Daljit Dhaliwal: The Event Trader Who Turned Risk Control Into an Art

Last reviewed: August 2026. Sources: Jack Schwager’s Unknown Market Wizards and public interviews.

The numbers next to Daljit Dhaliwal’s name look like a typo. Over nine-plus years trading his own account, he compounded at roughly 298% a year — and did it with a maximum drawdown under 20%. Returns like that usually come attached to the kind of risk that eventually erases them. His did not. The volatility in his account is enormous, but almost all of it is upside: huge gains, tightly controlled losses.

Schwager titled his chapter “Know Your Edge,” and that phrase is the key to the whole record. Dhaliwal is not a man who found one magic setup. He is a man who understood, with unusual clarity, exactly where his money came from, sized hardest when that edge was present, and built a ruthless system for cutting himself off when it was not. He is proof that in trading, defence is what makes extraordinary offence survivable.

From the tennis court to the trading screen

Dhaliwal’s first competitive love was tennis, not markets, and the sport left a mark on how he trades: the patience to wait for the right shot, the mental and physical preparation before a match, the discipline to not force a point. When the 2008 financial crisis hit, it pulled his attention to markets, and he set out to build a career in trading despite attending a mid-ranked university and entering a field where success is rare. Determination carried him into a seat.

His early trading used technical analysis, but he was uncomfortable with it — he could not explain why the patterns were supposed to work. When he looked honestly at his own results, he noticed that his most profitable trades were the ones grounded in fundamentals, where he understood the reason behind the move. So he shifted toward macro and fundamental analysis, eventually supervising a full-time research assistant and making macroeconomic work the primary engine of his trading.

The method: trade the event, know the edge

Dhaliwal is a macro, event-driven trader. His original edge was capturing the initial price move off important headline events — economic data releases, central bank decisions, geopolitical shocks — where the market’s first reaction created a fast, asymmetric opportunity.

The heart of his approach is captured in three words: know your edge. When Dhaliwal realised that most of his profits came from just a handful of trades, his whole strategy changed. Instead of grinding through mentally exhausting short-term moves, he set out to “be right in a big way a few times a year.” When his conviction in a trade is high, he sizes aggressively and takes large positions. When it is not, he does very little. Knowing precisely where his edge lives is what tells him which trades deserve the big bet and which deserve nothing at all.

He also treats a trade as a living thing rather than a fixed bet. The reward-to-risk ratio, he stresses, is dynamic and changes as a position moves. A trade that started out risking one to make three is a completely different proposition after the market has already moved most of the way there. So he takes partial profits as a trade runs in his favour — because, in his words, holding the entire position to the end is an attempt to be 100% right, at the risk of being 100% wrong.

The defining lesson: the drawdown protocol

If one thing explains how Dhaliwal earns triple-digit returns without blowing up, it is his mechanical response to losing. He does not rely on willpower to stop the bleeding; he has a rule, decided in advance.

He always keeps stop-loss protection on large positions. Beyond that, he runs a staged drawdown protocol at the account level: if his drawdown exceeds 5%, he cuts his position sizing in half; if it exceeds 8%, he halves it again; and if his drawdown reaches 15%, he stops trading altogether until he genuinely feels ready to resume. As losses mount, his risk automatically shrinks, so a bad patch gets smaller and smaller rather than spiralling. That single mechanism is why an account with 84% volatility never suffered the 50%-plus drawdowns those swings would normally imply.

Where the Mind · Method · Money framework meets Dhaliwal

Method is his macro event-driven edge: understanding a catalyst well enough to bet on the market’s reaction, sizing hard only when conviction is high, and scaling out of partial profits as the reward-to-risk shifts.

Money is where he is a genuine master. The staged drawdown protocol, stops on every large position, and dynamic partial profit-taking form one of the most disciplined risk systems in the entire Wizards canon. His offence is spectacular precisely because his defence is automatic.

Mind ties it together. The patience of a tennis player waiting for the right shot, the honesty to abandon a method he did not understand, a detailed trading journal that turns every decision into data, and the humility to keep evolving as his edge decays — all of it is psychological infrastructure. “Know your edge” is ultimately a demand for self-knowledge.

The honest counterweight

Dhaliwal’s record is genuinely elite, but it comes with warnings he would be the first to state.

The most striking is that his original edge died. He has said plainly that it is no longer possible to trade the initial move off a headline, because automated algorithms now execute before a human can. That is the honest, humbling core of his story: even a Market Wizard watched a proven edge erode and had to reinvent his entire approach. It is a permanent caution against assuming any edge lasts forever.

The returns also do not scale the way the headline number suggests. Compounding near 298% a year is a personal-account phenomenon, achieved with aggressive size on capital small enough to move freely. No one runs institutional money at those rates; the strategy has limited capacity, and the figure should be read as evidence of skill, not as a template for what large sums can safely earn.

Then there is the lived experience of that 84% volatility. The sub-20% drawdown is measured on month-end equity; the swings inside those months were far wilder, and holding positions that move that violently is psychologically brutal. Event-driven trading also has long dead stretches with nothing to do, and the boredom between events pushes most traders into impulsive, unnecessary trades — the exact behaviour Dhaliwal’s discipline is built to prevent. His method is discretionary macro, not a system you can copy trade-for-trade. The part that transfers is the risk architecture, not the positions.

What to actually take from Daljit Dhaliwal

You will never replicate his returns, but you can borrow the machinery that produced them.

First, know your edge. If you cannot state in one sentence where your profits actually come from, you cannot size your best trades or avoid your worst. Study your own results and build around the few trades that make the money.

Second, decide your drawdown response before you need it. A staged rule — cut size at set loss levels, stop entirely at a hard limit — removes willpower from the moment you have the least of it. It is the single most copyable thing he does.

Third, take partial profits and respect that reward-to-risk changes as a trade runs. Refusing to ever bank a gain until the target is an attempt to be perfectly right, which is how good trades turn into losers.

Fourth, expect your edge to decay. Keep a journal, keep learning, and treat reinvention as part of the job rather than a sign that something has gone wrong.

Frequently asked questions

Who is Daljit Dhaliwal?
Daljit Dhaliwal is a British macro, event-driven trader profiled in Jack Schwager’s Unknown Market Wizards. Trading his own account, he compounded at roughly 298% a year over nine-plus years while keeping his maximum drawdown under 20%.

What is Daljit Dhaliwal’s trading strategy?
He trades around macroeconomic and headline events, taking large positions only when his conviction is high and doing little otherwise. His approach centres on knowing exactly where his edge lies and concentrating his risk on the few trades that offer it.

What returns did Daljit Dhaliwal achieve?
Around 298% average annual compounded return over nine-plus years, with annualised volatility near 84% but a maximum drawdown under 20% and no losing years — risk-adjusted statistics several times the level normally considered excellent.

What is Dhaliwal’s drawdown protocol?
A staged rule that automatically reduces his risk as losses grow: he halves his position sizing if his drawdown exceeds 5%, halves it again beyond 8%, and stops trading entirely if it reaches 15%, resuming only when he feels ready.

What does “know your edge” mean?
It is Dhaliwal’s core principle: a trader must understand precisely where their profits come from. Without that clarity, you cannot tell which trades deserve a large position and which deserve none, and you end up spreading risk across trades that have no real advantage.

Can a retail trader copy Daljit Dhaliwal?
Not his trades — those are discretionary macro calls. But his risk architecture is highly transferable: a pre-set drawdown protocol, partial profit-taking, a detailed journal, and the discipline to bet big only on a clearly defined edge.

Which book features Daljit Dhaliwal?
Unknown Market Wizards (Jack Schwager, 2020), in the chapter “Know Your Edge.”

Continue learning

• Ray Dalio — the macro thinker who taught Dhaliwal to backtest ideas over long history for conviction.
• Monroe Trout — a fellow master of pairing high returns with remarkably shallow drawdowns.
• Jason Shapiro — another Unknown Market Wizard obsessed with edge and risk control.
• Larry Hite — the wizard who built a fortune on defence and the discipline of the stop.
• Market Wizards (book review) — our breakdown of the Schwager series Dhaliwal appears in.
• The Mind · Method · Money framework — the lens we use to read every trader on this site.