Composite score
Think of the score as a count of how many warning lights are on and how bright they are. A higher score means more families are flashing risk at the same time.
How To Read The Dashboard
Once you know the terms, the next step is learning the workflow.
This page is about reading signals together. It assumes you know the basic definitions and now want to turn the dashboard into a practical habit rather than a wall of metrics.
The key idea is simple: one warning light rarely decides the story. The message becomes stronger when several families begin to agree.
Start with the composite score, then ask what is driving itEvery family page answers a different macro questionSeparate data lag from dashboard lagUse the charts to compare periods, not to hunt for one magic dayThe strongest message comes from agreement across familiesDo not ask the dashboard to do a job it was never built to do
Overview first
Start with the composite score, then ask what is driving it
The overview is the front door. Its job is not to settle every question. It is there to tell you whether the backdrop looks calm, watchful, or stretched.
Key drivers
The driver cards tell you which families are making the score rise. That is your cue to open the relevant family page rather than trying to infer everything from one number.
What a beginner should do first
Read the score, scan the freshness banner, identify the top one or two drivers, and only then move into the family pages.
Family pages
Every family page answers a different macro question
Family pages are not six versions of the same chart. Each one is supposed to answer a different question about fragility in the system.
Read the latest number in context
The latest value matters, but its label and threshold band matter more. The dashboard is trying to translate raw market data into a readable risk context.
Use the threshold ladder
Thresholds help answer the question 'Is this calm, watchful, or stretched for this metric?' without asking you to memorize raw values from history.
Open source and methodology when needed
If you do not trust what a metric means, open the source notes and methodology. The product should be explainable, not mysterious.
Freshness and dates
Separate data lag from dashboard lag
A monthly or quarterly series can be perfectly healthy even when its latest observation is older than today's date. What matters first is whether the dashboard checked the source on schedule.
Observation date
This is the date of the latest available data point from the source itself. Some good data only updates monthly or quarterly.
Refresh recency
Freshness is about whether the dashboard checked and updated the source recently enough for that source's cadence.
What stale should mean
Stale should point to the refresh pipeline falling behind, not simply to a slow-moving macro series behaving like a slow-moving macro series.
Charts
Use the charts to compare periods, not to hunt for one magic day
The charts work best when you ask whether a signal is trending, accelerating, or stabilizing. They work worst when you ask them to predict the exact turning point.
Start wide, then zoom in
Use the larger range first to learn the historical context. Then zoom into the part of the cycle you actually want to study.
Read the axes every time
Always confirm what the x-axis and y-axis mean before reacting. Time-series charts can look dramatic even when the underlying scale is modest.
Look for direction, not just level
A fast move can matter as much as the absolute level. Credit spreads widening quickly or breadth narrowing quickly can be as informative as an already-extreme reading.
Signal combinations
The strongest message comes from agreement across families
A single red flag can stay isolated. A cluster of red flags is more meaningful because it suggests the system is losing support from several directions at once.
If valuations are high and liquidity is tightening
The market is expensive and the fuel supporting it is fading. That does not force a break, but it narrows the margin for error.
If breadth is narrow and credit spreads are widening
Only a few leaders are doing the work, and lenders are becoming less comfortable. That is a more fragile setup than either signal alone.
If the curve is inverted while leadership stays euphoric
The bond market is warning about slower growth while the stock market is still rewarding optimism. That gap is worth respecting, not dismissing.
Common mistakes
Do not ask the dashboard to do a job it was never built to do
This product is built to show whether fragility is building. It is not a one-number crash timer or a substitute for judgment.
Mistake 1: treating one metric as a prophecy
No single family settles the story. The signal becomes stronger when several families line up.
Mistake 2: ignoring the slower families
Valuation and concentration may move slowly, but they still matter because they shape vulnerability before the break.
Mistake 3: confusing explanation with certainty
The dashboard should make the market easier to understand, not make you feel falsely certain about exact dates.