Daljit Dhaliwal: The Market Wizard Who Found His Edge by Reading His Own Journal

Most of the traders in the Market Wizards canon are hard to copy. You cannot become Jesse Livermore by reading about him, and you probably cannot replicate Richard Dennis’s turtle experiment from a laptop in your spare room. But every so often Jack Schwager finds someone whose method of getting good — not their strategy, their method of finding a strategy — is available to anyone with a trade history and the stomach to look at it honestly.

Daljit Dhaliwal is that trader. He appears in Unknown Market Wizards (2020), the volume Schwager devoted to individuals trading their own money rather than institutional capital, and his numbers are ridiculous: an average annual compounded return of roughly 298% over his first nine-plus years, an adjusted Sortino ratio of 10.3, and a monthly gain-to-pain ratio of 8.5. Those last two matter more than the first. A gain-to-pain ratio of 8.5 means he was extracting an enormous amount of return for the amount of downside volatility he endured. He was not swinging wildly and getting lucky. He was grinding, with the risk dialled down hard.

Key takeaways

• Profiled in Schwager’s Unknown Market Wizards, Dhaliwal reported an average annual compounded return of roughly 298% over his first nine-plus years, with a monthly gain-to-pain ratio of 8.5.
• He didn’t inherit his edge from a book. He found it by keeping a daily journal — including his feelings — and reading it back to see which trades actually made the money.
• That audit told him to abandon technical analysis: a small number of fundamental, event-driven trades were producing nearly all his profit.
• His risk rules are a written ladder: down 5%, halve size; down 8%, halve again; down 15%, stop. The decision is made before the pain, not during it.

The tennis player who quit the wrong sport

Dhaliwal’s first ambition was not markets. He was a promising junior tennis player in the UK and hoped to turn professional. That detail is more than colour. Junior tennis is a brutal education in exactly the two things that decide a trading career: performing under pressure, and losing repeatedly without falling apart. He gave up the racket for the screen, and brought the athlete’s relationship with practice and self-assessment with him.

The journal that told him he was doing it wrong

Here is the part of the story that should stop any retail trader cold. Dhaliwal kept a detailed daily journal of his trading — not just the market analysis and the reason for each trade, but how he felt. And then he did the thing almost nobody does: he read it back. He categorized his trades, sorted them, and looked for the common factors in the ones that produced his big wins.

What the journal told him was inconvenient. He had started out as a technical trader. But the record showed that a relatively small number of fundamental, event-driven trades were generating almost all of his profit. The charts were keeping him busy. The catalysts were paying him. So he did the rational and psychologically difficult thing: he moved away from the approach he had trained himself in, toward the one his own data endorsed.

He did not import an edge from a book or a mentor. He discovered it by auditing his own record — and then he had the discipline to act on what he found, even though it meant abandoning the way he had learned to trade.

This is the whole ballgame, and it is the reason Dhaliwal belongs on this blog more than almost any other Wizard. His edge was not a secret indicator. His edge was knowing what his edge was, which he only knew because he measured it. Compare that with the standard retail path: read about a strategy, adopt it wholesale, never check whether it works in your hands, and blame the market when it doesn’t.

“Know your edge” — the rule underneath the rules

Dhaliwal’s most quoted principle is deceptively plain: a trader must know his edge. If he isn’t clear about it, he won’t know which trades to focus on, or which trades deserve a larger position size. Read that second clause again, because it’s the operational payoff. Position sizing is not a risk formula applied uniformly to everything you do; it’s the mechanism by which you bet more on the setups your record proves you’re good at, and less on the ones you merely enjoy. Without the measurement, “conviction” is just a feeling — and a feeling is a terrible reason to double your size.

He pairs this with a borrowed line he attributes to Adam Robinson: genius is knowing you have a hammer and only looking for nails. The point, in his words, is that he needs to stick with what he does well. It sounds like humility. It is actually the most aggressive form of specialization there is.

His other core observation is subtler and worth stealing: the risk/reward on a trade is dynamic and can change dramatically while you hold it. A position that offered a great payoff at entry may offer a poor one an hour later, once price has moved and the catalyst has partly played out. So he stays flexible about covering part of a position as it moves in his favour, rather than treating his original target as a promise he made to himself.

The drawdown ladder: deciding before it hurts

Where Dhaliwal becomes genuinely instructive for anyone with a live account is risk. He runs a mechanical de-risking ladder, written in advance:

He also keeps stop-loss protection on his large positions. What makes the ladder powerful is not the specific percentages — yours will differ — but when the decision gets made. It is made in advance, in a calm room, and executed automatically. This is the exact inverse of what a drawdown does to an ordinary trader, which is to whisper that the way out of the hole is a bigger position. Dhaliwal’s system removes his own judgment at the precise moment his judgment is least trustworthy. Note the direction of travel: as losses mount, his risk goes down. For most retail accounts, the chart of position size against drawdown slopes the other way, and that single fact explains a large share of blown accounts.

Is he still trading?

Yes — he remains an active private trader, running his own capital and periodically sharing his rules and thinking publicly, which is part of why he’s one of the more accessible Wizards to learn from today. A necessary caveat, though, in the spirit of the man’s own honesty: the headline numbers above come from Schwager’s book and cover a specific stretch of his career, on an account size that permitted that kind of compounding. Nobody compounds at 298% forever, and you should not read those figures as a forecast, a current track record, or a target. The transferable asset here is the process, not the percentage.

From belief to behavior: run Dhaliwal’s audit on yourself

The beauty of Dhaliwal’s method is that it requires nothing you don’t already have. You have a trade history. He turned his into an edge by asking it four questions — and each one maps to something you can measure today.

Resources and further reading

• The primary source: Schwager, J. D. (2020), Unknown Market Wizards: The Best Traders You’ve Never Heard Of, Harriman House — the Dhaliwal chapter, including his performance statistics, risk rules, and journaling process.
• Performance context: Schwager’s return/risk metrics for Dhaliwal — average annual compounded return ~298% over nine-plus years, adjusted Sortino 10.3, monthly gain-to-pain 8.5 — as reported in the book.
• His rules in his own words: Dhaliwal’s widely circulated trading rules, including “know your edge” and the dynamic nature of risk/reward while a trade is held, plus his interviews around the book’s publication.
• The research behind the method: Barber & Odean (2000), “Trading Is Hazardous to Your Wealth,” on why concentrating on a genuine edge — and trading less outside it — is the reliable path.
• The wider series: Schwager’s Market Wizards books, for the comparison across generations of traders.

Frequently asked questions

Who is Daljit Dhaliwal?

A British discretionary trader profiled in Jack Schwager’s Unknown Market Wizards (2020), the volume devoted to traders running their own accounts. A former promising junior tennis player, he reported an average annual compounded return of roughly 298% over his first nine-plus years, with an adjusted Sortino ratio of 10.3 and a monthly gain-to-pain ratio of 8.5. He trades macro, event-driven setups and remains active.

What is Daljit Dhaliwal’s trading strategy?

Macro and event-driven — positioning around scheduled catalysts. He began as a technical trader and moved away from it after his own journal showed a small number of fundamental, event-driven trades were producing almost all his profit. His signature principle is “know your edge”: without clarity on it, you can’t know which trades to focus on or which deserve larger size.

What are Daljit Dhaliwal’s risk management rules?

A written drawdown ladder: beyond roughly 5% he halves position size, beyond about 8% he halves it again, and around 15% he stops trading until he’s ready to resume. He also keeps stops on large positions. The rules are set in advance, so the decision to de-risk is never made in the middle of the pain.

Why is Daljit Dhaliwal important for retail traders?

Because his method is copyable. He kept a daily journal — analysis, reasons, and feelings — then read it back and categorized his trades to find what actually worked. He discovered his edge by auditing his own record rather than importing one from a book. Any trader with a trade history can run the same process.

Trader profile in Gecko’s trading psychology series. Performance statistics, risk rules, and biographical details are drawn from Jack Schwager’s Unknown Market Wizards (2020) and Dhaliwal’s publicly shared rules and interviews, and reflect a specific period of his career; they are not current figures, a forecast, or a target, and returns of this magnitude are exceptional and not representative. Gecko has no affiliation with Daljit Dhaliwal or Jack Schwager. Gecko is an educational and informational tool. Nothing here is financial, investment, or trading advice. Trading carries substantial risk of loss.