Skip to content
GetProfitable
Search

Identity and the losing month

Lesson 16 · about 9 min

There is a level below the trade and below the streak, where a bad stretch stops being about money and starts being about who you are. "I'm a losing trader." "I'm not cut out for this." "Everyone else gets it and I don't." This lesson is about that level, because it is where the longest and most expensive forms of tilt live.

The identity trap

When trading goes well, it is tempting to let it become part of your identity: you are a trader, and a good one. That feels harmless while the P&L is green. The bill arrives in the losing month, because now every loss is not just a loss but a small piece of evidence that the identity is false, and the mind will do almost anything to avoid that conclusion. Holding the loser past the stop, doubling to get back, refusing to log a bad week: these are identity defences wearing a trading costume.

Steenbarger's clinical work with traders returns to this repeatedly. Traders who tie their self-worth to their results experience losses as threats to the self, and threat responses are exactly the physiology from Module 2. Traders who hold their results at a slight distance, as information about a process they are running, can look at a bad month with curiosity instead of dread.

The shift is from "I am a winning trader" to "I run a process that has a positive expectancy, and I execute it well or badly on any given day." The first is a claim about you that the market will test daily. The second is a description of a job.

Key idea: A losing month is a fact about a process, not a verdict on a person. Traders who let results define who they are experience every loss as a threat, and threat responses are what tilt is made of.

How professionals actually think about a losing month

Ask people who have traded for a long time at firms with real risk oversight how they handle a losing month, and the answers converge.

They expect it. A discretionary trader with a good year might have three or four losing months in it. Knowing the base rate turns the losing month from a crisis into a scheduled event. If you have never computed how many losing months per year your system should produce, you are experiencing every one of them as a surprise.

They separate the review from the reaction. The month ends, the platform is closed, and the review happens over a day or two with the log open. The questions are the same every month, whether the result was good or bad: What was the A-trade percentage? What was the expectancy of A trades? What was the total in D and F trades? Were there rule breaks, and which ones? A losing month with a high A percentage and intact A-trade expectancy gets the response "variance, continue." A losing month with a high D/F count gets "behaviour, fix this specific thing." A losing month with a falling A-trade expectancy over several blocks gets "strategy, review it."

They do not make changes at the screen. Any change to size, setups or markets comes out of the monthly review, is written down, and starts the following month. Nothing is changed on the 23rd because the 22nd was bad.

They know the difference between a drawdown and a disaster. A drawdown is a normal, sized-for, expected decline. A disaster is a drawdown caused by rule breaks. The first is weather; the second is a leak in the boat. They treat them completely differently, and the log tells them which one they are in.

They talk to someone. A risk manager, a desk head, a peer. Someone who can look at the log without the emotional charge and say "this is variance" or "this is you." A retail trader does not have a risk manager, which is a real disadvantage, and it is worth building a substitute: one honest peer who sees your log monthly.

The recovery frame

After a losing month, the pull is to want the next month to fix it: to get back what was lost, on a monthly timescale. This is revenge trading with a longer clock, and it produces the same cascade, just slower.

The alternative frame: the next month's job is to execute A trades at the plan's size. That is all. If the expectancy is intact, the equity curve will recover over some number of blocks that you do not control. Your job is not to recover the money; your job is to run the process, and the money is what the process produces when it is run.

Practical separation

Some habits that keep identity and results apart:

  • Have a life that is not trading. People, exercise, work, craft, anything where you are competent and valued for reasons that have nothing to do with the P&L. A trader whose whole identity is trading has no floor under a losing month.
  • Do not announce results. Telling people about a good month creates an identity to defend. Telling them about a bad month invites sympathy that treats it as a disaster. Keep results in the log.
  • Describe your trading in process terms. When someone asks how it is going, the answer is "I'm executing well" or "I've had some rule breaks I'm working on," not "I'm up 12%" or "I'm getting killed."
  • Read the log for grades before the P&L, every time, as a habit.
  • Keep the monthly review questions fixed and written down, so that a bad month does not get to choose which questions are asked.

Try it: Write your own monthly review as a fixed template: five questions, all about process, that you will answer at the end of every month regardless of result. Then look at your last losing month and answer them now, honestly. Sort the month into "variance," "behaviour" or "strategy." Write the one thing, if any, that changes next month as a result, and the date it takes effect.

Recap

  • Tying identity to results makes every loss a threat to the self, and threat responses are the physiology of tilt.
  • Shift from "I am a winning trader" to "I run a process with positive expectancy and execute it well or badly on any given day."
  • Professionals expect losing months, review them with fixed process questions, sort them into variance, behaviour or strategy, and make changes only at the monthly review.
  • Trying to "recover" a losing month is revenge trading on a longer timescale; the next month's only job is to execute A trades at plan size.
  • Keep a life outside trading, do not announce results, describe trading in process terms, and find one honest peer to review the log with you.

See it drawn

Original diagrams for the ideas on this page. Illustrative, not real market data.

The spread of outcomes behind an expectancyA histogram of forty trades: a tall block of small losses on the left, a low spread of larger wins on the right, and a line marking the average outcome.NUMBER OF TRADES051024 LOSSES, AVG −$20016 WINS, AVG +$600EXPECTANCY +$120−$400−$200$0+$200+$400+$600+$800PROFIT OR LOSS PER TRADEexpectancy = (40% × $600) − (60% × $200) = +$120 per trade
Expectancy: the average trade. Forty trades sorted by outcome: 24 small losses and 16 larger wins. Weighting each side by how often it happens gives the average result per trade, marked here by the dashed line at +$120.
An equity curve and its drawdownAn account balance rising over a year, falling from a peak to a trough, then climbing back to the old peak.ACCOUNT EQUITY$20k$12k$8k024681012TIME (MONTHS)PEAK $16,000TROUGH $12,000DRAWDOWN−25%RECOVERY
Equity curve and drawdown. An account balance plotted month by month. The fall from the $16,000 peak to the $12,000 trough is a 25% drawdown, and the shaded area lasts until the balance climbs back to the old peak.

Finished this module? Take the module quiz.