Why Do Traders Keep Repeating Their Mistakes? Beware of These 5 Cognitive Traps
In the cryptocurrency market, there’s a phenomenon every trader should take time to think about:
Even though we know we shouldn’t blindly chase rising prices, we still can’t resist entering when prices surge. Even though we set a stop-loss in advance, when losses occur, we keep telling ourselves to wait a little longer. Even though we have a complete trading plan, a few consecutive wins make us start letting our discipline slip.
When the results turn out poorly, we tell ourselves: Next time, we’ll definitely be more rational.
But after a while, the same mistakes happen again.
So what exactly is the problem?
Sometimes the problem isn’t just a lack of technical knowledge or an inadequate trading plan. It’s that our decisions can be influenced by cognitive biases that are hard to notice.
Sometimes the hardest thing to control in trading isn’t market volatility, but how we interpret the market and how those interpretations change our behavior.
Today, we’ll look at five common cognitive traps and discuss practical ways to reduce their impact on trading decisions.
1. Confirmation bias: Why do we always want to prove we’re right?
Suppose you believe a particular digital asset is about to rise in price.
You then start looking for information that supports your judgment: bullish analyses, upward chart patterns, and positive market news.
When you encounter unfavorable information, you might dismiss it as short-term noise or think that other people don’t understand the market.
Gradually, the information you encounter increasingly supports your original judgment, but that doesn’t necessarily mean the judgment itself has become more reliable.
This is confirmation bias: people are more likely to notice, accept, or remember information that aligns with their existing views, while ignoring evidence that contradicts them.
This can lead to several problems:
Only look for signals that support entering a trade, without carefully examining contrary evidence;
Interpret every price rebound as a sign that the trend is about to resume;
When the original rationale no longer holds, be unwilling to admit that the assumptions may be flawed;
Keep looking for new reasons to justify losses that have already occurred.
How can you respond?
Before trading, don’t just ask: “What evidence suggests I might be right?”
Also ask: “What circumstances would indicate that my judgment might be wrong?”
You can write down three things in your trading plan in advance:
What is the basis for entering the trade?
What conditions would invalidate the original judgment?
If these conditions occur, what action should I take?
This won’t eliminate cognitive biases, but it can make decisions rely more on predefined criteria than on justifications found in the moment.
2. Recency bias: Why do recent events influence our judgment so strongly?
Suppose a strategy has been profitable for several consecutive trades recently.
You might feel that the market is becoming easier to predict, so you trade more frequently or even increase your position size.
Alternatively, if a strategy has had several consecutive losses recently, you might decide it has completely stopped working and rush to find a new trading method.
Both reactions may be influenced by recency bias.
Recency bias is the tendency to give too much weight to recent events when making judgments, while underestimating information from a longer time frame.
In cryptocurrency markets, where prices move quickly and news is updated frequently, this bias deserves particular attention.
But keep in mind: recent data is not worthless. Market conditions can genuinely change, and new information can alter your previous judgment. The key is not to draw long-term conclusions solely from what has happened recently.
How can you respond?
Keep separate records of short-term results and long-term evidence.
When reviewing your trades, look at:
The performance of your most recent trades;
The strategy’s performance over a longer time frame;
Whether the current market environment has changed substantially;
Whether the assumptions behind the original strategy still hold;
Whether recent results are sufficient to justify changing the rules.
Don’t assume you’ve mastered the market just because you’ve been profitable recently, and don’t conclude that all your previous research was worthless just because you’ve had recent losses.
3. Overconfidence: Why does risk awareness decline after a winning streak?
A winning streak can easily boost your confidence.
A reasonable degree of confidence can help you follow your plan, but when your confidence exceeds what the evidence supports, it can turn into overconfidence.
For example:
Believing you can accurately predict short-term market movements;
Gradually ignoring the risk limits you originally set;
Increasing the size of individual positions because you were right in your last few calls;
Attributing every favorable market outcome to your own ability;
Believing you can reproduce your past performance in any market environment.
The real problem isn’t making a profit; it’s that we may misinterpret why we made it.
A profitable trade may result from sound analysis, but it may also be influenced by a rising market overall, random fluctuations, or other factors.
So you can’t judge the quality of a decision based on the outcome alone.
How can you respond?
When reviewing each trade, separate these two questions:
First: Did this trade ultimately make or lose money?
Second: Given the information available at the time, did I make the decision using a reasonable process?
These two questions are not equivalent.
A trade made according to reasonable rules can still lose money, while a trade that broke the rules can make a profit by chance.
If you judge your decisions only by the final profit or loss, it’s easy to develop a misleading feedback loop.
4. Loss aversion: Why is it harder to make rational decisions after a loss?
When a trade incurs a loss, many people feel intense psychological pressure.
To avoid realizing a loss, some keep postponing their stop-loss; others add to their position, hoping to get back to breakeven quickly; and some rush into another trade to try to win back their losses immediately.
These behaviors may look different, but they can have a common cause: people aren’t just analyzing the market—they’re also trying to escape the discomfort of losing money.
Loss aversion generally refers to the tendency for people to react more strongly to losses than to equivalent gains.
In trading, it can lead to:
Being unwilling to exit a losing trade according to plan;
Taking on more and more risk to break even;
Exiting profitable trades too early while allowing losses to grow;
Shifting attention away from long-term decision quality and toward short-term profit and loss.
How can you respond?
First, decide how much risk you’re willing to take before opening a position, rather than waiting until a loss occurs to decide.
Next, write down your stop-loss conditions, position limits, and rules for pausing trading in advance.
Also, if you notice that you want to trade because you “have to win it back,” pause your trading and review the original rationale for the trade.
Most importantly, a loss that has already occurred is not a reason to take on more risk.
The market won’t change its next move just because you need to break even.
5. Herd mentality: Why do we want to enter a trade when others are making money?
Social media and trading communities are full of market opinions, profit screenshots, and trending assets every day.
When more and more people discuss an opportunity, it’s easy to feel that if you don’t get involved now, you’ll miss out.
This is a situation where herd mentality can have an impact.
The problem is that you usually see only the information other people are willing to share publicly.
You may not know their actual cost basis, position size, risk tolerance, holding period, or whether they have other trades they haven’t disclosed.
Even if their analysis is valuable, that doesn’t mean the same opportunity is right for you.
Different traders may have completely different financial circumstances, risk tolerances, and trading plans.
How can you respond?
When you see a popular opinion, don’t rush to follow it. First, check:
Is there an independent basis for this judgment?
Do I truly understand the asset and its risks?
Does the current price still meet my trading criteria?
If I don’t participate, is it only because I’m afraid of missing out?
If my judgment is wrong, how will I respond?
Someone else’s confidence isn’t your evidence, and someone else’s profit isn’t your opportunity.
6. Turn cognitive traps into a practical self-checklist
Recognizing these psychological biases is only the first step. More important is building a repeatable way to check for them.
Before each trade, ask yourself:
Am I judging based on evidence, or just trying to prove I’m right?
Have I changed my long-term judgment because of my last few wins or losses?
Am I prepared to take on more risk than I originally planned?
Am I tempted to increase my trading because I’m eager to win back losses?
Am I tempted to enter a trade just because everyone is talking about an asset?
After a trade, check:
Did I follow the rules I set in advance?
How did the actual outcome differ from my original assumptions?
What new evidence did this trade provide?
Did I judge the decision-making process incorrectly because of the final profit or loss?
What specifically should I improve next time?
Consider adding these questions to your trading journal and recording your answers regularly, rather than only thinking of them after a loss.
If you notice that a particular bias frequently affects you, try making targeted adjustments to your process—for example, checking for contrary evidence, setting a cooling-off period before trading, or requiring yourself to write down your full rationale before opening a position.
These methods can’t guarantee that you’ll avoid every mistake, but they can help you notice sooner how emotions and cognitive biases are affecting your decisions.
7. Real progress doesn’t mean never making mistakes
It’s easy for traders to think of progress as making more accurate predictions, winning more often, or finding a strategy that works forever.
But a more meaningful kind of progress is gradually building a decision-making process that can identify mistakes, record evidence, assess risk, and improve over time.
You can’t control every market change or guarantee that every judgment you make will be correct.
But you can try to control how you gather information, set rules, follow your plan, and respond when outcomes differ from your expectations.
Mature trading doesn’t require you to always be right. It means avoiding the mistake of continually increasing the cost of an error just to prove yourself right.
For the ONEA community, we hope to discuss more than just prices and short-term opportunities. We also want to explore how to understand risk, protect our decision-making abilities, and develop more rational judgment in complex digital asset markets.
Three questions for the community
Which influence do you think you’re most susceptible to: confirmation bias, recency bias, overconfidence, loss aversion, or herd mentality?
When a trade loses money, do you first review the original rationale, or are you more likely to immediately think about winning the money back?
Do you have a regular trading journal or review process that helps you identify recurring mistakes?
We welcome you to share your experience. We’re discussing these questions not to criticize anyone for being irrational, but to better understand how we make decisions.
Coming up next: How can you build trading discipline that you can truly maintain over the long term? We’ll turn the psychological biases discussed today into practical processes, exploring how to reduce impulsive decisions, review your trades consistently, and maintain consistent risk management standards in different market environments.
Follow ONEA to keep learning about Web3, digital asset security, and risk management.
This article is for trading education only and does not constitute investment advice or a promise of returns. Digital asset trading involves significant risk. Please make decisions carefully based on your own circumstances.
