs are being repriced; computing power is no longer a "cheap resource" that can expand infinitely and linearly but has become a scarce capacity with clear price constraints.
When hardware prices rise alongside the historical expansions of computing power and hardware cycles, macro funds will naturally translate it into new pricing narratives: if the computing power itself is "inflating," then the financial expression of computing power and energy—BTC—its production costs and supply elasticity will be reevaluated; miners' willingness to expand in the more expensive DRAM and SSD environment decreases, and the marginal growth rate of computing power slows down, making it easier for the market to accept the narrative that "each unit of computing power corresponds to more valuable BTC." Similarly, when data center and AI server prices rise, ETH as an infrastructure asset is analogized to another form of infrastructure for cloud and AI, obtaining a growth premium imagination similar to storage stocks. Thus, "computing power inflation" amplifies risk appetite on the blockchain: funds are willing to pay higher valuation multiples for computing power and infrastructure stories, incorporating BTC and ETH into tech and semiconductor combinations to seek high beta, collectively betting on a core premise—that as long as tensions in DRAM and SSD do not reverse, there is room for the premium narrative of computing power assets to continue to rise.
Samsung Considers Chinese DRAM and East Asian On-Chain Funds
When local South Korean media reported that Samsung is considering using DRAM produced in China and incorporating it into its storage supply chain strategy evaluation, the signal is no longer just about "finding an alternative supplier during shortages." Against the backdrop of China's continuous rise in storage production capacity and global industry chain re-examination of firms like Changxin Technology, leading firms such as SK Hynix, Micron, and Samsung have been forced to collectively rewrite their East Asian landscape: the storage industry chain, originally highly concentrated in Japan and South Korea, is starting to shift partially to China. This geopolitical shift directly rewrites the regional weight of East Asian semiconductor capital—while traditional leaders in the Korean and American markets are still collectively rising in the US night market, the Chinese stock market, through the soaring valuation of Changxin Technology on its first listing day, pushes the local "storage + computing power" narrative to the forefront, forcing East Asian tech funds to reallocate positions and risk exposures among Japan, South Korea, the United States, and China.
However, in the reality of local stock markets and policy constraints, such rebalancing is difficult to achieve solely through stocks. Some regional funds cannot or are unwilling to take large positions in Chinese storage assets in a single market but don’t want to miss this high prosperity cycle driven by the imbalance in DRAM and enterprise-level SSDs; thus, they may start to participate "indirectly" through cross-asset structures: multi-asset quantization and macro funds build combinations in tech growth stocks, semiconductor sectors, and BTC, ETH, treating BTC as a financial expression of computing power and energy and ETH as infrastructure and protocol layer assets, in order to obtain an alternative exposure to the "computing power industry." Investors in the Asian time zone already account for a high proportion of crypto trading, and their high-risk preferences for semiconductors and tech sectors, through the linked trades and cross-asset hedging arising from regional industry chain shifts, further amplify in the on-chain order books—when Samsung considers Chinese DRAM and the geopolitical restructuring of the East Asian storage industry, BTC and ETH are increasingly seen by more regional funds as tools to extend participation in this storage and computing power cycle, deepening their resonance with the East Asian tech capital cycle.
Strengthening U.S. Storage Stocks and BTC/ETH Linkage
While the East Asian market is still digesting the reshuffling of Changxin Technology and regional storage patterns, the U.S. night market provided a clearer answer to the same mainline: storage is the core bet of this round of global tech funding. SK Hynix rose nearly 6% during the session, while Micron and SanDisk ascended over 4%. Against the backdrop of continually rising demand for AI, data centers, and cloud computing, capital collectively lifted prices, giving a pricing indication of future profits for DRAM and enterprise-grade SSDs—this is a confirmation of the consensus that "computing-intensive industries will long keep storage companies' profits at a higher platform." For cross-market trading desks, such night market performance signifies a change in a key macro variable: global tech funding's beta is now concentrated on the "semiconductor + storage" narrative instead of being dispersed across broader growth sectors.
Historically, whenever semiconductor and high beta tech stocks in the U.S. enter a strong cycle, BTC and ETH, as part of the "liquidity and innovation factors," often exhibit directional performance consistency within weeks to months. Some institutions already view BTC as a financial expression of computing power and energy and ETH as a protocol layer infrastructure asset, categorizing them in the high beta tech group similar to Nasdaq growth stocks and the semiconductor sector within factor libraries. In recent years, a trading structure combining "tech growth + crypto assets" has formed in multi-asset quant strategies: tech stocks provide performance and industrial logic, while BTC and ETH offer a purer liquidity beta, magnifying bets on loose capital and innovation cycles through a single risk exposure group. In the current environment of collective strength in the storage sector's night market, this structure is further simplified into a "chips + crypto" combination—quantitative and macro funds tend to increase allocations to BTC and ETH simultaneously while buying SK Hynix, Micron, and SanDisk to maximize tech beta returns when the theme of computing power and data centers heats up. Going forward, whether U.S. storage and semiconductors can maintain their strength not only relates to the trajectory of traditional tech indices but also becomes a key indicator for judging whether the "chips + crypto" combination is a high-probability mainline or a brief emotional trade in the coming quarters.
The Next Stop for Storage Bubbles and On-Chain Risks
With Changxin Technology's initial surge, the simultaneous rise of U.S. storage stocks in night trading, and ongoing tensions in DRAM and enterprise SSD supply-demand as markers, this round of storage industry chain sentiment has, in fact, reshaped two macro variables: first, global tech sector risk appetite has been elevated again, allowing tech growth assets to regain "permission for higher multiples" in valuation; secondly, the real costs of computing power and data storage have risen during the high prosperity cycle, creating thicker scarcity premiums for computing resources. Following these two variables, the pathways to BTC and ETH pricing broadly encompass three main lines: the first is "tech beta," under the premise that BTC and ETH have been regarded by multi-asset funds as high beta tech assets, tech funds returning to the semiconductor and storage sectors often simultaneously raise exposure to these two on-chain assets through combination trades; the second is "computing power inflation," when DRAM and enterprise SSD prices rise in a high prosperity cycle, the monetization narrative of computing power and energy is reinforced, re-evaluating BTC as a financial vehicle for computing power and energy and ETH as protocol layer infrastructure; the third is "East Asian fund allocations," Samsung's assessment of using Chinese DRAM, combined with the restructuring of the East Asian industrial chain and capital pattern, overlaying local tech stock sentiment, making the linkage allocation between investors in the Asian time zone and high prosperity semiconductors and on-chain assets more inertial. The next steps to monitor will be whether the correlation between semiconductor indices and the returns of BTC and ETH continues to rise, whether DRAM and SSD prices maintain upward tension in the coming quarters, whether the activity of on-chain funds and combination trading in the Asian trading sessions continues to increase, and whether tokens and sectors related to AI and computing power themes can take over the storage sentiment to become new anchor points for risk preference. These indicators will determine whether this round of storage bubble ultimately leaves transient noise or becomes a new pricing factor in the on-chain risk structure.
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