Most market commentary is one person's opinion, formed fresh each day and colored by mood, headlines, and bias. A rules-based engine removes the person from the process. The Given engine reads the same data through the same fixed math every single trading day — no opinions, no drift, no shortcuts. It classifies the economic environment and scans 407 stocks, then publishes exactly what it observed.
Short definition
The engine answers two questions every trading morning: what is the current market environment, and how strongly is it supported by the data? And which individual stocks currently show all four independent tests agreeing at once?
It's automated and rules-based. It doesn't form opinions, make discretionary calls, or predict. It reads the data, applies a fixed framework, records what it saw, and publishes.
Why a rules-based engine exists
Most macro commentary depends on human interpretation — a strategist reads the data, forms a view, publishes an opinion. That has two weaknesses: it's inconsistent, and it doesn't scale.
The same analyst looking at the same data on two different days can reach different conclusions because of attention, bias, or recent headlines. And no human can reliably read 21 economic series and scan 407 stocks every morning without taking shortcuts. The engine exists to remove personality from the process and make consistent daily coverage possible. The rules don't change with mood, news flow, or social pressure. The same math runs every day — and that consistency is the foundation of everything Given Analytics publishes.
What the engine does
The engine runs two parallel operations each trading day — independent processes sharing the same discipline, producing different outputs.
The macro side reads the environment along two axes, growth and inflation, scoring leading and lagging indicators with rate-of-change momentum across a fixed set of economic series. It produces a macro regime (Expansion, Acceleration, Stagflation, or Contraction), a Coherence Score (0-100, how strongly indicators agree), and a Confirmation Score (0-21, how many series support the regime). These appear in the Morning Brief, daily video, and public regime history.
The symbol side scans 407 liquid stocks across four independent tests — Price Structure, Rate of Change, Risk Regime, and Market Participation. When all four agree on a stock (Four Layer Alignment), it records a timestamped mathematical condition. The macro side doesn't choose which stocks get scanned, and the stock side doesn't set the regime — they're separate outputs shown together so members see the context and the alignment side by side.
The input universe
The engine works with two input sets. 21 macroeconomic series from the Federal Reserve classify the regime and compute the scores — growth and inflation indicators like payrolls, industrial production, retail sales, housing starts, jobless claims, yield curves, CPI, PCE, producer prices, breakeven inflation expectations, and commodity prices. 407 liquid symbols feed the stock-level scan — equities, ETFs, and related instruments, with the exact composition proprietary.
All inputs refresh daily. If a primary source fails, the engine falls back to a last-known-good cache so it keeps publishing through data outages.
Reliability and daily publishing
The engine is built to publish every trading day even if part of the pipeline fails. Safeguards include last-known-good caching when a data source errors, freshness monitoring when a series goes stale, automated health checks that flag output drift, and daily snapshot logging so every regime read and observation is preserved with metadata. These controls are why Given Analytics publishes on a consistent cadence rather than as discretionary commentary.
Why it's proprietary
The concepts aren't unique — leading versus lagging indicators, momentum, regime classification, and multi-factor alignment are long-established. What's proprietary is the implementation: which 21 series are used and how they're weighted, which 407 symbols are included and how the universe is maintained, how each of the four tests is defined mathematically, how momentum is computed, how the pieces combine into the regime and scores, and how the calibration constants were derived from 152 historical monthly observations spanning 2005 through 2026. Subscribers see the outputs and history; the formulas remain private.
What the engine does not do
It does not issue buy or sell recommendations, predict future prices or regime transitions, change its rules based on headlines, incorporate discretionary human judgment, or produce personalized outputs for individual portfolios. It's 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 it produces is personalized investment advice.
Related terms
Coherence Score — how strongly leading and lagging indicators agree, 0-100.
Confirmation Score — how many of 21 series support the regime, 0-21.
Four Layer Alignment — the four-test framework behind flagged stocks.
Mathematical Condition — the record created when all four tests agree.
Macro Regime — the four-quadrant environment classification.
Explore the full glossary for every term.
How to cite
The Given 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 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