Behavioral Finance & Temperament

The Foundation: Prospect Theory and Loss Aversion

Kahneman & Tversky's Framework

In 1979, Daniel Kahneman and Amos Tversky published a paper that changed how we understand human decision-making under uncertainty. They called it "Prospect Theory," and it won Kahneman a Nobel Prize.

The core insight: People don't evaluate outcomes objectively. They evaluate them relative to a reference point, and they weight losses much more heavily than gains.

Specifically, Kahneman and Tversky found:

1. Loss aversion: The pain of losing $100 is roughly 2–2.5x the pleasure of gaining $100. This is not rational-objectively, money is money. But psychologically, losses hurt more than equivalent gains please us.

2. Reference dependence: We evaluate outcomes relative to a reference point (often the status quo or a prior belief), not in absolute terms. Lose $10,000 from $100,000 (now $90,000) is more painful than lose $10,000 from $50,000 (now $40,000), even though the outcome is identical.

3. Diminishing sensitivity: The difference between $100 and $200 gain feels bigger than $1,000 and $1,100. We're insensitive to magnitude.

4. Certainty preference: We overweight certain outcomes and underweight probable outcomes. A 100% guaranteed $100 feels better than a 95% chance of $105, even though the expected value is higher.

Investment Implications of Loss Aversion

Loss aversion has huge implications for investors:

1. Disposition effect: You hold losers too long (because realizing a loss is painful) and sell winners too early (because locking in a gain feels good). This is backwards. You should sell losers when thesis breaks and let winners compound.

2. Anchoring to price paid: You anchor to the price you paid ($100). When a stock drops to $60, you feel like you're "losing." This causes you to hold hoping for recovery to $100, ignoring whether the business is now worth $60 or $40. The price you paid is irrelevant.

3. Risk aversion at exactly the wrong time: In bull markets, loss aversion is low (everyone's winning, no pain). You take risk. In bear markets, loss aversion is high (everyone's losing, pain is real). You reduce risk (sell at lows). This is backwards-buy low, sell high requires the opposite.

4. Narrow framing: You evaluate each stock individually ("I'm losing money on this stock") rather than portfolio-level ("My overall return is 8% YTD"). Individual narrow framing triggers loss aversion. Portfolio framing reduces it.

Overcoming Loss Aversion

1. Pre-decide exit rules: Before you buy, decide when you'll sell (thesis broken, valuation full, opportunity cost). Write it down. When the loss hits, follow your rule, not your emotion.

2. Wide framing: Evaluate your portfolio as a whole, not individual positions. If you're up 10% YTD but down 5% in one position, that's not a loss-it's allocation rebalancing.

3. Decision journal: Document every position and your conviction. Review quarterly. This creates cognitive distance from the emotional pain of losses.

4. Diversify: Hold 20–50 positions. When one drops 30%, it's a 1–1.5% portfolio loss. Diversification reduces the pain of individual losses.

Loss Aversion is the #1 Behavioral Trap Most investors hold losers and sell winners because of loss aversion, not because of good investing. Recognizing this is the first step to overcoming it.

Overconfidence and the Dunning-Kruger Effect

The Overconfidence Bias

Studies consistently show that 80–90% of investors think they're above average. This is statistically impossible (by definition, half are below average). It's the overconfidence bias.

Where does it come from?

1. Illusory truth effect: The more you read about a stock, the more confident you become. But reading more doesn't necessarily make you more accurate-it just makes you more confident. Confidence ≠ accuracy.

2. Recency bias: If your last few trades worked out, you become overconfident in your skill. You attribute winning to your ability, not luck.

3. Survivorship bias: You remember the stocks you won on. You forget (or minimize) the ones you lost on. This creates false confidence.

4. Anchoring to past prices: When a stock rises, you think you're smart (you bought low). When it drops, it's external factors. You attributing variance to skill, not randomness.

The Dunning-Kruger Effect

The Dunning-Kruger effect describes a specific type of overconfidence: the less you know, the more confident you are. Beginners think they understand investing after reading one book. Experts are humble about the limits of their knowledge.

This creates a U-curve of confidence:

• Novice: Very confident (thinks the market is simple)

• Intermediate: Less confident (realizes complexity)

• Expert: More confident again (has frameworks to handle complexity)

Most retail investors are stuck in the novice → intermediate phase, where they're becoming less confident but still think they understand. This is actually good-it's the beginning of wisdom.

Overcoming Overconfidence

1. Pre-mortems: Before you invest, imagine it's 3 years from now and the investment failed spectacularly. What went wrong? This forces you to think through risks.

2. Conviction scoring: Force yourself to put a number (1–10) on how confident you are. This makes overconfidence visible.

3. Devil's advocate: For every thesis, assign someone (or yourself) to argue the bear case. What if you're wrong? What evidence would change your mind?

4. Track your assumptions: Write down the key assumptions in your thesis (e.g., "I assume free cash flow stays at $200M per year"). Track whether they prove right. This gives feedback on your accuracy.

5. Smaller position sizes: If you're overconfident, take smaller positions. Your confidence has no bearing on reality, so reduce risk.

Overconfidence and Underperformance Overconfident investors trade too much (increasing costs), concentrate too much (increasing risk), and ignore evidence against their thesis. Humility is an edge.

Confirmation Bias and Selective Information Processing

What is Confirmation Bias?

Confirmation bias is the tendency to seek, interpret, and recall information in ways that confirm your existing beliefs. Once you form a hypothesis ("this stock will outperform"), you seek evidence that confirms it and ignore evidence that contradicts it.

Real Example: The Meme Stock Era

In 2021, retail investors piled into GameStop and AMC. Their thesis was: "Short squeeze will send these stocks to the moon." Every piece of news was interpreted through this lens:

• Stock up 10%? "Confirmation-shorts are covering!"

• Stock down 10%? "Hedgies are attacking! Hold the line!"

• Earnings miss? "Earnings don't matter; it's a short squeeze story!"

• Executive departure? "Bullish-preparing for the real business!"

Confirmation bias allowed investors to rationalize any outcome as confirming their thesis. No amount of evidence could break the narrative.

How Confirmation Bias Distorts Analysis

1. Information seeking: You read bullish articles and skip bearish ones. You follow bullish Twitter accounts. You read annual reports looking for highlights, skipping risks.

2. Interpretation: Ambiguous evidence is interpreted in the direction of your existing belief. A 5% revenue decline could be "temporary headwind" or "structural decline"-you interpret based on your bias.

3. Memory: You remember evidence that confirmed your thesis and forget evidence that contradicted it. Over time, you feel more confident than the actual evidence supports.

The Financial Analyst Case Study

Academic research on equity analysts (who have incentives and training to be accurate) shows they suffer from confirmation bias:

• Analysts issue more positive than negative reports (ratio: 10:1 in some studies).

• Once issued, analysts are slow to downgrade stocks even as fundamentals deteriorate.

• Analysts are overconfident in earnings forecasts and surprised when actual earnings miss.

If trained professionals suffer from confirmation bias, you will too.

Overcoming Confirmation Bias

1. Actively seek disconfirming evidence: For every investment thesis, go find 3 arguments against it. Read bearish articles. Understand the bear case as well as you understand the bull case.

2. Devil's advocate by design: Before you invest, write down the bear thesis. What would have to be true for this to be a bad investment? When would you be provably wrong?

3. Pre-specify what changes your mind: Don't wait for evidence to surprise you. Say in advance: "If debt/equity exceeds 2.0, I sell." "If revenue growth falls below 5%, I reconsider." Then when those thresholds are crossed, you can't argue they don't matter.

4. Red team your thesis: Have a friend read your investment thesis and argue against it. Listen without defending. What did they point out that you missed?

5. Dissent in your portfolio: Hold some positions where you play devil's advocate. Small position in something you think is overvalued, just to force yourself to think about the bull case.

Confirmation Bias is Subtle You don't feel biased. You feel like you're objectively analyzing. This is why it's so dangerous. Actively design processes to fight it.

Anchoring: When the Price You Paid Becomes Your Prison

The Anchoring Bias

Anchoring is the tendency to rely too heavily on the first piece of information you encounter (the "anchor") when making decisions. In investing, the anchor is often the price you paid for a stock.

You buy Apple at $100. It's your anchor. When it drops to $60, you think "I'm down $40, I should wait for recovery to $100." When it rises to $150, you think "I made $50 profit, I should sell." Your decisions are anchored to the wrong number.

Examples of Anchoring in Investing

1. Price paid as anchor: You paid $50 for a stock. It's now $30. You hold it, waiting for $50, because you anchor to the price paid. But $50 was 2 years ago. Fundamentals have changed. The stock's fair value is now $25. By anchoring, you're holding a loser.

2. Historical price as anchor: A stock was $200 three years ago. It's now $80. You think "It's so cheap!" But the anchor is the irrelevant past price. The fair value is $75. Anchoring to history prevents you from selling a legitimate loser.

3. Earnings anchor: A company earned $5 per share last year. It's now on track for $3 per share (falling due to competitive pressure). You think "It's still cheap on last year's earnings." You anchor to the past earnings, ignoring the new reality.

4. Valuation anchor: The market values similar companies at 20x earnings. A company trades at 15x. You think "It's cheap!" But the market valued it lower for a reason (lower growth, higher risk). The 20x anchor is not relevant.

Overcoming Anchoring

1. Explicit fair value estimates: Don't anchor to price paid or historical price. Calculate what the stock is worth today, based on today's fundamentals. Use a DCF model. Run scenarios.

2. Reframe the question: Don't ask "Is the stock back to what I paid?" Ask "Is this stock worth buying today at current price?" Pretend you don't own it. Would you buy it now?

3. Avoid watching prices: Check fundamentals quarterly. Check stock price annually. Daily price watching makes you anchor to recent prices. Reduce the frequency of price checks.

4. Decision rules independent of price: Your decision to hold or sell should depend on fundamentals and thesis, not price. "If ROIC drops below 12%, I sell" (independent of price). "If stock is 2x fair value, I sell" (price-based, but forward-looking, not anchored to past).

Anchoring to the Price Paid is Insidious It feels rational (you don't want to "lose money"). It's not. Fair value doesn't care what you paid.

Herding and Social Proof

The Power of Consensus

Humans are social animals. We take cues from others. In investing, this manifests as herding: we do what everyone else is doing because everyone else is doing it.

The herd creates two powerful effects:

1. Social proof: If everyone's buying, it must be right. If everyone's selling, it must be wrong. We use popularity as evidence of correctness.

2. FOMO (fear of missing out): If everyone's making money in meme stocks, we fear missing out. We buy. When everyone's panicking and selling in a crash, we fear missing the panic. We sell.

The Tech Bubble (1999–2000)

The dot-com bubble is the classic example of herding. In 1999, every stock with "dot-com" in its name rose 200%+, regardless of fundamentals. Why? Because:

1. Social proof: Everyone was buying. Media glorified internet entrepreneurs. CNBC ran positive stories.

2. Narrative: The narrative was "The internet changes everything; companies without internet presence will go bankrupt."

3. FOMO: If you weren't invested in tech, you felt stupid. You were "missing the future."

4. Herding: Retail investors, institutional investors, analysts-all bought. The herd was massive.

In 2000–2001, the herd stampeded in the other direction. Stocks that had risen 300% fell 95%. Companies with strong fundamentals dropped 80% alongside companies with no revenue.

The lesson: Consensus is often wrong at turning points. The biggest opportunities come when you're doing the opposite of the herd.

Recent Example: Meme Stocks (2021)

GameStop and AMC in 2021 followed the exact same pattern:

1. Stock rises for fundamental reasons (short squeeze, e.g.)

2. Media coverage attracts retail investors

3. Retail investors herd in (social proof)

4. Stock becomes detached from fundamentals

5. Herd reverses, stock crashes

6. Late buyers (those caught by FOMO) are left holding losses

Herding is not unique to retail. The 2008 financial crisis was partly a herding event: everyone believed housing prices would rise forever because the herd said so.

Overcoming Herding

1. Contrarian approach: When consensus is extreme bullish, consider being cautious. When consensus is extremely bearish, consider looking for opportunities. Howard Marks calls this "pendulum thinking."

2. Follow the fundamentals, not the crowd: Make decisions based on your research, not on what others are doing. If you've analyzed a stock and concluded it's worth $50, the fact that everyone else is selling doesn't change your analysis.

3. Track dissent: Read contrary opinions. If 90% of analysts are bullish and 10% bearish, read the bearish ones carefully. The minority is often more thoughtful.

4. Small position sizes for trend plays: If you're betting on a trend that the herd is chasing (e.g., AI stocks), take smaller positions. You're fighting the herd, so don't concentrate.

5. Long-term view: Herding is a short-term phenomenon. The herd drives prices wildly in 1–3 years. If you're patient, fundamentals win over 5–10 years. Be patient.

The Herd is Usually Wrong at Turning Points Buy when blood is in the streets (the herd is panicked). Sell when the herd is euphoric. This is contrarian, but it's right.

Recency Bias and Extrapolation

The Recency Bias

Recency bias is the tendency to give more weight to recent events than to historical patterns. This leads investors to extrapolate recent trends into the future indefinitely.

Real Examples of Recency Bias

1. 2008 Housing Crisis: In 2007, housing prices had risen for 20 years. Investors extrapolated: "Housing prices always go up. They've never declined nationally. This is a good investment." They anchored to the recent trend and ignored the historical frequency of recessions.

2. 2000 Tech Crash: In 1999, tech stocks had risen 100%+ for 5 years. Investors extrapolated: "Tech is the future; it will keep rising 30% annually." They ignored that 30% annual growth is impossible forever. It will revert to historical averages.

3. 2020 Market Crash: In March 2020, the market fell 35% in 4 weeks. Investors believed: "The crash will continue; stocks will halve." They extrapolated the recent trend. Instead, the market recovered 60% in 5 months.

4. 2024 AI Boom: In 2023–2024, AI stocks rose 100%+. Investors believe: "AI is the future; tech will rise 25% annually forever." Same bias. Tech will revert to historical averages.

Recency and Your Own Investment Decisions

Recency bias affects you directly:

1. After a win trade: You made 30% on a stock in 6 months. You become overconfident. You take larger positions. You take more risk. You extrapolate your recent success.

2. After a bad trade: You lost 20% on a stock. You become gun-shy. You avoid similar positions. You extrapolate your recent loss.

3. During bull markets: The market has risen 20% YTD. You feel confident. You take more risk. You buy more stocks. You extrapolate the bull market.

4. During bear markets: The market has fallen 20% YTD. You feel scared. You sell. You reduce risk. You extrapolate the bear market.

This is backwards. You should be more cautious during bull markets (valuations are stretched) and more aggressive during bear markets (valuations are cheap).

Overcoming Recency Bias

1. Historical perspective: When extrapolating, look at historical frequency, not just recent data. Yes, tech has risen 100% in 2 years. But tech has also fallen 50% in past cycles. Both are possible.

2. Mean reversion: Most trends revert to historical means. If a stock returns 30% annually, it will not continue forever. If bonds yield 5%, that's above historical average; yields will likely fall (prices rise).

3. Valuation discipline: Don't extrapolate prices. Extrapolate cash flows and growth. Value the business based on normalized earnings and future growth, not recent price trends.

4. Contrarian positioning: When recent trends are extreme (stock up 200% in 1 year), position yourself for mean reversion. Trim winners. Look for laggards. Balance bias.

5. Long-term thinking: Recency bias is short-term thinking. Think 5–10 years. Recent trends don't matter over 10 years. Fundamentals do.

Recent Performance is the Worst Predictor of Future Performance Mutual funds with the best recent returns often underperform in the next period. Extrapolation fails.

The Disposition Effect: Selling Winners Too Early, Holding Losers Too Long

The Bias Explained

The disposition effect is the tendency to sell winning positions too early and hold losing positions too long. It's driven by loss aversion (you want to lock in a gain and avoid realizing a loss) and overconfidence (you overestimate the loser's potential).

Real Example: The Individual Investor Study

In one famous study, researchers tracked individual investor trading patterns. They found:

• Investors sold winners at a 1.5x higher rate than they sold losers.

• The stocks they sold (winners) outperformed the stocks they held (losers) in subsequent periods by 3.5% annually.

• This underperformance cost investors hundreds of thousands of dollars over a career.

Why? Because investors sold high (locking in gains) and held low (waiting for recovery that never came).

Why This Destroys Wealth

Selling winners early costs you compounding. If you sell Apple after 30% gain and it rises 300% over next 5 years, you missed 270% of the upside. Compounding requires patience.

Holding losers costs you opportunity cost. If you hold a broken thesis at 0% return while you could have been in a 10% annual compounder, you've lost 10% annually (opportunity cost).

Combined, these two errors are devastating. Studies suggest the disposition effect costs the average retail investor 2–3% annually.

Overcoming the Disposition Effect

1. Pre-specify exits: Before you buy, write down your exit rules. (1) Sell if thesis breaks. (2) Sell if valuation exceeds 2x fair value. (3) Sell if opportunity cost triggers. Then follow the rules, regardless of gains or losses.

2. Reframe: Think percentage return, not dollar amount: Don't think "I'm down $5,000." Think "I'm down 15% on this position." Percentage framing reduces the emotional pain of losses.

3. Sell losing positions mechanically: When a position declines 20–25%, ask: "If I didn't own this, would I buy it today?" If the answer is no, sell. Don't wait for recovery.

4. Let winners run: When a position rises, don't sell just to "lock in" a gain. Ask: "Is my thesis still intact? Is valuation reasonable?" If yes to both, hold. Let compounding work.

5. Trim winners, don't sell them: A middle ground: when a winner reaches 2x fair value, sell 25–50%, rebalancing to position size. Let the rest compound. This captures upside without becoming emotionally attached.

The Disposition Effect is Devastating Selling winners and holding losers is the reverse of what makes you rich. Fight this bias relentlessly.

Narrative Fallacy and Story-Driven Investing

What is Narrative Fallacy?

Narrative fallacy is the tendency to create compelling stories about why something happened or will happen, treating the story as fact. We're storytelling creatures. We hear a good story, we believe it.

The problem: compelling stories are not the same as accurate predictions. A good story can be 99% wrong. A boring fact can be 100% right.

Examples of Narrative Fallacy in Investing

1. "Tesla will be worth a trillion dollars because EVs are the future": This story is compelling. But it's based on extrapolation, not fundamentals. Tesla at $1T valuation implies specific earnings and growth. Are those realistic? The narrative doesn't require us to check.

2. "Bitcoin is the future of money": This story is compelling. But it ignores: (1) Bitcoin has failed as a currency (too volatile, too slow). (2) Central bank digital currencies will likely replace it. The narrative persists despite the facts.

3. "This company will be a 10-bagger because of AI": This story is compelling. But how many AI companies actually compound returns 10x? 1 in 100? Yet the narrative keeps people buying.

4. "Diversified tech company with cloud, AI, and subscription revenue": This narrative checks all the boxes. Investors buy. But the narrative obscures: (1) Which segment is actually profitable? (2) Is cloud revenue real or subsidized? (3) What's the actual competitive position? The narrative hides the fundamentals.

Why Narratives Distort Analysis

1. Narrative hides assumptions: A good story doesn't require you to articulate your assumptions. You just feel convinced. This prevents you from testing your thesis.

2. Narrative resists contradicting evidence: If you believe a narrative, contradicting evidence is dismissed as "short-term noise" or "jealous competitors" or "media bias." Narratives are sticky.

3. Narrative drives position sizing: You position based on the strength of the narrative, not the strength of the facts. A compelling story gets you to put 10% in. A boring fact gets 1%.

Overcoming Narrative Fallacy

1. Articulate your thesis without narrative: Write your investment thesis without the story. Just facts: "Company has 5% market share in a $100B market. Growing 15% annually. Margins 25%. Trading at 12x earnings." Now test each claim.

2. What would prove me wrong?: For each claim in your thesis, ask: "What evidence would prove this wrong?" If you can't articulate falsifiable conditions, you're in narrative land.

3. Base case, bear case, bull case: Write three scenarios. Base case (50% probability): what do the numbers say with realistic assumptions? Bear case (25%): what if assumptions are more conservative? Bull case (25%): what if the best-case scenario plays out? If your base case doesn't support investment, reject the narrative.

4. Avoid the news narrative: The media creates narratives daily (this sector is hot, this company is doomed). Ignore them. Focus on fundamentals and base case.

5. Seek out the boring thesis: The most profitable investments are often boring. Utilities, insurance, staples retailers. Boring makes you less emotional and more analytical.

Narratives Are Seductive The more compelling the story, the more you should scrutinize it. The best investments are often boring.

Market Cycles and Pendulum Thinking (Howard Marks)

The Pendulum Model

Howard Marks describes market behavior as a pendulum. It swings between extremes: exuberance and panic, overvaluation and undervaluation. The pendulum is always swinging. It reaches peaks and troughs. It's never in the middle for long.

Understanding where you are in the cycle is crucial for investment success.

The Cycle Pattern

1. Undervaluation and fear: Assets are deeply undervalued. Fear is high. No one wants to buy. Bargains are everywhere. This is the buying opportunity.

2. Transition to optimism: Fundamentals improve. First smart investors buy. Assets rise. More investors notice.

3. Optimism and overvaluation: Assets are now expensive. Optimism is high. Everyone is buying. Returns are expected to be 15%+ annually. This is the selling opportunity.

4. Transition to panic: Expectations disappoint. First smart investors sell. Assets decline. More investors panic.

5. Panic and extreme undervaluation: Assets are deeply undervalued again. Panic is high. This is the buying opportunity again. The cycle repeats.

Identifying Where You Are in the Cycle

1. Valuations: Are stocks at historical highs (overvalued, peak cycle)? Or historical lows (undervalued, trough cycle)?

2. Sentiment: Is media saying "stocks always go up"? (Peak cycle). Or is media saying "stocks are too risky"? (Trough cycle).

3. Credit spreads: Are bonds tighter (complacency, peak)? Or wider (fear, trough)?

4. Volatility: Is implied volatility low (complacency, peak)? Or high (fear, trough)?

5. Insider buying/selling: Are insiders selling (they think peak)? Or buying (they think trough)?

Pendulum Investing

The implication: success comes from investing against the cycle.

• At peaks: Take risk off. Sell overvalued holdings. Build cash. Prepare.

• At troughs: Deploy cash. Buy undervalued holdings. Add risk. Act.

This is brutally counterintuitive. At peaks, you feel confident (everything's up). You want to buy. Don't. At troughs, you feel terrified (everything's down). You want to sell. Don't.

The hardest part of investing is doing the opposite of the crowd at the right time. But that's where the money is.

Temperament vs. Intelligence: Why Emotional Discipline Matters More Than IQ

The Uncomfortable Truth

IQ is not highly correlated with investing success. Studies of successful investors show average IQs (probably 120–150). Studies of unsuccessful investors show similar average IQs.

What separates successful from unsuccessful is not intelligence-it's temperament.

What is Temperament?

Temperament is your emotional stability, your ability to think clearly under stress, and your capacity to wait patiently for opportunities.

The best investors have:

1. Emotional stability: They don't panic in crashes. They don't get euphoric in booms.

2. Patience: They can wait years for a thesis to play out. They resist FOMO.

3. Intellectual humility: They know what they don't know. They ask questions instead of pretending certainty.

4. Discipline: They follow their rules, even when breaking them would feel good.

Examples of Temperament in Practice

Buffett's temperament: He lived through the Great Depression as a young man. This gave him permanent perspective. Crashes don't terrify him. Booms don't seduce him. He waits patiently for opportunities. He asks lots of questions. He follows his rules.

Munger's temperament: He's intellectually humble. He says "I know this is outside my circle; I pass." He's patient. He's disciplined. He admits mistakes. He asks good questions.

Contrast with the Blowup Fund Manager: High IQ, great at picking stocks short-term. But in 2008, when everything dropped, he couldn't handle the pain. He panicked. He sold at the lows. His fund lost 50%+. High intelligence, poor temperament, terrible outcome.

Building Temperament

You can't increase your IQ much (it's largely fixed). But you can build temperament through practice:

1. Experience: Invest through cycles. Live through a crash. Experience the emotions. Get desensitized. Next crash, you'll be calmer.

2. Process and rules: Write investment rules. When emotions are high, follow the rules, not your feelings. Over time, following rules becomes automatic.

3. Pre-commitment: Write down your strategy before you're emotional. When you're emotional, default to the strategy. "I will hold for 5 years" is decided in calm times. In panicked times, you follow the pre-commitment.

4. Meditation and stoicism: Practices that build equanimity help. Meditation reduces reactivity. Stoic philosophy provides perspective.

5. Small stakes: Practice temperament on small positions first. Once you've calmed down through several small losses, increase stakes. Build the temperament muscle gradually.

Temperament is Trainable You're not born with perfect temperament. You build it through practice and discipline. The best investors are disciplined practitioners, not geniuses.

Self-Practice Prompts

1. Identify Your Bias: For each bias (overconfidence, confirmation bias, loss aversion, anchoring, herding, recency, disposition effect), write an example from your own investing. Which bias do you suffer from most?

2. Prospect Theory Exercise: Take a stock you own that's down 30%. Calculate: What would you pay to buy it today (no reference to your purchase price)? Is that more or less than your cost basis? Does that tell you anything about your anchoring?

3. Confirmation Bias Test: Pick a stock you're bullish on. Spend 2 hours reading only bearish articles and thesis against it. Write down the strongest bearish argument. Does it change your conviction? If not, you're likely suffering from confirmation bias.

4. Narrative vs. Facts: Take a stock you own. Write the compelling narrative about why it will outperform. Now write down the boring factual thesis (revenue, margins, growth, valuation). Which one is stronger?

5. Pendulum Analysis: Where is the market in the cycle right now? (Peak valuation, peak sentiment, peak complacency?) What should you be doing based on pendulum thinking? Are you doing it?

6. Temperament Audit: In your last three trades, did you follow your rules? Or did you break them due to emotion? If you broke them, what feeling caused it?