The 10 psychological biases you need to overcome
Original author: Koroush AK
Original translation: TechFlow
Your biggest trading mistakes are not technical, but psychological. These biases destroy countless traders.
Avoid the following at all costs:
1. Anchoring Bias
Traders focus on one price (anchor), which may influence their decision making.
If Trader A got into crypto when BTC was at $52,000, then $61,000 BTC would seem expensive.
If Trader B gets into crypto when BTC is at $71,000, then BTC at $61,000 seems like a bargain.
2. Recency Bias
This is the tendency to remember the most recent information and to value it most.
Traders may carry information from recent trades into the next trade, which can lead to overconfidence and losses.
3. Loss Aversion
Traders feel their losses more acutely than their gains.
The pain of losing $100 may be greater than the pleasure of making $100.
This bias can cause traders to give up profits too early because they worry that these gains will turn into losses.
4. Endowment Effect
When traders hold onto an asset, they tend to overestimate its value.
This emotional attachment makes it difficult for them to sell at a loss, or even at a fair price, because they rely more on their own expectations than on market realities to judge the future price of the asset.
5. Herd Mentality
There are risks whether you blindly follow the crowd or deliberately go against the crowd.
Stick to your trading plan and avoid acting impulsively based on the behavior of the crowd.
The behavior of the crowd should only be taken into account when conducting an objective market sentiment analysis.
6. Availability Heuristic
Traders tend to place too much weight on information that is most emotionally charged or recent.
For example, the recent market crash may make traders overly cautious, even though market conditions have changed.
7. Survivorship Bias
Systematically overestimate the probability of success.
We often see stories of success, while stories of failure are often forgotten.
8. Framing Effect
The way information is presented influences decision making.
Traders emotions and confidence can influence their risk assessment.
Positive emotions may lead to underestimation of risk, while negative emotions may lead to overestimation of risk.
9. Confirmation Bias
Traders tend to look for data that supports their beliefs.
If you are bullish on an asset, you will look for all the information that supports the bullishness of that asset and ignore the bearish data.
10. Captain Hindsight
In hindsight, it’s all obvious.
After an event occurs, traders often feel that they had foreseen the outcome.
This bias can lead to overconfidence in future forecasts and unrealistic expectations about one’s own trading abilities.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
Musk: I'm beginning to think that the Department of Government Efficiency (DOGE) has real potential
The total market value of stablecoins increased by 2.46% in the past week
US spot Ethereum ETF had a net outflow of US$59.86 million yesterday