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first_img Toto Finance plans to apply for 22 million ADA from the Cardano treasury to purchase tokenized copper

Toto Finance, a company that converts physical goods into blockchain tokens, has submitted a governance proposal to the Cardano community, seeking to withdraw 22 million ADA (approximately 5 million USD) from the Cardano treasury to establish a "Cardano Strategic Copper Reserve." Voting will close on November 15. The proposal plans to purchase and tokenize copper that meets COMEX standards, with the token CuTT representing each pound of verified physical copper.According to the proposal, about two-thirds of the budget will be used to purchase exchange-grade copper from COMEX-certified warehouses near New Orleans, while the remaining one-third will cover storage, insurance, auditing, oversight, and Toto's operational costs. If the full budget is spent and the ADA to USD price remains unchanged, copper prices would need to rise by approximately 49.4% to recover the treasury investment. The proposal assumes a purchase price of $6.73 per pound and a selling price of approximately $10.06, with plans to hold for 18 to 24 months and sell in the following year, with net profits and unused funds required to be returned to the treasury before the 36th month.Monty Metzger, founder and chairman of Toto, stated that copper has significant upside potential, with an optimistic scenario predicting an annualized increase of about 30%, approximately 69% over 24 months, which could cover the 49.4% breakeven point, but commodity prices could also decline. Toto retains its commercial rights to the CuTT business for separate financing and hopes to scale the tokenized copper asset to $5 billion. The withdrawal limit of 500 million ADA from Cardano will last until around July 2027, and as of October 16, 457.4 million ADA has been used, with this proposal consuming more than half of the remaining quota.

JPMorgan Chase: The technology sector still has a surplus of 400 billion dollars this year

J.P. Morgan's latest report states that publicly listed technology companies worldwide are expected to generate approximately $2.2 trillion in operating cash flow this year, with capital expenditures and R&D expenditures totaling about $1.8 trillion. After deductions, there remains a surplus of about $400 billion, sufficient to support current AI infrastructure investments without relying on external financing.In response to market concerns regarding the sustainability of financing models for new cloud vendors, J.P. Morgan believes that their scale is still relatively limited compared to the entire technology sector. Even if financing comes under pressure, it is unlikely to shake the overall AI investment cycle. The report estimates that new cloud vendors will have operating cash flow of about $30 billion this year, with capital expenditures and R&D expenditures around $80 billion. If there is a funding gap, more financially robust hyperscale cloud service providers can still take on the related demand.J.P. Morgan also pointed out that part of the current financing demand in the technology sector stems from large-scale stock buybacks. Companies can release funds by reducing buybacks to maintain AI investments. The overall stock position in the market has retreated from the mid-September peak, and trend-following investors' long positions in semiconductors have also been largely digested. The bank believes that the short-term downward space in the market is gradually narrowing.

first_img Pump.fun Co-founder Alon: Self-developed cross-chain bridge has been launched, purchase error rate has decreased by 92%

The co-founder and Chief Operating Officer Alon of the meme coin issuance platform Pump.fun stated that the team had previously focused on launch pads for a long time and only began supporting cross-chain exchanges about 5 months ago. After investigating the cross-chain service provider Relay used at that time, he noted that over one-ninth of cross-chain purchases on Relay encountered errors, with typical purchase landing times close to 4 seconds, and one-tenth exceeding 7 seconds. The number of tokens users received was usually less than expected. He also mentioned that the social trading application FOMO still relies on Relay.Alon stated that the self-developed cross-chain bridge Pump Bridge has been opened to all Pump.fun application users. Compared to Relay, the purchase landing speed has improved by 2 times, and the error rate has decreased by 92%, dropping from over one-ninth to less than one percent. Users can obtain more tokens on average with the same amount of funds, and currently, no additional cross-chain fees are charged. He mentioned that due to the limitations of light speed and target chain confirmation time, the theoretical fastest landing time for purchases is about 1.1 seconds, and the team is still working to reduce the remaining gap.The above comparison comes from random tests conducted in the Pump.fun mobile application from September 28 to October 7, covering Robinhood, BSC, Base, Arc, and Ink, excluding Ethereum, with a total of 416,669 transaction results recorded. Among them, 383,326 transactions recorded the time taken from click to successful prompt, and an additional 35,333 transactions of completed USDC purchases under $500 were used for comparison. Alon also stated that the platform fee rate is 0.45%, with Callout rewards of at least $300,000 daily, totaling about $20 million over two months, and the platform does not retain platform fees.

JPMorgan Chase: For the first time, includes Bitcoin in long-term return forecasts, with potential returns surpassing gold and bonds

J.P. Morgan Asset Management has first included Bitcoin in its long-term capital market expectations, forecasting an annualized return of about 10% for Bitcoin over the next decade, which is expected to outperform stocks, bonds, and gold. However, this prediction also assumes that Bitcoin's annualized volatility could reach as high as 55%, more than three times that of U.S. large-cap stocks.J.P. Morgan believes that the gradual improvement of the regulatory framework, along with the continuous enhancement of market liquidity and price discovery mechanisms, may further promote Bitcoin's recognition in traditional financial markets. Looking ahead to the next decade, technological innovations in fields such as artificial intelligence, robotics, healthcare, and space, as well as a global capital expenditure growth of approximately $15 trillion, are also expected to drive economic growth and asset returns. Analysts point out that the correlation between Bitcoin and other assets is unstable, making it currently unsuitable as a diversification asset in balanced investment portfolios; therefore, the institution has not yet included it in its main investment portfolio model. If Bitcoin's volatility continues to decline in the future and its correlation with other assets stabilizes, its portfolio allocation value is expected to increase.

JPMorgan Chase CEO: The U.S. economy is still in a "good time," but is prepared for a 40% drop in the stock market

JPMorgan Chase CEO Jamie Dimon stated in an exclusive interview with The Wall Street Journal that the current state of the U.S. economy is strong, with significant growth in corporate profits, a low unemployment rate, and overall low leverage for businesses and consumers. He described this as a good time. Dimon also pointed out that several potential risks are accumulating beneath the surface, including persistent inflation that has lasted for five years, large fiscal deficits, and geopolitical uncertainties such as overseas wars.He emphasized that predicting the specific timing and triggers of an economic downturn is extremely difficult, as the eventual recession is often caused by a combination of factors that cannot be accurately assessed at present. When discussing how banks should respond, Dimon stated that JPMorgan Chase conducts extremely in-depth analyses of various risks to ensure that the bank can withstand shocks whether interest rates rise or fall, and whether inflation or stagflation occurs, while continuing to serve clients during difficult times. He mentioned that the bank is prepared for extreme scenarios such as a 40% drop in the stock market and a two to three times widening of bond credit spreads, rather than trying to guess when these scenarios will happen. The core principle is to be well-prepared to continuously support businesses and communities in various environments.

first_img The U.S. Department of Homeland Security requires civil agencies to remove DeepSeek and prohibits new purchases

The U.S. Department of Homeland Security (DHS) instructed U.S. civil agencies on Monday to remove products from the Chinese AI company DeepSeek from government IT systems, as well as any third-party services built on that model, and to prohibit new procurements. The notice stated that using DeepSeek could lead to the transfer of sensitive data to China and could generate intelligence targeting U.S. individuals and institutions. DHS indicated that these models constitute "multiple threat vectors."The ban targets not only DeepSeek's own applications but also covers third-party services based on its development. A DHS memorandum from July was made public on Monday, which had previously requested agencies to monitor the risks related to DeepSeek in the traffic in and out of government websites. The U.S. Department of Commerce, the Navy, and the states of New York, Tennessee, and Virginia had previously restricted DeepSeek. The Federal Communications Commission (FCC) will vote on October 29 to decide whether to ban all Chinese laboratories from testing electronic products used in the U.S.DeepSeek is a startup based in Hangzhou, and its open-source model attracted widespread attention on January 27, 2025, with development costs of less than $5 million, leading to a 16% drop in Nvidia's stock price that day, evaporating about $600 billion in market value. In April 2025, the U.S. House of Representatives' Special Committee on China Issues stated that DeepSeek might secretly send U.S. user data to the Chinese government and may have used about 60,000 Nvidia chips, of which 20,000 were subject to U.S. export controls. The V4-Pro model preview released by DeepSeek in April this year was priced about 98% lower than OpenAI's GPT-5.5 Pro and was made available for free download and modification under the MIT license; this week it also released an updated version of the V4.1-Flash model focused on efficiency optimization.
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