Boot Camp Day 25: Over Confidence

Main Ideas / Concepts (Overconfidence in Trading)

• Overconfidence is a beginner-trader mindset: After a great win (e.g., hitting all take profits), a beginner may immediately look for another trade and try to turn gains into more gains—this leads to greed and overconfidence.

• Trading is based on probabilities, not certainty:

  • You don’t control outcomes; you manage situations where your edge/probability is higher.
  • The lower the probability of a setup, the less likely you are to win.

• Best probability comes early in the session (as described by the speaker):

  • The speaker’s approach (“price and time theory”) is said to be most probable at market open, when:
    • new money enters,
    • liquidity sweeps often occur,
    • orders get filled to push price.

• Avoid overtrading:

  • Rule of thumb: take only 1–2 trades per day (1 is best).
  • After the first trade(s), volume decreases, and later trades tend to become more like retracements with worse risk/reward and longer waits.

• Overconfidence ≠ only overtrading:

  • Even if you overtrade, losses happen—but the deeper issue is chasing a “perfect” trade or forcing trades emotionally (against what the market is offering).
  • Trying to “recover” through forced high-leverage/high-risk setups is framed as irrational—compared to gambling—because emotional “forced” trades are no longer a real, skill-based edge.

• Confidence should be balanced:

  • There’s a “zone”:
    • Overconfidence side: excessive risk, leverage, and too many trades
    • Underconfidence side: fear—missing entries, underleveraging, waiting too long
  • The goal is confidence without over-risking, and not freezing so much that you miss the right trade.

• A realistic learning mindset is required:

  • The speaker repeatedly emphasizes: you are not profitable yet.
  • Going into the market acknowledging you’re learning reduces overconfidence immediately.
  • Accept that losses will come, even during win streaks.

• Win streaks can be dangerous:

  • When the speaker is winning, they mentally expect a loss soon.
  • For viewers: a small win streak isn’t proof of long-term profitability—don’t assume you “made it.”

• Demo first, live later (and don’t jump too soon):

  • If fear appears, use a demo account until comfortable.
  • The speaker describes a mistake: they were profitable on demo, then moved to live trading and overleveraged due to real-money pressure and the belief they were ready.

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Methodology / Instructions (Explicit Rules the Speaker Gives)

Position Sizing / Leverage

• Stop overleveraging.
• Don’t risk as if you’re proven profitable.

Trade Frequency

• Take only 1 trade per day (best) or max 1–2 trades per day.
• Don’t search for “the next trade” immediately after a win.

Market Timing / Selecting Higher-Probability Periods

• Prefer the period around market open, where setups are claimed to be highest probability due to liquidity and order flow.

Mindset Rules

• Treat every trade as a probabilistic edge, not a guarantee.
• Before trading, internalize: “I am not profitable yet; I’m here to learn.”
• Aim for being confident enough to take the trade, but not overconfident enough to over-risk.
• Don’t let fear or overconfidence control decisions.

Handling Uncertainty Around Fear

• If you’re fearful in live trading: use demo instead of forcing trades live.

Discipline Around News / Volatility Events

• Strong advice: don’t trade tomorrow and not on Thursday, especially around expected volatility from a Federal Reserve / Powell speech (high event risk).

Avoid Strategy-Hopping / “Holy Grail” Thinking

• Don’t assume each new strategy name is unique or revolutionary.
• The speaker warns against taking many trades just because a new strategy name was released.
• Stick with what proved the edge rather than changing behavior due to excitement.

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Additional Claims / Commentary (Strategy and Mentorship Critique)

• The speaker criticizes “white-labeled / rebranded” strategy marketing (mentions ICT as an example), arguing many “new names” are variations of existing concepts rather than truly new edges.
• They argue that successful mentors typically don’t trade like their students:
  • students take too many trades,
  • leading to overtrading.
• Viewers shouldn’t copy the student behavior that creates the problem.

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Speakers / Sources Featured (As Stated or Implied)

• Speaker/Mentor: Unnamed “boot camp” creator/trader delivering the guidance (no name given in subtitles).
• Federal Reserve / Chair Jerome Powell: Mentioned as the Federal chairman Powell speaking, driving expected volatility (source: Powell / Fed policy figure).

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