UIA RESEARCH ARCHITECTURE

Turning an investment system into reviewable research.

UIA Research translates the Dual-Core Investment System into defined research questions, evidence responsibilities, functional modules, and outputs that can be inspected, challenged, updated, and reviewed.

UIA Research explains how the UIA Dual-Core Investment System is translated into defined research questions, evidence responsibilities, functional modules, and reviewable outputs. The Library publishes UIA's public knowledge, while the Workstation applies the modules to asset-level assessment.

01 · RESEARCH STANDARDS

What makes research reviewable?

A conclusion is useful only when the path to it remains visible. UIA Research preserves the evidence, limits, countercase, and change conditions behind each judgment.

Sourced and traceable

What facts, sources, dates, and data-quality limits support the work?

Role-defined

What question is each form of evidence qualified to answer?

Countered

What is the strongest opposing evidence, uncertainty, or missing condition?

Updateable

What change would require a new classification, valuation, state, or conclusion?

Research should not hide uncertainty. It should make uncertainty reviewable.

02 · RESEARCH RESPONSIBILITIES

Two research paths. One shared evidence layer.

The two return engines require different primary research while drawing from a common evidence base. Shared facts can support both paths, but they do not create one universal conclusion rule.

LONG-TERM COMPOUNDING RESEARCH

Does the business deserve long-term capital, and what prospective return does today’s price offer?

Research focuses on business and industry quality, per-share value creation, capital allocation, valuation, expected return, ownership constraints, and reassessment.

MARKET DISLOCATION RESEARCH

Has a qualified asset become materially mispriced for reasons that appear temporary and repairable?

Research focuses on underlying qualification, attribution, dislocation location, market stress, absorption, repair, invalidation, and completion.

SHARED EVIDENCE LAYER

What does the current market environment add—and what can it not decide?

Market structure, macro context, options intelligence, liquidity, market function, and data freshness support both paths without replacing either primary judgment.

The full state meanings, capital roles, and execution boundaries belong to the UIA System.

Explore the UIA System

03 · FUNCTIONAL MODULES

UIA builds modules around the questions the System must answer.

The modules are organized by research responsibility, not by product tier. Each has a defined question, output, and boundary, and no fixed sequence is required for every user or every asset.

Business & Industry Qualification

Question: Does the underlying deserve deep research or capital consideration?
Output: Qualification, key constraints, primary evidence, and the strongest countercase.
Boundary: Price and technical strength cannot create business quality.

Valuation & Expected Return

Question: What return compensation does today’s price offer?
Output: Price state, conservative five-year return range, uncertainty, and reassessment conditions.
Boundary: A good business is not attractive at every price.

Market Dislocation & Attribution

Question: Is the move temporary mispricing or justified repricing?
Output: Attribution, reversibility, dislocation location, repair conditions, and invalidation boundaries.
Boundary: A large decline is not proof of mispricing.

Market Structure & Stress

Question: What is happening to price, participation, risk release, liquidity, and market function now?
Output: Structural state, stress context, absorption evidence, data freshness, and execution constraints.
Boundary: Structure, macro, and options are evidence—not a verdict.

Opportunity Scan & Research Prioritization

Question: Which assets deserve research attention first?
Output: Comparable candidates, reasons for inclusion, scan timing, and research priority.
Boundary: A scan candidate is not an investment adjudication.

Assessment, Review & Reporting

Question: How does evidence become a conclusion that can be revisited?
Output: Qualification, current state, countercase, missing conditions, change history, and structured reports.
Boundary: The output is research and assessment, not personalized trading instructions.

Capabilities are organized by responsibility, not by access tier or a mandatory tool sequence.

04 · RESEARCH OUTPUTS

Research becomes useful when it can be published, applied, and revisited.

The same research architecture can produce public knowledge, asset-level assessment, research prioritization, and dated records that preserve how a conclusion changed over time.

LIBRARY

Public knowledge and discovery

Core Research, thematic essays, and applied analysis are published and discovered in one durable content hub. New public reports and case studies can use the same layer as they are released.

Browse the Library

WORKSTATION

Asset-level application

Apply the functional modules to a known ticker through independent Long-Term Compounding and Market Dislocation assessments.

Open the Workstation

OPPORTUNITY SCAN

Research prioritization

Surface comparable market-structure candidates that deserve attention without turning a scan into an investment conclusion.

Open the Opportunity Scan

REPORTS & REVIEW HISTORY

Structured output over time

Preserve sources, countercase, missing conditions, changes, and later review in a dated research record.

The Library is the publication and discovery layer. The Workstation is the asset-level application layer.

05 · CAPABILITY AND BOUNDARIES

Verified capability is shown. Missing evidence remains visible.

UIA publishes only research functions and outputs that are supported by current data and approved research. When evidence is incomplete, the gap is preserved rather than replaced with a default answer.

Bounded research universe

Broad ticker lookup or scanning does not grant deep-research, Long-Term Compounding, or Market Dislocation qualification.

No evidence overreach

Market structure, macro, options, liquidity, and scans support research; none creates a final conclusion alone.

Evidence gaps remain explicit

Missing data, incomplete assessment, and stale evidence are displayed as limitations rather than silently converted into a score or default state.

Public and internal responsibilities remain separate

Public pages explain questions, module responsibilities, outputs, and limitations. Exact thresholds, model implementation, capital rules, and calibration remain internal.

UIA Research provides explainable research and structured assessment, not personalized investment or trading instructions.