Build, review & worked examples

1 Where plays come from

Build it from your own trades

The best playbook isn't copied from a book — it's mined from your own results. Every trade you take is raw data: the ones that worked, studied closely, become candidate plays; the ones that didn't reveal the look-alikes to avoid. Your job is to notice the patterns in your own winners and write them up with the Lesson 2 template.

Start a "candidate" section. When a trade works and you can articulate why, draft it as a play. When you've gathered enough instances to test it (Lesson 4), promote it to the main book. This is how a playbook grows honestly — earned, not borrowed.

2 The review loop

A living document, not a binder on a shelf

• ·Log every instance tied to its play and graded on process, using the daily report card habit.
• ·Review on a cadence — weekly and monthly. Look at each play's running stats and the mistakes you made executing it.
• ·Then act: promote a candidate that's proven its edge, demote (cut size on) one that's slipping, and retire one that's stopped working or whose conditions have vanished.

3 Worked example A

An intraday play in the template

Here's the Opening-Range Breakout from the strategy library, compressed into the Lesson 2 template so you can see the shape of a finished page:

4 Worked example B

A swing play in the template

The same template fits a multi-day swing play just as well. Here's the Volatility-Contraction Pattern:

Notice both plays use the same ten fields — only the content changes. That consistency is the point: it makes every play comparable, gradable, and testable. Browse the full strategy library for more finished plays to model yours on.

★ You're done

From here

You now have the whole loop: define a play with the ten components, grade and size it, test it honestly, and keep it alive through review. Add one play at a time, prove each before you trust it, and let your book grow into a small set of setups you know cold.