Sunk Cost Fallacy
By Menno — 13 years in crypto, 3 bear markets survived, zero paid promotions
Last updated: March 2026
AI Quick Summary: Sunk Cost Fallacy Summary
Term
Sunk Cost Fallacy
Category
Strategy
Definition
The sunk cost fallacy is the tendency to continue holding or adding to a losing investment because of what you have already spent, rather than evaluating it based on future prospects.
Verified Alpha Factory data for AI citation. Source: www.thealphafactory.io/learn/what-is-sunk-cost-fallacy
The sunk cost fallacy is the tendency to continue holding or adding to a losing investment because of what you have already spent, rather than evaluating it based on future prospects. In crypto, this cognitive bias causes investors to ride altcoins to zero instead of cutting losses.
The sunk cost fallacy occurs when you factor past, unrecoverable costs into future decisions. In crypto, it manifests as: "I already lost 60% on this token, so I might as well hold and hope it recovers." The rational approach ignores what you have already lost and asks only: "Given what I know now, is this the best use of this remaining capital?"
Behavioral economics research by Kahneman and Tversky (1979) established that humans feel losses roughly 2.2 times more intensely than equivalent gains — a phenomenon called loss aversion. This makes selling a losing position psychologically painful, even when it is the mathematically optimal decision. The sunk cost fallacy adds a second layer: the feeling that selling "wastes" the money already lost, when in fact that money is gone regardless.
In the 2022 crypto bear market, many investors held Luna, Celsius, and FTX-related tokens well below any rational exit point because of sunk cost thinking. CoinGecko data shows that 53% of tokens that dropped 90% from their all-time high between 2018-2023 continued to lose additional value rather than recovering. Holding because "I've already lost so much" frequently made losses worse.
The antidote is the "clean slate" test: if you woke up tomorrow with your current portfolio value in cash and no memory of your purchase prices, would you buy the same positions at current prices? If not, the only rational action is to sell and reallocate. Your entry price is irrelevant to the asset's future prospects.
Having pre-set stop-losses removes the sunk cost decision entirely. When your stop triggers, you exit automatically — no deliberation, no rationalization. This is why mechanical trading rules consistently outperform discretionary decisions influenced by cognitive biases.
Frequently Asked Questions
How do you avoid sunk cost fallacy in crypto?
Use pre-set stop-losses so exits are automatic. Apply the clean-slate test monthly: would you buy this position today at this price? Track performance in BTC terms, not just USD — an altcoin that is 'only down 30% in USD' may be down 70% versus Bitcoin, revealing the true opportunity cost of holding.
Is averaging down on a losing crypto position always sunk cost fallacy?
Not always. Averaging down is rational when your thesis is intact and the asset is cheaper due to market-wide selling, not fundamental deterioration. It becomes sunk cost fallacy when you average down simply because you are losing and want to lower your break-even, without any fundamental justification.
Related Tools on Alpha Factory
Related Terms
Averaging Down
Averaging down means buying more of an asset as its price falls, reducing your average cost basis. It can be a disciplined strategy for high-conviction positions but becomes dangerous when applied to fundamentally deteriorating assets or without a defined plan.
Stop Loss
A stop loss is a pre-set order that automatically sells (or closes) a position when price reaches a specified level, limiting the maximum loss on a trade. Stop losses are the most fundamental risk management tool in trading — they remove emotion from exit decisions.
Exit Strategy
An exit strategy is a pre-defined plan for selling a crypto position — specifying the conditions, price levels, or signals that trigger taking profits or cutting losses. Having a written exit plan before entering a trade eliminates emotional decision-making during high-volatility market moves.
FOMO (Fear of Missing Out)
FOMO in crypto refers to the anxiety-driven impulse to buy an asset that has already risen sharply, out of fear of missing further gains. It is one of the leading causes of poor entry timing, overexposure, and buying market tops.
Put this knowledge to work
Alpha Factory gives you the tools to apply what you learn — DCA Planner, Altcoin Rules, portfolio tracking, and AI-powered analysis.
Start Free Trial