Cognitive biases in crypto investing come in many forms. Some biases affect how we predict the future (recency bias). Some affect how we assess our own skill (overconfidence bias). The three biases in this article affect a more fundamental function: how we process and evaluate information itself. Confirmation bias, anchoring bias, and availability bias each distort the way investors perceive and weigh evidence, which corrupts the quality of investment analysis at its foundation.
These biases are particularly insidious because they operate below conscious awareness: an investor experiencing confirmation bias does not feel like they are ignoring evidence. They feel like they are correctly evaluating information. The bias is invisible from the inside, which makes structural countermeasures more important than simple awareness.
All three biases are worsened by the crypto information environment: the high volume, emotional intensity, and social amplification of crypto commentary provides abundant raw material for each bias to distort.
Confirmation bias is the tendency to search for, notice, remember, and interpret information in a way that confirms your existing beliefs, while discounting or ignoring information that contradicts them. It is perhaps the most pervasive cognitive bias in investing and one of the most studied in psychology.
In crypto, confirmation bias produces the following pattern: an investor forms a bullish view on a specific asset. They then unconsciously filter their information consumption to favour bullish content: they read bullish analyses more thoroughly, find bullish arguments more convincing, and dismiss bearish arguments as uninformed or biased. Social media algorithms reinforce this by showing them more content similar to what they engage with. The result is an echo chamber in which the investor’s existing view is constantly reinforced regardless of the actual balance of evidence.
The most dangerous form of confirmation bias occurs when an investor has made a large public commitment to a thesis (told friends, written about it, or based a significant financial decision on it). Once committed publicly, the psychological cost of changing their view increases dramatically. They are no longer just revising an analysis: they are admitting they were wrong in front of others. This ego-protection motivation strengthens confirmation bias to the point where investors will rationalise mounting evidence against their position rather than acknowledge it.
The most effective counter to confirmation bias is the steelman exercise: deliberately seek out and engage with the strongest possible argument against your current investment thesis. Find the most well-reasoned bearish analysis of an asset you are bullish on, read it thoroughly, and evaluate it on its merits rather than looking for reasons to dismiss it. If you cannot identify any meaningful weaknesses in your bullish thesis after engaging with the best counterarguments, your confidence is justified. If the counterarguments raise issues you had not considered, your thesis needs updating.
The Capital Nexus newsletter presents balanced analysis of crypto market developments, providing the contrarian perspective that confirmation bias tends to suppress: Capital Nexus Newsletter.
Anchoring bias is the tendency to rely too heavily on the first piece of information encountered (the anchor) when making judgements. Once an anchor is set, subsequent information is interpreted relative to the anchor rather than evaluated independently.
In crypto, the most common anchor is the price at which you bought an asset. If you bought Bitcoin at AUD 80,000, that price becomes your psychological anchor. The asset is perpetually evaluated in relation to whether it is above or below AUD 80,000. This creates distorted decisions: you may hold a declining asset past your rational stop level because you are waiting for it to return to “your price” (the anchor); you may not buy more of an asset at a lower price because it feels like “paying more” relative to your paper loss.
The previous all-time high is another powerful anchor in crypto markets. Bitcoin’s 2021 high of approximately USD 69,000 remained a psychological anchor for millions of investors for years: people described Bitcoin as “down 70% from ATH” or “still below ATH” rather than evaluating it on its current fundamental merits. The anchor distorts valuation: an asset is not cheap or expensive relative to where it has been; it is cheap or expensive relative to what it is fundamentally worth.
When evaluating whether to buy, hold, or sell an asset, explicitly remove the anchor from the analysis. Ask: “If I did not already own this asset and knew nothing about its recent price history, would I want to buy it at today’s price?” If the answer is yes, the anchoring of your entry price should not prevent you from adding. If the answer is no, the anchor of hoping to “get back to even” should not prevent you from selling.
Availability bias is the tendency to assess the likelihood of events based on how easily examples come to mind, rather than on their actual statistical frequency. Events that are vivid, recent, or emotionally impactful are more cognitively “available” and are therefore judged as more probable than they actually are.
In crypto, availability bias produces two sets of distorted risk assessments. After dramatic bull market stories circulate (someone turned AUD 1,000 into AUD 1 million with a specific altcoin), the probability of achieving such returns feels much higher than it actually is: the vivid story is cognitively available, crowding out the statistical reality that the vast majority of similar bets produce losses. The realistic expectations for crypto returns guide provides the actual statistical context.
The reverse occurs after high-profile disasters. After the FTX collapse, Terra/Luna failure, or a major exchange hack, the probability of exchange collapse or project failure feels much higher than the base rate: the vivid recent experience is cognitively available and dominates the risk assessment. This leads to excessive caution that can cause investors to miss recovery opportunities, or to over-allocate to security measures at the expense of participation.
The corrective for availability bias is explicit base rate analysis: rather than relying on the vividness of memorable examples, deliberately research the actual statistical frequency of events. Before investing in an altcoin based on a 100x success story, research: what proportion of altcoins from the same vintage achieved 100x returns? What proportion lost 90%+ ? Replacing vivid anecdote with statistical frequency produces more calibrated risk assessment. The DYOR guide and the fundamental analysis of crypto guide provide the frameworks for evidence-based evaluation.
These three biases often interact. Confirmation bias selects which information reaches you. Anchoring bias distorts how you interpret that information relative to a reference point. Availability bias skews your probability assessments toward vivid examples rather than base rates. Together, they can produce a completely distorted picture of an investment’s prospects.
The structural defences are similar across all three: keep a trading journal that records your analysis at the time of decision (prevents post-hoc rationalisation); use the pre-trade checklist to force deliberate engagement with contrary evidence and explicit risk assessment; and review your trades regularly to identify which biases are most affecting your decisions. The herd mentality guide and the broader trading psychology section of Cryptopedia provides the full framework for developing the self-awareness and process discipline that manages these and other psychological challenges in crypto investing.
Shepley Capital Black Emerald membership provides independent research, market analysis, and psychological frameworks for Australian crypto investors who want to make better decisions: View Membership Options.
The three biases are: confirmation bias (seeking information that confirms existing beliefs), anchoring bias (fixing on an arbitrary reference point that unduly influences decisions), and availability bias (estimating probability based on how easily examples come to mind). All three systematically distort investment decision-making in crypto markets.
Investors with a bullish thesis on a coin will naturally gravitate toward bullish analysts, dismiss bearish arguments as FUD, and selectively remember confirming data. This creates a self-reinforcing echo chamber where the investment thesis is rarely genuinely challenged, increasing the risk of holding through major negative developments.
A common example: an investor buys Ethereum at $4,000 in 2021. When Ethereum falls to $1,500, they are anchored to $4,000 as the baseline and wait to sell until it returns to that level. This anchor is arbitrary (the current value of Ethereum is independent of what you paid) but powerfully influences the hold decision.
Vivid, emotionally resonant events are recalled easily and their probability overestimated. After a high-profile exchange hack, investors overestimate the probability of losing funds to hacking (which remains relatively rare for major exchange users following basic security practices) while underestimating the ongoing risk of not investing at all.
Active countermeasures include: deliberately seeking the highest-quality bearish case for any investment you are bullish on, following analysts you trust who have views opposite to yours, requiring yourself to articulate the bear case for any position before adding to it, and evaluating information sources based on track record rather than alignment with your views.
Ask yourself: would I make this decision if I had no prior knowledge of this asset's past prices? If the answer is no, anchoring bias may be operating. The current fair value of any crypto asset is determined by future prospects and current market conditions, not by where it traded at some point in the past.
Availability bias causes investors to overweight assets they have heard about recently (via news or social media) and underweight less-discussed assets with potentially stronger fundamentals. This leads to concentration in narrative-driven momentum plays rather than diversification based on independent analysis of multiple assets.
A bias journal records specific instances where you notice one of these biases operating in your thinking. By writing down the biased thought, identifying which bias it represents, and articulating the corrected framing, investors build self-awareness over time. Regular review of the journal reveals which biases are most prominent in your individual decision-making.
WRITTEN & REVIEWED BY Chris Shepley
UPDATED: AUGUST 2026