One of the most seductive ideas in trading is that somewhere out there is a real edge waiting to be discovered.
Something measurable.
Something statistically significant.
Something mechanically reproducible.
Find enough data. Test enough variables. Build a large enough sample. Remove discretion. Eventually, you will uncover the structural inefficiency that proves you have an edge.
Only then are you really trading.
Until then?
Maybe you’re just gambling.
I understand that argument much better than some people might think. I’ve spent years thinking about it.
And I think it starts with a fundamental misunderstanding of what kind of game we are actually playing.
Markets are not deterministic
This sounds almost trivial.
It isn’t.
Markets are NOT deterministic.
Read that again.
And then actually think about what it means.
A deterministic system is one where a given set of inputs produces a predictable output. Understand the variables well enough and you can determine what happens next.
Markets don’t work like that.
The same technical structure can produce completely different outcomes.
The same breakout can expand or fail.
The same setup can work beautifully on Monday and get destroyed on Tuesday.
The same information can create different reactions depending on positioning, expectations, liquidity, participants and countless variables we don’t even observe.
Charts do not predict price.
Yet an enormous amount of trading research is ultimately an attempt to make this fundamentally uncertain environment more deterministic.
Find the variable.
Find the pattern.
Find the statistical tilt.
Prove the edge.
I think there is value in all of that.
I just don’t think it solves the game.
The opponent moves
Imagine preparing to fight a highly skilled boxer.
You study hundreds of his previous fights and discover something interesting.
Before throwing his biggest right hand, he takes a small step backwards with his left foot 72% of the time.
That’s useful information.
You found a pattern.
Maybe even an edge.
So you build your strategy around it.
Left foot moves. You attack.
Except you’re not fighting a spreadsheet.
You’re fighting another human being.
He notices what you’re doing.
Next round, he deliberately steps backwards with his left foot.
You recognize your statistically validated signal.
You attack.
And walk straight into his counter.
The very act of exploiting the pattern changed the game.
That’s much closer to how I think about markets.
Structural inefficiencies absolutely exist.
But markets are incredibly efficient at discovering and closing them. The more capital chasing an inefficiency, the less attractive it becomes. The more sophisticated participants, technology and AI become, the faster that process gets.
You are competing in a constantly moving system.
So why would I expect my edge to be static?
I want structure, not certainty
This doesn’t mean I throw statistics, systems and rules out of the window.
Quite the opposite.
I want as much structure as possible.
I want repeatable setups.
I want defined risk.
I want a consistent process.
I want to know which situations historically tend to matter.
I want to study my trades.
I want to understand what works and what doesn’t.
But I don’t expect my system to tell me what happens next.
Its job is different.
Its job is to tell me:
This situation is in play.
Then I watch.
I wait.
I look for commitment.
I look for imbalance.
I look for traders getting trapped.
And then experience and pattern recognition decide whether there is actually something worth risking money on.
That part is dynamic.
Call it discretion.
Call it intuition.
Call it experience.
I don’t particularly care what you call it.
It is what happens when you expose yourself to the same families of situations thousands of times and slowly become better at recognizing subtle differences between them.
The obsession with proving the edge
There is a strange trap here.
The more desperately you want certainty, the more tempted you become to eliminate everything that cannot easily be measured.
But what if some of the value sits precisely there?
Suppose my system identifies 100 technically valid situations.
I trade 12 of them.
The interesting question isn’t simply whether the setup itself has positive expectancy.
It’s why I rejected the other 88.
Maybe the answer can eventually be completely quantified.
Great.
Maybe it can’t.
That doesn’t automatically make the selection meaningless.
And reducing the process until everything is mechanically testable may leave you testing something completely different from the process that actually produced the trades.
This is where I think many discussions about discretionary trading go in circles.
Someone asks:
“Can you prove that your discretion adds alpha?”
Maybe I can’t.
But that’s different from proving that it doesn’t.
The edge might not be where you think
My view of edge has changed substantially over the years.
I used to think the objective was to solve the market.
Today I think that is the wrong objective.
My system gets me into the right game.
My experience helps me decide when to play.
My behavior determines whether I can actually extract anything from it.
And that last part matters enormously.
You can have the greatest theoretical setup in the world and still destroy it by chasing, re-entering, oversizing, cutting winners, holding losers and constantly changing your behavior based on the outcome of the previous trade.
Interestingly, inexperienced traders manage to lose money with remarkable consistency in a supposedly random environment.
That observation alone should make us think.
Maybe the opportunity isn’t only in discovering some hidden structural inefficiency.
Maybe part of the opportunity is learning to behave radically differently from the people consistently getting trapped.
A hybrid game
So I don’t believe the answer is mechanical trading versus random gambling.
I think discretionary trading at its best is hybrid.
Mechanical structure.
Repeatable setups.
Defined risk.
Dynamic pattern recognition.
Adaptive decision-making.
Disciplined execution.
Like the boxer, I study my opponent.
I know his tendencies.
I train the same punches thousands of times.
I have a strategy before entering the ring.
I protect myself at all times.
But I don’t decide beforehand that exactly 3 minutes and 42 seconds into the fight I will throw a right hook because my historical dataset says that’s when right hooks have the highest expectancy.
I wait for the opening.
And when I see it, I strike.
Will I ever be able to prove beyond doubt that what I call intuition isn’t partly randomness?
Probably not.
Could some of what I currently believe to be my edge turn out to be an illusion?
Absolutely.
I’m perfectly comfortable with that.
I will continue studying it. I will continue questioning it. I will continue adapting when markets change. And above all, I will continue managing risk in case I am wrong.
But I’m not going to stop doing something that pragmatically works for me because I haven’t satisfied an abstract standard of certainty that may never be attainable in a dynamic, non-deterministic game.
If one day it stops working, I’ll adapt.
Until then, I don’t need to prove that I’ve solved the market.
I’m in the making money business, not the proving something business.