About Dedicated Finance
A weekly macro regime dashboard built on public data and independent analysis.
What This Is
Dedicated Finance is a macro regime detector. It answers three questions clearly and quickly: is liquidity expanding or contracting, is risk appetite rising or falling, and is the real economy strengthening or weakening.
The dashboard tracks 55 indicators across liquidity, global markets, bonds and credit, real economy activity, and speculative positioning. Each metric is contextualised with a Z-score relative to its 3-year history, a 4-week rate of change, and a 52-week range position — so you can see not just where things are, but how unusual the current reading is.
AI-generated commentary provides a weekly regime narrative and per-chart context. The regime bar summarises the three core questions with rule-based logic. No predictions. No investment recommendations.
Who Built This
Dedicated Finance is created and maintained by an independent data professional with 25+ years of experience in financial analytics, credit risk modelling, and data engineering for UK financial institutions.
This project applies institutional-grade data standards to public macro analysis — combining professional rigour with an independent perspective and no conflicts of interest.
No exchange affiliations. No pressure to generate trading signals. Freedom to focus on data quality and analytical integrity over quarterly metrics.
Data Sources & Update Frequency
All data is sourced from public APIs and official publications — FRED, CFTC, and market data providers. The full pipeline refreshes every week. The table below shows the update frequency and typical data lag for each category.
| Metric | Frequency | Typical Lag |
|---|---|---|
| M2 Money Supply | Monthly | ~4 week lag |
| Fed Balance Sheet | Weekly | Released Thursday |
| Treasury General Account | Weekly | Released Thursday |
| Reverse Repo | Daily | Previous business day |
| Yield Curves (2s10s, 3m10y) | Daily | Previous business day |
| Credit Spreads (HY / IG) | Daily | Previous business day |
| Chicago Fed NFCI | Weekly | Released Friday |
| ISM Manufacturing PMI | Monthly | First business day of month |
| ISM Services PMI | Monthly | Third business day of month |
| Housing Starts | Monthly | ~3 week lag |
| Equity Indices (6 markets) | Daily | Previous close |
| VIX / MOVE Index | Daily | Previous close |
| DXY, USDJPY | Daily | Previous close |
| WTI Crude, Copper | Daily | Previous close |
| Bitcoin | Daily | Previous close |
| SOFR | Daily | Previous business day |
| COT Positioning (29 mkts) | Weekly | Released Friday, data as of Tuesday |
ISM PMI data is updated manually each month on release day. All other series refresh automatically as part of the weekend pipeline.
Methodology
The regime bar logic is rule-based and deterministic — not AI-driven. Each of the three regime dimensions is calculated from a weighted average of Z-scores across the relevant metrics. A Z-score above +0.5 signals expansion/risk-on/strengthening; below -0.5 signals contraction/risk-off/weakening; within ±0.5 is neutral.
Z-scores are calculated over a rolling 3-year window, normalising each metric to its own recent history. This allows meaningful comparison across unrelated series — a yield curve spread and an equity index assessed on the same scale.
Design Principles
No affiliations, no sponsored content, no pressure to generate signals. Analysis driven by data integrity.
Every metric includes its source, update frequency, and a plain-language explanation of what it measures and what direction means.
The dashboard describes current conditions — it does not forecast. Regime assessment is observational, not directional.
Built for informed readers, not just quants. Every Z-score is translated into plain English. Every chart includes context for non-specialists.