How to use this dashboard

Who this is for

• Investors and syndicators deciding how aggressive to be
• Operators who want a national backdrop before local research
• Lenders tracking rent pressure, supply, and stress at a glance

What the dashboard is telling you

The dashboard is designed to answer one main question:

Does the national apartment backdrop support taking more risk right now, or does it call for more caution?

It does that by combining twelve signals across rent, occupancy, supply, credit stress, and geography into a single regime read.

How to read the tiles

Each scored tile gives you two layers of information:

• Level: whether the metric currently passes its rule
• Direction: whether it improved or worsened versus the prior period, when that comparison exists

Read the value, subtitle, and border color together. The number by itself does not tell the full story.

No colored border — The stance could not be determined because there is missing data or no prior period for comparison. In that case, read the value and subtitle on their own.

What the pills mean

The pills under the banner are a simpler check than the tile borders.

Each pill represents one of the twelve signals.

• Check mark means the signal’s level passes its rule
• Dot means it does not

The pills do not show direction and do not reflect green, amber, or red stance. They are level only.

✓ · Examples of pill appearance on the dashboard.

How to read the playbook

The large card near the top is the playbook. It turns the signal count into an actionable regime.

It tells you:

• Headline: what kind of market the dashboard thinks you are in
• Bias: whether to lean constructive, neutral, or defensive
• Position sizing: how aggressive or restrained to be
• Preferred strategy: where to focus in the current environment
• What would change the view: the developments that could shift the regime

In practice, this is the quickest summary on the page.

How the regime is determined

The playbook is driven mainly by how many of the twelve signals are supportive.

As a rule of thumb:

• 0 to 3 supportive signals usually points to a stress regime
• 4 supportive signals usually points to a cautious regime
• 5 to 8 supportive signals usually points to a mixed regime
• 9 to 12 supportive signals usually points to a supportive regime

There is also an important override:

If concessions are rising and days on market remain above 40, the playbook forces a more defensive reading even if the count alone would look better. That is meant to catch demand softness early.

When the live playbook label and the rough count disagree, trust the live playbook.

A one-minute workflow

Use this sequence when you open the dashboard:

1. Start with X / 12 — This gives you the fastest read on the overall backdrop.
2. Read the playbook headline — This tells you how the dashboard interprets the signal mix.
3. Scan the pills — This shows which themes are currently passing their rules.
4. Scan tile border colors — This helps you spot which signals are aligned, mixed, or deteriorating.
5. Open important tiles — Check the subtitle, timestamp, and update cadence on any tile that matters for your current decision.
6. Read What would change the view — Use that section as your short forward watchlist for the next review.

Important metric notes

National occupancy

The National Occupancy Rate tile uses Apartment List’s national vacancy index and displays 100% minus vacancy as an occupancy-style read.

This is a market-level index, not a property-level census count. The tile is treated as supportive when national occupancy is above 93%. When the prior month is available, the border color also reflects whether occupancy improved or worsened month over month.

Sun Belt vs gateway spread

National averages can hide important geographic differences.

This tile compares average median rent for a small Sun Belt group and a small gateway group. It is a simple read on whether those groups are converging or pulling further apart.

Use it as a broad geography signal, not as a substitute for market-level underwriting.

2BR vs 1BR spread

This tile uses the current national summary to compare larger units versus smaller units. It is a tier-style proxy, not a true class breakdown.

It can still be useful as a quick read on rent spread behavior across unit sizes.

Capital markets pulse (HY spread)

This block shows FRED series BAMLH0A0HYM2 (ICE BofA US High Yield option-adjusted spread), updated with the daily FRED bundle. It is context only and is not included in the 12-signal score.

The tile border uses the same green / amber / red convention: tight spreads (easy credit) read as supportive for risk-on; wide spreads read as tight credit. Mid-range spreads are labeled as credit selective.

The 30d change line is in percentage points (pts) versus the spread level roughly 30 calendar days earlier (last observation on or before that date), not an extra percent layered on the headline spread.

Footer text DAILY · FRED · … is the API fetch timestamp for the FRED payload so the source and freshness are obvious.

Where the data comes from

The hosted dashboard pulls data server-side. In plain terms:

• Federal Reserve (FRED) feeds rates, multifamily delinquency, household income, bank CRE stress, high-yield OAS (capital markets pulse), and a supply proxy
• Apartment List feeds rent growth, vacancy, concessions, time on market, rent levels, and national summaries
• Google Trends feeds the weekly renewal proxy
• Optional cap rate input lets you supply your own benchmark for the cap-rate-spread tile

Example scenarios