Psychology

Stop Revenge Trading: Pre-Committed Rules That Interrupt the Spiral

Cameron Bennion
·
December 28, 2025
·
3 min read
Open notebook and pens on a desk
Photo by Kelly Sikkema on Unsplash.

You take a loss, it stings, and the next trade is about getting the money back instead of about the setup. That's revenge trading. It turns one ordinary loss into a bad day because size, selection and speed all change at once.

Why a loss pushes us

Daniel Kahneman and Amos Tversky's work on loss aversion found that losses weigh roughly twice as much as equal gains in their experiments, with estimates commonly cited between 2 and 2.5. A $500 loss tends to bother you more than a $500 win pleases you. Stress also makes deliberate decisions harder, so the rule you wrote last week loses to the urge to fix the day.

The decision itself changes. Taking a trade because it meets your criteria is one thing, and taking it because you need the money back is another. The second isn't a trading decision, because it ignores the setup.

The spiral in numbers

Your next step

Build the daily map before the session.

See how ES and NQ Key Price Levels fit the daily plan. Follow the room, practice in SIM, and review what happened around each level.

Here's a hypothetical $5,000 account with normal risk at 1% per trade, which is $50.

TradeSize vs normalLossAccount
1 (valid setup)1x$50$4,950
2 (revenge)2x$100$4,850
3 (revenge)4x$200$4,650
4 (revenge)8x$400$4,250

A $50 loss became $750, which is 15% of the account. Getting from $4,250 back to $5,000 takes a gain of about 17.6%, and you'd be chasing it from the worst mental state. Compare a hypothetical 2% daily loss limit of $100. Two normal-size losses would have ended the day at $100 down instead of $750.

Three stages worth catching

First comes justification: the loss was a fluke, so take it again with more size. Next is escalation, when you're taking setups you'd normally skip and trading faster than your plan allows, and you know it. The last stage is the blowup, where one oversized loss or a run of them ends the day with a hole that takes many ordinary sessions to refill. The cheapest place to interrupt it is stage one.

Rules to write before the open

Rules made while you're calm are the only ones that survive a bad moment. Write these down before the session.

  1. Set a hard daily loss limit as a fixed dollar amount. For many retail accounts, 1 to 2% of equity is a common starting point.
  2. Set a maximum number of trades for the day, or define exactly what counts as a valid setup.
  3. Take a cooldown after any full-size loss. Fifteen minutes away from the screen is one reasonable choice.
  4. After a loss, trade the same size or smaller. Never larger.
  5. When the limit hits, close the platform. Don't only promise yourself to stop.

A written trading plan reviewed before the open is where these live, and consistency follows from following it on boring days too.

Making the rules harder to break

Willpower is weakest right after a loss, so change the environment. Trade smaller, use one chart, set a timer for the cooldown. Check whether your broker or platform offers a daily loss limit, then test it in SIM by deliberately hitting it and confirming new orders are refused. Don't assume a setting works because it exists.

Automated execution can take the in-the-moment decision away, but it brings its own risks. A misconfigured bot repeats a bad rule perfectly, and some prop firms prohibit automated trading entirely, so read the firm's rules first.

Review with a loss log

For every loss, record the time, setup, planned risk, actual risk, which rule you broke if any, and your state of mind. At the end of the week, count rule violations before you count dollars. The violations show you which rule needs to be harder, and the common trading mistakes list is a useful check against your own log.

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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Educational Purposes Only: The content provided in this blog is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Young Money Investments is not a registered investment advisor, broker-dealer, or financial analyst.

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