About QuarterlyIQ

QuarterlyIQ is built for serious self-directed investors who want a clearer view of what changing macro conditions mean for portfolios over the next quarter. The product is designed to cut through noise, reduce dependence on scattered finance media, and keep investors anchored in what actually matters.

Our goal is simple: deliver disciplined, investor-grade context with quality, transparency, and speed, without asking people to pay institutional prices or stitch together ten different tools.

What QuarterlyIQ Does

QuarterlyIQ is currently macro-first. It is designed to answer a handful of recurring questions every serious investor has each quarter:

Where are we in the macro and policy cycle, and what is changing?
Which releases matter most right now for rates, risk, and sector positioning?
How do inflation, growth, labor, policy, and curve signals connect to portfolio context?
What is the clearest operating view for the next quarter, not just the next headline?

Instead of giving you another dashboard to watch, QuarterlyIQ focuses on reducing complexity by surfacing the regime shifts that matter and tying them back to investment implications.

Who We Build For

QuarterlyIQ is built for investors who want process and context, not a stream of hot takes:

Serious retail investors who think in quarters, not ticks.
Active investors who want macro conditions translated into sector and portfolio context.
Longer-horizon investors who care more about the next quarter than the next headline.
Independent investors who want something more disciplined than free finance media.

The product is intentionally opinionated: it is for people who prefer structured insight over feeds of unfiltered headlines.

How QuarterlyIQ Works

Under the hood, QuarterlyIQ combines structured data pipelines with AI-assisted synthesis, but the outputs stay grounded in observable data:

Deterministic data layer. Economic releases, company fundamentals, factor data, and market prices are ingested, normalized, and checked against consistency rules before they feed the workflow.
Analytics and overlays. The system tracks inflation, labor, growth momentum, policy, and cross-asset signals so the weekly view is backed by visible evidence.
Model-assisted interpretation. AI helps summarize and prioritize the incoming information, but the underlying data remains visible alongside the interpretation.

The result is a system designed to move faster than a manual workflow without drifting into black-box commentary.

Data Sources

Built on trusted public data and interpreted through a disciplined macro workflow.

FRED

BEA

BLS

Federal Reserve

Treasury

Conference Board

Product Principles

Cycle-aware by default. Everything in QuarterlyIQ is organized around economic and market regimes, not arbitrary date ranges.
Transparent, not magical. We show assumptions, inputs, and context instead of hiding behind opaque scores.
Research first, UI second. Visuals are there to clarify the story in the data, not to add motion for its own sake.
Human-in-the-loop. The system is designed to augment a thoughtful process, not replace portfolio judgment.

What's Next

If you want a clearer next-quarter view of the macro backdrop and how it may affect sectors and portfolios, QuarterlyIQ is built for you. The public product is evolving quickly, and early users have a direct line into the roadmap.

You can explore a live view of the economy on the Economy page, or get started directly from the Pricing page.