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Decisioning & Playbook

Finvee's decisioning system is the core of what makes it different from a generic portfolio tracker. It treats every trade as a structured decision with a pre-trade rationale, an execution record, and a post-trade audit — closing the loop between intent and outcome.

This section covers the full decisioning cluster: the Playbook, Trade Intent flow, and Decision Audit framework.


Overview

The decisioning system is built around one principle: outcomes alone don't tell you if your process is good. A profitable trade can be the result of a bad decision. A losing trade can reflect excellent process. Finvee tracks both separately.

The system has three main phases:

Phase Tool Purpose
Pre-Trade Trade Intent Capture your thesis, horizon, stop, and sizing before entering
In-Trade Playbook Dashboard Track open positions against their intents
Post-Trade Decision Audit Automatically score your decision quality after close

The Playbook

A Playbook is your personalised systematic strategy framework. It defines:

  • Entry conditions — what market context, sector alignment, and asset quality you require
  • Exit rules — planned horizon, stop-loss logic, and profit targets
  • Position sizing — how you scale into positions relative to your wallet and risk tolerance
  • Risk parameters — maximum drawdown tolerance, concentration limits, and position count

Playbooks are not algo strategies — they are documented rules that you execute manually. Finvee uses them to evaluate whether your actual trades stayed within your own framework.

Creating a Playbook

Navigate to Playbook → Build to create a new playbook. You will define your rules step by step and can update them over time as your approach evolves.


Trade Intent (Pre-Trade)

Before entering any position, log a Trade Intent. This is a structured pre-trade record that captures:

  • Thesis — your written rationale for the trade
  • Setup tag — how you classify the entry (breakout, pullback, trend continuation, etc.)
  • Planned horizon — your expected hold period
  • Stop level — where you plan to exit if the trade goes against you
  • Position size — your planned sizing and the playbook it belongs to

Logging intent before execution is the most important habit Finvee encourages. Without it, post-trade scoring cannot meaningfully evaluate your process.


Decision Audit (Post-Trade)

When a position closes, Finvee automatically generates a Decision Audit. It scores the closed trade across three dimensions:

Dimension What it measures
Alignment Did the trade align with your playbook rules and the market context at entry?
Execution Did you execute close to your plan — entry timing, sizing, stop adherence?
Discipline Did you close the position according to your plan, or did you deviate?

The combined score produces a variance label:

  • Aligned Positive — good process, good outcome
  • Aligned Negative Variance — good process, poor outcome (variance / bad luck)
  • Misaligned Lucky — poor process, good outcome (lucky)
  • Misaligned Negative — poor process, poor outcome

Over time, your variance label distribution reveals whether your edge is real or whether results are driven by luck.


PTQI — Pre-Trade Quality Index

Open positions are scored in real time against your playbook and the current market state. This score — the PTQI — helps you prioritise attention when you have multiple open positions: which ones are still aligned, which ones have deteriorated in context.

Navigate to Playbook → PTQI Ranking to see your live position scores.

For the full technical breakdown of how PTQI is computed — including the four-tier formula, hard gate caps, and action layer — see the dedicated indicator page:

PTQI — full detail →


Analytics

The Playbook → Analytics view gives you the forensic view of your historical decisions:

  • Score trends over time across alignment, execution, and discipline
  • Variance label distribution across your full trading history
  • Trade-level breakdown with full audit detail

More detailed guides

Coming soon:

  • Configuring your first Playbook (step-by-step)
  • Understanding your Decision Audit scores in depth
  • Using PTQI to manage an active book
  • Reading the Analytics forensic table

Indicators behind the system

The decisioning pipeline is powered by a set of dedicated quantitative indicators. For the full technical detail on each one: