How to write a trading playbook you will actually follow

Last reviewed 27 July 2026.

You already know you should have a playbook. You’ve probably written one — maybe more than once. It felt disciplined for about a week, then a trade went against you, you improvised “just this once,” and the document quietly became fiction. The problem almost never is that you lack willpower. The problem is that the rules you wrote were impossible to follow, because they were impossible to check.

A rule you cannot check is not a rule — it is a hope. “Cut losers quickly” sounds like discipline, but at 2pm on a red day, “quickly” means whatever your fear tells you it means. This guide fixes that. We’ll walk through the five categories every playbook needs, show good and bad wording side by side so you can feel the difference, and hand you a ten-rule starter you can paste into a document today. Everything here is method first; the tool comes at the end, and only because reviewing whether you followed your rules is the hard part.

Why most playbooks fail: vague rules

A trading playbook is a written set of rules that governs what you do before, during, and after a trade. The test of a good rule is brutally simple: hand your last fifty trades to a stranger, and they should be able to mark each rule pass or fail for every trade without asking you a single clarifying question. If they need to ask “what did you mean by strong?” or “how overextended is too overextended?”, the rule is broken.

This is why vague rules feel productive to write but do nothing in practice. “Don’t overtrade” cannot be graded. “Take no more than three new positions per day” can — you either took four or you didn’t. The moment a rule becomes a number, a comparison, or a yes/no condition, two things happen: you can obey it in the heat of the moment because there’s nothing to interpret, and you can review it afterwards because there’s a fact to check against. Vagueness is the enemy of both obedience and review. Every improvement in this article comes back to that one idea.

The manual method for building the playbook is the same work you’d do with any tool, so learn it by hand first. Pull your last twenty to fifty trades from a broker export or your journal. For each one, write down in plain language why you entered, why you exited, and how big the position was. Read them back. You will see patterns — the setups that recur, the exits you fumbled, the position that was three times your normal size because you “felt sure.” Those patterns are the raw material of your rules. You are not inventing a system from theory; you are writing down what your best trades already did and what your worst trades violated.

The five rule categories, with good vs bad wording

Every complete playbook covers five categories. Skip one and you leave a door open for improvisation exactly where it hurts. Here is what each category is for, and how to word it so it survives contact with a live market.

1. Setup rules — what must be true before you even consider a trade. This is your filter. A bad setup rule describes a vibe (“looks like it’s breaking out”); a good one lists conditions you can verify on a chart or a screen. Write it as a checklist where every item is objectively true or false: price relative to a moving average, a specific volume threshold, a level being reclaimed. If you cannot screenshot the chart and point to why the setup is valid, the rule is still a vibe.

2. Entry and sizing rules — the exact trigger and the exact size. The two most expensive words in trading are “feel” and “confident.” Replace them with arithmetic. A testable sizing rule ties position size to a fixed percentage of your account and the distance to your stop, so size falls out of the setup rather than out of your mood. “Risk 1% per trade” is a rule; “go big when it’s a layup” is how accounts blow up. Your entry trigger should be equally concrete — a break of a named level, a close above a named line — not “when it feels right.”

3. Exit rules — decided before you’re in, not while you’re bleeding. This is where playbooks die, because exits are emotional and the market is designed to make you hesitate. Pre-commit to a stop price, a target or trailing method, and any time-based exit, all in numbers. “Let winners run” is not an exit rule; “trail the stop to breakeven after +1R and to the prior swing low after +2R” is. Deciding exits in advance is the single highest-leverage habit in this whole document, which is why it deserves its own deeper read.

4. Risk and portfolio rules — the circuit breakers. Individual-trade rules are not enough; you need limits that protect you from a bad day or a crowded book. Cap loss per trade, per day, and per correlated theme, and define the condition that stops you trading entirely. A good version names all three numbers. A bad version (“manage risk sensibly”) names none and so protects you from nothing when you most need protecting.

5. Review rules — how the playbook improves itself. A playbook that never changes is either perfect or ignored, and it’s never perfect. Schedule the review, name what you count, and pick the one metric that decides whether a rule stays. A testable review rule says when (“every Sunday”), what (“tag reason, conviction and emotion; flag broken rules”), and the decision threshold (“retire any rule I broke on more than a third of trades and win-rate didn’t suffer”). Without a review rule, you accumulate rules but never prune them, and an overgrown playbook is as useless as no playbook.

The copy-paste ten-rule starter playbook

Here is a complete ten-rule starter you can paste into a document right now and edit to fit your style, instruments, and account size. It is deliberately opinionated so you have something concrete to react to — treat the numbers as placeholders and replace them with your own once your history tells you what actually works for you. Every rule below is worded to be gradable pass or fail.

Notice what these rules have in common: not one of them requires you to interpret your own state of mind in the moment. Rule 4 is arithmetic. Rule 7 is a stopwatch and a percentage. Rule 9 doesn’t ask you to be calm — it just asks you to record how you felt, which is the raw data that later tells you whether your best trades and your calmest entries are the same trades. That recording habit is where a written playbook connects to the two things that actually predict whether you’ll keep it: the journal fields you capture on every trade, and the exit triggers you commit to in advance.

If you want to go deeper on two of these categories, read our guide to the journal fields that actually change your results for rules 9 and 10, and our breakdown of exit triggers that work for rules 5 and 6. Those two categories — behaviour capture and pre-committed exits — are where the biggest, fastest improvements hide.

What this doesn't tell you

A playbook tells you what you intended to do; it cannot tell you whether you actually did it — that only comes from reviewing real trades against the rules, honestly, over time. This article also can’t hand you the “right” numbers: the 1% risk, the 50-day average, the two-loss daily stop are all sensible defaults, not truths, and your own history should overwrite them. Just as importantly, this framework is built for investors and swing traders working over months to years across two to four brokers — the people StackViewer is designed for. If you’re a day trader making dozens of entries an hour, you need rules and tooling that update in real time, and StackViewer is not that: it syncs three times a day and refreshes values roughly every thirty minutes, so it is a review-and-journal tool, not a live trade cockpit. Finally, custom or unlisted assets and some EU broker connections fall outside our 31 supported brokers, so a hand-kept log may still be the honest answer for part of your book. A playbook is a discipline, not a guarantee — it reduces the number of decisions you make in a panic, and that’s the whole point.

Frequently asked

What is a trading playbook?

A trading playbook is a written set of rules covering the conditions you require before entering, how you size and enter, how you exit, how you cap risk, and how you review. Good rules are testable: any reader could look at your trade history and mark each rule pass or fail.

How many rules should a trading playbook have?

Start with ten. A playbook you can recite under pressure beats a forty-page manual you never open. The ten-rule starter in this article covers setup, entry, sizing, exits, risk and review, and you tighten it as your own history teaches you which rules actually change outcomes.

This article is for information only. It is not financial, investment or tax advice, and nothing here is a recommendation to buy or sell any security. StackViewer analyses decisions you have already made; it does not predict returns. Past performance does not indicate future results.