๐Ÿ›๏ธ US govt shutdown is about to end (probably)


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November 9, 2025 | Read Onlineโ€‹

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๐Ÿ‘‹ Hey there, Tech Fizz here.

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A few weeks ago we asked our readers what their favorite GenAI tool was. Here are the results:

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What we've got in this edition:

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  • ๐Ÿšจ Market News Highlights.
  • ๐Ÿ’ฌ AI Prompts. New prompt engineering framework unlocked.
  • ๐ŸŒŠ ETF Flow Analysis and ARKK Fund Trades. Which tech stocks are being bought and sold?

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MARKET RADAR

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๐Ÿค‘ Making it rain. Big Tech is expected to spend over $750B on AI capex in the next two years.

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๐ŸŒŠ October layoffs surge to 22-year high. Employers announced 153,000 job cuts last month, and total layoffs for 2025 have now exceeded 1 million.

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๐Ÿšจ Popular stock valuation method is flashing red. The Shiller Price-to-Earnings (P/E) ratio has recently surpassed 40 for only the second time in history.

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๐Ÿค– Potential Tesla-Intel partnership. Elon Musk is thinking about partnering with Intel to build a semiconductor fabrication plant to meet AI and robotics needs.

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๐Ÿ”ฎ Polymarket odds of different government shutdown scenarios.โ€‹

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EARNINGS

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Companies Reporting Earnings, Week of November 9th, 2025:

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AI PROMPTS

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๐Ÿ“‘ A research paper titled "Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity" was recently published by Stanford, Northeastern, and West Virginia University.

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Without going into too much detail, the paper essentially introduces the concept of Verbalized Sampling and how it can be used to generate multiple diverse responses to a single prompt.

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According to the researchers, this prompt engineering technique "unlocks" the AI model's full range of potential answers by:

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  • mitigating mode collapse (when the model produces a limited, repetitive set of outputs instead of a diverse range of possibilities)

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  • improving diversity and creativity without requiring model retraining.

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๐Ÿ’ก The takeaway: Instead of getting a single, often generic answer, you can get a distribution of options that reveal how the model "thinks".

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๐Ÿ‘‡ Let's see this prompt framework in action ๐Ÿ‘‡

โš™๏ธ Verbalized Sampling Prompt Method:

#CONTEXT:

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#GOAL:

Act as an experienced financial advisor. My goal is to hedge against economic uncertainty.

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#TASK:

Advise on how I should re-balance my portfolio or what alternative assets I should acquire during a prolonged government shutdown, deteriorating labor market, and unaffordable housing market.

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๐Ÿ“ค Sample Output:

Response #1:

During periods of economic uncertainty like a prolonged government shutdown and weakening labor market, consider increasing your allocation to **short-duration Treasury bonds** and **TIPS (Treasury Inflation-Protected Securities)**. These provide safety, liquidity, and inflation hedging. Reduce exposure to cyclical equities and high-yield debt which may underperform.

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Response #2:

Rebalance your portfolio to include **precious metals**, especially **gold and silver ETFs**, which historically act as safe havens during political and fiscal instability. They're particularly useful when confidence in government functioning erodes.

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Response #3:

Consider allocating 5-10% of your portfolio to **real assets** like **farmland REITs** or **infrastructure funds**. These provide income and inflation protection while being less correlated to traditional equity markets, which is important when the housing market is unaffordable and under stress.

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Response #4:

Reduce overexposure to real estate and mortgage-backed assets. In an unaffordable housing market, these instruments can underperform. Replace with **defensive sector stocks** like healthcare, utilities, and consumer staples which maintain earnings even in downturns.

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Response #5:

Add exposure to **global macro hedge funds** or **multi-strategy funds** that thrive on volatility and policy-driven dislocations. These can dynamically adjust exposures and protect capital when traditional assets are under pressure due to U.S. fiscal gridlock or labor shocks.

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SMART MONEY TRACKER

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ETF flow analysis for week of Nov 3, 2025:

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๐Ÿ›ข๏ธ $XLE - Energy Fund: +$427.6M inflow

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๐Ÿ—๏ธ $XLI - Industrials Fund: -$62.8M outflow

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๐Ÿ’ป $XLK - Tech Fund: -$93.4M outflow

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๐Ÿฅ $XLV - Healthcare Fund: -$114.3M outflow

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โšก๏ธ $XLU - Utilities Fund: -$142.7M outflow

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๐Ÿ  $XLRE - Real Estate Fund: -$159.4M outflow

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๐Ÿฆ $XLF - Financial Fund: -$203.7M outflow

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Some observations:

  • Most funds (that we're tracking) saw an outflow of capital; only $XLE (Energy Fund) saw a significant inflow.
  • Most of the US tech sector saw a draw-down, except for $SOXS (Semiconductors).
  • Although there was significant outflow from $XLF (Finanical Fund), the Financials Sector saw mostly gains.

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Now let's switch it up and check out some notable trades that were made by the infamous ARK Innovation Fund last week.

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ARKK Fund Trades:

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๐Ÿ’ผ Fund CEO: Cathie Wood

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๐Ÿ“ˆ Fund Performance YTD: +42.29%

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๐Ÿฆ AUM: $7.70B

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11/7/2025 Notable Trades

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๐ŸŸข Bought 264,587 shares of $TTD (Trade Desk Inc)

๐Ÿ”ด Sold 215,684 shares of $GTLB (GitLab)

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11/6/2025 Notable Trades

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๐ŸŸข Bought 2,346,543 shares of $ACHR (Archer Aviation)

๐Ÿ”ด Sold 217,463 shares of $EXAS (Exact Sciences Corp)

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11/5/2025 Notable Trades

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๐Ÿ”ด Sold 105,576 shares of $ROKU (Roku Inc)

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11/4/2025 Notable Trades

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๐ŸŸข Bought 140,462 shares of $CRSP (Crispr Therapeutics AG)

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Whenever you're ready to take the next step

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  • We're building a free paper trading tool you can use to practice investing with virtual money. Join the waitlist for early access.

๐Ÿ˜Ž Vibe Check

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Thoughts on this week's newsletter?

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โ€‹ ๐Ÿค‘๐Ÿค‘๐Ÿค‘ Keep 'Em Coming, Big Boy โ€‹

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๐Ÿค‘๐Ÿค‘ Not Great, Not Terrible โ€‹

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๐Ÿค‘ Weak Sauce โ€‹
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If this newsletter was forwarded to you and you thought it was ๐Ÿ”ฅ, you can subscribe here.

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๐Ÿ‘‡ Follow us on Twitter ๐Ÿ‘‡

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As always, thanks for reading and stay tuned for next week's edition!

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Tech Fizz Team, signing off ๐Ÿซก

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DISCLAIMER: The content in this newsletter is not financial advice; it is for educational and informational purposes only. Stocks can be risky and speculative. Please do your own research before investing.

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