Kahneman and Tversky's Prospect Theory (1979) demonstrated that individuals experience losses approximately twice as intensely as equivalent gains — a finding that generates specific market-level patterns when aggregated across millions of participants.
Disposition effect at market scale: Shefrin and Statman (1985) found that investors sell winners too early and hold losers too long — individually. When this behavior is aggregated, it creates predictable price patterns: stocks that have risen significantly face persistent selling pressure from early holders locking in gains (creating resistance), while stocks that have fallen face persistent holding from participants unwilling to realize losses (creating false support that eventually breaks).
Herding and momentum: Participants systematically extrapolate recent trends. When a sector has performed well for several months, capital flows into it — not because of fundamental revaluation, but because recent performance creates narrative and attracts attention. This herding amplifies trends and creates the momentum premium documented in the academic literature.
Sentiment extremes as contrarian indicators: When virtually all market participants are bullish — high put/call ratios, elevated sentiment surveys, maximum net long positioning — the fuel for continued upward price action is largely exhausted. Everyone who was going to buy has bought. The corollary: when sentiment is uniformly bearish, the potential seller pool is depleted.
Understanding these patterns at the market level makes them easier to recognize in your own behavior — you are not immune to the biases that create them.