Picture the situation. You are a pair trader with a 2% monthly target, roughly 25% a year. You have just posted three months in a row above +4%. It is August. You sit at +27% for the year, and you have already cleared your annual goal with four months still to run. So what is the correct course of action? The honest answer starts with a warning. Protecting trading profits at this stage is mostly a test of psychology, not strategy. This moment is more dangerous than it feels.
Being well ahead pulls you two ways at once. One voice says bank it. Protect the number, coast into year-end, and do not risk handing back a great year. The other voice says press. You are clearly in form and the market is paying you, so put your foot down. Both feel like insight. In truth, both are usually noise.
For a systematic trader, however, there is a third and quieter temptation. It is the most corrosive of all: the urge to reach into a working system and “protect” the gains by trimming it. That feels like prudence. In reality, it is discretion climbing back in through the side door. (For why we think systematic trading is the right starting point for any new trader, see our piece here.)
The Psychology of Giving It Back
The fear underneath all of this is simple. It is the fear of surrendering a winning year, and it deserves respect, because the damage is real.
Prospect theory, the work of Daniel Kahneman and Amos Tversky, shows that losses register about twice as powerfully as equal gains. Handing back a banner year therefore hurts far more than making it ever felt good. Watching +27% bleed toward +12% can do lasting harm. It breeds doubt in the edge. It anchors you to the high-water mark on your own equity curve. Worse still, it invites revenge trading and the abandonment of a sound process at exactly the wrong moment. Indeed, many capable traders never fully recover their confidence after giving back a great year. (If you are interested in the psychology behind this fascinating and manipulable phenomenon, check out The Undoing Project: A Friendship That Changed Our Minds by my fellow Salomon Brother, Michael Lewis, great synopsis here).
Here is the cruel irony. The fear of loss is what tempts a systematic trader to override the model. And the override, made to dodge the pain of giving back, can itself contain the larger long-term threat.
So what is the way out? It is not to meddle. Instead, decide in advance, in a calmer frame of mind, exactly how you will manage risk. Then a normal give-back becomes easier to handle for what it is: the system breathing within its expected variance, rather than a personal failure.
From Where Standard Advice on Protecting Trading Profits Comes
Most of the familiar wisdom here is discretionary in origin. Linda Raschke, in Jack Schwager’s The New Market Wizards, says the moment to cut size is after a strong run, not before. Why? Because drawdowns cluster after winning streaks, when unrealised success loosens discipline. Peter Brandt makes it a rule, and decides in advance how much year-to-date profit he will give back before he flattens down. Dr. Brett Steenbarger, on his TraderFeed blog and in The Daily Trading Coach, warns instead about complacency. He notes that even a 60% win rate still produces four losers in a row. Paul Tudor Jones, in Market Wizards, reduces it to two words: play defence.
This counsel is sound for a discretionary trader, because it assumes a human exercising judgement. For a systematic trader, however, that assumption is precisely the problem.
Why It Breaks for Systematic Traders
If your edge is a rules-based system, then cutting size because you are ahead is not risk management. It is overriding the system. A tested approach runs at a designed size, and it produces its returns unevenly. You cannot know in advance which stretch will be the productive one. So if you trim after a strong run, you often just leave yourself small going into the next.
For a mean-reversion strategy like pairs trading, the asymmetry is sharper still. A pair is built to hedge out market-wide (systematic) risk, so what remains in the tails is largely idiosyncratic: the de-correlation, single-name shocks and crowding events that turn an ordinary month into a large loss or gain. They can be positive or negative, and you will never know which in advance. The left tail risk is best contained by pre-committed, rules-based risk controls, which necessarily must therefore also apply to the right tail, not by an ad hoc decision to bank a good year. In other words, a discretionary cut tends to manage the wrong risk.
Just as importantly, the calendar means nothing to your edge. The market does not know it is August. It does not know your annual target. It does not know you are up +27%. The trading year is an accounting boundary, not a trading signal.
What the Top Systematic Firms Actually Do
The world’s leading systematic shops do not de-risk just for protecting trading profits. Instead, they protect results through governance they committed to in advance. Three practices stand out.
First, they size by risk, not by mood. Volatility targeting scales exposure toward a constant risk level. So if those three hot months arrived alongside rising volatility and leverage, the system trims exposure on its own, mechanically rather than emotionally. This approach can be procyclical, of course, cutting after volatility and opportunity rises and adding after it falls. For that reason, it sits inside a wider risk framework rather than standing alone.
Second, they pre-commit their risk rules. The discipline that separates professionals is deciding ahead of time what would make them cut. Exposure drift, a regime change, rising crowding, cointegration breakdown, half-life extensions or broken execution all qualify. The industry maxim is to do that work before the drawdown (or in this case exceptional performance), not in the emotional heat of being in loss (profit). They set hard position limits, risk budgets and maximum drawdowns in calm conditions. Then a risk function, deliberately walled off from the people feeling the profit and loss, enforces them.
Third, and most relevant to a pair trader, they treat crowding, cointegration breakdown and correlation as first-order risks. For relative-value and market-neutral strategies, the legitimate reason to pare back is not that you are up. Rather, it is that spreads are crowding, correlations are shifting, or the relationships your model relies on are decaying. That is what turns ordinary volatility risk into tail risk. Crucially, it is a research and monitoring trigger, not an emotional one. Any change to the system comes from evidence that the edge is fading or the regime has turned, never from the profit scoreboard.
Self-Directed Trader or Professional?
Who you are changes the answer. A self-directed trader running personal capital has real latitude to bank a strong year. With no benchmark to drift from and no client to answer to, your personal goals, tax position and tolerance for giving back gains all count. Just be honest about one thing. Taking risk off is a portfolio allocation decision with an expectancy cost. It is not something your system instructed you to do.
The calculus tightens sharply, however, for anyone managing other people’s money or publishing a track record. There, allocators judge you on running the stated strategy and its statistics, and they punish style drift hard. Cutting size to defend a headline number shades into window-dressing. The temptation peaks at year-end, moreover, when high-water marks and incentive fees crystallise. That is a conflict of interest wearing the costume of prudence. In the end, the credibility of a track record rests on not gaming it.
So, Back to August
For the pair trader sitting at +27% in August, best practice points away from a discretionary cut just because the target is met. The correct sequence runs closer to this:
- Check your risk is at designed levels. Did those three big months come with higher volatility, wider spreads, more leverage or more crowding? If a volatility target or risk budget says trim, then trim. That is the system, not your nerves.
- Interrogate the edge, not the calendar. Are your cointegrated relationships still holding? Or is correlation and crowding risk rising? That is the legitimate reason to reduce.
- Confirm your pre-committed rules are live. Check the drawdown and stop rules you set in calmer times.
- Reframe the dates as arbitrary. August and December mean nothing to your edge.
- Weigh your own situation. If you are self-directed and the money genuinely matters to your life right now, then taking some risk off is a fair allocation choice. Just make it deliberately, size it as such, and accept that you are buying peace of mind with a slice of long-run return.
So the real question is never simply “am I ahead?” It is this: “is this action a rule I set in advance, or an emotional override I am rationalising now?” Protecting trading profits, in the end, is less about cutting risk than about trusting the governance you built when you were calm. Your edge has already paid you. Keep the payout by trusting the machine, not by quietly dismantling it the moment it starts working.
Protecting Trading Profits: Your ‘Ahead of Target’ Rule Sheet
The scenario: ahead of target, on a hot streak, with months left on the clock. Before you touch anything, work through the checklist below.
First, know which trader you are.
- Discretionary, own capital — you have the most latitude. Cutting size after a strong run (Raschke) and a pre-set give-back line (Brandt) are both legitimate. Just call it an allocation choice, not a system signal.
- Systematic, own capital — do not override the model. Hold your designed size and scale only through pre-defined rules. An ad hoc cut overrides a tested edge and usually leaves you small at the wrong moment. The real tail risk is idiosyncratic, de-correlation and crowding, and belongs to your rules-based controls.
- Managing money or a track record — run the disclosed strategy. Control risk through stated rules, not year-end window-dressing, and beware high-water-mark and fee-driven de-risking.
Next, run the systematic checklist (what the top firms do):
- Size by risk, not mood — volatility and leverage targeting trims exposure automatically when risk rises.
- Pre-commit the rules — decide what would make you cut (regime, relationships, crowding, drawdown, broken execution) before the drawdown (or exceptional profits), not during it.
- Watch crowding, cointegration, half life and correlation — for pairs and relative value, decaying spreads and shifting statistical relationships are the real pare-back trigger, not your P&L.
- Change only on evidence — adjust the system for edge decay or a regime shift, never for the scoreboard.
- Separate risk from emotion — enforce limits independently of how the year feels.
Finally, mind the psychology:
- Giving back a winning year hurts about twice as much as making it felt good (Kahneman & Tversky). Expect that pull, and refuse to let it drive the trade.
- The override you make to soothe that fear is usually the bigger long-term risk.
- Do not tinker out of boredom or overconfidence (Steenbarger). Grade execution, not P&L. Play defence through your method, not against it (Tudor Jones).
- Respect the trade-off: every unit of risk you cut to feel safer may be a unit of long-run return you surrender.
Happy trading.
Geoff S.T. Hossie, CMT
Sources: Linda Raschke and Paul Tudor Jones in Jack Schwager’s Market Wizards and The New Market Wizards; Peter Brandt; Dr. Brett Steenbarger, TraderFeed and The Daily Trading Coach.
The loss-aversion principle draws on the foundational study of prospect theory: Kahneman, D., & Tversky, A. (1979), “Prospect Theory: An Analysis of Decision under Risk,” Econometrica, 47(2), 263–291 (DOI: 10.2307/1914185).
The systematic risk-governance practices reflect established quantitative-fund research and practice: on volatility targeting and its tail-risk benefits, Harvey, C. R., Hoyle, E., Korgaonkar, R., Rattray, S., Sargaison, M., & Van Hemert, O. (2018), “The Impact of Volatility Targeting,” Journal of Portfolio Management, 45(1), 14–33 (Man Group; DOI: 10.3905/jpm.2018.45.1.014); on sizing by risk rather than notional exposure, Asness, C. S., Frazzini, A., & Pedersen, L. H. (2012), “Leverage Aversion and Risk Parity,” Financial Analysts Journal, 68(1), 47–59 (AQR; DOI: 10.2469/faj.v68.n1.1); and on pre-committed risk budgets, drawdown limits and crowding/correlation monitoring, industry due-diligence literature including Resonanz Capital, “Quant Hedge Funds in 2026.”
Educational content for experienced traders. Not investment advice. Trading involves substantial risk of loss. Illustrative figures are hypothetical and are not a representation of expected returns.
