Methodology

Measure the evidence. Record the uncertainty.

The Market Fieldbook combines multiple research layers to understand the environment, identify durable businesses, and test investment theses over time.

Why the process uses multiple horizons

Markets, economies, and businesses move at different speeds. Daily price behavior can change before official economic data. Economic trends can persist after market leadership has shifted. Company fundamentals can remain strong while valuation or market confirmation weakens.

The Fieldbook therefore separates the process into recurring daily, weekly, monthly, and company-level research layers.

Daily market layer

The daily process evaluates the condition of the market itself. It examines areas such as:

  • price trend and risk appetite;
  • market breadth and participation;
  • growth, cyclical, and defensive leadership;
  • credit behavior;
  • volatility and stress;
  • confirmation and divergence.

The purpose is not to forecast the next session. It is to determine whether the market environment is broad, narrow, strengthening, deteriorating, or internally conflicted.

Weekly economic layer

The weekly process organizes economic evidence across growth, labor, inflation pressure, credit, and liquidity.

Faster market-sensitive evidence is compared with slower official data. This helps distinguish a durable economic transition from a temporary market reaction.

Monthly factor layer

The monthly factor process studies which broad characteristics are being rewarded by investors. These can include size, value, profitability, investment, momentum, and related market-structure evidence.

Factor leadership is treated as context, not as an automatic trading instruction. Persistence, breadth, and rotation matter more than a single monthly reading.

Company research layer

The Company Scorebook organizes research attention using four broad dimensions:

  • business quality;
  • valuation;
  • balance-sheet strength;
  • market confirmation.

The framework also considers data availability, industry differences, historical changes, and whether the standard model is appropriate for the company.

Scores identify questions worth investigating. They do not replace qualitative research, expected-return analysis, or portfolio judgment.

How evidence is interpreted

The methodology emphasizes five concepts:

  • State: what the evidence currently indicates.
  • Change: what moved since the prior observation.
  • Confirmation: whether independent evidence supports the same conclusion.
  • Divergence: where important evidence disagrees.
  • Persistence: whether a change survives long enough to become meaningful.

Confidence and data freshness

A reading is only as useful as the evidence behind it. The system tracks missing inputs, stale observations, conflicting signals, and areas where confidence should be reduced.

When reliable evidence is unavailable, the methodology favors an explicit limitation over false precision.

Thesis testing and invalidation

Company research is converted into a testable thesis. The thesis identifies expected evidence, key risks, monitoring questions, and conditions that would weaken or invalidate the original view.

New evidence can strengthen, weaken, revise, or terminate a thesis. Research status is therefore allowed to change rather than being forced into a permanently bullish or bearish label.

What remains proprietary

The public methodology explains what is measured, why it matters, and how conclusions are evaluated. It does not disclose every model weight, transformation, threshold, source-selection rule, prompt, data-processing detail, or internal implementation method.

Those details are retained to protect the integrity of the research system while still giving readers enough information to understand the process and its limitations.

Limitations

No universal framework works equally well for every company or market regime. Financial institutions, insurers, real estate businesses, development-stage companies, and other specialized industries may require different analytical treatment.

Historical relationships can change. Market prices can move before supporting evidence appears. High-quality data can still be interpreted incorrectly. No score or regime label removes uncertainty.

What the Fieldbook is not

The Market Fieldbook does not provide personalized investment advice, guaranteed forecasts, automatic buy-or-sell signals, price targets, or claims of certainty.

It provides a structured research record intended to support disciplined observation, investigation, thesis formation, and decision review.