The Federal Reserve's next interest-rate decision is approaching, and investors are watching closely for clues about where monetary policy goes from here. While markets largely expect the Fed to keep rates unchanged, the bigger question is whether policymakers will signal that further tightening remains on the table. For ETF investors, the outcome could have different implications for growth stocks, long-term Treasury bonds and small-cap companies. Here are three ETFs to watch as the Fed prepares to announce its decision. Why the Fed's Decision Matters At its September meeting, the Federal Open Market Committee (FOMC) raised the federal funds target range by 25 basis points to 3.75%–4.00%, citing elevated inflation. The Fed's October meeting concludes on October 28, with the decision sched

The AI trade hit a fresh test on October 22. The Nasdaq Composite plunged 2.6% to 26,008.86, its steepest daily percentage decline since June, as investors reconsidered the cost of the AI boom. The S&P 500 fell 1.21%, while the Philadelphia Semiconductor Index sank 6.7%. The pressure was especially visible in companies tied to the AI investment race. $Meta Platforms, Inc.(META)$ dropped around 7% even after reporting quarterly revenue above expectations, as investors focused on its mounting AI-related spending and plans to raise capital. The bigger question is whether heavy AI investment will generate returns quickly enough to justify the bill. For traders expecting further weakness, inverse ETFs offer a way to take bearish exp

Morgan Stanley has initiated coverage on eight biotechnology companies spanning rare diseases, eye disorders, lung diseases and mental health. The firm sees significant potential in $PTC Therapeutics(PTCT)$ and $Belite Bio, Inc.(BLTE)$ , while $Trevi Therapeutics, Inc.(TRVI)$ and $COMPASS Pathways plc(CMPS)$ offer additional opportunities tied to clinical progress and potential commercialization. The common thread? Each company is developing treatments for conditions where existing options remain limited — creating potentially attractive markets, but also si

Hey Tigers! 🐯 Another week, another round of Wall Street analysts reassessing their favorite stocks. From AI software and semiconductor infrastructure to consumer brands and media companies, analysts sent mixed signals about where they see the biggest opportunities — and risks. Some companies received significant upgrades and higher price targets, while others faced growing concerns about valuations and future growth. Let's break down some of the week's most notable analyst calls from October 12–16, 2026! 👇 📅 Monday, Oct. 12: Salesforce Gets a Major AI-Era Upgrade 🤖 Stock Firm Rating Change Price Target 🟢 $Salesforce.com(CRM)$ $Bank of America(BAC)$ Underperform → Buy $285 🔴

A long-awaited product event, chipmaking discussions and an energy milestone put Tesla in focus ahead of its October 21 earnings report. Hey Tigers 🐯 — Tesla is heading into another closely watched product event, but its stock is arriving under pressure. $特斯拉(TSLA)$ closed October 14 at $367.16, down 2.15%, ahead of its delayed Roadster presentation. The stock has fallen 2.82% over five trading days, despite retaining a 2.28% gain over the past month. The broader picture remains challenging, with shares down 7.32% over three months and 18.36% year to date. That puts the Roadster reveal in focus as investors look for concrete progress to support a recovery.Meanwhile, $台积电(TSM)$</

Hi Tigers 🐯, Welcome to "What the Tigers say." 👋 Big-bank earnings season kicks off on October 13 with $JPMorgan Chase(JPM)$ $Goldman Sachs(GS)$ $Wells Fargo(WFC)$ and $Citigroup(C)$ reporting third-quarter results, and the community spent the run-up debating what actually holds bank valuations up: headline profits, net interest margins, or tangible book value. With rates volatile and $Berkshire Hathaway(BRK.B)$ still trimming $Bank of America(BAC)$

From AI-driven gains to earnings reality, here's what investors should watch as Wall Street heads into Q4. Four years. A remarkable rally. And a new test for Wall Street. The S&P 500's current bull market reached its fourth anniversary on October 12, 2026, having climbed approximately 118% from its October 2022 low. AI investment, resilient corporate earnings and enthusiasm for technology have helped fuel the advance. But the next phase may be more challenging. Rising bond yields, questions about AI profitability and uneven stock performance are forcing investors to look beyond headline index gains. Now, Q3 earnings season is stepping into the spotlight. 🏦 The key question: Can corporate earnings justify the rally and carry the market into Q4? 📊 1. Four Years Into the Rally: Where Is t

Wall Street reshuffled its calls last week, with analysts changing their views across AI, software, semiconductors, healthcare and consumer stocks. From $Microsoft(MSFT)$getting a bullish AI-security call to $Nike(NKE)$ facing deeper turnaround concerns, here are the key institutional moves from October 5–9 — and more importantly, why analysts changed their minds. 📅 MONDAY, OCT 5 | AI Security Becomes a New Bull Case 🟢 $Microsoft(MSFT)$Melius Research: Hold → Buy | PT: $465 → $665 Melius upgraded $Microsoft(MSFT)$, arguing that growing concerns around AI secu

$Taiwan Semiconductor Manufacturing(TSM)$ reported a 54.6% year-over-year jump in September revenue, adding to evidence of strong demand across the semiconductor industry. Its third-quarter revenue also beat analysts' expectations, giving the AI chip trade another positive signal. But can this momentum continue as investors demand more than impressive sales growth? 📊 TSMC Revenue at a Glance Metric Result September revenue NT$511.86B September YoY growth 0.546 September MoM growth -0.60% Q3 revenue NT$1.494T Q3 YoY growth ~50% Q3 analyst consensus NT$1.46T Sources: TSMC's September revenue report; Reuters, October 8, 2026. $Taiwan Semiconductor Manufacturing(TSM)$'s third-qua

Hey Tigers 🐯 — the U.S. midterm elections are approaching, and this time investors may want to pay closer attention. On November 3, 2026, Americans will vote for all 435 House seats and roughly one-third of the Senate. The results will determine control of Congress for the final two years of President Donald Trump’s current term. For Wall Street, the important question isn't simply which party wins. It is: What changes in Washington — and which stocks could benefit or face new risks? 🏛️ Why Does the Midterm Election Matter to Markets? Congress influences taxes, government spending, energy, healthcare, financial regulation, trade and technology policy. A change in congressional control could therefore change expectations for corporate costs, revenues and ultimately profits. The easiest way

Hey Tigers 🐯 — Wall Street analysts were busy reshuffling their stock picks last week. From $Netflix(NFLX)$ and $Target(TGT)$ receiving fresh bullish calls to $Moderna, Inc.(MRNA)$ and $Exxon Mobil(XOM)$ getting downgraded, the bigger story wasn’t simply “bullish vs. bearish.” Analysts were weighing valuation, improving fundamentals and future catalysts — and in several cases, a good company still got downgraded because its stock had already run too far. Here are some of the notable analyst moves from Sep. 28 to Oct. 2 👇 📅 Monday, Sep. 28: Travel Gets Bullish

$54.2B in revenue, 87% gross margins, and $60-63B Q1 guidance. $Micron Technology(MU)$'s blowout quarter confirms AI memory demand is accelerating — but a muted post-earnings reaction and shifting HBM market share have traders asking: is the easy money already priced in? Hey Tigers 🐯 — if you thought the AI memory trade was getting long in the tooth, Micron just served up a quarter that says otherwise. Revenue nearly quadrupled year-over-year. Margins hit levels you'd expect from a software company, not a chipmaker. And next quarter's guidance? Even higher. But here's what the market actually cared about: the stock barely moved after hours — up just 0.03%. Compare that to last quarter's 13%+ after-hours surge. High expectations meet

The AI infrastructure race is moving beyond a simple question: Who can secure the most GPUs? Anthropic's latest infrastructure disclosures suggest that the next bottleneck may be turning those chips into fully deployed, reliable compute capacity. The AI model developer could commit as much as $84.5 billion through 2029 for $NVIDIA(NVDA)$-based compute capacity supplied by $SpaceX(SPCX)$, according to reporting based on its latest IPO filing. That compares with roughly $45 billion of potential value previously disclosed in May. The scale of the agreement highlights how aggressively leading AI companies are securing computing resources — and how the opportunity is expanding f

China’s AI companies face a major challenge: they need increasingly powerful computing infrastructure at a time when access to advanced AI chips is becoming more restricted. $TENCENT(00700)$ may have found another route. According to the Financial Times, $TENCENT(00700)$ has agreed to a five-year deal worth roughly $7 billion with $Oracle(ORCL)$, giving it access to around 100,000 advanced AI chips housed in Oracle data centers across Southeast Asia. About 30% of the contract is reportedly being paid upfront. Reuters said it could not independently verify the report, and neither company had commented when its repo

September brought a sharp divergence across U.S. equities. Technology stocks remained resilient, while the broader market came under pressure from rising Treasury yields, elevated oil prices and uncertainty over the Federal Reserve’s next move. The $NASDAQ(.IXIC)$ Nasdaq Composite gained 1.86% in September, while the $S&P 500(.SPX)$ fell about 0.45% and the $Dow Jones(.DJI)$ Industrial Average dropped 4.29%. Despite the monthly pullback, the market entered October after another positive quarter for the S&P 500 and Nasdaq. 📊 September by the Numbers Index September Q3 Nasdaq Composite 1.86% 2.47% S&P 500

The AI race is getting bigger — and much more expensive. In just the past few days, OpenAI pushed further into autonomous AI agents, Anthropic revealed enormous future computing commitments, $Advanced Micro Devices(AMD)$ made an $8.2 billion bet on physical AI, and leading AI companies agreed to stronger safety controls. Meanwhile, hyperscalers continue pouring hundreds of billions into the infrastructure needed to power it all. For traders, the question is shifting from “How big can AI become?” to something harder: Where is all this money going — and who actually turns it into profit? 🧠 OpenAI vs. Meta: AI Is Leaving the Chatbox One of the clearest signs of AI's next phase came on September 29, when OpenAI unveiled Dots, always-on