Analysis: Non-farm payroll data weakened but still showed growth; the Fed's decision to hold rates steady was reassessed.
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The protagonist of ByteDance's stock trading success story: CPI, non-farm payroll data, etc., are not just market noise; he previously suffered a significant drawdown in his Nvidia investment due to ignoring the interest rate hike environment.
According to BlockBeats, on July 5th, Leto Bao, the protagonist of the "ByteDance stock trading 30 million yuan" story, reviewed his journey to a 30 million yuan fortune in the US stock market on Binance Square. He stated that CPI, non-farm payrolls, and Federal Reserve policies are all macroeconomic factors, while earnings season reflects the performance of specific companies or industries, and also reflects changes in the macroeconomy. Leto Bao stated that the CPI (Consumer Price Index) is one of the key indicators monitored by the Federal Reserve. A high CPI usually indicates greater inflationary pressure; a low CPI may reflect deflationary pressure. The Federal Reserve's long-term goal is to maintain inflation at around 2%, which represents a moderate inflationary environment, meaning a slow depreciation of the currency, while investment, consumption, and credit activities are relatively healthy. Non-farm payroll data also influences market judgment. There is a certain correlation between overheated employment and inflation, but the relationship between macroeconomic indicators is complex and not a simple linear deduction. The Federal Reserve is responsible for formulating economic policies related to interest rates and serving the US economy through policy adjustments. Leto Bao believes that CPI, non-farm payrolls, Federal Reserve policies, and earnings season should not be simply dismissed as "noise," but all have some reference value. He mentioned that when he previously invested in Nvidia, he ignored the broader interest rate environment, leading to a significant drawdown in his account. Therefore, macroeconomic factors still need to be incorporated into investment decisions. Leto Bao is a former employee of ByteDance, known as the "ByteDance Stock Investor." He reportedly made substantial profits (around 30 million RMB) by investing in the AI storage sector in the US stock market and subsequently resigned. The story began when he noticed an abnormal price increase when buying hard drives on Pinduoduo, which prompted him to research data storage needs and heavily invest in related stocks.
Surprise nonfarm payrolls print sends Bitcoin back below 80K
The US economy added far more jobs than expected in August, pressuring Bitcoin lower as traders repriced the odds of a Federal Reserve rate cut this month.
Analysis: The AI investment boom is cooling down, and the market is reassessing the sustainability of chip and data center spending.
According to Odaily Odaily, the AI infrastructure investment boom is cooling down, and the market is beginning to reassess the sustainability of chip and data center spending. As investors re-examine whether AI infrastructure investment can be sustained, "AI deals" covering the semiconductor, memory chip, and data center industry chain are showing signs of cooling. Recently, AI-related chip stocks such as Micron Technology (MU) and SanDisk (SNDK) have been under pressure. Samsung Electronics previously reported record second-quarter results, but revenue fell short of market expectations, causing its stock price to drop nearly 7%, dragging down the entire AI chip sector. Market concerns are growing that the current AI boom, driven by GPUs, high-bandwidth memory (HBM), and data center construction, may face repricing as cloud computing giants (Hyperscalers) may slow their investments in AI infrastructure. Meanwhile, South Korean memory chip giant SK Hynix's stock price has fallen about 25% from its all-time high ahead of its US IPO, which is also attracting some funds away from existing chip stocks. Analysts point out that after SpaceX's massive IPO boosted valuations of AI-related assets, investors are reassessing the growth logic for the next phase of the AI market. If the AI investment fervor cools further, some funds may flow back from the AI industry chain to other risky assets, including crypto assets. (CoinDesk)
Nansen integrates with Hyperliquid perpetual contract trading, supporting smart money and on-chain data analytics.
BlockBeats reported on July 7th that blockchain data analytics platform Nansen has officially launched its Hyperliquid Perp (perpetual contract trading) feature, making it available to all web and mobile users. Users can track Smart Money, whale addresses, and the on-chain activities of well-known investors while directly trading Hyperliquid perpetual contracts within Nansen. They can also view key data in real-time, such as funding rates, long/short positions, and wallet-level position distribution, achieving a seamless "research-as-trade" experience. Nansen stated that the platform has simultaneously launched the Hyperliquid Perps Leaderboard, which supports filtering by Smart Money, whale, and top traders, and can be sorted based on performance over the past 7 days, 30 days, or historical cumulative performance, helping users quickly discover leading wallet addresses. In addition, users can deposit funds from external wallets within the app, or cross-chain from connected Solana and Base wallets to Hyperliquid, and can also directly receive asset transfers from other Hyperliquid addresses. In addition to trading functionality, Nansen has further expanded its data coverage across the Hyperliquid ecosystem, including HyperFND on-chain activity monitoring and the Hyperliquid Data API. Users can track HyperEVM active addresses, contract deployments, and ecosystem growth in real time, while development teams can access real-time Smart Money perpetual contract positions, unrealized profit/loss (PnL), account health, complete trading history, and performance data via the API, supporting quantitative analysis, strategy development, and application building.
SemiAnalysis' latest report: Meta computing power procurement will accelerate, and capital expenditure may increase significantly next year.
According to Mars Finance, a recent report by semiconductor research firm SemiAnalysis emphasizes that computing power demand is far from peaking. The report points out that Meta's computing power construction will continue, predicting its capital expenditure next year will be astonishingly high, and the market need not worry about it cannibalizing the market share of new cloud competitors. SemiAnalysis analysis indicates that Meta's data center and computing procurement will accelerate, not slow down, and that Meta will become a significant source of revenue growth for new cloud companies such as CoreWeave and Nebius. (Cailian Press)
Data: USDC leads USDT in stablecoin trading volume, with monthly trading volume hitting a new high.
According to Odaily from Visa's on-chain data platform, USDC has widened its lead over USDT in stablecoin trading volume in the first half of 2026. Data shows that adjusted stablecoin trading volume rose to $1.79 trillion in June, a 63% increase from May and a 125% increase from June 2025, setting a new record. Visa's statistics exclude non-real economic activities such as bot trading and internal exchange transfers. The total transaction volume of stablecoins reached $8.82 trillion in the first half of the year, exceeding the $5.8 trillion level for the whole of 2024, but still lower than the record $10.8 trillion in 2025. Structurally, USDC accounted for approximately 70% in the first half of 2026, while USDT accounted for approximately 25%, indicating a significant shift in market share towards compliant stablecoins. Analysis indicates that as banks and institutions increasingly use stablecoins for settlement and fund management, including institutions like Standard Chartered and BNY Mellon accelerating their integration into the USDC ecosystem, the stablecoin infrastructure is entering a phase of institutional expansion. (CoinDesk)