Revenge Trade

The revenge trade feels like a decision. It is closer to a reflex, and it has been measured in real trade data. ### Being in the red flips your risk appetite Liu, Nacher, Ochiai, Martino and Altshuler analysed over 28.5 million trades placed by 81.3 thousand traders on an online forex and commodities platform between June 2010 and October 2012 ("Prospect Theory for Online Financial Trading", 2014, [full text on PubMed Central](https://pmc.ncbi.nlm.nih.gov/articles/PMC4198126/)). They found the classic reflection effect: risk-averse in gains, risk-seeking in losses. Winners get closed quickly for small profits. Losers get held, waiting and hoping to recover. That is the whole mechanism in one sentence. You are not a disciplined trader who occasionally snaps. Under loss, appetite for risk goes *up* by default, and it did so across tens of thousands of real traders. The revenge trade is simply what that default looks like once it reaches the order ticket. ### The maths quietly turns against you To get back to flat, you need a win bigger than the loss you just took. So revenge reaches for the only two levers that produce a bigger win: more size, or a wider target. Both raise the odds of a second loss. Take that second loss and the win you now need is larger again, so the next pull on the lever is larger again. None of that requires bad luck. The escalation is built into the arithmetic of getting back to even. That is how a small red day becomes an account-ending day, and it can happen inside a single session. ### The tells - You are watching P&L instead of the chart. - You cannot name the setup. The reason is "I need this one." - You re-entered within seconds or minutes of being stopped out. - Size went up, and you already have a justification ready for why this one is different. ### The rule, and why it actually works A max daily loss is the only antidote that does not depend on you being calm, because it is set while you are calm and executed by walking away. This is not soft advice, it is how the industry that funds traders operates. FTMO's published [Trading Objectives](https://ftmo.com/en/trading-objectives/) impose a Maximum Daily Loss of 3% of initial simulated capital on their 1-Step accounts and 5% on the 2-Step. It is measured on equity (balance, plus open position profit and loss, plus or minus swaps, minus commissions) and recalculated daily at 00:00 CE(S)T. Drop below that line and the objective is breached. Notice what gets measured: equity, not closed balance. An open losing position counts against you while it is still open, precisely because "it'll come back" is the sentence that does the damage. The specific percentage matters far less than the two things wrapped around it. You set it before the session starts, and when it hits, you close the platform. A rule you renegotiate at the exact moment it binds is not a rule. It is a wish.