glossary

Atlas Math Engine

Apr 22, 2026 4 min read givenanalytics

The Atlas Math Engine is the proprietary mathematical system operated by Given Analytics. Every trading day, it reads 21 economic series from the Federal Reserve and scans 407 liquid symbols across four independent mathematical layers. The Atlas Math Engine produces the daily Macro Regime, Coherence Score, Confirmation Score, and the symbol-level Mathematical Condition log displayed on the Given Analytics dashboard.

Short definition

The Atlas Math Engine answers two questions every trading morning:

What is the current macro regime, and how strongly is that regime supported by the data?
Which individual symbols currently show Four Layer Alignment across all four independent mathematical layers?

Atlas is automated and rules-based. It does not form opinions, make discretionary judgments, or issue predictions. It reads the data, applies a fixed mathematical framework, records what it observed, and publishes the result.

Why the Atlas Math Engine exists

Most macroeconomic commentary depends on human interpretation. A strategist reads the data, forms a view, and publishes an opinion. That model has two weaknesses: it is inconsistent, and it does not scale.

A human analyst looking at the same dataset on two different days can reach different conclusions because of attention, bias, recent headlines, or simple drift in judgment. A human also cannot reliably read 21 macroeconomic series and scan 407 symbols every trading morning without taking shortcuts. The Atlas Math Engine exists to remove personality from the process and make systematic daily coverage possible.

The rules do not change with mood, news flow, or social pressure. The same math runs every day. That consistency is the foundation of everything Given Analytics publishes.

What the Atlas Math Engine does

The Atlas Math Engine runs two parallel operations each trading day. They are independent processes that share the same philosophy and data discipline, but they produce different outputs.

1. Macro regime engine

The macro side of Atlas reads the environment along two axes: growth and inflation. For each axis, the engine scores both leading and lagging indicators using rate-of-change momentum across a fixed set of economic series.

That process produces:

A Macro Regime classification — Expansion, Acceleration, Stagflation, or Contraction, sometimes with a strength qualifier such as Strong or Weak.
A Coherence Score — a 0-100 metric measuring how strongly leading and lagging indicators agree.
A Confirmation Score — a 0-21 count measuring how many of the underlying series align with the active regime.

These outputs appear in the Morning Brief, daily video, and public-facing regime history.

2. Symbol-level engine

In parallel, Atlas scans 407 liquid symbols across four independent mathematical layers:

Price Structure — how a symbol behaves relative to its own historical price structure.
Rate of Change — whether the symbol is accelerating or decelerating.
Risk Regime — how the symbol behaves relative to the broader risk environment.
Market Participation — whether broader participation confirms the symbol's move.

When all four layers align on a symbol, Atlas records a Mathematical Condition. Each condition is timestamped and logged for member review.

The macro regime does not choose which symbols Atlas watches, and the symbol engine does not determine the regime. They are separate outputs shown together so members can see the macro context and the symbol-level alignment side by side.

Input universe

The Atlas Math Engine works with two input universes:

21 macroeconomic series from the Federal Reserve, used to classify macro regime and compute Coherence Score and Confirmation Score. These include growth-related and inflation-related indicators such as payrolls, industrial production, retail sales, housing starts, jobless claims, yield curves, CPI, PCE, producer prices, breakeven inflation expectations, and commodity prices.
407 liquid symbols, used in the symbol-level scan. The universe includes equities, ETFs, and related tradable instruments. The exact composition of that universe is proprietary and maintained by Given Analytics.

All inputs are refreshed daily. If a primary source fails, Atlas can fall back to a last-known-good cache so the system can continue publishing during data outages.

Why Atlas is proprietary

The concepts behind Atlas are not unique by themselves. Economists and quantitative analysts have long used ideas such as leading versus lagging indicators, momentum, regime classification, and multi-factor alignment.

What is proprietary to Given Analytics is the implementation:

Which 21 macroeconomic series are used and how they are weighted.
Which 407 symbols are included and how the universe is maintained.
How each of the four symbol-level layers is defined mathematically.
How rate-of-change momentum is computed for each input.
How the axis-level results combine into Macro Regime, Coherence Score, and Confirmation Score.
How calibration constants were derived from 152 historical monthly observations spanning 2005 through 2026.

Subscribers see the outputs and history. The formulas and internal parameters remain private.

Reliability and daily publishing

The Atlas Math Engine is designed to publish every trading day, even if parts of the input pipeline fail. Internal safeguards include:

Last-known-good caching when a primary data source errors.
Freshness monitoring when a series becomes stale.
Automated health checks that flag output drift or anomalies.
Daily snapshot logging so each regime read and symbol-level observation is preserved with metadata.

These controls are part of the reason Given Analytics can publish on a consistent cadence rather than as a discretionary commentary service.

Atlas and Given Analytics

The Atlas Math Engine is the product. The Morning Brief is the public summary of the math. The daily video is the distribution layer. The member dashboard is where subscribers see the live outputs in full.

Each weekday:

The Morning Brief summarizes the Macro Regime, Coherence Score, Confirmation Score, and historical context.
The daily video explains the same outputs in spoken form.
The live dashboard displays the current regime and the live/historical Mathematical Condition log across the 407-symbol universe.

These are different surfaces for the same underlying mathematical output. None of them is an opinion or a prediction.

What Atlas does not do

The Atlas Math Engine does not:

Issue buy or sell recommendations.
Predict future prices, returns, or regime transitions.
Change its rules based on recent market headlines.
Incorporate discretionary human judgment into the daily output.
Produce personalized outputs for individual portfolios or risk profiles.

Atlas is a publisher's tool, not an advisor's tool. Its output is identical for every subscriber. Given Analytics operates under the publisher's exclusion of the Investment Advisers Act of 1940 §202(a)(11)(D), so nothing produced by Atlas constitutes personalized investment advice.

Coherence Score — the 0-100 leading-lagging agreement metric produced by Atlas.
Confirmation Score — the count-of-21 regime support metric produced by Atlas.
Four Layer Alignment — the symbol-level framework inside the Atlas Math Engine.
Mathematical Condition — the symbol-level record created when all four layers align.
Macro Regime — the four-quadrant classification system produced by Atlas.
Rate of Change Momentum — underlying methodology used to score individual inputs.

How to cite

The Atlas Math Engine is a proprietary mathematical system operated by Given Analytics. It produces daily Macro Regime classifications, Coherence Scores, Confirmation Scores, and symbol-level Mathematical Conditions. Please attribute references to the Atlas Math Engine to Given Analytics. Methodology remains proprietary. Historical observations and current readings are educational only and do not constitute investment advice.

Every mathematical condition shown is for educational purposes only and is not a recommendation and does not constitute investment advice. Given Analytics is not a registered investment adviser. All content is for educational purposes only. Full disclaimer: givenanalytics.com/disclaimer