Non-Consensus Investing. Founder of @lumidawealth. ex-Wall St. Markets and philosophy. NYC & Exeter alum. Dad of 3. Disproving the EMH one day at a time.
Cite asCryptoQuant has tracked the directional calls on NVDA by @ramahluwalia on X since Mar 2026: not yet scored on NVDA (as of Nov 11, 2026).
4 NVDA calls on record, a thin history.
Relative view by default: fewer than 30 NVDA calls or days on record.
Sentiment timeline shows relative sentiment within this analyst's history. A perma-bull showing 8 bullish : 2 bearish in a bear market sets that as their baseline. If you notice any errors, claim @ramahluwalia to submit corrections.
Hover the chart to read the thesis of that period · click a day to pin it
Three companies drive 45% of S&P earnings growth next year. Anthropic just ramped their revenue… Cloud businesses are high ROIC. Interestingly, some of the leading Silicon Valley VCs are concerned about supply over-building just as East Coast money is warming up to the thesis. BTW, those three companies are $NVDA $MU and $AVGO
View original →Microsoft earnings: strong. AI is a rising tide not a share shift game. Hypothesis: This is 1995, not 1997. Adoption is still low. $MSFT $NVDA $TSM $MU $SKHY https://t.co/r0NKE7MiSW
View original →TODAY'S FSD NOTES: - Tuesday Check-In: Nobel Week, Midterms, and Banks (0:07) - Introducing "Experience Market Fit" (0:43) - What Bank Lending Tells You About the Economy (1:00) - The Fed Survey Worth Bookmarking (1:43) - The Midterm-Year Market Pattern (1:59) - The Four-Year Presidential Cycle (2:44) - What Happens the Year After Midterms (3:02) - Tax-Loss Harvesting Season (3:20) - A Date to Circle on Your Calendar (3:42) - Markets, Gridlock, and Policy Change (4:10) - Product Market Fit vs. Experience Market Fit (4:16) - Go-to-Market Fit and the Growth Flywheel (5:00) - The AI Personal Assistant Land Grab (5:33) - Revisiting the Alexandr Wang Interview (6:00) - What Do You Mean by "Product"? (6:12) - Meeting Customers in Their Channel (6:56) - Apple, Master of Experiences (7:19) - Apple Health Records (7:40) - VCs Still Talking Products (8:05) - Bank Earnings Report Card (8:19) - The Mortgage-Sensitive Banks (8:27) - Goldman Sachs and Volatility (8:55) - Should Goldman Team Up With a Commercial Bank? (9:30) - Lessons From Marcus and Domain Money (9:54) - Why Go-to-Market Is Hard (10:15) - Go-to-Market Velocity vs. Technical Velocity (10:29) - Anxious Consumers, Strong Numbers (10:48) - Grok Reads the Bank Earnings (11:17) - JPMorgan's Consumer Bank ROE (12:32) - Loan Growth vs. Defaults (13:05) - What VCs Should Learn From a Bank (13:50) - A Story From a Hotel Front Desk (14:35) - Willingness to Pay vs. Ability to Pay (15:40) - Lending Against Motorcycles (15:53) - Why "Creditas" Means Trust (16:12) - This Year's Economics Nobel and Rational Expectations (16:32) - Are We All Underestimating AI? (17:14) - Meta's New Model Goes After Claude (17:26) - Alexandr Wang and Meta's Puzzle Division (18:02) - Pitching Puzzles to Zuck (19:12) - Google Goes After Adobe and Higgsfield (19:50) - Is Nvidia the Sovereign AI Play? (20:26) - Nemotron and Nvidia's Naming Fun Fact (21:05) - Nvidia, Anthropic, and the Pentagon (22:48) - Jensen's Million-Token Dig at Google (24:06) - The Mag 7 Coming at Each Other (24:35) - Is Experience Market Fit a Moat? (24:48) - Agents vs. Computers (25:02) - What to Look For in the Anthropic S-1 (25:27) - Buffett on Adjusted EBITDA (26:22) - Adjusted EBITDA, Applied to Body Weight (26:57) - Skill as a Moat (27:20) - Michael Jordan, the Bulls, and Elon's Superpower (27:44) - Be So Good You Can't Be Ignored (28:18) - Higgsfield, Whisperflow, and Go-to-Market Skill (28:31) - The Age of Ultra Competition (29:25) - Why AI in Financial Services Is a Big Deal (29:42) - JPMorgan's Crown Jewel (30:19) - Why Wall Street Keeps Running to Wealth Management (30:33) - James Gorman's Morgan Stanley Playbook (30:52) - Running Morgan Stanley on Three Pieces of Paper (31:49) - McKinsey vs. Silicon Valley for Talent (32:08) - What Investment Bankers Actually Do (32:40) - JPMorgan's Edge in M&A Financing (33:41) - Sizing JPMorgan's Consumer Bank (34:51) - Triple-Triple-Double-Double vs. JPMorgan (35:47) - Can AI Chase That Opportunity? (36:01) - The Main Message on the Economy (36:21)
View original →AGENTS EATING THE WORLD How were you using AI one year ago in your day to day life? Unless you were a coder, I'll guess 'Not much.' Claude Cowork diffused into the general economy this year. Now try to imagine what life was like before AI. Now ask yourself how much would you pay to not have to go back to that old world. And, we're still in early innings. Google rolled out a new model that has on-demand video editing - by speking to it. Meta rolled out a new model that beats GPT and Anthropic on long-horizon coding and general reasoning. The consumer layer is next. Here's the sequence: 1. Toy AI Models (GPT 3) 2. Demand for inference / Compute (Nvidia, Coreweave, etc.) 3. Coding Tools: Cursor, Claude, Codex, Replit, Loveable. 4. Enterprise Vertical Apps: Harvey (Legal), Rogo (Finance) 5. General Consumer (Instinct, Granola, Muse) What's next? Specialized Consumer. The generalized models will not enter the regulatory perimeter, they will power specialized agentic experiences that own the licenses. What is specialized consumer? - Agentic wealth management - Agentic banking - Agentic creative - Agentic learning - Agentic legal ...
View original →Would Nvidia exist without Jensen? No. Would Google exist without Sergei? No. Would driverless cars, star link, grok bot and neural link exist without Elon? No. Were they all massive job and wealth creators for Americans? Yes. Would these companies somehow have been born ex nihilo without that Founder leadership? No. The easiest way for the US to main tech dominance is to attract and retain top talent. China, India and Europe envy the US ability to skim talent at will.
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