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IMPORTANT WARNING TO ALL INVESTORS | DO THIS ASAP

Tom NashJan 20, 2026

Summary

Tom provides a critical market update addressing the panic following President Trump's announcement of new tariffs on Europe. He asserts that the resulting market sell-off is a purely political and psychological event rather than a fundamental shift in business quality. Tom's main thesis is that stock prices follow earnings growth with 100% correlation over the long term, making macroeconomic news and political 'grenades' largely irrelevant for serious investors. He references Peter Lynch and Warren Buffett to emphasize that spending time on macroeconomics is often a waste of effort, as the market's tendency to 'sell first and ask questions later' creates opportunities for those who remain stoic.

Tom warns against the urge to time the market or 'sit out' the volatility. He explains that missing just the 10 best trading days in a decade can slash total returns by 50%. Instead of reacting emotionally to red screens, he encourages using a 'Dollar Cost Averaging (DCA) Double Down' strategy to capitalize on dips. He emphasizes an ownership mindset, using Buffett's farm analogy: an investor shouldn't sell their property just because a neighbor offers a lower price every day. By focusing on balance sheets and income statements over headlines, investors can build generational wealth and avoid the 'hamster wheel' of emotional trading.

**Palantir (PLTR):** Tom highlights this stock as a prime example of why investors must endure short-term pain for long-term gains. He notes that the stock dropped from $35 to $6 in 2022, but by remaining calm and holding, investors saw it reach $170 (according to the transcript's figures). He uses Palantir to illustrate that hindsight eventually proves the value of staying invested through extreme uncertainty.
**Tesla (TSLA):** Tom identifies himself as a long-term shareholder and uses the company to demonstrate how institutional professionals treat macro volatility as a 'no-event.' He mentions that identifying stocks like Tesla back in 2019 is the result of focusing on fundamentals rather than headlines. He views the current volatility as just another 'bug on the windshield' for the company's long-term trajectory.
**Nvidia (NVDA):** Tom references Nvidia as one of the successful picks discussed within his investment academy. He points out that the stock has seen a massive 1,200% return since it was first highlighted to his members. This serves as evidence for his argument that focusing on business growth leads to outsized returns regardless of who the President or Fed Chair is.
**S&P 500:** Tom uses the broader market index to prove that political drama rarely causes long-term damage. He notes that over the last 30 years, despite hundreds of geopolitical collapses and crises, the S&P 500 has returned approximately 800%. He argues that reality eventually absorbs the shock of political announcements, and businesses adapt to new realities like tariffs.

Mentioned Stocks

NVDA
Sentiment: BUYAction: RECOMMENDED

Reasoning: Tom mentions Nvidia has gained 1,200% since he first identified it for his followers. He uses it to illustrate that fundamental business success overrides political events like tariffs over a multi-year horizon.

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PLTR
Sentiment: BUYAction: RECOMMENDED

Reasoning: Tom uses Palantir as a case study for long-term conviction. He notes it dropped from $35 to $6 in 2022 but eventually rose to $170. He argues that selling during the 'eye of the storm' prevents investors from realizing these massive recoveries.

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TSLA
Sentiment: BUYAction: RECOMMENDED

Reasoning: Tom is a shareholder and views Tesla as a business where long-term earnings matter more than macro noise. He cites it as a stock that professional investors hold through volatility while retail investors panic.

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SPY
Sentiment: BUYAction: RECOMMENDED

Reasoning: Tom points out the S&P 500's 800% return over 30 years despite constant geopolitical turmoil. He advises staying invested to avoid missing the '10 best days' which are crucial for performance.

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