JamesL0111

Over the past week, the number of new BTC wallets on the network reached 2.27 million, the highest level in nearly a year; the number of active wallets reached 751k, setting a new record in 10 months. However, a key catalyst behind the growth in on-chain activity was security concerns triggered by the Coldcard wallet incident. The incident prompted some users to transfer funds, create new wallets, adjust custody arrangements, and reassess asset security risks, thereby driving a significant increase in wallet creation and on-chain interactions.

After the sharp volatility and rapid pullback in the U.S. stock market at the end of July, funds flowed back into risk assets, and U.S. stocks quickly began to rebound. The S&P 500 and Dow Jones indexes both recovered most of their previous losses and hit record highs this week. Technology stocks became the core driver of this rebound, with semiconductor and AI-related sectors surging across the board and significantly boosting market sentiment.
At the same time, the precious metals sector once again attracted investor interest. Spot gold has risen for several consecutive days, at one point br

From Q4 2025 to Q2 2026, the actual hashrate of publicly listed Bitcoin mining companies fell 13.4%, a larger decline than that of the entire network. In Q2, Core Scientific and TeraWulf’s non-mining revenue surpassed their mining revenue, while AI data centers and HPC high-performance computing are reshaping Bitcoin mining’s economic model.

Although Metaplanet denied selling this time, the large-scale on-chain transfer still signals that institutional custody operations are becoming more active in the crypto market. As more listed companies adopt Bitcoin as part of their asset allocation, fund flows from custody addresses will become a new market indicator to watch.
Going forward, keep an eye on:
Whether Metaplanet plans to further increase its holdings to reach a target of 50k BTC or more
Whether MicroStrategy’s selling pace accelerates, affecting the overall Bitcoin supply
Whether other corporate treasury companies (such as Kee

The “Selling Season” for Corporate Reserves? MicroStrategy Strikes First
Unlike Metaplanet, industry leader Strategy (formerly MicroStrategy) has indeed been selling BTC recently. To pay preferred stock dividends, repurchase STRC preferred stock, and replenish its U.S. dollar reserves, Strategy has sold thousands of bitcoins.
This has prompted the market to ask: Are corporate Bitcoin reserves entering a new phase of “accumulating while selling”?

Such large-scale transfers are common on-chain, as custodians typically adjust fund distributions regularly, change cold wallet addresses, or prepare for upcoming asset allocation operations. Metaplanet also moved 3,881 BTC to a cold wallet in early August, and likewise did not reduce its holdings at the time.

Key figures of this transfer:
Transfer amount: 5,014 BTC (approximately $320 million)
Source: Metaplanet custody wallet
Destination: Another Metaplanet custody address
Transfer time: August 13 (Wednesday), within 24 hours
Remaining holdings: Approximately 37,986 BTC (excluding the transferred amount; total holdings remain unchanged at 43k BTC)

Japan-based Bitcoin reserve company Metaplanet saw a large-scale on-chain transfer on August 13, with 5,014 BTC moved out of custody addresses, sparking speculation of a sale. CEO Simon Gerovich clarified in a post on X that this was a routine scheduled operation between custody addresses, and the company’s total holdings remain 43k BTC.
Gerovich stated:
“Over the past 24 hours, we transferred 5,014 BTC between Metaplanet’s custody addresses as part of routine custody operations. No Bitcoin was sold, and our holdings remain at 43k BTC.”

As demand for generative AI explodes, computing costs have become the heaviest burden for cloud service providers (CSPs). To ease the financial pressure brought by hardware investment and power consumption, major players such as Microsoft, Google, and AWS are accelerating adjustments to their pricing models, shifting from the single subscription model of the past toward more refined “pay-as-you-go” and “tiered pricing.” The recent emergence of multiple low-cost, lightweight models is a concrete effort by providers to optimize gross margins by reducing inference costs while maintaining high-per

As demand for generative AI explodes, computing power is transforming from a simple cloud resource into a “digital commodity” with financial attributes, completely reshaping the financial boundaries of the technology industry. Cloud giants such as Microsoft, Google, and AWS are currently accelerating the shift in their pricing models from traditional fixed subscriptions to more flexible “pay-as-you-go” and “computing power futures” mechanisms, allowing enterprises to lock in future capacity in advance to hedge against hardware depreciation risks. This shift toward “computing power as revenue”

Goldman Sachs CEO David Solomon said the world is at a critical juncture in a historic AI investment cycle, and Goldman Sachs is very eager to create a credit market backed by NVIDIA computing power. Blackstone President Jon Gray also noted that AI computing power will eventually be viewed as a financeable asset class, much like residential mortgages.

NVIDIA founder and CEO Jensen Huang said in an interview with CNBC that this is the first time technology chips have become an “investable asset class.” Huang emphasized that NVIDIA’s hardware is now a productive, durable, fungible, and flexible revenue-generating asset. Because NVIDIA hardware has been widely adopted and can be flexibly transferred among different customers, lenders can reliably underwrite computing power as an asset with long-term value.
Huang also stressed that we must now view computers (computing power) as part of the infrastructure, just as we view electricity or the int

According to a CNBC report, this partnership represents a major shift in the sources of funding for AI infrastructure. Traditionally, GPUs have been viewed as hardware that depreciates extremely quickly. However, the new agreement will bring in institutional credit, insurance capital, and private equity to underwrite GPU and data center construction, allowing customers to obtain funding for hardware procurement and construction without consuming their own balance sheets.
The launch of this financing program comes amid concerns over the massive AI capital expenditures of tech giants. In particu

Semiconductor chip giant Nvidia has signed a memorandum of understanding (MOU) with six major Wall Street asset managers, including Apollo Global Management, Blackstone, BlackRock, Brookfield Asset Management, Goldman Sachs, and KKR, to jointly establish a new financing platform. Through this platform, they hope to attract more than $500 billion in third-party capital to support hyperscalers and establish advanced AI laboratories and enterprise data centers to purchase Nvidia’s hardware.

People with higher manifestation scores considered themselves more successful, had stronger ambitions for success, and believed they were more likely to succeed in the future. But in the first study, this group was no better off than others in terms of income or educational attainment.
The researchers put it plainly in their conclusion: Manifestation beliefs appear to boost self-perception, but there is almost no evidence that they affect objective levels of success.
The third study also tested one more thing. The researchers asked respondents to estimate how long it would take them to achieve

The same study also tested several psychological variables. The correlation between the manifestation scale and “intuitive decision-making style” was 0.36, indicating a large association, while the correlation with “core self-evaluation” was 0.25. On the other hand, the correlation with “rational decision-making style” was 0.02, and with “the ability to delay gratification” was -0.04; both indicated no association.
A person’s belief that they can think success into existence strongly overlaps with their tendency to make decisions based on intuition. It has no relationship whatsoever with wheth

Stocks served as the control group in this study. The researchers deliberately asked two questions: “Do you currently hold any cryptocurrency?” and “Besides retirement accounts, have you ever personally bought stocks?”
The answers diverged: the cryptocurrency question showed a significant association, while the stock question did not.
The difference was not whether they wanted to invest, but volatility. The study defined cryptocurrency as a high-volatility financial investment, while stocks were the conventional option used for comparison. The same people were not simply more interested in inv

The result was that for every one-unit increase in the scale score, the rate of respondents holding cryptocurrency became 1.33 times higher. The rate of having given personal information or money to a scam in the past five years became 1.28 times higher. The rate of having ever gone bankrupt became 1.42 times higher.
The likelihood that these “people who believe more strongly in manifestation” held traditional stocks did not change significantly.
This needs to be clarified first: 1.33 times means that the rate became 1.33 times as high, or 33% higher—not 133% higher. In addition, this figure c

Three researchers gave 1,023 people a questionnaire with 11 questions. One asked, “Just thinking about success makes success more likely to happen,” while another asked, “I ask the universe or a higher power to bring about success.” Respondents rated themselves from 1 to 7.
More than one-third of the people agreed with these statements to some extent.
The researchers then compared these scores with their financial records.
Three Numbers
The questionnaire is called the Manifestation Scale. The researchers were Lucas J. Dixon, Matthew J. Hornsey, and Nicole Hartley, and the paper was titled “The

Three researchers at the University of Queensland developed a “manifestation scale” based on 1,023 people, finding that for each one-unit increase in the scale score, respondents were 1.33 times as likely to hold cryptocurrency, 1.28 times as likely to have been scammed within the past five years, and 1.42 times as likely to have gone bankrupt, while the rate of holding traditional stocks showed no significant change. However, the researchers emphasized that these associations were very weak and difficult for individuals to detect by recalling their own life experiences.