See the appreciation case before you buy.

Good Investment compares a home with local peers and measures how far it is positioned to appreciate above or below market, in points per year. Pair that with your market outlook to see an estimated total appreciation pace.

What you get back

Property Hub

1429 Filbert St · Oakland, CA

High confidence

Property appreciation intelligence

Neighborhood basis

Top tier of comparable homes in Oakland, CA

84th percentile
Bottom0-20
Lower20-40
Mid40-60
Upper60-80
Top80-100
Below marketMedianAbove market

Market edge

+1.9 pts/yr

vs the average Oakland, CA home

Estimated appreciation

6.1% /yr

market 4.2% + edge +1.9

Adjustable to your market view

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Join 100+ buyers, agents, and analysts so far
Within-market rank
Market edge in pts/yr
Estimated appreciation pace
Confidence + supporting evidence

How Good Investment Works

Score every property within its market, translate the score into appreciation values, and keep final judgment with your team.

See the full walkthrough

Summary

Key drivers, opportunities, and risks

View CMA

Property appreciation intelligence

County basis

Upper tier of comparable homes in Colorado Springs CO

Ahead of most comparable homes in the local market.

77th percentile
Bottom0-20
Lower20-40
Mid40-60
Upper60-80
Top80-100
Below marketMedianAbove market

What the rank means in return terms

Measured performance

Estimated appreciation

10.2%/yr

Market view + measured edge

Measured market edge

+0.5%/yr

vs the average Colorado Springs CO home

Market view

9.7%/yr

Market edge

+0.5%/yr

Est. pace

10.2%/yr

Local market
9.7%
This home
−5%020.1%

In historical tests, homes ranked here performed close to their own market’s average pace. The score’s power is at the extremes — for a home in this range, the price you pay and the cash-flow story matter more than the rank. Local market pace is seeded from recent ZIP-level history.

Measured in historical tests; the edge varies with market conditions and by market. Model-generated estimate. Not investment advice.

Neighborhood risk profile

Measured historyCounty history basis

Volatility (15y)

5.8pp

full history 6.9pp

Beta vs U.S. (15y)

0.89

full history 0.95

Max drawdown

−31.6%

worst year −21.0%

5y vs 15y pace

+3.1pp

8.8% vs 5.7%/yr

Measured from this area’s own history against a U.S. state-average index. Betas shift with regimes — read the 15-year and full-history figures together. The recent 5-year pace runs well ahead of the 15-year — recent-cycle heat, not a structural trend.

Price indexes smooth single-home volatility, individual home volatility will vary. Model-generated estimate. Not investment advice.

The Property Hub: rank, measured market edge, estimated appreciation pace, and score basis in one read. See how it's built →

  1. STEP 01

    Assemble the Local Evidence

    Pull public property, sale, rental, market, and neighborhood history into one view instead of sweeping across disconnected sources.

  2. STEP 02

    Rank the Property Within Its Market

    Score the address against comparable homes in its own market, then attach confidence so weak or thin signals route to human review.

  3. STEP 03

    Translate the Score Into Appreciation Values

    See the measured market edge in points per year, then add it to your adjustable market view for an estimated appreciation pace. Use those values with the drivers and neighborhood context in your diligence.

Why it works

A source of truth on how residential properties appreciate.

We score a property against the alternatives in its own market, then translate the score into a measured appreciation edge in points per year and an estimated pace built on the market view. Same engine for the buyer sizing one home or the desk sizing a thousand.

Beyond comps

Comps tell you what a property is worth today. We score it against the alternatives in its own market, then translate that rank into a measured market edge and an estimated appreciation pace.

Confidence on every row

Each rank ships with a confidence tier. Thin-coverage properties route to human review rather than pretending the model knows more than it does.

Institutional rigor. One-property clarity.

Built for the underwriters who break models for a living.

The same scoring and market-edge engine that institutional teams put through diligence is what surfaces when an individual buyer types an address. One signal, one source of truth, one confidence rail — not a consumer toy with a separate enterprise pitch behind it.

Same-block

precision

Neighborhood comp sets, not ZIP-wide averages — the layer most signals miss.

Every row

confidence-flagged

Lower-confidence properties route to human review instead of false certainty.

Score + edge

appreciation values

Within-market rank, measured edge in points per year, and an estimated pace built on the market view.

Every score comes with its measured market edge, estimated appreciation pace, confidence tier, and evidence, so you know what the values mean and how much weight they deserve.

Start with a property

First appreciation screen free · No credit card required

Learn more about our methodology →

Customer journeys

From individual investor to institutional.

One signal. One source of truth. Used to size one home or one thousand — with the same scores, measured market edges, estimated appreciation paces, and confidence rail.

1Individual investor

Size one home

Buyers and investors comparing the properties they’re actually considering. Type an address, get a within-market score, measured edge, estimated appreciation pace, drivers, and confidence.

Start with a property
2Realtor

Bring it to a client

Agents who need a defensible appreciation read alongside their CMA. Give a client the score, measured market edge, estimated pace, and evidence in minutes.

Start with a property
3Institutional

Size one thousand

Lenders, funds, and REIT teams sizing portfolios or screening watchlists. Same engine at portfolio scale; sales-led engagement.

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