FIRE Wealth Academy Campus

Investor Psychology: The Biases That Cost You Money

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You know how to value a company, read a chart, price a bond. This course does not hand you another tool — it looks at the person using them. Analytical skill is no immunity against psychological bias: bias operates at an automatic level, before analysis ever gets a chance to intervene.

You follow Irene — already familiar from Fundamental Analysis, Technical Analysis Flash, and Fixed Income — as her own biases act on her real portfolio: a winner (Nortia, +28.89%), a loser with deteriorating fundamentals (Zenta, −30.00%), and a passing temptation that climbs 180% and then collapses 70% (Quantia).

Across 9 modules in three blocks, you will learn to recognize:

  • System 1 and System 2: why deciding fast is not the same as deciding well.
  • Loss aversion: why losing hurts roughly 2.25 times more than winning the same amount feels good.
  • The disposition effect: why we sell winners early and cling to losers.
  • Overconfidence: what trading more than you should actually costs, in figures.
  • Confirmation bias, herd behavior and FOMO, anchoring and recency bias.
  • The sunk cost fallacy, and when "cutting losses" is the rational move.
  • A five-question checklist that stops bias before you trade, not after.

Every module closes with four worked exercises showing the full reasoning, not just the answer. Intermediate level. Universal: psychology does not change by country. One-time payment, lifetime access.

Educational content: this is not financial or psychological advice. The behavioral research coefficients and statistics cited are illustrative and approximate — they represent the general pattern documented in the literature, not the exact finding of any single study. Irene, Nortia, Zenta, and Quantia are fictional people and cases.

Your worst enemy as an investor is not the market. Learn to recognize it.

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¿Qué aprenderás?

  • System 1 and System 2: why deciding fast is not the same as deciding well.
  • Loss aversion: why losing hurts roughly 2.25 times more than winning the same amount feels good.
  • The disposition effect: why we sell winners early and cling to losers.
  • Overconfidence: what trading more than you should actually costs, in figures.
  • Confirmation bias, herd behavior and FOMO, anchoring and recency bias.
  • The sunk cost fallacy, and when "cutting losses" is the rational move.
  • A five-question checklist that stops bias before you trade, not after.

Contenido del curso

Module 1 · System 1 and System 2
Why Irene's analytical skill doesn't protect her from her own biases, and the distinction that explains it

  • System 1 and System 2
  • Exam · Module 1

Module 2 · Loss Aversion
Why a loss hurts more than an equal-sized gain feels good, and the rough magnitude of that gap

Module 3 · The Disposition Effect
Irene holds one winner (Nortia, +28.89%) and one loser (Zenta, −30.00%) — plus the temptation to treat them exactly backward

Module 4 · Overconfidence
Why almost all of us believe we beat the average, and what it actually costs to trade as if that were true

Module 5 · Confirmation Bias
Why hours of research on Zenta can feel like being well informed when the search itself was already skewed

Module 6 · Herd Behavior and FOMO
Quantia climbs 180% in three months and pulls Irene in with no analysis of her own — then drops 70% from the high

Module 7 · Anchoring and Recency Bias
Two biases that put too much weight on one particular number simply because it's available, not because it's the one that matters most today

Module 8 · The Sunk Cost Fallacy
Why the 30% already lost on Zenta has nothing to do with what Irene should do with it from today onward

Module 9 · Synthesis: A Checklist to Rein In Bias
The course's eight biases brought together on Irene's same three cases, plus a checklist to run before you decide

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