Market Intelligence
Swoopr Decision Quality Score
Swoopr Decision Quality Score is a local-first preparedness score for the decision process, not a rating of whether the investment itself is good or bad. It is designed to answer one narrow question: Have I defined the reasoning, risk, alternatives and invalidation conditions behind an investment decision? The output is educational market context, not a forecast, recommendation, or promise of future returns.
Direct Answer
Direct answer: The Swoopr Decision Quality Score rates the quality of the decision-making process behind an investment, not the merit of the investment itself. It evaluates inputs like thesis clarity, variant perception, a defined exit framework, position sizing relative to conviction, and awareness of key risks, producing a preparedness score that reflects how rigorously the decision was made. A high score on a losing trade still represents a quality process; a low score on a winning trade is still a process failure that will catch up over a large enough sample.
What It Measures
The central question this tool answers: Have I defined the reasoning, risk, alternatives and invalidation conditions behind an investment decision?
The evidence model draws from the following component families:
- Decision objective
- Time horizon
- Thesis statement
- Evidence and source quality
- Valuation or price framework
- Position-size rationale
- Maximum acceptable loss
- Invalidation condition
- Exit and review rule
- Alternatives considered
- Disconfirming evidence
- Review date
The objective is not to maximize the number of inputs but to capture independent information. Every component needs an independence rationale in the methodology registry explaining what unique information it adds and where it overlaps with other components.
How the Score Works
Each of the 12 components is scored based on whether it has been explicitly defined. The composite aggregates component scores with documented weights. All data remain local to the user's browser; no decision content is transmitted to Swoopr servers.
The score measures process quality, not outcome quality. A high score means the decision process is well documented. It does not predict whether the investment will be profitable.
Every reading publishes coverage separately from the score. If data are missing, the affected component is excluded, coverage falls, and the page tells the user. Missing data are never converted to a neutral score. The UI uses terms such as Full coverage, Partial coverage, Stale component and Methodology fallback.
Interpretation
| Score | Label | Interpretation |
|---|---|---|
| 0 to 24 | Unprepared | Most critical components are missing; the decision lacks a documented process. |
| 25 to 39 | Major gaps | A few components are defined but key elements (thesis, invalidation, size rationale) are missing. |
| 40 to 59 | Partial plan | Core elements are present but the plan has meaningful gaps in risk definition or exit rules. |
| 60 to 74 | Prepared | Most critical components are defined; the plan is usable but has room for additional rigor. |
| 75 to 100 | Well documented | All critical components are explicitly defined with specific, testable criteria. |
These bands are communication aids, not natural laws. A move from 59 to 60 is not a fundamental break in market reality. The page always shows the numeric value, trend, component contributions and the prior reading so context is visible rather than artificial cliffs.
How to Read It
Beginner: The score tells you which parts of your decision process are missing. Use it as a checklist: if the score is low, it identifies the specific gaps rather than just telling you the decision is incomplete.
Intermediate: Each component is displayed with its sub-score and a brief explanation of what a complete entry looks like. The tool highlights which gaps have the largest impact on the composite.
Advanced: Data remain local to your browser via localStorage. An explicit backup and export warning is shown because browser storage can be cleared. The methodology and scoring rubric are documented in the methodology page.
Failure Modes and Guardrails
- High process quality does not guarantee a profitable decision; the score measures the decision framework, not the investment outcome.
- Sensitive account information should never be entered; the tool is designed for thesis, reasoning and risk parameters only.
- Browser localStorage can be cleared; the page includes an explicit backup and export warning.
- The tool must not penalize investors for choosing an unpopular or contrarian thesis; it scores process completeness, not thesis agreement with consensus.
If data freshness exceeds the SLA, the component shows Delayed or Unavailable, preserves the last timestamp, and stops generating "current" language. If a data source changes definition or licensing, the affected component is disabled until it is reviewed.
Frequently Asked Questions
Is Swoopr Decision Quality Score a buy or sell signal?
No. It describes the condition named by the tool and does not recommend a transaction. A high or low reading can persist, and markets can move against the historical pattern associated with any indicator.
How often should it update?
The score updates as you fill in each component. Revisiting a decision at the review date you set is part of the process; the score reflects the state of documentation at that time.
Why use a 0 to 100 scale?
A common scale makes heterogeneous inputs understandable and allows consistent components across Swoopr. The scale does not mean 80 is twice as good as 40, nor does it represent an 80% chance of a market outcome.
This score is educational market context only. It is not investment advice, a forecast, or a promise of future returns.