8/26/2026 - The last post focused on the intensity of market study and performance review as a key element of trading success. Reading through the interviews of the Market Wizards, it's clear that their training and their preparation are conducted over long hours of deep concentration. There is nothing casual about their market routines. Each practice, each review, each preparation for the new market day is a workout. For that reason, the most successful traders are the most focused and take away more from their time in and out of markets than average traders.
In his book Mindset Secrets for Winning, Market Wizard Mark Minervini advises, "To accelerate your improvement and take your performance to the highest level, you need to practice in a way that builds both your physical and mental capacity, and in a way that strengthens your self-image" (p. 159). In other words, the best way to learn trading is to treat the learning as *training* and use learning processes to build a winning psychology. How we learn trading and how we prepare for each trading day has to be a psychological workout if it is going to build our endurance, our competitive determination, and our resilience.
There is one word that should always give you pause if you're looking for help with your development as a trader. That is the word "easy". If someone is promising you an easy path to success, they are confessing that their work will not build your ideal mindset. No one ever cultivated and sustained the drive to win by opting for "easy". "Easy" is for those who wish to avoid effort. Learning trading cannot be comfortable if it is going to be successful.
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8/25/2026 - As part of writing my next book, I am reviewing all the Market Wizards books, as well as other texts from accomplished traders. The goal is to get to the heart of trading greatness. Here are four elements of trading success that I have noticed repeatedly:
1) Intensity of market study - Viewing, playing, and replaying market action every day and carefully noticing patterns that characterize the best trading opportunities in different market conditions and different volume/volatility regimes. This latter point is crucial: opportunity varies as a function of *who* is in the market;
2) Intensity of execution study - Once you clearly observe the promising trading patterns in different market environments, drill down to very short-term time frames to observe how those opportunities set up. The goal is to identify the ideal points of execution for each of the market patterns you observe. Ideal execution enables you to trade each opportunity with superior reward relative to risk. There will be different execution patterns for each market pattern you observe across market conditions.
3) Intensity of trading review - Once you've started trading the market and execution patterns that you've intensively studied, you then want to replay and review each trade to see what you did well and what you could have done better. Each trade has to become a learning lesson, reinforcing your strengths and correcting your weaknesses.
4) Intensity of teamwork/mentoring - Share the results of the work above with one or more developing and experienced traders engaged in the same processes. Drill down on what they have been doing so that you ensure that you learn something new and promising from each sharing and that they are learning similarly from you. This sharing and learning will reinforce what you're learning, expand your mastery, and keep you focused and motivated.
The intensity of your learning process and your growing sense of mastery will be the best supports for your trading psychology. Great traders, like great athletes, are always in training--and they use their training to stay focused and motivated and to keep growing and learning new things.
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8/24/2026 - Suppose the experience and wisdom of a mentor could be captured by an artificial intelligence platform and used to aid in training developing traders. Indeed, suppose that multiple mentors could be available through AI so that different perspectives could be accessed by the developing trader at any time. This possibility was unthinkable years ago, but it is rapidly becoming a reality.
I'm not convinced that AI mentoring could entirely substitute for the value of direct human interaction, just as AI-delivered psychotherapy is not as effective as therapy delivered by a live, experienced psychologist. One important reason for this is the value of human relationships and our ability to internalize emotional experiences through our connections with others. Just as an AI parent could not properly socialize an infant, the AI mentoring platform--even accompanied by realistic avatars--is unlikely to replicate the experience of a caring, involved mentor. When a learner is inspired by a mentor and greatly desires to live up to the mentor's example, great things can happen, whether it's in the military, in learning the arts, or in developing trading prowess.
But just as a trading journal can help us review performance, identify strengths and weaknesses, and set goals, the AI mentor can help guide our day to day development. It's useful to think of AI as a greatly enhanced journaling, learning, and feedback tool rather than as a mentoring replacement.
So back to the topic of the recent posts: How can we best learn trading? We learn when we are deeply engaged in identifying market patterns, structuring our trades to exploit those patterns, managing and sizing those trades effectively, and using market reviews to set goals and adapt to market changes. Teaming up with other dedicated traders can greatly enhance and accelerate our development and, soon, artificial intelligence will become an indispensable component of the learning/mentoring process.
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8/23/2026 - The previous post emphasized that, in professional settings, people who are interested in learning to trade are first hired as junior analysts. They use their analytical skills to identify assets that are mispriced, and--with experience--they recommend trades based upon their analyses. Once the analysts have experience and success behind them, their recommendations are tracked for P/L. Indeed, at many firms, there is P/L attribution for every trade that is in the book. If the analyst's ideas are proving to be profitable, the analyst will be given a "sleeve" of capital to actually trade those ideas. This is done with the supervision and mentorship of the senior portfolio manager, so that there is ongoing learning/training. If the P/L of this beginning account is favorable and if risk is managed well, the account will grow and the analyst will become a co-portfolio manager.
So we can see that the way a new team member learns trading is to first learn "idea generation", get feedback/mentoring on their research and the quality of the ideas they generate, and then learn trading their ideas--again with teaching and mentoring. As a result of this very structured process of talent development, the success rate of new team members is astronomically higher than the success rate of traders who attempt to learn trading on their own.
What can an individual interested in learning to trade do to increase their odds of success? The key is to find trading communities with likeminded members who are willing to team up, share ideas, review performance, and hold each other accountable. Yes, there are many communities where members watch videos and take courses. What is important, however, is to actively engage in teams where that learning--and the application of the learning--can be shared.
Look at how physicians are trained. Look at how soldiers are trained. Look at how performing artists are trained. Always there is performance, there is mentoring and deep review of performance, and there is application of the learning. You don't perform surgeries, go into combat, or perform on the Broadway stage until you've had significant training. It's great when trading is your dream. If you're trying to do it all on your own with a few videos and online courses, it's no longer a dream. It's a fantasy.
The next post will address the role of AI in accelerating the learning of trading.
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8/21/2026 - Yesterday's post focused on some of the shortcomings that we see in the education and training of traders. Much of that training is conducted online, because that is what creates scale--and income--for the instructors. But is that ideal for generating trading success? Let's take a look at professional trading firms and see how they train their talent.
The first big difference at hedge funds and similar trading organizations is that new talent is hired. Typically they are hired by a team and typically they report to a more experienced, senior team member who supervises their efforts. At a hedge fund, they are hired as junior analysts, tasked with the responsibility for gathering the information needed for the team to make informed trading decisions. Thus, for example, at a fund trading individual stocks, the junior analysts will follow a group of companies within an industry and stay on top of earning reports, news developments, and communications with the managements of their companies to identify when the stocks of those companies are compelling buys, holds, or sells.
Here is what's key: The junior analyst is hired because they have some skill set/talent that is valued by the team. For instance, they might have programming skills, statistical analysis experience, or relevant experience from an internship during their education. They apply their skills and experience to their work, but they are always supervised by a senior analyst. That senior analyst reads and reviews all of their work and provides feedback about good ideas, not so good ideas, and further research that needs to be done. Thus there is constant feedback about idea generation and the improvement of the quality of ideas. Such supervision and mentoring lies at the heart of learning and professional development.
Teams are mentoring factories. This lies at the heart of their success in producing trading talent.
The treatment teams in medical schools consist of a senior (attending) physician, senior resident physicians training in their specialties, junior residents supervised by the seniors, and medical students supervised by the junior residents. "Each one teach one" is the motto. We learn by teaching and we learn by being taught...at higher and higher levels of responsibility. Elite training is never accomplished in isolation.
The intensive training within trading teams typically includes both fundamental analysis (factors impacting the demand for the company's goods and services) and technical analysis (factors reflecting demand and supply for the company's stock). The idea is to be more rapid than the competition in identifying when a fundamentally solid investment is now in demand, as well as when an investment that has been in demand is now no longer compelling in its fundamentals. These ideas are conveyed to the portfolio managers, who are responsible for taking the research and ideas from the analysts and turning those into actual trades in the team's portfolio.
Thus, both the junior and senior analysts have the opportunity to see how their work translates into actual trades and P/L.
So, what we see is that the first principle in learning how to trade is understanding what goes into good trades and then practicing idea generation with intensive supervision, feedback, and mentoring. When the junior analysts become sufficiently experienced and successful, they are promoted to the role of senior analysts. They share their ideas more directly with the portfolio managers, and they take on juniors for supervision. Learners progress by becoming mentors. In the next post, we'll see how these learners/mentors get to the point of actually trading their ideas--and we'll look at how individual traders can gain the benefits of team-based training.
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8/20/2026 - Over the years, there has been no lack of books, websites, videos, and courses promising to bring trading success to developing traders. Indeed, we're flooded with offerings from aspiring gurus, promoting videos that outline market patterns, illustrated with handpicked examples. Soon we'll see more of these patterns offered by AI tools, alerting traders to trends, breakouts, etc.