当地时间9月22日，道琼斯工业平均指数、标准普尔500指数、纳斯达克指数均创下盘中历史新高，并连 续第三个交易日收于高点，延续上周的涨势。就连小盘股也加入了这一行列，罗素2000指数在9月18日 创下2021年以来的最高收盘水平后继续维持涨势。 这一切都是在美联储降息的背景下发生的。 虽然降息25个基点的决定并没有突破市场普遍预期，但市场反应表明，投资者的乐观情绪还是很明显 的。标准普尔500指数创下新纪录的同时，其关键行业——技术精选行业SPDR、通信服务精选行业 SPDR和非必需消费品精选行业SPDR等ETF也创下新高。 这种基础的、广泛的反弹已经持续了数月，标准普尔500指数较今年4月初低点已涨超30%，今年年初以 来更是创下了28次新高，部分原因是企业盈利好于预期、美国经济弹性，以及市场对美联储降息的乐观 情绪。 不能忽视的是，美股估值目前正处在历史高位，这让一些人认为，当前美股已经进入了全面大好的牛市 时期。不过，目前美国就业市场表现不佳、特朗普没有放松关税政策仍是高悬于投资者头顶的利剑。 此外，还有一个令人担忧的迹象：道琼斯运输平均指数（DJTA）今年并没有随大盘飙升，反而下跌 了。 该指数是由《 ...

Group 1 - The Dow Jones Industrial Average, S&P 500, and Nasdaq indices reached intraday all-time highs on September 22, continuing a bullish trend from the previous week, with the Russell 2000 index also hitting its highest closing level since 2021 [1] - The market's positive reaction followed a 25 basis point interest rate cut by the Federal Reserve, which, although expected, has contributed to investor optimism [1] - The S&P 500 index has risen over 30% since its low in early April, marking 28 new highs this year, driven by better-than-expected corporate earnings, economic resilience, and positive sentiment towards the Fed's rate cuts [1] Group 2 - The Dow Jones Transportation Average (DJTA) has not followed the broader market's upward trend, instead declining this year, raising concerns among market observers about the sustainability of the current market rally [1][2] - Charles Dow's theory suggests that the DJTA should rise alongside the Dow Jones Industrial Average to confirm a broad market rebound, leading to skepticism about the current market conditions [2] - Factors such as tariff fluctuations and a slowing global economy are seen as headwinds for transportation stocks, which could impact the overall market [2]

美股周五再度迎来强劲表现，道琼斯工业平均指数、标普500指数及纳斯达克综合指数齐创历史新高， 市场情绪持续高涨。即便此前长期落后的中小盘股指标罗素2000指数也在周四创下近四年来首次历史收 盘新高。不过，罗素2000周五出现小幅回调。 他表示，当前的核心问题在于，运输指数的疲软究竟只是阶段性调整，还是预示着道琼斯工业指数近期 的突破是"虚假突破"，即市场上涨缺乏基本面支撑。 在运输板块中，联邦快递被视为行业"风向标"。该公司周四盘后公布的财报表现稳健，周五股价上涨超 过2%，被市场解读为积极信号。 Tikehau Capital资本市场策略主管Raphael Thuin表示："运输股对经济变化最为敏感，如果市场轮动持 续，运输股可能成为下一阶段上涨的主力。" 然而，联邦快递的利好并未带动整个板块回升。周五，运输指数仍小幅下跌，联合包裹股价下挫1%。 分析人士指出，除非更多运输企业发布强劲业绩和乐观指引，否则当前大盘上涨可能难以持续，年底或 将验证这轮上涨是否仅是"牛市陷阱"。 根据道氏理论，运输指数与工业指数需同步上涨，才能确认市场处于健康扩张阶段。如果两者走势出现 背离，则被视为经济动能减弱甚至衰退的前兆。 ...

1. 9月18日(周四)美股盘前，美股三大股指期货齐涨。截至发稿，道指期货涨0.65%，标普500指数期货涨0.81%，纳指期货涨 1.09%。 2. 截至发稿，德国DAX指数涨1.35%，英国富时100指数涨0.29%，法国CAC40指数涨1.23%，欧洲斯托克50指数涨1.55%。 3. 截至发稿，WTI原油涨0.34%，报64.27美元/桶。布伦特原油涨0.28%，报68.14美元/桶。 | 틀 WTI原油 | 2025年10月 | 64.27 | 64.28 | 63.45 | +0.22 | +0.34% | | --- | --- | --- | --- | --- | --- | --- | | 器 伦敦布伦特原油 | 2025年11月 | 68.14 | 68.15 | 67.34 | +0.19 | +0.28% | 市场消息 美联储降息东风至！小盘股重回市场焦点。在美股今年创纪录式大幅上涨的大部分时间里，小盘股似乎处于观望状态。如今， 在美联储降息预期持续升温的大举推动之下，市场"动物精神"全面回归，小盘股终于在近期短暂地加入了这场投资盛宴，并几 乎终结了自大流行以来持续跑输标普500指数 ...

盘前市场动向 1. 9月18日(周四)美股盘前，美股三大股指期货齐涨。截至发稿，道指期货涨0.65%，标普500指数期货涨0.81%，纳指期货涨 1.09%。 | = US 30 | 46,319.60 | 46,366.60 | 46,025.10 | +301.30 | +0.65% | | --- | --- | --- | --- | --- | --- | | US 500 | 6,654.10 | 6,659.70 | 6,604.40 | +53.70 | +0.81% | | 트 US Tech 100 | 24,488.30 | 24,505.60 | 24.245.40 | +264.60 | +1.09% | 2. 截至发稿，德国DAX指数涨1.35%，英国富时100指数涨0.29%，法国CAC40指数涨1.23%，欧洲斯托克50指数涨1.55%。 | 德国DAX30 | 23,661.89 | 23,690.39 | 23,483.89 | +314.94 | +1.35% | | --- | --- | --- | --- | --- | --- | | 器 英国富时100 | 9, ...

在"道氏理论"这一股市分析框架看来，联邦快递(FDX.US)周四发布的财报，或许能为当前屡创新高的 股市提供线索，揭示这轮涨势还能延续多久。 道氏理论由20世纪初的查尔斯.道提出，他同时发明了道琼斯工业平均指数与道琼斯运输业平均指数。 该理论核心观点认为，唯有工业指数与运输业指数的走势相互印证(即一方上涨/下跌时，另一方同步跟 进)，才能确认市场形成真正的趋势。然而今年以来，这一"印证"始终缺席：道琼斯工业平均指数不断 刷新纪录，运输业指数却持续低迷。 从道氏理论视角看，当前股市态势已显现不祥信号。2005年以来，道指与运输业指数的差距仅在四个时 期达到过当前水平：2008-2009年全球金融危机期间、2020年新冠疫情引发的市场崩盘，以及今年4月的 关税恐慌。 分析师预计，联邦快递将在其2025财年第一季度财报中披露营收与调整后每股收益的小幅增长。但市场 对该股的反应，很可能取决于公司是否认为其全年最繁忙的"假日旺季"(年末购物季)会出现业务反弹。 目前，联邦快递仅发布了本季度业绩预告，未给出更长期指引;而联合包裹已干脆放弃了全年业绩预 期。 "这次财报电话会议将至关重要。"SLC管理公司董事总经理德克.马 ...

Core Viewpoint - Incrementum AG's annual report indicates that despite the surge in gold prices to a record $3,500 per ounce, the long-term bull market for gold is still in its early stages, with expectations of higher price increases in the latter half of this decade [1] Group 1: Price Predictions - The research team led by Ronald-Peter Stferle and Mark Valek forecasts that gold could reach $4,800 per ounce by 2030, with a potential "bull market scenario" pushing prices up to $8,900 due to rising inflation threats [1] - Since the initial prediction in 2020, gold prices have increased by 92%, yet its allocation in overall investment portfolios remains around 1% [1] Group 2: Market Dynamics - The report emphasizes that the current phase of the bull market is characterized by increasing media optimism, which could lead to a "mania phase" [1] - Although gold prices have performed well this year, they remain moderate compared to historical bull markets, with 22 new highs recorded as of April 30, compared to 43 last year [1] Group 3: Demand Drivers - Incrementum anticipates that investment demand will become a new driving force for gold prices, as investors seek to hedge against inflation and geopolitical uncertainties, despite current inflows into gold ETFs lagging behind stocks and bonds [1] - Central bank demand is highlighted as a significant support for gold prices, but the report suggests that the influx of Western financial investors is still awaited [1] Group 4: Economic Context - The report critiques the U.S. government's tightening policies, suggesting they may push the economy towards recession, which could ultimately benefit gold as the Federal Reserve is likely to lower interest rates in response to economic slowdowns [1] - Analysts warn that a weak dollar policy could undermine currency credibility and deter essential capital inflows, potentially leading to inflation and reduced purchasing power [2]

- The report introduces the "Caixin JinGong Three-Dimensional Sentiment Model," which is based on the Dow Theory's triple movement principle. It constructs a signal system from three dimensions: sentiment temperature, sentiment expectation, and sentiment concentration, corresponding to different market frequencies: high-frequency (days to weeks), medium-frequency (weeks to months), and low-frequency (months to years) [6][7][9] - The sentiment expectation dimension uses the futures basis rate and the inverse of the option's PCR (Put-Call Ratio) to reflect short-term market sentiment. The sentiment temperature dimension quantifies market fund activity using the main force buying rate. The sentiment concentration dimension measures the correlation of multiple assets in the A-share market using the first principal component variance contribution rate of the CITIC Level-3 industry index [7][8] - The model's application scenarios are diverse: it can serve as a risk warning tool, a risk preference indicator, or a guide for A-share equity position operations. High positions indicate low market risk, while low positions suggest high risk. The model helps investors control drawdowns in bear and volatile markets and optimize asset allocation [6][9] - The long-term performance of the Caixin JinGong Three-Dimensional Sentiment Strategy shows significant advantages over the HS300 holding strategy. From 2010 to 2025, the strategy achieved an annualized return of 6.0%, a maximum drawdown of 26.93%, and a Sharpe ratio of 0.3969, compared to the HS300's 0.69% annualized return, 46.50% maximum drawdown, and 0.1288 Sharpe ratio [6][12][14] - The strategy's performance in specific years (2011, 2013, 2015, 2018, 2022, 2023, and 2024) consistently shows strong risk control and return potential. For example, in 2011, the strategy's maximum drawdown was 13.45% compared to HS300's 31.19%, and its annualized return was -3.32% compared to HS300's -26.41% [17][20][23][27][31][35][39] - The model's core logic is to dynamically adjust asset positions based on market sentiment changes, effectively controlling drawdowns in bear and volatile markets. It is designed for risk warning rather than actively creating alpha returns, making it perform better than the benchmark in bear and volatile markets but often underperform in bull markets due to conservative position adjustments [6][15][40]