I have always liked the idea in Atomic Habits that the results of our work are often delayed. We naturally expect progress to be somewhat linear, where putting in more effort, continuing to learn, and correcting mistakes should eventually lead to better results. Most worthwhile pursuits do not seem to work that way, and investing certainly does not.

I have experienced this disconnect plenty of times in the markets. There have been periods where I was learning, refining my process, and becoming more thoughtful about the decisions I was making while the short term results seemed to suggest otherwise. There have also been times when an investment produced a favorable outcome despite a decision making process that, in hindsight, I would not want to repeat. Over time, those experiences have made separating the quality of a decision from its immediate outcome one of the most important parts of how I think about investing.

Results obviously matter. An investment process ultimately has to produce attractive results over time for it to have value. The difficulty is that there can be a significant disconnect in the short term between the quality of a decision and the return it produces. A well constructed investment can lose money, while a poorly constructed one can make money. Judging every decision solely by the resulting P&L can therefore teach exactly the wrong lessons.

A Constant Feedback Loop

One of the unique characteristics of investing is how immediate the feedback can be. Every day provides another opportunity to measure performance, compare against a benchmark, reconsider something that was sold, or watch an opportunity that was passed on continue higher. There is almost always new information available to make an investor question a previous decision.

That objectivity is valuable. Markets eventually expose weaknesses in an investment process, and poor results across a meaningful sample should never be dismissed simply because the original decisions appeared reasonable. At the same time, I have learned that this constant feedback becomes much less useful when the evaluation period becomes too short. If every day or every individual position becomes a referendum on whether a strategy is working, it becomes remarkably easy to start making decisions for the purpose of improving the immediate result rather than continuing to execute the process that was designed to produce results over time.

I have experienced versions of this throughout my own development as an investor. A loss can make the next opportunity feel more important. A missed move can make patience more difficult. A period of underperformance can create pressure to change something before there is enough evidence to determine whether anything actually needs to change. Even a strong period can introduce its own problems if favorable outcomes begin validating decisions that were not necessarily repeatable.

In each case, the danger is the same. The outcome of the previous decision begins influencing the quality of the next one. Some of the most useful lessons I have learned in markets have come from recognizing when recent results were pulling me away from principles I already knew were important. The harder an investor tries to force a particular short term result, the easier it can become to abandon the behaviors that provide the best probability of producing attractive long term outcomes.

Evaluating the Decision

The easiest question to ask after closing an investment is whether it made money. A more useful question is whether the decision was sound given the information available when it was made.

Suppose I identify a company demonstrating strong relative strength within an important theme. The fundamental story is improving, price and volume behavior are constructive, and the broader market environment is supportive. I establish a position at a point where the downside can be clearly defined, but the stock ultimately fails and the position is exited at a loss. It is easy, with the benefit of hindsight, to conclude that purchasing it was a mistake. That conclusion ignores the uncertainty that existed when the decision was actually made.

If the evidence justified the position, the potential reward adequately compensated for the risk, and the position was reduced or exited when the original evidence deteriorated, the loss may simply represent the cost of participating in a probabilistic environment.

The opposite scenario is equally important. An investor can chase a stock after a significant advance, establish a position without a sensible way to define downside, and then watch the stock continue higher. The resulting profit does not necessarily make the original decision a good one. In some respects, those outcomes can be more dangerous because the market has rewarded behavior that may prove costly when repeated.

This is part of what makes markets such a difficult learning environment. The feedback is immediate, but the feedback is noisy. Developing as an investor requires learning from outcomes without allowing every outcome to teach a lesson that may not actually be there.

A Process Built Around Uncertainty

The longer I have spent in markets, the less interested I have become in trying to predict exactly what will happen next. I am much more interested in identifying situations where multiple forms of evidence align and the potential reward appears attractive relative to a clearly defined amount of risk.

For me, that process begins with market leadership. I want to identify companies demonstrating superior relative strength and constructive price and volume behavior, particularly when that leadership exists within an important theme and is supported by a fundamental catalyst or evolving narrative. From there, I want market structure to confirm the thesis and provide an opportunity to establish a position where I can define what evidence would prove the original idea wrong.

None of those conditions guarantee a successful investment, nor are they intended to. The purpose of an investment process is not to eliminate uncertainty. It is to create a repeatable framework for making decisions within it.

If I can consistently identify situations where the evidence is favorable, define risk before committing capital, respond appropriately when the evidence changes, and give successful positions sufficient time to develop, then the outcome of any individual investment becomes less important. What matters is whether that process produces favorable asymmetry across a sufficiently large sample of opportunities.

Losses and the Mathematics of Asymmetry

My view of losses has changed considerably over time. Earlier in my investing career, I naturally associated improvement with becoming increasingly accurate and therefore avoiding more losses. I now think that framing misses an important part of how an asymmetric investment process works.

If the objective is to participate in meaningful trends while maintaining clearly defined downside, unsuccessful investments are unavoidable. A loss by itself does not necessarily indicate that the process failed. The more relevant questions are whether the opportunity was worth pursuing, whether the amount of risk was appropriate, and whether the position was managed correctly once the original evidence changed.

The other half of that equation is allowing successful investments to matter.

This has been one of the more important lessons in my own development. There is a natural psychological appeal to realizing a gain once an investment has worked. Protecting a profit can feel prudent even when very little about the underlying thesis has deteriorated. The problem is that an investment process willing to accept a number of controlled losses also needs to preserve the possibility that a smaller number of successful positions can become disproportionately meaningful.

For that reason, I generally do not believe every successful investment needs a predetermined upside target. Positions can be reduced as circumstances and risk change, but as long as leadership, trend, and the underlying thesis remain intact, I would rather allow the market to provide evidence that a move is ending than decide in advance how successful an investment is allowed to become.

That relationship between controlled downside and open ended upside is central to how I think about risk. The objective is not simply to lose less when wrong. It is to create enough asymmetry that exceptional opportunities have the ability to meaningfully outweigh the inevitable unsuccessful ones.

Process Must Ultimately Be Validated

There is an important qualification to all of this. Focusing on process cannot become an excuse for ignoring results.

If a strategy consistently produces poor outcomes across a meaningful sample, then the process needs to be examined. Selection criteria may be ineffective, the market environment may have changed, losses may be too large, successful positions may be managed too tightly, or what appeared to be an edge may not be sufficiently robust. An investor should be willing to consider all of those possibilities.

The distinction I find useful is between evaluating an individual decision and evaluating a body of decisions. One losing investment says relatively little about the quality of a strategy, just as one exceptional winner proves very little. A sufficiently large collection of decisions provides much more useful information. Over time, I can evaluate whether the process is consistently identifying leadership, whether downside is being controlled, whether winners are sufficiently large relative to losers, whether capital is being deployed in appropriate environments, and whether the strategy is actually being executed as intended.

That last point is particularly important because I have come to believe that investor behavior cannot really be separated from investment strategy. A process that looks exceptional on paper has limited value if it cannot be consistently executed when actual capital is involved. Understanding the conditions under which I make my best and worst decisions has therefore become just as important as refining the fundamental and technical characteristics I look for in an investment.

I know that my decision making tends to improve when I am patient and selective, when I am focused on genuine market leadership rather than feeling obligated to maintain constant exposure, and when risk is defined before a position is established rather than rationalized afterward. Building a process around those observations is not separate from investment strategy. It is part of it.

Allowing the Results to Develop

There is something uncomfortable about making a decision you believe is correct without immediately being rewarded for it. We naturally want evidence that the work is working, and when that evidence does not appear, the temptation is to change something or find a way to force progress.

Markets rarely provide that reassurance on our preferred schedule. There will be periods where few opportunities fit the process, periods where several well constructed investments fail consecutively, and periods where very little seems to happen despite disciplined execution. There can also be periods where a relatively small number of exceptional opportunities account for a disproportionate amount of the progress that seemed absent beforehand.

I am still learning how to navigate that tension, and I suspect I always will be. Separating process from outcome is much easier when results are favorable than when they are not. The objective is not to become indifferent to performance, but to evaluate performance over an appropriate time horizon while refusing to allow the outcome of one decision to dictate the quality of the next.

Ultimately, I want to be able to look back at an investment and ask whether I identified genuine leadership, whether the evidence supported the thesis, whether the downside was appropriately defined, whether I responded when the evidence materially changed, and, when I was right, whether I gave the investment enough time and flexibility to become meaningful. Those are the elements of the decision that can actually be controlled.

That philosophy is at the center of the investment process I am developing through GB Capital. Find leadership. Define risk. Let exceptional trends develop. Individual outcomes will always contain an element of uncertainty, but a disciplined process provides a framework for repeatedly approaching that uncertainty with consistency, selectivity, and an appropriate respect for risk.