StreetAccount’s Bull/Bear Talking Points for Week-ended 30-Oct: 🐻 Bearish talking points • Big tech pressured despite largely upbeat AI takeaways with softness in other segments at both Google and Amazon and some scrutiny surrounding Microsoft's planned $25B+ debt sale. Elevated expectations also highlighted. Core businesses funding for AI buildout under some scrutiny in big tech earnings with focus on Google Search and Amazon advertising slowdowns (stock weakness another potential stumbling block). Tech earnings-driven pullbacks not limited to hyperscalers with Intel, ServiceNow, Fortinet, Sandisk, Seagate, Twilio, Reddit and Roblox some notable decliners. Input cost pressures across a range of industries with diesel/commodities, logistics and memory all flagged. Signs of bifurcated consumer and continued ramp in affordability pressures. Housing and repair/remodel weakness still an earnings/macro theme, particularly amid elevated rate backdrop. Resumption of kinetic activity in the Middle East following midterm elections still the consensus as US reportedly told several Gulf nations to prepare for a possible "short, intense" campaign against Iran. No uptick in 2026 hyperscaler capex guidance, a key bullish driver for the AI picks-and-shovels trade, while also thoughts capex discipline may be needed to reverse some of the negative hyperscaler sentiment. 🐂 Bullish talking points • AI trade bounced over first three days of week with funding overhang dampened (Meta, SpaceX, Broadcom), Anthropic S-1 and Oracle analyst day. Hyperscaler cloud growth and backlogs highlighted strong AI demand and companies all noted demand still exceeds available capacity. AI-driven power and grid buildout continued to ramp, highlighted by the likes of GE Vernova, Vertiv, Hubbell, AEP and Baker Hughes. Resilient consumer backdrop in focus with big consumer confidence beat and good Q3 metrics/Oct commentary from Visa and Mastercard. Rotation > broad risk off as late-week tech pressure accompanied by better breadth. Strong deal and capital return activity, including report of potential $80B+ acquisition of Lumentum by Marvell. Middle East diplomacy push kept de-escalation path open despite expectations for resumption of kinetic activity. Fed delivered a bit less of the "hawkish hold" than some expected, with focus on Warsh acknowledgement of tighter financial conditions, belief economy not running too hot, and dissent composition. $GOOGL $AMZN $MSFT $META $AVGO $ORCL $INTC $NOW $FTNT $STX $TWLO $RDDT $RBLX $LITE $MRVL $GEV $VRT $HUBB $BKR $V $MA $ANT #Anthropic# #BullBear# #MarketUpdate# #Equities# #FinTwit# #AI# #Tech# #BigTech# #AITrade# #Hyperscalers# #CloudComputing# #Capex# #MiddleEast# #Iran# #Fed# #HawkishHold# #Consumer# #PowerGrid# #AIInfrastructure# #MarketBreadth# #FinTwit# Gain immediate access to earnings insights with #StreetAccount#:

finance could lean harder into the bull/bear thing. hedge fund employees even masc-er cowboys, herding bulls, protecting them from the bears ( in the mountains? so there's both bears and livestock). little bear&bull flourishes around the office...get early 20th century with it

This week's video will provide updated looks of numerous bull/bear charts that we have covered in recent months, allowing you to make your own call related to the weight of the evidence. #ComingFridayNight#

Global investors have rarely been this bullish: Bank of America's Bull & Bear Indicator is up to 9.6 points, the highest since December 2020. The gauge measures equity and bond fund flows, hedge fund and fund manager equity positioning, credit market conditions, and market breadth. This metric is now at its 3rd-highest level in 24 years, indicating an extremely positive market sentiment. This comes as 5 out of 6 indicator components show bullish and very bullish readings, with only global stock market breadth at neutral. The most recent increase in the gauge has been driven by fund manager cash allocation, which has fallen -0.5 percentage points month-over-month, to 3.6%, near the lowest in 13 years. Investor appetite for stocks has rarely ever been stronger.

If you like to make decisions based on comparisons between 2026 and relevant bull/bear turning points in history, you should enjoy this week's video. Facts > Narratives & Forecasts

Here is the full suite of trading ETFs made by @DirexionLETFs Daily Bull & Bear 3X ETFs $SOXL Daily Semiconductor Bull 3X ETF $SPXL Daily S&P 500 Bull 3X ETF $SOXS Daily Semiconductor Bear 3X ETF $TECL Daily Technology Bull 3X ETF $MIDU Daily Mid Cap Bull 3X ETF $SPXS Daily S&P 500 Bear 3X ETF $TNA Daily Small Cap Bull 3X ETF $TZA Daily Small Cap Bear 3X ETF $EDC Daily MSCI Emerging Markets Bull 3X ETF $EDZ Daily MSCI Emerging Markets Bear 3X ETF $EURL Daily FTSE Europe Bull 3X ETF $KORU Daily MSCI South Korea Bull 3X ETF $MEXX Daily MSCI Mexico Bull 3X ETF $YINN Daily FTSE China Bull 3X ETF $YANG Daily FTSE China Bear 3X ETF $TYD Daily 7-10 Year Treasury Bull 3X ETF $TYO Daily 7-10 Year Treasury Bear 3X ETF $TMF Daily 20+ Year Treasury Bull 3X ETF $TMV Daily 20+ Year Treasury Bear 3X ETF $CURE Daily Healthcare Bull 3X ETF $DFEN Daily Aerospace & Defense Bull 3X ETF $DPST Daily Regional Banks Bull 3X ETF $DRN Daily Real Estate Bull 3X ETF $DRV Daily Real Estate Bear 3X ETF $DUSL Daily Industrials Bull 3X ETF $FAS Daily Financial Bull 3X ETF $FAZ Daily Financial Bear 3X ETF $HIBL Daily S&P 500 High Beta Bull 3X ETF $HIBS Daily S&P 500 High Beta Bear 3X ETF $LABU Daily S&P Biotech Bull 3X ETF $LABD Daily S&P Biotech Bear 3X ETF $NAIL Daily Homebuilders & Supplies Bull 3X ETF $PILL Daily Pharmaceutical & Medical Bull 3X ETF $RETL Daily Retail Bull 3X ETF $TECS Daily Technology Bear 3X ETF $TPOR Daily Transportation Bull 3X ETF $UTSL Daily Utilities Bull 3X ETF $WANT Daily Consumer Discretionary Bull 3X ETF $WEBL Daily Dow Jones Internet Bull 3X ETF $WEBS Daily Dow Jones Internet Bear 3X ETF Daily Bull & Bear 2X ETFs $AIBU Daily AI and Big Data Bull 2X ETF $AIBD Daily AI and Big Data Bear 2X ETF $BRZU Daily MSCI Brazil Bull 2X ETF $CHAU Daily CSI 300 China A Share Bull 2X ETF $CWEB Daily CSI China Internet Index Bull 2X ETF $ERX Daily Energy Bull 2X ETF $ERY Daily Energy Bear 2X ETF $FNGG Daily NYSE FANG+ Bull 2X ETF $GUSH Daily S&P Oil & Gas Exp. & Prod. Bull 2X ETF $DRIP Daily S&P Oil & Gas Exp. & Prod. Bear 2X ETF INDL Daily MSCI India Bull 2X ETF JNUG Daily Junior Gold Miners Index Bull 2X ETF JDST Daily Junior Gold Miners Index Bear 2X ETF LMBO Daily Crypto Industry Bull 2X ETF NUGT Daily Gold Miners Index Bull 2X ETF DUST Daily Gold Miners Index Bear 2X ETF QQQU Daily Magnificent 7 Bull 2X ETF SPUU Daily S&P 500 Bull 2X ETF UBOT Daily Robotics, AI & Automation Index Bull 2X ETF URAA Daily Uranium Industry Bull 2X ETF Daily Bear 1X ETFs QQQD Daily Magnificent 7 Bear 1X ETF SPDN Daily S&P 500 Bear 1X ETF Single Stock L&I ETFs TSLL Daily TSLA Bull 2X ETF AAPU Daily AAPL Bull 2X ETF AAPD Daily AAPL Bear 1X ETF ADBU Daily ADBE Bull 2X ETF AMUU Daily AMD Bull 2X ETF AMDD Daily AMD Bear 1X ETF AMZU Daily AMZN Bull 2X ETF AMZD Daily AMZN Bear 1X ETF ASMU Daily ASML Bull 2X ETF AVL Daily AVGO Bull 2X ETF AVS Daily AVGO Bear 1X ETF BABU Daily BABA Bull 2X ETF BOEU Daily BA Bull 2X ETF BRKU Daily BRKB Bull 2X ETF CONX Daily COIN Bull 2X ETF CSCL Daily CSCO Bull 2X ETF CSCS Daily CSCO Bear 1X ETF ELIL Daily LLY Bull 2X ETF GGLL Daily GOOGL Bull 2X ETF GGLS Daily GOOGL Bear 1X ETF HODU Daily HOOD Bull 2X ETF LINT Daily INTC Bull 2X ETF LMTL Daily LMT Bull 2X ETF METU Daily META Bull 2X ETF METD Daily META Bear 1X ETF MRVU Daily MRVL Bull 2X ETF MSFU Daily MSFT Bull 2X ETF MSFD Daily MSFT Bear 1X ETF MUU Daily MU Bull 2X ETF MUD Daily MU Bear 1X ETF NFXL Daily NFLX Bull 2X ETF NFXS Daily NFLX Bear 1X ETF NVDU Daily NVDA Bull 2X ETF NVDD Daily NVDA Bear 1X ETF ORCU Daily ORCL Bull 2X ETF ORCS Daily ORCL Bear 1X ETF PLTU Daily PLTR Bull 2X ETF PLTD Daily PLTR Bear 1X ETF PALU Daily PANW Bull 2X ETF PALD Daily PANW Bear 1X ETF PYPU Daily PYPL Bull 2X ETF QCMU Daily QCOM Bull 2X ETF QCMD Daily QCOM Bear 1X ETF SHPU Daily SHOP Bull 2X ETF SOFA Daily SOFI Bull 2X ETF TSLS Daily TSLA Bear 1X ETF TSMX Daily TSM Bull 2X ETF TSMZ Daily TSM Bear 1X ETF TXNU Daily TXN Bull 2X ETF UNHU Daily UNH Bull 2X ETF XOMX Daily XOM Bull 2X ETF Titans L&I ETFs BIOT Daily Biotech Top 5 Bull 2X ETF TEXU Daily Energy Top 5 Bull 2X ETF TSXU Daily Semiconductors Top 5 Bull 2X ETF TSXD Daily Semiconductors Top 5 Bear 2X ETF TTXU Daily Technology Top 5 Bull 2X ETF TTXD Daily Technology Top 5 Bear 2X ETF Actively Managed Tactical ETFs HCMT HCM Tactical Enhanced US ETF Non-Leveraged ETFs COM Auspice Broad Commodity Strategy ETF QQQE NASDAQ-100 Equal Weighted Index ETF Disclosure: @DirexionINV is a WOLF Financial Partner

If $BTC breaks out here 82k range which imo is the biggest psychological resistance between being a bull/bear here then the next 3 months will change people destiny and crypto will have the best run it had in years especially total3 👀

Ultra-Long-Term Retirement ETF Allocation Strategy for U.S. Stocks Beyond Bull-Bear Cycles: A Practical Guide Based on Kondratiev Waves and Multi-Dimensional Negative Correlation Asset Theory Wallace Observer | Xtrader @cnfinancewatch Mar 5 Many investors are drawn to top U.S. equity ETFs such as VOO, VTI, QQQ, SMH, VGT, IWM, VYM, SCHD, USMV and VTV. These vehicles are indeed stalwarts for long-term holdings: VOO tracks the S&P 500 with ultra-low expense ratios; VTI offers full-market exposure; QQQ, SMH and VGT capture gains in technology and artificial intelligence; IWM and VTV balance small-cap and value allocations; VYM, SCHD and USMV deliver high dividends alongside subdued volatility. An all-equity portfolio can generate annual returns above 10% during bull markets, yet it cannot withstand bear markets. Drawdowns routinely hit 30–50% in episodes like 2008 and 2022. A genuine lifelong retirement portfolio must navigate the four seasons of the Kondratiev long wave. By deploying multi-dimensional negatively correlated asset allocation, investors can achieve steady compound returns: capturing robust gains in bull runs, preserving moderate returns amid downturns, and safeguarding capital during depressions. Drawing on Kondratiev Wave theory and multi-dimensional negative correlation asset allocation, this article outlines an ultra-long-term retirement portfolio tradable within U.S. brokerage accounts including Interactive Brokers, Firstrade and M1 Finance. Concisely structured with actionable takeaways, this blueprint is ready for direct implementation. Core philosophy: instead of forecasting short-term bull and bear swings, leverage long-wave cycles and asset negative correlations to ensure the portfolio contains holdings capable of surviving and growing through every economic regime. I. Two Foundational Frameworks: Kondratiev Waves and Multi-Dimensional Negative Correlation Allocation The Kondratiev Wave is a 50–60 year super-cycle identified by Soviet economist Nikolai Kondratiev, driven by technological innovation and divided into four phases: • Spring (Recovery / Prosperity): New technologies gain traction, economic expansion lifts growth stocks and tech names, while value stocks and small caps enjoy catch-up rallies. • Summer (Peak Prosperity): Inflation rises, benefiting dividend blue chips and commodities. • Autumn (Recession / Stagflation): Elevated interest rates weigh on bonds, while high-dividend and low-volatility assets provide downside buffers. • Winter (Depression / Deflation): Collapsing demand makes cash king. Gold (as a credit hedge) and long-duration bonds (which surge when interest rates plunge) outperform; equities broadly lack sustained upside. Chinese researchers such as Zhou Jintao emphasized that individuals encounter only three major wealth-building opportunities aligned with Kondratiev turning points. For investors unable to precisely time inflection points, full-cycle allocation is essential: equities drive returns in spring and summer, while gold, bonds and dividend instruments deliver stability through autumn and winter. The 2025–2030 period falls within the transition toward the fifth Kondratiev Winter, boosting the appeal of gold and bond exposure. Still, portfolios built for a 30–50 year horizon must cover the complete cycle. Multi-dimensional negative correlation asset allocation theory: Rather than placing all eggs in one basket, select assets with low or even negative correlation coefficients. Equities versus bonds: Stocks typically fall amid rising rates alongside bonds, yet bonds surge during deflationary episodes. Equities versus gold: Gold acts as a crisis hedge; in 2022, gold held firm while equities declined. Long bonds versus short-duration bonds: Long bonds exhibit high volatility, while short-duration instruments carry minimal interest-rate risk. Dividend ETFs versus growth stocks: Dividend vehicles offer defense, while growth names deliver offensive upside. Historical data confirms this framework caps maximum portfolio drawdowns at 15–20% while sustaining annualized returns of 7–9%, far superior to the roller-coaster volatility of pure equity holdings. Combining both theories yields an enhanced perpetual retirement portfolio — a variation of Harry Browne’s Permanent Portfolio (25% Equities / 25% Long Bonds / 25% Gold / 25% Cash). It integrates popular U.S. equity ETFs to maintain offensive upside without abandoning downside protection. II. Asset Class Rationale: Why Equities, Dividend ETFs, Bonds, Short-Duration Debt and Gold Are Indispensable 1. Equity Basket (Growth + Value + Small-Cap + Tech, 30–35%) The primary return engine during the spring and summer phases of the Kondratiev cycle. Select low-cost Vanguard, Invesco and iShares products curated from the aforementioned top ETFs to mitigate single-segment risk. Correlation dynamic: Equities tend to move inversely to gold and bonds; this segment will face pressure in winter, offset by gains in other holdings. 2. Dividend ETFs (High-Quality Payouts, 10%) SCHD (sustainable dividends with growth potential) and VYM (high-yield blue chips) function as perpetual cash flow generators. They deliver 4–5% annual dividend yields plus moderate capital appreciation across the full Kondratiev cycle, with volatility roughly 30% lower than pure growth stocks. Correlation dynamic: Complementary to tech growth equities, with shallower bear-market drawdowns. Dividends within retirement accounts can be reinvested or withdrawn periodically. 3. Bond ETFs (Aggregate / Medium-to-Long Duration, 15%) BND (Vanguard Total Bond Market ETF, expense ratio 0.03%) covers U.S. Treasuries, corporate bonds and mortgage-backed securities. During deflationary Kondratiev winters, long-duration bond prices rally sharply as interest rates fall, offsetting equity losses. It maintains an approximate -0.4 correlation coefficient with stocks, serving as a classic hedging tool. 4. Short-Duration Bond ETFs (Ultra-Short Treasuries / Cash Equivalents, 15–20%) BIL (SPDR 1–3 Month T-Bill ETF, expense ratio ~0.135%) or SGOV deliver near-zero volatility, with yields tracking Federal Reserve policy rates (remaining above 4% as of 2026). This allocation provides liquidity in every cycle and serves as dry powder to buy other assets at depressed valuations late in depressions. Correlation dynamic: Complements long-duration bonds with negligible interest-rate risk. 5. Gold ETFs (Physical Gold Backing, 15–20%) GLDM (SPDR Gold MiniShares, expense ratio 0.10%, cheaper than GLD) or IAUM. Gold is the premier Kondratiev credit hedge: it rallies during inflation, crises and depressions amid fiat currency depreciation, registering near-zero or negative correlation with equities. Its strongest performance typically occurs during transitions between recession and depression. These assets create multi-layered negative correlations: gold and bonds may decline while stocks advance; equities can stabilize as gold rises; short-duration bonds remain steady through all regimes. Overall portfolio volatility falls to 8–12%, with drawdowns vastly milder than the 50%+ losses seen in pure VOO holdings. III. Concrete Allocation Blueprint: Tradable Lifelong Portfolio Target allocation (100% capital, neutral-to-conservative risk profile for investors aged 40–60): • Growth Equity Bucket (35%) VTI (Total U.S. Market): 10% VOO (S&P 500): 8% QQQ (Nasdaq 100): 5% SMH (Semiconductors) + VGT (Information Technology): 3% each (6% combined) IWM (Russell 2000 Small Caps): 3% VTV (Value Equities): 3% → Captures the core of the featured ETF lineup to harvest tech and growth returns in spring and summer cycles. • Dividend Defensive Bucket (10%) SCHD: 6% + VYM: 4% → Delivers stable 4%+ dividend yields and suppresses overall portfolio volatility. • Bond Hedging Bucket (15%) BND (Total Bond Market): 15% → Critical safeguard amid deflationary winter conditions. • Short-Duration Cash Equivalent Bucket (20%) BIL: 20% → Liquidity and ongoing yield, ready for rebalancing or emergency withdrawals. • Gold Hedge Bucket (20%) GLDM: 20% → Powerful portfolio hedge during Kondratiev winters and credit crises. Rationale for Weightings Equities plus dividend vehicles (45%) secure long-run compounding (consistent with the historical 10% annualized return of U.S. stocks), capped below 50% to limit bear-market damage. Bonds and short-duration debt (35%) supply defense and liquidity. The 20% gold allocation captures excess returns around Kondratiev turning points. Compared to the classic Permanent Portfolio, this mix tilts slightly toward equities to reflect the secular upward trend of U.S. markets while retaining negative-correlation protection. Expected maximum drawdown: 15–25% (far below all-equity portfolios). Target annualized return: 7.5–9% including reinvested dividends. Adjustment Guidelines • Investors under 40: Raise the equity bucket to 45%, cut gold and short-duration bonds to 15%. • Investors over 60 nearing retirement: Reduce equities to 30%, lift combined bond and short-duration exposure to 40%. • Current regime (2026, Kondratiev winter transition): Temporarily add 5% extra weight to gold and BIL; revert to baseline allocations once recovery signals emerge. IV. Implementation Rules: Purchases, Holdings, Rebalancing & Tax Considerations 1. Account Setup & Position Entry All ETFs trade on U.S. exchanges with deep liquidity and daily trading volumes in hundreds of millions of shares. Aggregate ongoing expenses fall below 0.1%, substantially cheaper than active mutual funds. Deploy initial capital via 12–24 month dollar-cost averaging (DCA) to mitigate timing risk. 2. Rebalancing Protocol Rebalance annually at year-end, or whenever any asset weight drifts more than 5% from targets (sell overweights, buy underweights). Platforms including M1 Finance and Portfolio Visualizer support automated or visual rebalancing. Compounding gains are amplified: negatively correlated assets mechanically enable buying low and selling high. 3. Portfolio Management Maintain core positions indefinitely; only deploy new capital for additional contributions. Enable automatic dividend reinvestment (DRIP). Monitor major Kondratiev inflection signals such as breakthrough technological innovation or depression indicators, yet avoid frequent tactical shifts — the strategic allocation already accounts for full-cycle scenarios. 4. Risks & Tax Notes Primary tail risk: synchronous declines across all asset classes (historically rare, observed briefly only during the 1970s stagflation). For Taiwan-based investors: A 30% withholding tax applies to U.S. equity dividends; partial relief is available by filing Form W-8BEN. The U.S. imposes no additional tax on long-term capital gains, though gains must be declared in Taiwan. Tax-advantaged accounts such as IRAs and 401(k)s are recommended; consult a tax professional. Gold and U.S. bonds provide partial hedging against inflation and TWD/USD exchange rate swings. 5. Backtesting Reference Portfolios built on Permanent Portfolio principles delivered roughly 8.5% annualized returns from 1972 to 2025 with a maximum drawdown of only -15%, vastly outperforming the S&P 500’s -50% worst drawdown. Integrating tech and dividend ETFs lifts returns marginally without eroding defensive characteristics. V. Closing Thoughts: One Lifelong Objective — Enable Capital to Compound Endlessly Across Cycles This portfolio rejects speculative trend-chasing. It embeds favored ETFs including VOO, VTI, QQQ and SCHD into an all-weather framework anchored by Kondratiev long-wave dynamics and multi-dimensional negative correlation. Whether amid AI-driven rallies in spring, dividend harvesting in summer, elevated volatility in autumn, or gold and bond outperformance in winter, your portfolio can compound steadily and generate passive income for retirement. Take action immediately: Open your U.S. brokerage account, establish positions according to the weightings above, and set an annual rebalancing reminder. From this point forward, you are no longer hostage to bull and bear swings — you become the steward of cycles.