How Fear and Greed Cycles Drive Crypto Markets
Fear and greed don't just reflect crypto market conditions - they create them. Understanding the cycle helps traders recognize where sentiment really is.
Articles tagged "Behavioral Finance"
3 articles with this tag. View all articles →
Why Traders Overtrade Even When They Know Better
Knowing overtrading destroys edge doesn't stop traders from doing it. The cause is structural, not informational - and the fix isn't more willpower.
The Psychology of Revenge Trading
Revenge trading feels like recovery. It's actually the second loss. Understanding the psychological loop that drives it is the first step to breaking it.
About this tag
Behavioral finance is the field that imported cognitive research into economics and documented what happens when the rational-actor model meets actual human decision-making. The biases it names - loss aversion, anchoring, availability heuristic, disposition effect - were first catalogued in laboratory settings, then found to appear unchanged in market data. The field's core finding is not that traders are irrational in unpredictable ways, but that the errors are systematic and therefore foreseeable.
The taxonomy matters because it creates precise language. Loss aversion is not the same as risk aversion. The disposition effect - the tendency to sell winning positions early and hold losing ones - is a specific, measurable pattern in trade records, not a vague observation about behavior. Anchoring to prior price levels produces identifiable clustering in orders. Mental accounting, the tendency to treat money in different buckets differently depending on its source, leads to position sizing decisions that have nothing to do with actual edge or risk.
These notes sit at the intersection of the academic framing and what appears in crypto market data. Where the research originated in equity and experimental settings, crypto offers a compressed, 24-hour laboratory with public on-chain records and visible liquidation data. Funding rates, open interest spikes, and capitulation wicks are behavioral artifacts as much as they are price events.
The angle here is taxonomic: name the mechanism from the literature, locate it in the market data, note where the theoretical prediction holds and where crypto structure introduces friction. The practical implications - what to do about any of it - are downstream of getting the diagnosis right.