What a Playbook Is (and Isn't)
A trading playbook is a documented collection of your specific setups — each with defined entry criteria, confirmation requirements, invalidation conditions, risk parameters, and associated performance data from your own trading history.
It is not a general strategy guide. It is not a list of patterns from a book. It is a personal system document that evolves from your own data.
This distinction matters because the most common mistake in playbook-building is treating it as a repository of general trading knowledge rather than as a data-backed record of what specifically works for you.
A setup in your playbook should have been traded at least 20 times before you codify it. It should have demonstrable edge in your own data — a positive expectancy, a profit factor above 1.3, some minimum win rate that makes sense for your R:R ratio. Without that, you're documenting theory, not proven performance.
The Anatomy of a Good Setup Entry
Each setup in your playbook needs:
1. Setup name
Give it a specific name you'll use consistently. "VWAP Reclaim" is better than "momentum long." Names create anchors that make the pattern more recognisable in real time.
2. Entry rules (objective)
These should be binary — either met or not met. Avoid vague language like "bullish structure" without defining what that means. Good: "Price reclaims VWAP on a 5-minute close with volume above 20-period average." Bad: "Looks like it wants to go higher."
3. Confirmation criteria
Secondary conditions that improve the probability. Example: "Higher timeframe (15m) trend aligned with direction."
4. Invalidation conditions
What makes this trade invalid before entry. Example: "Spread above 2 ticks." "Major news within 5 minutes." These prevent you from forcing setups in bad conditions.
5. Entry timing
When exactly to enter. On the close of the signal candle? On the open of the next candle? On a retest? Be specific.
6. Stop loss rule
Where the stop goes and why. Should be mechanical, not discretionary.
7. Target / exit rule
Initial target (1R? 2R? Key level?) and trailing stop rules if you use them.
8. Performance data
Win rate, average R, profit factor, number of trades. Updated regularly.
Example Playbook Entry: VWAP Reclaim Setup
| Field | Detail |
|---|---|
| Setup name | VWAP Reclaim |
| Asset classes | US equities, index futures |
| Session | New York morning (9:45–11:30 EST) |
| Signal | Price reclaims VWAP on 5m candle close, above VWAP open |
| Confirmation | Volume > 20-period MA; HTF trend aligned |
| Invalidation | Major news in next 5 min; spread > 2 ticks; within 5 min of market open |
| Entry | Next 5m candle open after confirmed signal |
| Stop loss | Below low of signal candle |
| Initial target | 2R |
| Trail rule | Move to breakeven at +1R; trail with 5m ATR above +1R |
| Performance | 68% win rate, 2.1R avg, 2.4 profit factor (87 trades) |
When to Add a Setup to Your Playbook
A setup earns its place in the playbook when:
- You can articulate the entry rules in writing without ambiguity
- You have taken it at least 20 times (30+ preferred)
- It shows positive expectancy in those trades
- You can identify it consistently in real time — not just in hindsight
The minimum sample size requirement is important. With fewer than 20 trades, variance dominates. A setup that looks like it has 70% win rate over 10 trades might show 50% over 100 trades. The data isn't reliable yet.
When a setup meets these criteria, add it to the playbook and track it separately going forward. The ongoing tracking is what generates the performance data column in the table above.
When to Remove or Modify a Setup
Setups change as markets change. A setup that worked well in trending conditions may underperform in ranging conditions. Your job is to track this and respond to the data.
Consider removing a setup when:
- Profit factor has dropped below 1.0 over 30+ recent trades
- Win rate has dropped significantly from its historical baseline (not just one bad week)
- You cannot articulate why it's performing differently
Consider modifying a setup when:
- The entry rule is being met but performance data shows consistent improvement when an additional filter is applied
- You're regularly taking the setup in conditions where it underperforms (add an invalidation rule)
The key principle: changes to the playbook should be driven by data, not by emotion. Don't remove a setup because it had a bad week. Don't modify entry rules because you missed a winner that didn't meet the criteria. Follow the plan, collect data, review at a sufficient sample size.
The Playbook as a Living Document
A playbook is not set-and-forget. It should be reviewed quarterly:
- Which setups improved in win rate? Why?
- Which setups declined? Is this market condition or rule deviation?
- Are there patterns in your trading that suggest a new setup might be worth documenting?
Over time, most traders find their playbook converges to 3–5 core setups that account for the majority of their P&L. The discipline is ignoring everything else.
Tradapt's playbook builder tracks all of this automatically — per-setup win rate, profit factor, average R, and trade count — linked to your live trading data. New trades tagged with a setup update its performance stats in real time.
Build your playbook with real performance data from your trades. [Start free on Tradapt](/register) — import your trade history and see per-setup breakdown immediately.