On July 6, according to data from CoinGlass, Bitcoin ETFs entered the holiday weekend with a positive trend. On July 2, these ETFs recorded a net inflow of $223.5 million, marking the first such influx since June 12. CoinGlass data indicates that Bitcoin performed relatively well over the holiday weekend, peaking at nearly $64,000, but trading prices fell below $62,000 this morning. Some pressure came from Michael Saylor's Strategy Inc. selling Bitcoin, although the market did receive some advance warning. Christopher Tahir from Exness noted in a report, 'The market's reaction may be more subdued than in the past following the company's recent policy launch.'
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Bitcoin ETF Records Net Inflow for the First Time in a Month
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BTC Surpasses $63,000
Market data shows that BTC has surpassed $63,000, currently priced at $63,016.31, with a 24-hour increase of 0.46%. The market is experiencing significant volatility, so please ensure proper risk management. -
Riot Platforms Deposits 500 BTC with NYDIG, Possible Sale Ahead
According to Onchain Lens monitoring, Riot Platforms has deposited a total of 500 BTC (approximately $30.9 million) into a NYDIG custody account, suspected to be preparing for a sale. The transfer was completed in two transactions: 413.793 BTC (approximately $25.57 million) and 86.207 BTC (approximately $5.33 million). -
U.S. Treasury Yields Continue to Rise, 30-Year Yield Exceeds 5% Again
U.S. Treasury yields continue to climb, with the 30-year Treasury yield surpassing 5% once more. (Jin Shi) -
Spot Gold Falls Below $4,130
On July 6, spot gold fell below $4,130 per ounce, declining by 1.10% during the day. -
Today's Bitcoin ETF Net Inflow in the U.S. Reaches 3,774 BTC, Ethereum ETF Net Inflow at 498 ETH
According to monitoring by Lookonchain, today's net inflow for Bitcoin ETFs in the U.S. is 3,774 BTC, with a net outflow of 10,837 BTC over the past seven days; the net inflow for Ethereum ETFs is 498 ETH, with a net inflow of 15,393 ETH over the past seven days. -
Goldman Sachs: Global Humanoid Robot Market to Grow from 20,000 Units in 2025 to 1.4 Million by 2035
On July 6, Goldman Sachs stated that another pathway for AI entering the real world is through robots, autonomous devices, drones, and smart industrial equipment. Goldman Sachs refers to this as 'physical AI,' which presents challenges far greater than those of text generation models, as machines must not only understand language and images but also handle gravity, friction, materials, temperature, motion trajectories, and safety constraints. Humanoid robots are the most closely watched segment of the market. Goldman Sachs predicts that the global humanoid robot market will grow from approximately 20,000 units in 2025 to 1.4 million by 2035. The demand is driven by labor shortages: the U.S. manufacturing sector has about 13 million workers, with a gap of over 1 million positions in material handling. Goldman Sachs expects widespread commercial deployment of humanoid robots to occur between 2027 and 2029. -
President Trump: I Am a Big Fan of Cryptocurrency
On July 6, President Trump stated: I am a big fan of cryptocurrency. -
President Trump: Trump's Account May Contain Bitcoin
According to Reuters, President Trump stated that it is possible for Trump's account to contain Bitcoin when asked about it. -
Trump Family-Linked Entity Acquires 500 BTC
The Bitcoin mining company American Bitcoin, supported by the Trump family, has increased its holdings by 500 BTC, bringing its total Bitcoin holdings to 8,000 BTC. -
Goldman Sachs: AI Investment Focus Shifts to Real Economy, Capital Expenditure May Reach $7.6 Trillion in Next 6 Years
On July 6, Goldman Sachs stated in its latest report that the focus of artificial intelligence (AI) investment has begun to extend into the broader real economy. As computing power, electricity, and data centers continue to be rapidly developed, AI has simultaneously entered practical scenarios in manufacturing, energy, logistics, defense, life sciences, and robotics. From 2026 to 2031, global AI capital expenditure related to computing, data centers, and electricity is expected to reach approximately $7.6 trillion, with annual investments increasing from $765 billion in 2026 to $1.64 trillion in 2031. Investments in AI by hyperscale cloud providers may exceed $6 trillion by 2030. The key to future competition will not only be models or chips, but also capital structure, energy supply, industrial data, engineering capabilities, and deployment capabilities.
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