Pick the Right Stocks

The broker always cuddles

2026-10-20T09:06:40.416-05:00

$WYFI $MU $AA $GFS and one more.

2026-10-16T11:55:31.382-05:00

My Top 5 bounce-back watchlist

Ranked from your October 16 screener, with current market context added. Prices below are your file's recorded closes, not live quotes.

1. MU

Momentum

$897.30

File close: $897.30 · 1 confirmation · FibExt 0.90

Improving relative strength is a positive signal, but the memory-chip selloff remains a risk. Micron was down about 3.9% on October 16 amid AI-sector concerns.

Reuters

Trigger: semiconductor stocks stabilize and MU regains short-term momentum.

2. AA

Best signals

$42.72

4 confirmations · FibExt 0.90 · 32.6% 20-day volatility

Your strongest confirmation count: positive 3-day and 5-day momentum, improving relative strength, and volume confirmation. Alcoa also gained 6.5% in Friday trading according to market coverage.

AP News

Trigger: consolidation after the surge rather than chasing a gap up.

3. GFS

$47.72

2 confirmations · FibExt 0.68 · 39.0% volatility

The combination of short-term momentum and improving relative strength makes GFS a reasonable semiconductor recovery watch. Its lower FibExt than the most speculative names also makes it a less extreme technical setup by this metric.

Trigger: price holds support and relative strength improves against the chip sector.

4. AXTI

High risk

$52.88

0 confirmations · FibExt 2.72 · 102.3% volatility

A high-volatility speculative rebound candidate. Its elevated FibExt and lack of confirmations make it a watchlist name, not a confirmed reversal.

Trigger: a higher low, a reclaim of short-term resistance, and rising volume.

5. WYFI

Speculative

$11.86

0 confirmations · FibExt 4.55 · 71.3% volatility

The highest FibExt in your screener. That makes WYFI interesting for a high-risk watch, but it does not prove the stock is oversold or cheap. The absence of confirmation signals is a meaningful warning.

Trigger: a confirmed reversal with sustained buying volume before considering entry.

Phones Cost a Kidney. Your Wardrobe Costs a Coupon.

2026-10-15T09:44:17.623-05:00

https://medium.com/@venkyrao/phones-cost-a-kidney-your-wardrobe-costs-a-coupon-231372cc7e2e

Somewhere out there, a person is paying for their new phone in 36 monthly installments, longer than most relationships, gym memberships, and sourdough starters. That same person is walking out of TJ Maxx with three sweaters, a candle that smells like “Cedar & Regret,” and a throw pillow they did not need, for less than one month of that phone payment.

Welcome to the $AAPL and $TJX economy.

GFS: A hidden gem

2026-10-05T09:48:30.840-05:00

https://victor435591.substack.com/publish/posts/detail/218945295/share-center

Divvy stocks :04/18/2026

2026-04-18T19:05:00.001-05:00

$CM

$PNC

$TD

$CNI

$PLTR much to gain

2026-03-04T08:47:00.002-06:00

https://substack.com/home/post/p-189881283

Chinese New Year: Year of the Horse and the Stock Market: Horse years have been among the ..

2026-02-04T11:21:00.006-06:00

There’s no scientifically proven link between the Chinese zodiac (including the Year of the Horse) and stock market performance — markets are driven by economic data, corporate earnings, interest rates, geopolitics, and investor behavior, not astrology. That said, people do sometimes look at historical patterns and cultural narratives when thinking about market psychology. Here’s a clear breakdown:

📊 Historical “Zodiac-Year” Market Patterns

Some financial writers and popular articles have looked back at stock performance during past Chinese zodiac years — but these are correlations, not causation.

According to a CNBC analysis, historically Horse years have been among the weaker performers for major U.S. indexes (S&P 500 and Dow) going back to 1928. In that dataset, Horse years had relatively low average returns compared to other zodiac years.
A study of the Taiwan stock market shows that in the last ~50 years, Horse years tended to have the lowest average return among the 12 zodiac cycles.

These patterns are retrospective and not predictive — there’s no economic mechanism linking the zodiac to market returns.

🐎 What the Year of the Fire Horse Symbolizes (Culturally)

In Chinese astrology, the Horse sign (especially as a Fire Horse, as in 2026) carries symbolic traits that some investors like to reflect on metaphorically:

Energy and movement — a faster pace of life and action-oriented decisions.
Independence and initiative — readiness to take bold steps or start new ventures.
Intense change or volatility — some astrological interpretations suggest higher “energy,” which some people loosely liken to market swings (not actual financial volatility).

These are symbolic ideas, not economic indicators.

📉 Why Astrology Isn’t a Market Predictor

Here’s why you shouldn’t rely on zodiac symbolism for investing decisions:

1. Markets follow economic fundamentals

Stock prices reflect things like:

Corporate profits
Interest rates
Monetary and fiscal policy
Geopolitical events
Consumer and business confidence

Astrology doesn’t influence these drivers.

2. Historical zodiac correlations are inconsistent

Patterns change over time because markets evolve — different events happen in different years. What happened in one Horse year may not repeat decades later.

3. Risk management still matters

Even if a year feels energetic or bold in cultural lore, rational investing still requires diversification, long-term planning, and data-driven analysis.

🧠 A Practical Takeaway

Do not treat the Chinese zodiac as a financial forecast or trading signal.

SPY’s Dystopian Reckoning: AI Apocalypse Reshapes America’s Market

2026-02-03T13:06:00.017-06:00

SPY’s Dystopian Reckoning: AI Apocalypse Reshapes America’s Market

In the shadow of 2026’s AI-fueled cataclysm, the U.S. economy lies in ruins. Unfettered AI buildout obliterated 40% of jobs overnight—white-collar coders, drivers, analysts—all redundant. Legacy firms vaporized, supply chains snapped, and Uncle Sam’s $50 trillion debt debt-trap rendered bailouts impossible. The SPY index, once a bull-market beacon, now mirrors two nightmare futures: a hyper-AI oligarchy or a regulator-enforced traditional wasteland.

Path One: AI Overlords Rule

Picture a market where silicon barons feast on humanity’s scraps. Regulators, paralyzed by tech lobbying and export dependency, let AI titans consolidate. The S&P 500 shrinks to 200 survivors, 75% AI-choked.

New SPY Top 10 (AI Dominion Scenario)

Volatility reigns: 20% daily swings as AI bubbles inflate, then pop. SPY halves to $300/share before rebounding on global AI hegemony, mocking the starving masses below.

Path Two: Luddite Reversion

Or imagine the backlash: The SEC unleashes antitrust nukes, nationalizes hyperscalers, bans neural nets “for public safety.” Tech giants shatter; jobs return to factories and farms. SPY reverts to a 1970s dinosaur—stable, soul-crushing, diversified drudgery.

New SPY Top 10 (Traditional Zombie Scenario)

Sectors flip: industrials 30%, staples 25%, no tech above 5%. Returns limp at 3%, a “zombie index” for a barter-economy underclass.

The Fork Ahead

By 2027, SPY’s fate hinges on D.C.’s gamble—embrace AI feudalism or smash it for analog revival. Either way, the index that defined prosperity now epitomizes peril: a market for machines or a mausoleum for men. Investors, pick your poison

Top 10 companies with best margins : $MSFT $AAPL $GOOGL $BRK.B $V $MA $JPM $NVDA $META $XOM

2026-02-03T08:46:00.002-06:00

Top Fortune 500 companies known for high-margin, high-volume business models prioritize scalable, asset-light operations like software, payments, cloud services, or branded consumer goods, where gross margins often exceed 60-80% and net margins stay above 15-20% on massive revenue scales

These exemplars derive most revenue from high-margin core activities (e.g., licensing, subscriptions, transaction fees) rather than low-margin commodities.

$MSFT $AAPL $GOOGL $BRK.B $V $MA $JPM $NVDA $META $XOM

Eliminating America's $38 Trillion Debt: A Realistic 5-Step Blueprint

2026-01-29T11:47:00.004-06:00

Eliminating America's $38 Trillion Debt: A Realistic 5-Step Blueprint

The United States faces a staggering national debt exceeding $38 trillion, a burden growing faster than the economy in recent projections. With President Donald Trump, reelected in 2024 and now steering policy in 2026, fresh strategies emphasize growth and efficiency over austerity alone. This article outlines a practical 5-step approach, blending economic principles with actionable reforms to shrink debt-to-GDP ratios sustainably.[youtube][fortune]

Step 1: Ignite Explosive Economic Growth

Boost GDP growth above 3% annually through deregulation, energy dominance, and pro-business tax cuts. Trump's World Economic Forum speech highlighted tariffs and supply-side policies to outpace debt accumulation, potentially halving the debt-to-GDP ratio by 2034.[callan][youtube]

This step leverages America's innovative edge—think AI, quantum tech, and manufacturing resurgence—to generate trillions in organic revenue without tax hikes.

Step 2: Slash Waste and Fraud Ruthlessly

Eliminate inefficiencies in government spending, targeting $500 billion+ yearly in fraud across entitlements and contracts. Prioritize audits of programs like Medicare and defense procurement, echoing Ray Dalio's call for deficits under 3% of GDP via spending discipline.investopedia+1

Real-world example: Trump's prior term recovered billions from improper payments; scaling this delivers quick wins.

Step 3: Unlock Non-Tax Revenue Streams

Impose smart tariffs on adversaries while creating a U.S. sovereign wealth fund from oil royalties, spectrum auctions, and asset sales. This "Trump secret plan" variant avoids broad taxes, channeling surpluses directly to debt paydown.[youtube]

Combined with trade rebalancing, it could yield $200-300 billion annually, funding growth without squeezing households.

Step 4: Overhaul Entitlements for Longevity

Reform Social Security and Medicare—over 50% of the budget—via means-testing, raising eligibility ages, and premium adjustments. Bipartisan models from the Committee for a Responsible Federal Budget show this stabilizing mandatory spending by 2035.fortune+1

Phased implementation protects current retirees while ensuring solvency for future generations.

Step 5: Enforce Monetary Guardrails

Coordinate with the Federal Reserve for stable 2% inflation and controlled rates, avoiding debt monetization traps. This caps interest costs, now nearing $1 trillion yearly, and sets debt-to-GDP on a downward path below 100% by 2036.fortune+1

Why This Works Now

In January 2026, with recession risks looming and voter debt concerns peaking, this growth-first blueprint aligns incentives across parties. It sidesteps painful defaults or inflation spikes, prioritizing prosperity. Implementation demands political will, but early Trump signals suggest momentum.[pgpf][youtube]

Huge Upswing in $GOOG and $GOOGL expected: Target 380$

2026-01-27T08:57:00.001-06:00

1) Large Gemini AI uptake and revenue across business lines

2) Business 2 business tie ups and contracts

3) Quantum AI God moment.

Beat down stocks (slightly) but Excellent A+ upside potential

2026-01-27T07:36:00.002-06:00

$VLO – Valero Energy Corporation: Largest independent U.S. refiner; slightly beaten down from short-term refining margin compression and oil price swings, but A+ long-term upside via strong cash generation, industry-leading dividend, and potential benefit from sustained global energy demand.

$EL – The Estée Lauder Companies Inc.: Premium beauty giant; pressured by softer luxury spending, Asia-Pacific slowdown, and inventory adjustments, yet excellent recovery potential from brand strength, e-commerce growth, and emerging-market consumer rebound.

$RHHBY – Roche Holding AG (ADR): Global pharma & diagnostics leader; undervalued amid patent expirations and competitive pressures, but outstanding long-term upside from deep oncology/immunology pipeline, innovative diagnostics, and steady dividend growth.

$PSX – Phillips 66: Diversified energy midstream/refining player; currently soft on volatile crack spreads and sector rotation, but compelling long-term case through integrated operations, high shareholder returns (dividend + buybacks), and exposure to energy infrastructure needs.

$DW – Drew Industries (historical ticker reference, now associated with LCI Industries
components): Manufacturer of RV, marine, and industrial parts; beaten down by cyclical slowdown in recreational/housing markets, but strong upside as leisure travel and manufactured housing recover over time.

$UPWK – Upwork Inc.: Leading freelance talent marketplace; pulled back by economic caution reducing corporate freelance spend, yet A+ long-term potential from secular gig/remote-work trends, platform network effects, and AI-driven matching enhancements.These are positioned as long-term holds with attractive risk/reward for patient investors. Always do your own research and consider current market conditions.
Thanks

8 best-stocks-to-buy-according-to-billionaire Bill Ackman

2026-01-25T18:52:00.001-06:00

Bill Ackman’s Pershing Square Holdings favors these top 8 stocks from its Q3 2025 13F filings, ranked by equity stake size.

Stock Tickers

• $HLT

• $CMG

• $AMZN

• $QSR

• $GOOGL

• $HHH

• $BN

• $UBER

Key Summary

Pershing Square achieved over 20% returns in 2025, beating the S&P 500 by 14%, fueled by value picks in tech giants and select others amid Fed rate cuts.

Ackman anticipates no further rate cuts in 2026, with inflation likely settling at 2.5-3%, yet views President Trump’s pro-business policies as a market tailwind.

Selections reflect strong hedge fund interest (e.g., 332 holders for $AMZN) and recent analyst upgrades, like buybacks for $HLT and AI-driven growth for $GOOGL.

Wharton is Special.: $TSLA , $ORCL and $BLK and more..

2026-01-22T09:12:00.019-06:00

Wharton School earns its nickname as "the school that thinks while others execute" due to its rigorous emphasis on strategic theory, financial modeling, and intellectual frameworks over immediate operational tactics.

Origin of the Phrase : The phrase contrasts Wharton's analytical, big-picture approach—honed through case studies in economics and leadership—with more hands-on schools like Harvard Business School or Stanford GSB, which prioritize execution skills.

Google Connection : Elon Musk, a Wharton undergrad (briefly, before transferring), credits its quantitative rigor for shaping his first-principles thinking at Zip2 and PayPal precursors to Google's ecosystem via early web standards.

Safra Catz : Safra Catz (Wharton BS/JD) as Oracle CEO exemplifies this: she orchestrated 130+ acquisitions totaling $43B+, including PeopleSoft and Sun Microsystems, applying Wharton's M&A frameworks to consolidate enterprise software theoretically before executing flawlessly.

Stephen Schwarzman : Blackstone co-founder Stephen Schwarzman (Wharton MBA) built a $1T+ asset empire by theorizing leveraged buyouts academically—pioneering models still taught there—while rivals executed smaller deals.

Elon Musk : Musk's Wharton foundation informed Tesla's ($TSLA) battery economics models and SpaceX's reusable rocket simulations, prioritizing long-term physics-based strategies over short-term production ramps.

A crash is coming

2026-01-19T16:54:00.005-06:00

Inspired by: https://engelsbergideas.com/essays/a-crash-is-coming/

Warns of impending economic bubbles fueled by AI investment exuberance, reckless non-bank private credit expansion, soaring sovereign debt, and speculative assets like digital currencies, potentially bursting under pressures like policy shocks or rising interest rates.
These bubbles, larger and more intertwined than past ones (e.g., Dot.com or 2008 housing crisis), penetrate the real economy deeply, risking widespread credit disruption and losses equivalent to major economies' GDPs.
A burst could lead to a severe recession unless met with swift, effective policy responses like rate cuts and stimulus, but poor leadership might exacerbate denial and blame-shifting.
Ultimately, the crisis may end populist policies, reshape alliances, and transform the geopolitical landscape amid eroded US institutions and fiscal damage from current administrations.
Thank for reading.

Greenland: CFA is not a bad option

2026-01-19T11:54:00.030-06:00

A goodwill gesture of handing over the territory of Greenland, at a reasonable tag, should not hurt

All this keeping the global bohomie in mind. The least option could be a CFA - Compact of free association

The United States shoulders about two-thirds of NATO's total military spending—$967 billion out of $1.47 trillion alliance-wide in 2024—while the other 31 members combined mustered just $503 billion, less than what America spends alone. This stark dollar gap persists despite NATO's tiny common budgets of €3.5 billion yearly, where the U.S. pays only 16%, matching Germany's share.[1][2][3][4]

Even relative to GDP, America's 3.4% commitment outpaces most allies' 2% target (now met by 23 nations), but Poland's $31 billion (4.1% GDP) and the UK's $75 billion still pale beside the U.S. juggernaut that funds 68% of NATO's collective might.[5][6]

$USAR, $IPX, $IE, $VZLA, $CMP, $CTGO, $SSRM, $FSM, $NB, $PALAF

Compact of Free Association

Some have suggested a compromise could see Greenland forming something called a Compact of Free Association with the United States.
Professor Rothwell said a Compact of Free Association was one of a number of forms of legal and constitutional arrangements the US had with territories known as "insular areas".
"That's important because it needs to be noted that there are already existing models that could be applied under US law, of which one is the Compact of Free Association," he said.

Under Compacts of Free Association, the Federated States of Micronesia (FSM), Republic of the Marshall Islands (RMI), and Republic of Palau all have their own governments but the US has responsibility for their defence and foreign affairs.

Sources
[1] How much is each NATO country spending on its military in 2024? https://www.aljazeera.com/news/2024/7/11/how-much-does-each-nato-country-spend-in-2024
[2] Global military spending surges amid war, rising tensions https://www.sipri.org/media/press-release/2024/global-military-spending-surges-amid-war-rising-tensions-and-insecurity
[3] US contributes 16% of NATO annual budget, not two-thirds | Reuters https://www.reuters.com/fact-check/us-contributes-16-nato-annual-budget-not-two-thirds-2024-05-31/
[4] Funding NATO https://www.nato.int/en/what-we-do/introduction-to-nato/funding-nato
[5] NATO Spending by Country 2026 - World Population Review https://worldpopulationreview.com/country-rankings/nato-spending-by-country
[6] NATO defense spending by country 2025 - Statista https://www.statista.com/statistics/584088/defense-expenditures-of-nato-countries/

Goldman Sachs has upgraded its price target for Microsoft stock to $655

2026-01-19T06:26:00.005-06:00

Goldman Sachs has upgraded its price target for Microsoft stock to $655 from $630, maintaining a Buy rating ahead of the company's earnings report on January 28, 2026.

This new target implies a potential 37% upside from current prices, making it the most bullish among major analysts, surpassing Morgan Stanley's $650 target.

The optimism stems from Microsoft's long-term potential in AI, particularly through Copilot and AI agents, which are expected to drive growth in Azure and other services. However, conditions include navigating economic uncertainties and tariff impacts, with AI monetization seen as a key transformational opportunity despite short-term risks.

https://www.msn.com/en-us/money/savingandinvesting/goldman-sachs-rips-up-its-microsoft-target-price-ahead-of-earnings/ar-AA1UsV3b?ocid=finance-verthp-feeds

GPT can amplify the Dunning–Kruger effect

2026-01-18T18:21:00.001-06:00

GPT can amplify the Dunning–Kruger effect by making both the model and its users more confident than is warranted, especially when neither truly recognizes the limits of their knowledge. The combination of fluent, confident-sounding text and users’ tendency to “offload” thinking onto AI creates a situation where people feel more expert than they actually are after using GPT.[neurosciencenews]

How GPT itself behaves

Large language models systematically overestimate the probability that their answers are correct, often by 20–60 percentage points across diverse questions, showing a strong overconfidence pattern analogous to Dunning–Kruger.[arxiv]
More capable models (with higher accuracy) often show an even steeper “confidence gradient”: they are extremely confident even when wrong, which resembles the effect’s core idea of miscalibrated self-assessment at the system level.[arxiv]

How GPT changes user psychology

Experimental work with ChatGPT shows that when people solve tasks with AI help, they improve their objective performance but become much worse at judging how well they actually did, generally overestimating their performance.[aalto]
This applies across skill levels, and AI-literate users sometimes miscalibrate the most, suggesting that familiarity with GPT can breed extra confidence without a matching improvement in metacognitive accuracy.[neurosciencenews]

Cognitive offloading and “illusion of understanding”

Users frequently ask GPT a single question per problem and accept the first answer without probing, a pattern described as cognitive offloading, where people outsource reasoning instead of critically evaluating outputs.[futurism]
Because GPT’s language is fluent and authoritative, it creates an “illusion of understanding” and “illusion of authority,” making users feel like they understand or have checked something thoroughly when they have mostly just read a plausible narrative.[pmc.ncbi.nlm.nih]

When GPT strengthens Dunning–Kruger dynamics

In domains like health, law, or finance, people with limited domain knowledge can rapidly produce sophisticated-sounding text with GPT, which may reinforce a belief that they understand complex topics well enough to act or advise others.[mitchthelawyer.substack]
In such settings, model hallucinations—confidently stated but false information—can be accepted as fact, especially where digital literacy is low and traditional misinformation is already common, further inflating misplaced confidence.[blog.biocomm]

How to reduce the amplification

Encourage users to treat GPT as a drafting and exploration tool rather than an authority: cross-check with trusted primary sources, especially for high-stakes decisions.[pmc.ncbi.nlm.nih]
Interface designs that surface uncertainty, ask users to consider alternative answers, or prompt explicit verification (e.g., “What evidence would confirm this?”) can help restore metacognition and partially counter Dunning–Kruger-like overconfidence.[aalto]

Democrats and the Economy: Debunking Myths, Examining Priorities, and Business Leaders' Critiques

2026-01-08T09:53:00.008-06:00

Democrats and the Economy: Debunking Myths, Examining Priorities, and Business Leaders' Critiques

The perception that Democrats consistently mishandle the economy, prioritize social issues over fiscal growth, and foster an anti-business environment is a staple of political rhetoric, particularly from conservative circles. This view paints Democrats as idealistic spenders who favor welfare programs, regulations, and progressive social agendas at the expense of prosperity and entrepreneurship. However, a deep dive into historical data, public opinion polls, and economic indicators reveals a more nuanced picture: while Democrats do emphasize social equity, empirical evidence often shows stronger economic performance under their leadership. Yet, lingering perceptions of being "not business friendly" persist, amplified by critiques from figures like JPMorgan Chase CEO Jamie Dimon. In this article, we'll combine data-driven analysis with these perspectives to validate or challenge the narrative, drawing on sources up to early 2026.Historical Economic Performance: Data Challenges the "Dems Get It Wrong" NarrativeContrary to the stereotype, long-term data indicates that the U.S. economy has historically performed better under Democratic presidents across key metrics like GDP growth, job creation, and unemployment reduction. This pattern holds even when accounting for factors like congressional control or global events.

GDP Growth: Since 1948, real GDP has grown at an average annual rate of 4.1% under Democratic administrations, compared to 2.7% under Republicans. A broader analysis from 1930 to 2015 by economists Alan Blinder and Mark Watson shows an even wider gap: 4.9% under Democrats versus 1.7% under Republicans. Post-WWII data from the Joint Economic Committee reinforces this, with 4.3% growth under Democrats and 2.5% under Republicans. Even from 1947 to 2013, GDP averaged 3.33% overall but surged to 4.33% under Democrats and dipped to 2.54% under Republicans. Updated through 2024, the Economic Policy Institute (EPI) reports GDP growth 1.2 percentage points faster under Democrats (3.79% vs. 2.60%).
Job Creation and Unemployment: Job growth has averaged 2.6% annually under Democrats since 1948, more than double the 1.2% under Republicans. Since the early 1980s, the U.S. added 50 million jobs under Democratic presidencies versus just 17 million under Republicans. Unemployment rates have declined by about 1.2 percentage points on average during Democratic terms, while rising 0.4 points under Republicans. Four of the five presidents with the strongest job growth records since Truman were Democrats.
Recessions and Deficits: The economy has spent nearly 10 times as long in recession under Republican presidents since WWII (49 months vs. 5 months). Fiscal deficits in 2025 totaled $1.8 trillion, down slightly from 2024, but historical trends show Democrats often inheriting and reducing deficits left by Republicans.
Stock Market and Broader Indicators: The S&P 500 has returned about 11% annualized under Democrats from 1929 to 2016, versus 2% under Republicans. Recent 2025 data from Saxo Bank highlights market impacts, with Democratic wins often boosting sectors like renewables while Republican policies favor energy and defense.

To illustrate these disparities, here's a comparative chart of average annual GDP and job growth rates under Democratic and Republican presidents (aggregated from post-WWII data via EPI, NBER, and Wikipedia sources):

espite these figures, public sentiment in late 2025 remained gloomy, with 73% of Democrats and 64% of independents reporting the economy "not working well" for them, per the Marist Poll. Gallup noted worsening economic views by year's end, with sharp partisan divides. Pew Research in October 2025 found 44% of Republicans rating the economy positively, up from April, while Democrats' views lagged, highlighting perception gaps.Social Focus: Prioritizing Equity Over Economy?Democrats are often accused of being overly socially focused, channeling resources into programs like healthcare reform, climate action, and social justice rather than pure economic stimulus. Data supports that Democrats do prioritize these areas, but it doesn't necessarily correlate with economic underperformance—in fact, social investments can drive long-term growth.

Policy Priorities: A 2025 Pew Research poll shows the economy as the top concern for 73% of Americans, but Democrats rank issues like climate change (59% priority), abortion (55%), and racial equity higher than Republicans (climate: 18%, abortion: 32%). The AP-NORC 2026 priorities poll lists economic issues first (e.g., inflation, jobs), but Democrats emphasize healthcare (45% top issue) and education (38%) more than Republicans.
Voter Perceptions: Gallup's "Most Important Problem" trends show the economy dominating (35% in 2025), with Democrats trusted more on social issues like abortion and LGBTQ rights (per NYT/Ipsos poll, where Americans believe these concern Democrats more than the economy). Working-class voters view Democrats as "woke" and "weak," per Politico research, prioritizing cultural issues over economic pragmatism. Young Democrats (under 35) prioritize economic issues but lean progressive on social matters, per Navigator Research.
Impact on Economy: Critics argue social spending inflates deficits, but EPI data links Democratic social policies (e.g., ACA, infrastructure) to sustained growth. Third Way's 2022 memo (still relevant in 2025 polls) notes an "economic trust gap" for Democrats, with voters trusting Republicans more on business and inflation despite data. A 2025 Elliott Morris analysis shows voters now trusting Democrats more on the economy post-2024, threatening Republicans in 2026 midterms.

The "Not Business Friendly" Perception: Validated by Data and Sentiment

The idea that Democrats are anti-business stems from policies like higher corporate taxes, stricter regulations, and labor protections. While data shows mixed trust levels, perceptions lean negative among business owners.

Business Owner Leanings: Stanford research in 2025 found small business owners—a key economic driver—leaning Republican, viewing Democrats as regulatory-heavy. The Axios Harris Poll 100 shows more companies perceived as "liberal" in 2024-2025, with Democrats trusting business more than Republicans for the first time (per Edelman Trust Barometer).
Public and Corporate Views: A 2024 PPSI poll (echoed in 2025) found consumers supporting business action on democracy, but Gallup shows Americans wanting businesses to stay quiet on policy (60% in 2024-2025). Progressive Economics poll in 2025 reveals nearly 2/3 of Democrats wanting bolder anti-corporate measures, widening the "populist" divide. PAC.org data questions if Democrats are more pro-business on social issues, but overall perception favors Republicans on free enterprise.
Trust Metrics: Pew's 2019 trust study (updated in CloudResearch/Siena 2025) shows low overall confidence in institutions, with Democrats more skeptical of big business (45% distrust in 2025).

Jamie Dimon's Critique: A Business Icon's Take on DemocratsJamie Dimon, JPMorgan Chase's CEO and a former Democrat supporter (donating mainly to Democrats from 1989-2009), exemplifies the business community's frustration. In July 2025, at a Dublin event, Dimon called many Democrats "idiots" with "big hearts and little brains," arguing they "do not understand how the real world works" and that "almost every single policy rolled out failed." He criticized the party's overemphasis on DEI, saying Democrats "overdid DEI" and should "stop it" to be "more practical" instead of "very ideological." Dimon targeted progressive policies like rent freezes and city-run grocery stores as "ideological mush," and labeled NYC mayoral candidate Zohran Mamdani "more of a Marxist than a socialist." He lamented the Biden administration's lack of business advisors, noting "not one business person" and a "lack of knowledge." Earlier in 2024, Dimon urged Democrats to respect "MAGA" supporters and avoid demonizing them. Describing himself as "barely a Democrat" with a "Democratic heart but Republican brain," Dimon's comments in 2025 (no major updates by early 2026) underscore the perception that Democrats have shifted toward anti-business populism. Conclusion: Perception vs. RealityWhile data overwhelmingly shows superior economic outcomes under Democrats, the party's social focus and regulatory stance fuel perceptions of being out-of-touch with business realities. Dimon's blunt critiques highlight this tension, resonating with those who see ideology trumping pragmatism. As of early 2026, with economic pessimism persisting (per Gallup and Marist), Democrats face a challenge: bridging data-driven successes with voter and business sentiments to dispel the myth. Ultimately, the narrative is validated in perception but often refuted by numbers—proving economics is as much about optics.

$PL: A Deep Dive

2026-01-08T08:42:00.005-06:00

What is $PL?

Planet Labs PBC ($PL) operates the world's largest fleet of Earth-imaging satellites (over 200 active), capturing daily high-frequency imagery of the entire planet's landmass. They deliver geospatial data, analytics, and AI-powered insights to governments, defense agencies, agriculture, forestry, energy, and more—making global change visible and actionable.
Why consider it now?
Explosive growth momentum: Q3 FY2026 revenue hit a record $81.3M (+33% YoY), with defense/intelligence up 70%+. Massive contract wins (e.g., multi-year deals with NGA, NATO allies, German government) drove backlog to $734M (+216% YoY) and RPO to $672M (+361% YoY). Raised FY2026 guidance to $297-301M revenue, turning adjusted EBITDA positive. Stock at ~$22.61 with analyst targets averaging ~$18-19 (some up to $22), reflecting strong demand for satellite data in AI, defense, and climate monitoring.
How to approach?
Growth play in space tech/geospatial AI with recurring revenue (97% ACV recurring) and path to profitability/free cash flow. Watch upcoming earnings (Q4 FY2026 in March) for continued contract execution and Pelican high-res rollout. High upside if defense/commercial adoption accelerates, but volatile sector. NFA, DYOR. #PL #SpaceTech #Investing
https://finance.yahoo.com/news/planet-labs-pbc-pl-among-161131237.htmlVLEO <==

Covered calls or futures make sense, rest is just academic gratification.

2026-01-06T06:29:12.447-06:00

Outside of covered calls and straightforward futures, most options trading systematically transfers money from undercapitalized retail to well‑capitalized, hedged professionals because of leverage, complexity, and hidden frictions.[1][2][3][4]

Structural problems with “naked” options

- Buying naked calls/puts is a negative‑expectancy game for most traders because implied volatility and bid‑ask spreads mean you overpay versus realized moves on average.[3][5]

- Selling naked options has theoretically unlimited (or very large) downside and tends to earn small, frequent gains punctuated by rare but devastating losses that wipe out months or years of profits.[4][1]

Multi‑leg “complex” strategies

- Spreads, butterflies, calendars, and condors reduce some tail risk but introduce layers of Greeks and path dependency that many retail traders mismanage.[2][5]

- Academic work on complex options shows retail traders lose heavily even over 1–3 day windows, with average losses above 15% around events like earnings because of leverage and “shrouded risks.”[2][3]

Frictions: costs, slippage, microstructure

- Retail pays wide percentage spreads in options (typical half‑spreads around 8%), which creates a constant drag even when the directional call is right.[3]

- Market makers and wholesalers systematically profit from retail order flow in options; one study estimates retail lost over 4 billion dollars over 2019–2021 after trading costs, while wholesalers captured substantial profits.[3]

Behavioural and risk‑management failures

- Around 85–90% of retail options traders lose money over time, largely due to overconfidence, oversizing, revenge trading, and ignoring cumulative drawdowns.[1][4]

- Prop‑style stats show similar patterns: over 90% fail evaluations, mainly from poor risk management, emotional decisions, and over‑leveraging despite having access to “working” strategies.[6][7]

What is actually defensible

- Strategies that embed options inside a broader portfolio and use them strictly as **hedges** (protective puts, collars) or modest income enhancers (conservative covered calls) can make sense when sized small and rules‑based.[8][5][4]

- Consistent risk caps (e.g., 0.5–1% per trade), strict loss limits, and viewing options as risk‑transfer tools rather than lottery tickets are essential if choosing to do anything beyond covered calls and linear futures.[9][7][8]

Sources

[1] Options Trading Risks: Why Most F&O Traders Lose Money https://www.dozendiamonds.com/options-trading-risks-retail-investors/

[2] Retail investors play a losing game with complex options, according ... https://warrington.ufl.edu/news/retail-investors-play-a-losing-game-with-complex-options-according-to-research/

[3] Retail Options Trading Is Increasing the Volatility of Securities https://www.wealthmanagement.com/equities/retail-options-trading-is-increasing-the-volatility-of-securities

[4] Risks of Options - Bloom https://www.bloomapp.com/learn/lesson/529/

[5] Understanding Options Trading Strategies and How They Work https://rjofutures.rjobrien.com/rjo-university/understanding-options-trading-strategies

[6] Prop Firm Challenges Failure Rate: Why 94% of Traders Fail https://blog.pickmytrade.trade/prop-firm-challenges-failure-rate/

[7] Why 90% of Retail Traders Fail Even with Profitable Trading Strategies https://acy.com/en/market-news/education/reasons-retail-traders-fail-profitable-trading-j-o-194343/

[8] 5 Stock Options Data Strategies for Managing Risk in Trading - Intrinio https://intrinio.com/blog/risk-management-in-options-trading

[9] Basic Guide to Trade Options Intraday: Strategies and Risk ... https://www.interactivebrokers.com/campus/ibkr-quant-news/basic-guide-to-trade-options-intraday-strategies-and-risk-management/

[10] [PDF] Retail Traders in Futures Markets https://www.cftc.gov/sites/default/files/2024-11/Retail_Traders_Futures_V2_new_ada.pdf

Jack Dorsey. heard the name ?

2026-01-05T13:50:00.003-06:00

Jack Dorsey, born November 19, 1976, in St. Louis, Missouri, is an American entrepreneur and software developer best known as co-founder of Twitter and Block (formerly Square). Raised Catholic with an early interest in dispatch software and programming, he dropped out of New York University to pursue tech ventures in Oakland, California.

Early career and Twitter

Dorsey developed web-based dispatching for taxis and couriers in 2000, which inspired his idea for a real-time status-sharing service. In 2006, he teamed with Evan Williams, Biz Stone, and Noah Glass at Odeo to launch Twitter, posting the first tweet (“just setting up my twttr”) on March 21. He served as Twitter’s first CEO (2007–2008), then chairman, returning as CEO from 2015 to 2021 when he resigned, succeeded by Parag Agrawal.

Block (Square) and later ventures

Dorsey co-founded Square in 2009 with Jim McKelvey, creating a mobile payment platform that revolutionized small-business transactions; it went public in 2015 and rebranded to Block in 2021. Post-Twitter, he backed decentralized social projects like Bluesky (joined board 2022, left 2024) and Nostr, donating millions via his #startsmall fund.

Personal style and impact

Known for ascetic habits, tattoos (including a clavicle-inspired one), and advocacy for Bitcoin and wellness, Dorsey built two multi-billion-dollar companies shaping communication and fintech.

Amazing guy !!

$GOOGL / $GOOG Alphabet to $1000

2025-12-30T11:19:00.002-06:00

Alphabet (Google’s parent) trades a little over $300 today, so talking about it as a $1,000 stock in 2026 is necessarily a **scenario**, not a forecast For Alphabet to triple within roughly a year, several powerful forces would likely have to align at once: AI monetization, cloud gains, margin expansion, and multiple expansion.

Starting point: where Google is now

Alphabet currently trades near $315 with a market cap of about $3.8 trillion and a price‑to‑earnings ratio around 31, reflecting solid growth expectations already priced in. The core businesses—Search, YouTube, Cloud, and a growing AI stack—generate strong free cash flow and have been rewarded with a steady re‑rating in recent years.

What a $1,000 price implies

A move from roughly $315 to $1,000 would imply more than a 3x in the share price and, absent massive buybacks or a split, a similar move in market cap. That would place Alphabet well above today’s largest market‑cap peers, requiring either:

Very high earnings growth** (for example, more than doubling EPS) while maintaining or expanding its ~31x multiple.

- Or significant multiple expansion** to perhaps 50–60x earnings if EPS grows more modestly, which would demand unusually strong investor conviction about the durability of Alphabet’s AI and cloud economics.

The bullish narrative that could support $1,000

A “$1,000 in 2026” story might rest on three pillars:

- AI as a profit engine, not a cost center

If Google’s Gemini and related tools become deeply integrated into Search, Workspace, YouTube, and Android, they could drive higher ad yields, premium subscriptions, and enterprise AI platform revenue, all at scale.[1] This would support rapid top‑line growth and operating leverage.

- Cloud and infrastructure dominance

Google Cloud is already one of the top hyperscalers, and if it captures a disproportionate share of AI training and inference workloads, its high‑margin services could materially boost consolidated earnings.Coupled with disciplined capex and efficiency gains, this could justify both higher EPS and a premium multiple.

- Capital returns and sentiment

Aggressive buybacks shrink the share count, magnifying EPS growth, while a persistent narrative that Alphabet is the “default AI platform” could drive investors to pay more for each dollar of earnings. In such an environment, a valuation re‑rating to “AI utility” status becomes plausible.

The risks and realism check

For all of this to happen by 2026, Alphabet would need to **out‑execute and out‑monetize** nearly every major competitor in AI and cloud, while macro conditions and regulation remain broadly supportive. There are real headwinds: antitrust scrutiny, AI compute costs, competitive pressure from other tech giants, and the possibility that AI monetization ramps slower than hoped. Any of these could cap the multiple or compress margins, limiting upside even if revenue grows strongly.

In short, a $1,000 Alphabet in 2026 describes an extremely bullish scenario where AI and cloud transform Google from a dominant ad company into a global “AI infrastructure and application utility,” and where investors are willing to pay richly for that status. It is an interesting thought experiment—but not a baseline expectation.

### Building a Low-Cost, Low-Anxiety Dividend Portfolio for $10,000 Monthly Income

2025-12-11T20:53:00.001-06:00

### Building a Low-Cost, Low-Anxiety Dividend Portfolio for $10,000 Monthly Income

Based on the article you linked, constructing a portfolio to generate $10,000 per month ($120,000 annually) in dividends requires significant capital—potentially $3 million or more under a conservative 4% yield rule to minimize anxiety from volatility or dividend cuts. The piece emphasizes low-cost ETFs for diversification, sticking to yields around 4% (or slightly higher if tolerated), and avoiding over-reliance on ultra-high-yield options that could amplify risk. It highlights three monthly-paying ETFs as examples for a defensive mix:

- **JPMorgan Nasdaq Equity Premium Income ETF (JEPQ)**: A covered-call strategy on Nasdaq stocks for high income (yield: 11.52%), but with variance from option premiums. Expense ratio: 0.35%.

- **Global X SuperDividend U.S. ETF (DIV)**: Focuses on high-dividend U.S. companies for steady payouts (yield: 7.19%). Expense ratio: 0.45%.

- **Vanguard Real Estate ETF (VNQ)**: Tracks U.S. REITs for real estate exposure and stability (yield: 3.54%). Expense ratio: 0.12%.

These ETFs are low-cost (all under 0.50% fees), diversified, and pay monthly dividends, aligning with the article's advice for reduced anxiety through broad exposure rather than individual stock picking. The article doesn't specify exact allocations, so I've proposed a balanced, low-anxiety version below: 30% JEPQ (for yield boost), 40% DIV (core dividend stability), and 30% VNQ (defensive real estate ballast). This tilts toward safety while incorporating all three recommendations, targeting a blended yield of ~7.42% (calculated as 0.30 × 11.52% + 0.40 × 7.19% + 0.30 × 3.54%).

#### Key Portfolio Metrics

- **Blended Annual Yield**: 7.42% (higher than the 4% rule but diversified to buffer risks like option premium drops in JEPQ).

- **Required Total Investment**: ~$1.62 million (to generate $120,000 annually; $120,000 ÷ 0.0742). This is less than the $3 million for a pure 4% portfolio but still substantial—adjust based on your risk tolerance and other income (e.g., Social Security).

- **Expected Monthly Income**: $10,000 (pre-tax; actual payouts may vary slightly with market conditions).

- **Why Low Anxiety?** Diversification across equities, high-dividend stocks, and REITs reduces single-sector risk. All pay monthly for steady cash flow, and low fees preserve returns. Rebalance annually to maintain weights.

- **Risks to Note**: Yields aren't guaranteed (e.g., JEPQ could dip in bull markets); REITs like VNQ are interest-rate sensitive. Consult a financial advisor for personalization, taxes, and inflation adjustments.

#### Proposed Allocation

Assuming a $1.62 million total investment, here's the breakdown:

|------------|----------------|-----------------|---------------------------|---------------------------|-------------|

| JEPQ | 30% | $486,000 | $55,987 | $4,666 | High-yield Nasdaq covered calls for income enhancement. |

| DIV | 40% | $648,000 | $46,591 | $3,883 | Broad U.S. high-dividend stocks for reliable core income. |

| VNQ | 30% | $486,000 | $17,212 | $1,451 | Diversified REITs for real estate stability and inflation hedge. |

| **Total** | **100%** | **$1.62M** | **$120,000** | **$10,000** | Blended yield: 7.42%. |

#### How to Implement

1. **Open a Brokerage Account**: Use a low-fee platform like Vanguard, Fidelity, or Schwab (no commissions on ETFs).

2. **Buy the ETFs**: Purchase shares based on current prices (e.g., JEPQ ~$55/share, DIV ~$18/share, VNQ ~$90/share as of article date—verify live quotes).

3. **Set Up Dividend Reinvestment (Optional)**: Initially reinvest to compound; switch to cash payouts once at target income.

4. **Monitor and Adjust**: Review quarterly for yield changes or economic shifts. If anxiety rises, shift more to VNQ for a lower ~5% blended yield (requiring ~$2.4M capital).

5. **Tax Considerations**: Hold in a Roth IRA or taxable account; qualified dividends get favorable rates, but REITs (VNQ) are taxed as ordinary income.

This setup follows the article's guidance for a "relatively defensive" approach without high fees or complexity.<grok:render card_id="219c57" card_type="citation_card" type="render_inline_citation">

</grok:render> If you have a specific total investment amount or risk preferences, I can refine this further!

The Truth About Selling Daily SPY & XSP Puts for Small Gains

2025-12-05T09:17:11.653-06:00

The Truth About Selling Daily SPY & XSP Puts for Small Gains

Is It a Smart Strategy or Just Picking Up Pennies in Front of a Steamroller?

Published December 5, 2025If you spend any time in options trading forums or Discord servers, you’ll see the same story repeated hundreds of times:“I sell 0DTE or 1DTE puts on SPY or XSP every day, collect $20–$80 premium, close for 50–70 % profit the same day or next morning, and repeat. I’ve been doing this for months and it prints money. Am I an idiot?”The short answer: No, you’re not an idiot.
You’re running one of the most popular retail short-volatility strategies in existence today. Professional trading desks, prop firms, and systematic funds have been doing variations of this for decades.But popularity ≠ safety.This article breaks down exactly what you’re doing, why it feels so good, where the danger hides, and how to tell if your version is likely to survive the next market crash.What the Strategy Actually Is

Instrument: SPY (S&P 500 ETF) or XSP (mini-S&P 500 index options, 1/10th size, cash-settled, 60/40 tax treatment)
Expiration: Usually 0DTE (same-day) or 1DTE
Strike selection: Typically 5–20 delta puts (roughly 1–4 % out-of-the-money)
Trade management: Close for 50–80 % of credit received, often same day
Frequency: Daily or near-daily

In plain English: You are systematically short gamma and short vega while being long theta. You make money from time decay and small upward/drift moves, but you lose big on sharp downward moves.Historical Performance Reality CheckMultiple independent studies and backtests show the same pattern:

Period	Strategy (daily short ~10-delta SPX puts, close at 50 % profit)	Compound Annual Return	Max Drawdown	Reference
2007–2024	Short strangle/straddle variants	~12–18 % CAGR	–60 % to –95 %	CBOE, tastytrade, ORATS
2010–2019 (low vol era)	Daily 0DTE short puts	~25–40 % CAGR	–35 % to –55 %	ProjectOption, SPX Option Trader
Mar 2020 (COVID crash)	Same strategy	–80 % to –120 % in 4 weeks		Multiple retail blow-up reports
Oct–Dec 2022	Daily short puts	–45 % to –70 %		Reddit r/thetagang archives

Key takeaway: The strategy produces spectacular risk-adjusted returns in quiet and upward-drifting markets and then gives almost everything back (or more) in a single violent sell-off.Why It Feels So Good (Until It Doesn’t)

Win rate 80–95 % – most days the market doesn’t drop 2–4 %
Small, frequent profits – dopamine hits every day
“I can always close early” – illusion of control
Survivorship bias – you mostly hear from the survivors on social media, not the ones who blew up last February

As Nassim Taleb famously said: “This strategy is like selling insurance on tranquilizers — you collect premiums peacefully until the day the hurricane hits and wipes you out.”Real-World Blow-Up Examples

February 5, 2018 “Volmageddon” – XIV and short-vol ETNs lost 95 % in one day; many retail short-strangle accounts lost 70–100 %
March 2020 – countless r/thetagang and r/options accounts posted 0’d out selling puts into the fastest 30 % drawdown in history
September 2022 – a milder 10 % correction still wiped out many daily sellers who were over-leveraged

How to Make This Strategy Survivable (If You Insist)If you refuse to quit (and many of us won’t), here are the non-negotiable rules used by the traders who have run this for 10+ years without blowing up:

Position size ≤ 3–5× expected daily theta
Never risk more than you collect in a typical week on any single trade.
Maximum portfolio risk per day ≤ 1–2 % of account
A 4 % SPX drop should hurt, not kill.
Hard stop-loss or hedge
Buy far-OTM puts (e.g., 5–8 % OTM weeklies) or use VIX calls as tail hedge (costs ~1–2 % per month but saves your life).
Reduce size dramatically when VIX > 20–22
Implied vol is the only reliable predictor of future realized vol.
Prefer XSP over SPY for tax and assignment reasons
60/40 treatment + no early assignment risk.
Never, ever “average down” or turn it into a naked strangle when losing
That’s how small losses become account-ending ones.

Final VerdictSelling daily SPY/XSP puts and closing for small gains is a perfectly legitimate strategy that has made many traders very wealthy over long periods — but only the ones who treat it as a sophisticated insurance business, not a get-rich-quick scheme.If your account is small (< $50k) and you can’t survive a 50–70 % drawdown, walk away now.
If you have proper risk controls and can sleep through a 2020-style crash, then keep going — just keep worshipping at the altar of the Greek gods, especially Gamma and Vega, because one day they will demand their sacrifice.As one veteran trader put it:
“Theta is a generous god that pays daily interest… until it charges you compound interest in one day.”References & Further Reading

Israelov, R., & Nielsen, L. (2015). “Still Not Cheap: Portfolio Protection in Calm Markets.” AQR Capital Management.
Simon, D., & Campasano, J. (2020). “0DTE Options: The New Volatility Game.” CBOE Research Paper.
“The Impact of Short-Dated Options on Implied Volatility” – ORATS Research, 2024.
“Volatility Risk Premium Harvesting” – tastytrade Research Series, 2014–2024.
Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable.
Reddit r/thetagang archives (2018–2025) – real-world case studies of both success and catastrophic failure.

Stay green, respect the tails, and may Theta be forever in your favor.