# US Stocks Related Articles

HTX News Center provides the latest articles and in-depth analysis on "US Stocks", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Is WEEX TradFi Reliable? What You Should Know Before Your First Trade of U.S. Stock Tokens

In recent years, cryptocurrency users have expanded their focus beyond Bitcoin and Ethereum to include popular traditional financial (TradFi) assets like Nvidia, Apple, and Tesla stocks. This shift raises key questions: What do these TradFi assets represent on crypto trading platforms? How do they differ from traditional stock ownership? And how can users assess the reliability of platforms offering such products? TradFi products, such as those offered by WEEX TradFi (including NVDA, MSFT, AAPL, TSLA, and QQQ tokens), are blurring the lines between crypto and traditional markets. They allow users to trade based on the price movements of traditional assets within a familiar digital asset trading environment. However, it's crucial to understand that trading a "stock token" is not equivalent to owning the actual stock. Users are participating in price speculation, not gaining shareholder rights like dividends or voting. A key feature of these products is 7x24 trading, offering flexibility beyond traditional market hours. While convenient, this also introduces unique risks, such as potential liquidity gaps and volatility when underlying markets are closed. For users evaluating TradFi products, reliability hinges on transparency and risk management. Critical factors include understanding the product mechanism, how prices track the underlying assets, and the associated risks—especially when using leverage. Popular stocks and indices are still subject to company performance, macroeconomic shifts, and sector trends. Ultimately, TradFi represents a new gateway connecting crypto users to global markets. The future points toward integrated trading environments where the distinction between "crypto investor" and "traditional investor" fades. For newcomers, a platform's reliability stems not from promises, but from a clear understanding of the product, a comprehensive view of risks, and informed judgment of the platform's capabilities.

marsbitYesterday 05:14

Is WEEX TradFi Reliable? What You Should Know Before Your First Trade of U.S. Stock Tokens

marsbitYesterday 05:14

Trading Moments: Bitcoin's 200-week moving average has turned into a resistance level, can the July rise still be realized?

**Market Recap: Key Global Developments and Outlook** Global markets are navigating shifting dynamics. Geopolitical tensions eased as the US and Iran agreed to halt further military actions, planning talks for June 30. This pushed oil prices down, with WTI crude dropping below $70. Meanwhile, gold saw a "death cross" (50-day moving average crossing below the 200-day), pressured by a strong dollar and rising real yields. A methodological revision to the US PCE inflation index, set for September, is expected to artificially lower reported core inflation, drawing criticism for lack of transparency. In US equities, major indices extended losses, with the S&P 500 and Nasdaq recording their longest losing streaks since last year. Hedge funds aggressively sold tech stocks, particularly in semiconductors, leading to a sharp rotation into defensive sectors like healthcare and utilities. SpaceX is set for rapid inclusion in the Nasdaq 100, potentially triggering significant passive fund inflows, while its valuation faces scrutiny. Bitcoin is on track for its worst monthly performance since 2022, down over 18% in June. It has failed to reclaim its 200-week moving average (now acting as resistance near $62.6k), raising the risk of a drop toward $55k. Historically, July is a strong month for BTC, with an average gain of 7.6%. Analysts suggest the current sell-off could present a buying opportunity, with a key test being whether Bitcoin can stabilize above $61k to confirm a reversal. In Asia, South Korean stocks initially fell on semiconductor selling but recovered after the government announced a massive investment plan for chips and AI. Japanese retail sales showed strength, supporting consumer recovery. Chinese markets saw a rebalancing, with healthcare stocks surging on policy catalysts and consumption shares rebounding. Hong Kong tech stocks also rallied. **Key upcoming events:** * June 30: US-Iran technical talks; MiCA transition deadline in Spain; NetEase's dual-primary listing in Hong Kong. * July 1: ECB's Sintra Forum featuring key central bankers. * July 6-7: SpaceX's inclusion in Nasdaq 100 triggering passive fund flows. * September 30: New US PCE methodology takes effect.

marsbit06/29 08:42

Trading Moments: Bitcoin's 200-week moving average has turned into a resistance level, can the July rise still be realized?

marsbit06/29 08:42

'Bear' Doomsday Prophecy: AI 'Reaching Its Peak', U.S. Stocks to Top Out Fastest in Q3, Down 30-50%

"A Short Seller's Dire Prediction: AI Boom Fading, US Stocks to Peak by Q3 with 30-50% Decline" Prominent macro investors Jeffrey Gundlach and Felix Zulauf warn that the AI-driven market rally is nearing its end, forecasting a major US stock market correction of 30-50%, potentially beginning as early as Q3. Their analysis points to alarming parallels with historical market tops, citing extreme concentration in the top AI-related stocks within the S&P 500. Zulauf's bearish thesis hinges on unsustainable capital expenditure trends among major cloud companies, negative free cash flow emergence, and soaring semiconductor prices. Gundlach highlights dangerous parallels to the 1999 tech bubble peak. A key divergence from conventional wisdom is Gundlach's view that long-term Treasury yields will not fall meaningfully even during a recession, due to America's structurally out-of-control fiscal deficits and soaring interest costs. He warns this could force the government into yield curve control or even a sovereign debt restructuring. Both investors express severe concerns about the opaque private credit market, drawing parallels to the pre-2008 financial crisis environment. They allege widespread rating inflation, misrepresented credit quality, liquidity illusions, and fraudulent asset valuations within this sector. The analysis links the AI boom and private credit crisis through financing costs. They argue that as AI companies' cash flows weaken and they seek funding, a high and sticky long-term interest rate environment will severely stress lower-rated corporate borrowers, exposing cracks in credit markets. Finally, they predict a regime shift where the US dollar weakens and US equities underperform global markets, marking the end of their long dominance. The stage is set for a significant market reversal.

marsbit06/23 09:08

'Bear' Doomsday Prophecy: AI 'Reaching Its Peak', U.S. Stocks to Top Out Fastest in Q3, Down 30-50%

marsbit06/23 09:08

Conversation with Investor Zheng Di: MicroStrategy's Coin Sale Experiment, AI Economy, and Opportunities in US Stocks

Frontier tech investor Zheng "Didier" Di discusses the recent Bitcoin price drop, the financial strategy shift at MicroStrategy, the AI-driven surge in U.S. stocks, and the evolving role of crypto exchanges. Didier posits that the recent BTC decline stems less from macro factors or ETF outflows, and more from market repricing due to MicroStrategy's new financial structure. Following a wave of preferred stock and debt issuance (STRC, STRZ, etc.), MicroStrategy must now manage cash flow to pay dividends, potentially leading to a market expectation of sustained, small-scale BTC sales to maintain its "per-share bitcoin neutral" principle. Didier views this as a financial "experiment" testing market capacity for such recurring sell pressure, which, while creating near-term structural headwinds, likely avoids a true "death spiral" absent major new external shocks. Shifting to AI, Didier argues that tokens are becoming the new form of labor, with AI models and compute (tokenized inputs) increasingly replacing human roles in execution and middle-management. This drives enterprise efficiency and higher margins, fueling the sustained rally in U.S. semiconductor, data center, and infrastructure stocks. He foresees an emerging "machine economy" where automated agents transact and collaborate on-chain. Regarding crypto exchanges offering U.S. equities, Didier sees this as a natural evolution. With few crypto-native assets generating lasting value, exchanges are pivoting towards real-world assets (RWAs) like stocks and bonds. This doesn't necessarily cannibalize crypto but reflects a maturing industry focusing on blockchain's core utilities: decentralized choice and efficient settlement. He notes that trading logic for crypto natives doesn't need to drastically change, as meme-driven and fundamentalist strategies find analogs in U.S. markets. The "1011 event" (likely referring to a major market crash) severely damaged crypto market liquidity, marking a probable end to the altcoin speculative cycle, with capital flowing towards the deeper liquidity of U.S. markets. For the macro outlook, Didier is cautious about near-term market pressure from potential mega-IPOs (e.g., SpaceX) and the U.S. midterm elections, which could bring more regulatory scrutiny. Long-term, he remains bullish on AI's productivity gains and its convergence with blockchain/Web3, predicting a shift from speculative frenzy to a more institutionalized, industrial phase for the crypto sector.

marsbit06/19 06:32

Conversation with Investor Zheng Di: MicroStrategy's Coin Sale Experiment, AI Economy, and Opportunities in US Stocks

marsbit06/19 06:32

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

With the excitement around SpaceX's recent public listing reigniting interest in the US stock market, Chinese investors face significant challenges accessing compliant and convenient trading channels following regulatory actions against major online brokers. This article explores the available options, highlighting their risks and limitations. Traditional paths for US stock investments remain problematic. Qualified Domestic Institutional Investor (QDII) and Listed Open-Ended Fund (LOF) products, while compliant, suffer from high fees, significant purchase premiums, and a very limited selection of assets. Small, unregulated offshore brokers pose substantial risks, including potential insolvency. While secure, VIP accounts at banks in Hong Kong or Singapore require high minimum deposits (often 1-2 million RMB) and in-person visits, placing them out of reach for most retail investors. The article positions cryptocurrency exchanges, specifically their TradFi (traditional finance on-chain) offerings, as a compelling alternative. Platforms like WEEX are noted for providing access to a wide range of US stocks and ETFs, including SpaceX (SPCXON), through tokenized assets. This method offers advantages such as a single account for both crypto and traditional assets, USDT-based settlement avoiding fiat complexities, flexible leverage, and robust risk management. To attract users, WEEX is promoting a "First Trade Guarantee" campaign. Running from June 15 to July 8 (UTC+8), it features a $30,000 prize pool. Users who trade $500 worth of US stock contracts can qualify for a guarantee on their first eligible trade: 100% loss coverage up to $30 or a 20% bonus on profits up to $30. The campaign is presented as a low-risk opportunity for both crypto natives and traditional investors to experience US stock trading.

marsbit06/15 10:40

Missed the SpaceX IPO? WEEX's "First Trade Protection" Lets You Experience US Stock Trading Risk-Free.

marsbit06/15 10:40

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

When LPs Use Doubao to Teach Investing: A Transition Story of a Private Equity GP AI is making life increasingly difficult for small private equity fund managers, as a former GP of an offshore dollar fund reveals. The fund, managing tens of millions in US stocks, outperformed the Nasdaq but struggled with fundraising. Its traditional Cayman SPC/BVI structure failed to attract major Asian LPs, who now prefer Hong Kong LPF or Singapore VCC frameworks. The rise of AI-powered quantitative strategies has further squeezed the space for funds like his, which relied on subjective, discretionary investing. AI tools have leveled the information playing field, empowering LPs—often high-net-worth individuals, entrepreneurs, or family offices—to analyze investments themselves using chatbots like Doubao. This has eroded trust in GPs' expertise, leading to more frequent challenges over investment decisions and even withdrawals, especially during market rallies when retail investors sometimes outperform funds. Friction arises not necessarily from AI's capabilities but from how LPs use it. Many rely on conversational AI for validation rather than rigorous analysis, sometimes receiving misleading or hallucinated advice. While AI democratizes research, effective investing still requires discerning real insight from plausible-sounding output. Ultimately, AI is unlikely to fully replace GPs. Asset management remains a trust-based service. However, the industry must adapt. The future may see "human私募" (private equity) learning from AI and focusing more on providing value beyond pure analysis—perhaps by mastering the emotional intelligence and trust-building that machines cannot replicate.

Odaily星球日报06/09 02:39

When LPs Teach Me Investment with Doubao: A Self-Narrative of a Private Equity GP Switching Careers

Odaily星球日报06/09 02:39

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

JP Morgan's 2026 Mid-Year Outlook argues the AI supercycle is far from over, despite market pessimism. The report advises clients to reduce cash holdings, increase allocations to real assets as an inflation hedge, and focus on emerging markets. Key conclusions include: 1. **AI Supercycle Intact**: Hyperscalers' 2026 capex forecasts exceed $650B, with AI contributing to GDP growth. However, their financial profile is shifting toward heavy investment, compressing free cash flow. 2. **SaaS Disruption**: Traditional software companies are being negatively impacted by AI, with significant stock declines and pressure in credit markets. 3. **Persistent Inflation**: Core inflation is structurally higher post-pandemic. Holding excess cash and bonds leads to real wealth erosion. Recommendations include commodities, infrastructure, real estate, and gold. 4. **Geopolitical Shocks & Opportunities**: The Hormuz Strait blockade caused a major oil shock, but JP Morgan views the subsequent equity market pullback as a buying opportunity. "Fragmentation" is creating pockets of value, notably in resource-rich Latin America, AI-supply-chain-linked East Asia, and deeply discounted Chinese equities, where a policy shift could trigger a re-rating. 5. **Regional Views**: The firm is cautious on Europe due to high energy costs and lower innovation investment, preferring US and select EM exposures. In short, JP Morgan sees market volatility as an entry point but recommends a portfolio pivot: favor AI infrastructure, real assets, and EM, while avoiding excess cash, vulnerable software firms, and traditional 60/40 stock-bond allocations.

marsbit06/08 03:59

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

marsbit06/08 03:59

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