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Theory

Rules that protect you from yourself

Set a pre-trade checklist, a daily loss limit and breaks after losses, and make them hard to break on a bad day.

~9 min read · 9 exercises · 250 points

Before you start

Rules for 11 a.m.

Back on your Pebble practice account, today you write rules for the moments when you're not at your best: after three losses, when the hand moves faster than the head. Nora says she doesn't need rules.

You'll build a short checklist to run before every order and the limits that stop a bad day from becoming a bad month, all written while calm so the calm you decides for the upset you.

Rules written calm, for the moment you aren't

Everyone trades well at 9 a.m. Protective rules are for 11 a.m., after three losses, when the hand moves faster than the head. That is when fear, hope and the urge to win it back take over (Fear, greed, hope and revenge trading). So the rules are written while calm, and the calm you decides for the upset you.

The first rule is a pre-trade checklist: a few yes-or-no questions before every order, and any "no" means no trade, with no "just this once". Marc, the experienced trader in this course, uses five: is today off my no-trade list, is the entry condition met, is the stop written down, is the size computed from my risk, and did my last trade end at least 30 minutes ago?

The checklist is the one-page plan from A one-page trading plan turned into a gate. It costs thirty seconds. Good questions are checkable; questions about luck or winning losses back are moods, and a "yes" to them is a warning, not a green light.

Nora rushes at a big phone while Alex sets a low barrier in front of it; Marc holds a ticked checklist under a clock showing eleven.
  • Do
    "Stop written and placed with the order? Size from 1% risk? Daily limit not hit? All yes, then the order."
  • Don't
    "I feel lucky, and this one will win back the morning."

    Two moods, zero checks.

The daily loss limit: a cap on one bad day

The second rule is a daily loss limit: a loss for the day, set in advance, after which you stop trading until tomorrow. On a 10,000 account with 1% risk per trade, a limit of 3% is 300 dollars. Hit it, and you're done: app closed.

Nora objects that 300 is just three losses. Exactly: three ordinary losses are a normal day for any plan. What comes after them usually isn't. The limit doesn't judge the plan; it stops the moment when a normal losing morning turns into revenge.

Reading the limit is simple: watch the running total for the day, and stop at the first trade that takes it to the limit or past it. On Nora's Tuesday, each planned loss is −102.00 (100 of risk plus 2.00 of fees). After trade 2 the day is at −204.00, still inside; after trade 3 it is −306.00, past −300.00. Trade 3 is the last trade of the day.

Dataset · 8 rows

Nora's Tuesday

10,000 practice account, plan risk 100.00 per trade plus 2.00 fees. day_total is the running total for the day.

tradetimeresultday_total
109:35-102.00-102.00
209:58-102.00-204.00
310:20-102.00-306.00
410:26-204.00-510.00
510:41188.00-322.00

First 5 of 8 rows

Download CSV
  • Do
    "Day at −306 after trade 3: limit reached, app closed until tomorrow."
  • Don't
    "Only three losses, I'll stop once I'm back to zero."

    The limit exists for exactly this sentence.

What the limit saves: the trades after it

A limit's value is measured by what happens after the point where it would have stopped you.

On Nora's Tuesday, trade 4 came at 10:26, six minutes after trade 3, at double the size (−204.00). Trade 5 won +188.00, and "nearly back" pulled her on. Trade 6 went in at triple size (−306.00), then trades 7 and 8 added −204.00 and −102.00. The day ended at −934.00.

Dataset: Nora's Tuesday · shown above

Stopping after trade 3 would have ended the day at −306.00. The difference, 934.00 − 306.00 = 628.00, is what the limit would have saved: more than twice the loss it allowed. Note the shape: the five trades after the limit were faster, bigger and further from the plan than the three before it.

"Nearly back" is how a 300-dollar day becomes a 900-dollar day. The one winning trade in the middle did not help; it is what kept the slide going.

  • Do
    "Limit at −306 after trade 3. Saved 628 compared with going on."
  • Don't
    "Trade 5 won, so carrying on was the right call."

    The day still ended at −934.

A limit works only during the day

A daily loss limit is a stop for the person, not a number for the report. Its whole job is to prevent the next trade at the moment the day reaches the limit, so it must be checked before every order, which is why "have I hit my daily loss limit?" sits on the pre-trade checklist.

A starter set of protective rules · shown above

Checked in the evening, the same number only measures the damage. Nora could write "limit: 300" in her journal every night and still have a −934.00 Tuesday, because nothing stopped trade 4 at 10:26.

Two habits keep the limit live. Know the running total of the day before each order, not after the close. And decide in advance what "done" looks like in practice: log out of the app, close the screen, walk away. A limit that needs a decision at the worst moment of the day is not a limit yet.

  • Do
    "Before each order: today's total is −204, limit −300. One more planned loss would reach it."
  • Don't
    "I'll see in the evening whether I went over the limit."

    By then the trades after the limit are done.

Breaks: time between a loss and the next order

The urge to win it back is strongest in the minutes right after a loss. A break rule puts time there: Marc's is 30 minutes away from the screen after any loss, a full stop after two losses in a day, and a practice-only week if the week is down 6%.

The pause works because it is checkable and dull: a clock, not willpower. It also feeds the checklist question "did my last trade end at least 30 minutes ago?".

Nora's Tuesday shows what happens without it. Six of her eight trades started within 30 minutes of a loss; trade 4 came six minutes after trade 3, at double size. The weekly stop answers a slower problem: a bad week is often more than bad luck (tiredness, stress, a plan that has drifted), and a week on the practice account keeps the routine going without paying for the mood.

Dataset: Nora's Tuesday · shown above

  • Do
    "Loss at 10:20. Next possible order: 10:50, at plan size."
  • Don't
    "Lost at 10:20, back in at 10:26 with double size."

    Six minutes is the revenge window, not a break.

When a rule breaks anyway

Rules will sometimes break; the question is what happens next. The answer is boring on purpose: stop, go back to the rules for the rest of the day, and log the break with its reason ("trade 4 placed after the limit, angry after three losses").

The dangerous move is the second break that is meant to fix the first: a bigger trade to get back under the limit, or "just one more at half size". One broken rule is a lesson. A broken rule followed by a bigger trade is a pattern, and patterns are what empty accounts.

Logging matters because the journal from Practice account, starting small and the journal is how you see that pattern later. A clean-looking journal with the breaks left out measures a trader who doesn't exist. Read with the reasons, the breaks usually cluster: the same hour, the same mood, the same kind of day. That is where the next rule belongs.

  • Do
    "Broke the limit with trade 4 (angry after 3 losses). Stopped there. Rule to add: log out at the limit."
  • Don't
    "I'll make it back with one big trade and nobody needs to know."

    The second break, hidden from the journal.

Make breaking a rule slow and visible

A rule you can break with one click will be broken on the worst day. So the last step is to make breaking it slow and visible.

Slow: place the stop with the order, never later. If your broker offers a loss-limit or cool-off setting, use it, so the app itself refuses the trade after the limit. Log out when the day is done; reopening takes effort. Print the checklist and keep it where the order button is.

Visible: log every break with its reason, and tell someone your limits. Marc offers to be Nora's someone: before any trade after a loss she texts him, and if she can't explain it in one sentence, she doesn't place it.

None of this makes trading profitable; rules limit the damage of a bad mood, they don't create an edge. What they buy is the chance to still have an account when the plan's numbers can be judged.

  • Do
    "At −300: log out, text Marc, journal entry. Loss-limit setting switched on if the broker has one."
  • Don't
    "I know my limit by heart, that's enough."

    Nothing stands between the bad mood and the button.

One rule for each predictable moment

The protective rules are not a random list. Each one is aimed at a moment you can predict in advance, and each is checkable yes or no.

The pre-trade checklist stops an impulse trade with no stop and a guessed size. The daily loss limit stops a bad morning from snowballing into a ruined day. The 30-minute pause after a loss stands between you and the urge to win it back right now. The stop placed with the order removes the chance to hope that a losing trade will come back. The practice-only week after a 6% weekly loss catches the slow slide of tiredness or stress.

A starter set of protective rules · shown above

Together they cap how much one bad mood can cost: Nora's Tuesday would have been −306.00 instead of −934.00.

How it fits together: streaks are normal, moods are predictable, and written rules cap the damage of both. The capstone lesson puts the whole course together: deciding whether to start trading at all, and if so, how small and with which rules.

  • Do
    "Each rule names its moment: after a loss, at −300, before every order, after a −6% week."
  • Don't
    "My rule: be disciplined."

    No moment, no number, nothing to check.

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