A trading playbook is not a list of setups. It's a performance measurement system organized around your setups. The distinction matters because a list of setups tells you what you trade — a playbook tells you whether you should trade it more or less.
What belongs in a playbook entry
Each playbook entry should be specific enough to tag consistently across dozens of sessions without ambiguity. If two different traders reviewing your trades would disagree on which playbook entry applies, the entry is too vague.
Playbook entry fields
- Setup name: specific and consistent (not 'breakout' — 'London open range breakout')
- Market conditions that activate the setup (trend, range, news regime)
- Entry criteria: specific enough that they could be programmed
- Invalidation: what cancels the setup before entry
- Target and stop logic: how exits are determined
- Position sizing rule: how size is calculated for this setup
The tagging discipline that makes data accumulate
Every trade tagged to a playbook entry adds to that entry's win-rate, R-multiple history, and regime-sensitivity data. The value compounds. After 30 tagged trades per entry, you have enough data to know whether the setup has edge at all — and under what conditions that edge holds or breaks down.
“Thirty tagged trades reveals more about a setup than a year of undisciplined intuition.”
Understanding regime sensitivity
Most setups don't fail uniformly — they fail in specific market regimes. A breakout setup might run 65% win-rate in trending markets and 32% in ranging conditions. Without regime tagging in your journal, you can't see that — and you keep taking the setup regardless of the regime it's appearing in.
Regime tagging
Add a 'market regime' field to every trade: trending / ranging / volatile / news-driven. After 60 trades, filter your playbook analytics by regime. The performance differences are usually dramatic.
Culling the playbook over time
A playbook that grows without pruning becomes noise. Every quarter, review each setup's trailing 30-trade performance. Setups with negative expectancy in the current regime should be flagged and sized down or removed. The goal is a smaller, sharper playbook — not a comprehensive catalogue.
Rulevana
Build your playbook in Rulevana
Tag setups on every trade, see win-rate and R-multiple by setup, and refine your playbook with every review session.
Explore the playbookClosing the playbook review loop
The monthly playbook review is where the compound effect of journaling becomes visible. You can see, clearly, which setups are performing and which are degrading. You can see regime shifts in your win-rate. You can see whether your discipline with the playbook (measured by the 'off-plan' tag rate) is improving or declining.
That clarity — that a setup that was 58% win-rate in Q1 is now 41% in Q2, in the same market — is information that a spreadsheet can't give you. It requires tagged, structured, searchable trade data accumulated over sessions.