A Once In A 100 Year Investment Opportunity Just Started (Most Aren’t Ready) | Felix Nikolas Prehn

Finance-Focused Summary

Oil / Macro Context

• Brent crude rose from about $60 (a year ago) to roughly $116, and is now just below $100.
• The speaker argues that higher oil prices can benefit parts of the U.S. economy, not only harm it, because a meaningful share of oil revenue can remain in the U.S. energy supply chain.
• The author characterizes the annual move as roughly +50% to +150% (noted as inconsistent phrasing).

U.S. Oil Company Examples (Quality / Profitability Angle)

The speaker uses specific companies as illustrations of improving fundamentals:

• EOG Resources (EOG)

  • Described as having “very good” ratings with improving fundamentals.
  • Emphasis on strong growth in income/profits and cash flow.
  • The speaker’s takeaway: “I’m telling you to buy these stocks.”

• Exxon Mobil (XOM)

  • Mentioned as a second example.
  • Notes that the stock is up materially.
  • Highlights cash flow generation as best in the last 2 years, and profit growth as best in the last 2 years.

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Equity Index Concentration / Breadth Risk (S&P 500)

Critique of “Buy the S&P 500” Complacency

• The speaker challenges the simplistic view that rising index levels automatically reflect broad strength.
• They cite dispersion within the index:
  • The “red portion” indicates that 82% of S&P 500 stocks are falling.
  • They claim the “blue top names” represent only about 18% of all names.

Practical Implication

• An index can hide dispersion: a relatively small group of large constituents can dominate performance.
• If the top constituents weaken, the index can fall—framed as a risk for retirement/pension portfolios.

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Behavioral / Crowd Contrarian Indicator (AAII Sentiment)

AAII Survey Framework

• Source: American Association of Individual Investors (AAII).
• Metric: % of investors expecting the market to be lower in 6 months.

Key Levels

• Long-run average expecting lower: ~31%
• “Just now” expecting lower: 48% (framed as near-maximum fear)

Historical Examples (Sentiment vs Future Returns)

• 2009
  • Sentiment: ~70% negative
  • Outcome: S&P 500 rose 67% over the next 12 months
• 2022
  • Sentiment: ~60% negative
  • Outcome: S&P 500 rose 18% during 2022

Important Caution

• The speaker emphasizes this is not a crystal-ball timing tool.
• Instead, it’s presented as a counter-indicator.

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Housing + Fed Reaction Function (Rates, Jobs, Transmission Mechanism)

Housing Weakness Signals

• Housing vacancies: ~95,000 (July) → ~50,000 (August)
• The speaker claims this is the lowest since 2024 (per their data).

Mortgage Rates and Demand

• The blame is largely placed on mortgage rates around ~7%+.
• Reduced homebuying translates into fewer transactions and a knock-on effect across the housing supply chain.

How the Fed Fits In

• Fed “logic” is described as centered on prices and jobs.
• Housing is portrayed as the most rate-sensitive segment:
  • If housing and jobs weaken, it provides “cover” for the Fed to slow rate hikes (not necessarily cutting immediately).

If Rates Fall: Secondary Effects

• Banks may pay less on deposits, but:
  • Loans become cheaper for businesses
  • Potentially improves profits
  • The speaker argues large money-market fund assets (described as “trillions and trillions”) could rotate into higher-yielding assets (often stocks).

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“Macro Money” vs “Feels Bad” (Market-Economy Disconnect)

2020 Example: Bad Labor Conditions, Strong Market

• Reported unemployment peaked around 14.7% (April).
• Yet the S&P 500 reached record highs by August 2020.

Mechanism claimed:

• Markets discount future earnings
• Shelter-in-place reduced some spending but coincided with large Fed/government liquidity flowing into financial markets

2022 Example: Stronger Conditions, Weak Market

• The speaker contrasts this with 2022, where job conditions are described as relatively strong.
• Despite that, the S&P 500 fell ~50.19% in 2022.
• Explanation: rate hikes and balance-sheet tightening (money leaving the system)

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Money Supply / Liquidity Claim (M2)

Current and Growth Assertions

• M2 is cited at ~$23 trillion.
• The speaker claims M2 growth is the fastest pace since 2022.

“Printing Pace” Comparisons

• Same time last year: about $600B printed
• This year: nearly $1T printed (speaker phrasing)

Historical Reference

• 2020–2021: M2 grew about ~27%
• In that period, the S&P 500 doubled in ~17 months

Interpretation

• Liquidity is described as “vitamin B”:
  • Not a cure for fundamentals
  • But it can support markets temporarily
• Because money “has to go somewhere,” it often ends up in stocks.

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Explicit Investment Stance / Recommendations (High-Level)

• Avoid holding too much cash
  • Cash is described as “melting away” due to inflation/real value erosion and liquidity dynamics.
• Don’t treat headlines as direct trading signals
  • Avoid assuming news/economic headlines automatically dictate stock performance.
• Focus on quality stocks, emphasizing:
  • Improving income
  • Improving profits
  • Good returns on capital
• Critique of pure index exposure
  • The speaker argues index performance can be driven by a smaller “tail,” with roughly 82% of stocks potentially lagging.
• Suggested process: quality screening and avoiding “big losers.”

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Disclosures / Disclaimers

• The speaker states: “This is not financial advice.”
• He also says he is “not a registered professional.”
• Mentions no sponsorship / never advertising (as a claim of independence).
• Refers to a free trial/software (30-day trial; cancel by day 29), framed as data/earnings research, not a direct sales pitch.

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Tickers / Instruments / Assets Mentioned

• Brent crude (oil) (benchmark commodity; no ticker provided)
• S&P 500 (index)
• EOG Resources (EOG)
• Exxon Mobil (XOM)
• M2 (money supply aggregate)
• Money market funds (mentioned as an asset class; no ticker provided)
• Mortgage rates (level discussed; no specific security mentioned)
• Bonds / “bond market” (safe-haven destination referenced; no ticker provided)

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Methodology / Framework Mentioned

1) Counter-Indicator Approach Using Sentiment (AAII)

• Track the % expecting the market to be lower in 6 months
• Compare to historical average (e.g., ~31% vs 48%)
• Use past episodes (e.g., 2009, 2022) to infer contrarian tendencies

2) Quality-First Stock Selection (Instead of Headlines)

Screen for companies showing:

• Income increasing
• Profits increasing
• Good returns on capital / returns on their money

3) Macro → Market Mapping (Liquidity and Policy)

• Focus on whether money is moving toward markets (liquidity/policy stance via M2 and Fed behavior)
• Do not equate “economy feels bad” with “market must be bad,” supported by:
  • 2020 unemployment vs S&P rally
  • 2022 S&P decline vs rate hikes

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Key Numbers / Metrics / Timelines

Oil / Macro

• Brent: ~$60 → ~$116, now < $100
• Annual change described as ~+50% to +150% (inconsistent wording)

Housing

• Vacancies: ~95,000 (July) → ~50,000 (August)
• Lowest since 2024 (speaker claim)
• Mortgage rates: ~7%+

AAII Sentiment (6 months)

• Long-run average expecting lower: ~31%
• Current expecting lower: 48%

Sentiment vs S&P Performance

• 2009: ~70% negative → S&P +67% over next 12 months
• 2022: ~60% negative → S&P +18% during 2022

S&P 500 (as stated)

• Mentions about ~13% “this year” (year unclear)
• 2022: -50.19% (as stated)
• 2020: record highs by August (linked to unemployment peak timing)

M2 / Liquidity

• Current M2: ~$23T
• Growth: fastest since 2022 (speaker claim)
• “Printed” comparisons:
  • Last year at same time: ~$600B
  • This year: nearly $1T
• 2020–2021: M2 up ~27%
• S&P doubling: about 17 months

Equity Breadth / Concentration Claim

• 82% of S&P 500 stocks falling
• Top contributors described as ~18% of names

Session Timing

• A live session on Saturday, duration about 2 hours

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Presenters / Sources Mentioned

• Felix Nicholas Prehn
  • Economist and former investment banker; founder of the Pren Institute
• Winston (named companion/host referenced)
• AAII (American Association of Individual Investors) (sentiment survey source)