The behavioral side of losing money — and how to think straight again.
Hindsight bias is the well-documented tendency to believe, after the fact, that you predicted an outcome you actually couldn't have called in advance. Why it turns every loss into self-blame, what the original 1975 research found, and how to check your own memory before you trust it.
Recency bias is the tendency to treat the most recent price action as more informative than it actually is — extrapolating a short rally or a short crash into a permanent trend. What the research found, what it costs investors in real dollars, and how to catch it before your next decision.
Survivorship bias is what happens when you judge your results against a sample that's secretly made of only the winners — dead coins delisted, blown-up traders gone quiet, failed funds dropped from the record. Why your feed makes your losses feel uniquely bad, and how to check the real numbers before you believe it.
Overconfidence bias is the tendency to overestimate your own skill at picking winners and timing markets — and the largest study ever done on it found the most confident, most active traders earned the worst returns. What the research found, why crypto makes it worse, and how to check your own numbers.
The ostrich effect is the well-documented tendency to avoid checking your investments after they've fallen — a real, measured behavior, not just a figure of speech. What the research found, why it happens, and the specific costs it creates for anyone sitting on a loss right now.
The belief that an asset 'can't possibly go lower' or is 'due' for a reversal after a losing streak isn't a market read — it's the gambler's fallacy, a well-documented bias that shows up in real trading data and costs real money. Here's how it works and how to catch it.
Herd mentality is why you bought when everyone else was buying and sold when everyone else was panicking. The research behind crowd-driven bubbles and capitulations, plus a checklist to catch it before your next trade.
The house money effect makes you take bigger risks after a win. The break-even effect makes you take bigger risks trying to erase a loss. Both come from the same 1990 study, and together they explain why so many recoveries don't stick.
The disposition effect is the well-documented tendency to sell profitable positions too early and hold losing ones too long — the opposite of what's optimal for returns or taxes. What the research actually found, why it happens, and how to catch it in your own portfolio.
Your purchase price, an asset's all-time high, and round numbers all act as psychological anchors that distort what a fair price actually looks like. What anchoring bias is, the research behind it, and how to actually price an asset without one.
Once you're down on a position, your brain quietly starts filtering the information you see — amplifying anything bullish, discounting anything bearish. How confirmation bias hijacks your information diet, and a concrete way to test whether you're still right or just not looking.
Why fear of missing out drives you to buy right before a drop, how it's mechanically different from revenge trading or loss aversion, and a pre-buy checklist to catch it before your next entry instead of after.
After a crash, every bounce raises the same question — is this the real recovery, or a dead cat bounce that traps you into buying back in too early. A concrete framework for telling the difference before you act, not after.
Why 'I've already put in so much, I can't sell now' feels like conviction but is actually a well-documented reasoning error — and a concrete test to tell the difference before it costs you more.
The early warning signs of revenge trading, why it feels like conviction while it's happening, and a simple pre-trade checklist to catch it before it drains your account further.
The behavioral economics of why losses feel worse than equivalent gains feel good, and three concrete, practical ways to trade around it instead of getting run by it.