{"id":4721,"date":"2026-10-20T04:42:57","date_gmt":"2026-10-20T04:42:57","guid":{"rendered":"https:\/\/fundingtraders.com\/blog\/?p=4721"},"modified":"2026-10-20T04:44:59","modified_gmt":"2026-10-20T04:44:59","slug":"disposition-effect","status":"publish","type":"post","link":"https:\/\/fundingtraders.com\/blog\/disposition-effect\/","title":{"rendered":"The Disposition Effect: How Your Exits Shrink Winners and Stretch Losers"},"content":{"rendered":"\n

The disposition effect rarely shows up as one big loss. It lives in the gap between the exits a trader planned and the exits they took, and one journal page can hold $1,400 of it.<\/p>\n\n\n\n

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A Journal Page With a $1,400 Gap<\/h2>\n\n\n\n

The page comes from a hypothetical $100,000 account trading GBP\/USD at 2.5 standard lots, so each pip is worth $25 and the 0.5% risked per trade is $500. Every setup has a 20-pip stop ($500, or 1R, where R is the amount a trade puts at risk) and a 40-pip target ($1,000, or 2R). Each exit is logged twice:<\/p>\n\n\n\n

<\/th>Trade 1 (long)<\/th>Trade 2 (short)<\/th>Day<\/th><\/tr><\/thead>
As planned<\/td>+$1,000 (target, 2R)<\/td>-$500 (stop, -1R)<\/td>+$500<\/td><\/tr>
As executed<\/td>+$300 (closed at 0.6R)<\/td>-$1,200 (closed at -2.4R)<\/td>-$900<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The entries did their job. Trade 1, a long, worked: price reached its 40-pip target later in the session. Trade 2, a short, was wrong in exactly the way its $500 stop had budgeted for.<\/p>\n\n\n\n

The “As executed” row is where the page breaks. Trade 1 came off by hand at +12 pips ($300, or 0.6R), under a third of the way to target. Trade 2’s stop never got to trigger: with price two pips away it was dragged to 30 pips, then to 50, and the trade finally closed at minus 48 pips: minus $1,200, or minus 2.4R.<\/p>\n\n\n\n

In R, the page banked 0.6 and paid out 2.4: four units lost for every one won, on trades built to win two for every one risked. Behavioral finance calls that inversion the disposition effect: a pull to bank gains quickly and sit on losses in the hope they heal, cutting winners short while losers run. All $1,400 of the gap came from the exits.<\/p>\n\n\n\n

Now hold the page up to the four core rules in Risk Management at FundingTraders<\/a>. Funded accounts trade under them every day; an evaluation’s history is held up to them once, at the target, where a violation can set the funded account’s starting tier.<\/p>\n\n\n\n

Even with the stop dragged to 50 pips, trade 2 put $1,250 at risk, 1.25% of the account and under the 2% Outsized Risk line. Margin use stayed far below the 30% Overleverage line, no position opened within 5 minutes of the loss, and one day can’t build an Overexposure pattern. No threshold was crossed, yet the plan’s +$500 still became minus $900.<\/p>\n\n\n\n

No rule flags a day like this, which is why your journal has to.<\/strong><\/p>\n\n\n\n

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Why Loss Aversion Writes Your Exits<\/h2>\n\n\n\n

Banking 12 pips on a 40-pip plan looks timid from outside. From inside it feels like common sense, and prospect theory explains why.<\/p>\n\n\n\n

Amos Tversky and Daniel Kahneman’s prospect theory scores each outcome as a gain or a loss from a reference point, and for a trader that point is the entry price. Losses also weigh more: a $500 loss stings about twice as much as a $500 gain pleases (about 2.25 times, in their later work). That weight is loss aversion, which our guide to loss aversion in trading<\/a> follows through a whole session, after the close as well as before it.<\/p>\n\n\n\n

The weight explains why red hurts more than green; the curve’s bend explains the disposition effect. Each extra dollar of gain adds a little less pleasure and each extra dollar of loss a little less pain, so traders play it safe in the green and gamble in the red:<\/p>\n\n\n\n