15 Mental Models All Traders Should Know
A trader's ability to make informed decisions is profoundly influenced by their understanding of various mental models. These cognitive frameworks, rooted in psychology and probability, shape how traders perceive and respond to market dynamics. In this comprehensive guide, we delve into 15 crucial mental models that can empower traders to navigate the markets more effectively.
1. Scientific Method
Day trading is a constant experiment. Each trade serves as a hypothesis, and traders gather data to refine their strategies. By meticulously documenting trades and analyzing the results, day traders can improve their methods over time. If you aren’t currently doing trade review or have a trading playbook, this is a strong way to improve your results.
2. Availability Bias
Imagine a day trader who witnessed a sudden market crash. This vivid event can create a bias, making them overly cautious and hesitant to enter new positions. Recognizing this bias helps traders remain objective and avoid overreacting to isolated incidents. We have talked about the different types of trading days before - One area traders usually have an availability bias is the day after a large trend day, they expect another trend day. More often than not, the following day is not a trend day and the trader ends up overtrading and taking losses.
3. Misconceptions of Change
Day traders often face rapidly changing market conditions. Understanding the difficulty of predicting these changes can prevent overconfidence and encourage a focus on risk management and adaptability. When the market regime changes, new traders usually suffer, simply because they don’t recognize the change quickly enough. This is why it is important to trade with a group of veteran traders - If you struggle with this one, join us in the Trader’s Thinktank.
4. Law of Small Numbers
Day traders must be cautious when analyzing small datasets, such as short-term price movements. Relying on a single trade's outcome to assess a strategy's success can be misleading. Instead, they should consider larger samples of trades to draw meaningful conclusions. I have seen traders compile two weeks of their trading data and start adding size based on this sample size. This usually leads to outsized losses. Before you start making changes to your sizing, you should aim for a sample size of 60-90 trading days minimum.
5. The Black Swan
In day trading, unexpected events can lead to significant losses. Mental models that account for uncertainty and tail risks, like the Black Swan, prompt day traders to incorporate risk management measures and avoid putting all their capital into a single trade.
6. Hindsight Bias
Day traders may look back at past trades and think they should have predicted certain price movements. Hindsight bias can lead to poor decision-making by assuming the past was more predictable than it actually was. Traders must analyze past trades objectively to improve future strategies. There are frequent moves in the market for which we will have NO EDGE. This is normal - It is not our job as traders to capture every wiggle in price.
7. Bayes' Theorem
Bayesian thinking is invaluable for day traders. It involves continuously updating beliefs and strategies as new information emerges. For example, if a news event impacts a stock's fundamentals, a day trader should adjust their strategy accordingly. If price breaks a key technical level, then the setup changes and the thinking around how to trade that stock changes as well.
8. Anchoring
Day traders may anchor their expectations to recent price levels. For instance, if a stock has been trading at $50 for a while, they might expect it to return there. However, anchoring can lead to missed opportunities or excessive risk-taking. Traders should consider multiple factors, not just recent prices when making decisions.
9. Regression to the Mean
Day traders often encounter extreme price movements in the short term. Recognizing that these are likely to revert to more moderate levels can help traders avoid chasing unrealistic gains or panicking during downturns. Mean reversion is a very important concept to understand for index or futures traders.
10. Aversion to Losses
Emotions play a significant role in day trading. Aversion to losses can lead traders to exit winning positions too soon or hold onto losing ones. Implementing stop-loss orders can help mitigate these emotional biases. Loss aversion (also known as prospect theory) can hold traders back from becoming profitable. It is mentioned as one of the key points in our How Long Does it Take to Become a Consistently Profitable Trader? article.
11. Cognitive Dissonance
Day traders may face conflicting beliefs when a trade goes against their expectations. Resolving cognitive dissonance involves objectively assessing the situation and being willing to adjust or exit a position if necessary. Remember that price is the ultimate arbiter.
12. Margin of Safety
Day traders should avoid risking their entire capital on a single trade. A margin of safety ensures that even if a trade doesn't go as planned, the trader can continue trading without catastrophic losses. Risk management is key to survival.
13. Feedback Loops
Positive and negative feedback loops can accelerate price trends in day trading. Traders must recognize when these loops are in play and have strategies in place to capitalize on or protect against them. The main feedback loop to understand in markets is that price drives sentiment.
14. Occam's Razor
In day trading, simplicity is often key. Complex strategies can be challenging to execute and prone to errors. Traders should stick to straightforward methods that are easier to manage in a fast-paced environment. Remember that less is more!
15. Circle of Competence
Day traders should focus on markets and assets they understand deeply. Trying to trade in unfamiliar territories can lead to losses. Staying within their circle of competence allows day traders to make more informed decisions.
Conclusion
Mastering these 15 mental models is akin to sharpening the tools of the trade. By incorporating these frameworks into their decision-making processes, day traders can enhance their ability to understand themselves and other market participants. Trading psychology is not just about charts and indicators; it's about understanding the intricate workings of the human mind and applying this knowledge to achieve lasting success. Embrace these mental models, and you'll be better equipped to navigate the complex and ever-changing landscape of day trading.