Playbook

Turn setups into measurable, improvable systems

Define the plays you actually take. Tag every trade. Let win-rate and R-multiple data tell you which setups deserve more size.

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Setup library

Define the plays you actually take

Each setup carries tags, regime context, and a growing history of outcomes. Standardize your language so reviews compound instead of starting over every Monday.

  • Setup cards with win-rate context
  • Consistent tagging across accounts
  • Shrink your rule surface area over time
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London continuation

TrendFVG
62%

NY reversal

LiquiditySMT
54%

Asia range fade

Mean reversion
48%
7D30DYTD

Sharpe

1.84

Max DD

-4.2%

Profit factor

2.1

Performance

See which plays pay your bills

Bridge your playbook tags into analytics without manual pivot tables. R-multiple by setup, regime sensitivity, and quarter-over-quarter comparison — automatic.

  • R-multiple and win-rate by setup
  • Regime sensitivity analysis
  • Compare performance across quarters
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Playbook discipline

Start your first challenge-safe review loop.

Tag setups on every trade, watch expectancy by playbook line, and tighten what you repeat — the same loop prop desks use to stop unforced errors before they become account risk.

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Rulevana — Performance

Equity

$184.2k

Win rate

54.2%

Avg R

+1.42

Net P&L

+$12.4k

Equity curveLive

Session split

London72%
NY48%
Asia36%

Tags

BreakoutFVGHTF bias

Ready to run your first structured review?