Psychology

How Greed Damages Futures Trading Accounts and How to Spot It in Your Own Journal

Cameron Bennion
·
2025-04-19
·
5 min read
Open notebook and pens on a desk
Photo by Kelly Sikkema on Unsplash.

What Greed Looks Like on a Futures Chart

Most greed damage never feels like greed. It feels like a reasonable edit made while a trade is open: a target nudged a little higher, a few extra contracts, a filter tightened after a bad week. In my view, greed in trading is the refusal to accept the normal spread of outcomes from a plan you already wrote. You want the wins without the losses that come with them, so you start renegotiating the plan in real time.

The cost shows up in dollars quickly, so here are four common forms with the math. All numbers below are hypothetical and use ES at $50 per point.

Form 1: Moving the Profit Target

Your next step

Check the math before you size up.

Use your recorded win rate, average win and loss, and trading costs in the free edge calculator. Estimates are a starting point, not proof of an edge.

Say your written plan is a 4-point stop and a 6-point target on one ES contract. That is $200 of risk against $300 of reward, which means the plan breaks even at a 40% win rate before commissions and slippage (risk divided by risk plus reward, $200 / $500). Price reaches 5.75 points of profit, you decide it wants to run, and you move the target to 10. Price turns and you exit at breakeven. The plan would have paid $300. The edit cost you the full $300 and gained nothing.

Sometimes the runner works. That is the trap, because one good outcome teaches the wrong lesson. If you want runners, put them in the plan before entry: take a defined portion at the first target and trail the rest by a stated rule. Changing the plan after you see profit is a different thing from designing it.

Form 2: Adding to a Winner Without a Rule

You are long 3 ES contracts and up 5 points, so $750 open profit. Feeling good, you add 2 more at that price. Now price falls back to your original entry. Without the add, the trade finishes at $0. With it, the two new contracts lose 5 points each, 2 x 5 x $50 = $500, so you finish down $500 on a trade that was a winner a minute earlier. Scaling in can be a legitimate method when the trigger, the size, and the combined stop are defined in advance. Adding because the trade feels good is sizing by mood.

Form 3: Revenge Sizing After a Loss

You lose $300 on a standard-size trade. To get it back you take the next setup at double size, which no rule in your plan allows. With the same stop distance, a second loss is $600, and the two trades cost $900 instead of $600. The extra size did not buy a better setup. It bought a bigger bill for the same signal quality, and it was driven by the need to erase the last loss, not by anything on the chart.

Form 4: Rewriting a Plan Because of Normal Variance

This one is the quietest. Suppose a setup wins 65% of the time (a hypothetical rate, not a claim about any real strategy). If outcomes were independent, the chance of five losses in a row starting at any given trade is 0.35^5, about 0.5%. Over a 100-trade stretch, though, the chance of seeing at least one run of five losses is roughly 25 to 30%. A streak like that is ordinary arithmetic, not proof the plan broke. Real trade outcomes are not perfectly independent, and a streak can also mean conditions changed, so the answer is neither ignore it nor rewrite everything. Decide in advance what review a streak triggers, for example comparing every trade in the streak against your written rules. If execution matched the rules, you leave the plan alone. If it did not, you fix execution. Editing entries and stops in the middle of a drawdown, with no evidence, is how a working plan gets replaced by a guess.

The Three-Question Diagnostic

At the end of each session, answer these from your journal and your platform's trade history:

  1. Did I exit any trade later than the plan specified? If so, was there new information on the chart, or did I just want more profit?
  2. Did I size any trade larger than my rules allow? If so, did a predefined criterion justify it, or did I feel confident?
  3. Did I keep trading after hitting my daily loss limit or my daily stop-for-the-day target?

Three no answers mean greed did not drive execution that day. Any yes goes in the journal with the trigger, the result, and whether an existing rule already prohibited the behavior. In most journals I have seen described, the rule already existed and the problem was adherence, so a new rule would not have helped.

Structural Fixes That Don't Rely on Willpower

  • Bracket orders at entry. In NinjaTrader 8, an ATM strategy template can attach the stop and target the moment you enter. Moving either one then takes a deliberate action instead of a passing impulse. It still can be moved, so it adds friction, not a lock.
  • A hard daily loss limit. Check what your platform, broker, or evaluation rules actually enforce and how. Some limits flatten positions and some only block new orders, and stop orders can slip in fast markets, so the realized loss can exceed the number you set.
  • A stop-for-the-day rule. Pick a profit level or trade count, write it down, and set an alarm. The point is friction at the moment the one-more-trade urge is strongest.
  • Targets tied to fixed prices. KPL levels are fixed reference prices anchored to the regular-session opening print, so they do not move intraday. A target set against a level that cannot move leaves less room to negotiate with the screen. You can read how the levels are built on the KPL trading page.
  • Accountability. Sharing your plan and your end-of-day review with other traders makes a greed-driven edit something you would have to explain.

None of this removes risk. It just makes the plan you wrote harder to override when you are least objective. If you want daily ES/NQ KPL, a course, and a community to review your plan against, the Intro membership is $97/month after a 7-day trial.

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About the Author

Cameron Bennion
Cameron BennionAbout Cameron →

Founder, Young Money Investments · Quant Trader

Cameron trades ES, NQ, and futures across multiple market cycles. He founded Young Money Investments to teach systematic, data-driven trading and manages Magnum Opus Capital. His work emphasizes documented rules, risk controls, and review over outcome promises.

Systematic Futures TradingHedge Fund Manager, Magnum Opus CapitalRisk-First EducationNinjaTrader SpecialistFutures: ES · NQ · RTY · CL · GC
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Check the math before you size up.

Use your recorded win rate, average win and loss, and trading costs in the free edge calculator. Estimates are a starting point, not proof of an edge.

Free to use. Keep a trade journal so the inputs come from your own results.