Why long-term investing feels scientific

Have you ever felt the urge to just trade a stock because you were bored, or felt like you had to "do something" to make money?

In this episode, we address a major transition for the Investing for Beginners podcast and introduce a new co-host, Stephen Morris. We dive into Stephen’s personal journey, the "gambler's fallacy" in trading, the power of a company's "moat," and why sometimes the best action in your portfolio is no action at all.

We discuss:

• The Big Announcement: Addressing Dave's departure from the podcast and Sather Research, and Stephen stepping up to the mic.

• The Day Trading Trap: Stephen shares his grueling 11-hour days trying to day trade after retiring from the Army, and the massive stress it caused.

• The Gambler's Fallacy: How doubling down on a losing trade can completely wipe out your portfolio.

• Scratching the "Itch": How to manage the psychological need to trade without risking your core long-term investments.

• Circle of Competence: How Stephen used his military background to successfully evaluate General Dynamics (GD).

Timestamps

02:23 Introducing Stephen Morris as the new co-host.

04:48 Stephen’s journey into day trading after retiring from the Army.

14:23 Andrew explains the "gambler's fallacy."

16:49 Why long-term investing is a more scientific and stable approach.

17:40 Understanding the importance of a company's "moat" (featuring Casey's).

25:46 Applying the "circle of competence" to General Dynamics (GD).

32:28 The most beneficial lesson learned: Patience and knowing "it's okay."

Resources Mentioned

The Value Spotlight Newsletter: ⁠https://einvestingforbeginners.com/value-spotlight-newsletter⁠/

Have questions or want your story featured? Email the show at ⁠newsletter@einvestingforbeginners.com⁠ or comment below. Your feedback shapes the podcast!

Remember, invest with a margin of safety—emphasis on the safety. Have a great week, and we’ll talk to you next time.

Timestamps are generated by artificial intelligence, and are not 100% accurate depending on the platform used for listening.

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