Gambler's Fallacy
The false belief that a series of losses makes a win 'due' — as if random markets keep track of what they owe you.
The gambler's fallacy is the mistaken belief that independent random events are connected — that after a run of losses, a win becomes statistically "due." It is not. Each trade is its own event. The market has no memory of your last five stop-outs.
It shows up in two costly ways: sizing up after a losing streak because "the next one has to work," and abandoning a valid strategy after a drawdown because "clearly it's broken now." Neither is rational. Drawdowns are built into every strategy's statistical profile.
The correct mental model is probabilistic: your edge plays out over hundreds of trades, not in any given sequence. A 60% win-rate strategy will have 5-loss streaks. That is math, not a sign from the market.
Related Terms
Edge
A statistically demonstrable advantage in a specific market setup — the reason your strategy should make money over a large sample.
IntermediateOverconfidence Bias
Systematically overestimating the accuracy of your analysis, the reliability of your edge, or your ability to control trade outcomes.
IntermediateProbabilistic Thinking
Thinking in distributions and expected value rather than in certainties — accepting that any single trade can lose while the strategy still wins overall.
IntermediateRecency Bias
Overweighting recent events when forecasting future price action, as if the last few candles predict the next hundred.
IntermediateSunk Cost Fallacy
Holding a losing trade because of how much you've already lost in it — as if the market cares what you paid.
Beginner