Methodology · Transparent by design

How we measure the Hong Kong yacht market. And what we cannot know.

Most buyer-side advisory firms claim “proprietary data” without showing the work. We don’t. This page documents exactly what we track, how, and where our data ends — so you can judge the quality of an audit before you trust one.

01 · the inputs

What we track

The Hong Kong yacht market has no public registry of transaction prices. Unlike residential property — where Centaline and Midland publish sold-price data weekly — yacht transactions are private between broker and buyer. What public information exists is concentrated in listings, not transactions.

We focus on the data layer that does exist publicly, then extract signal from it.

Active HK listings
Tracked weekly across public broker platforms
Days on market (DOM)
Per-listing, from first-published to delisted
Price drop sequences
Every reduction logged with date and delta
Listing removal patterns
Sold-likely vs delisted-due-to-fatigue
Cross-platform duplicates
Same hull listed by multiple brokers
Vessel-class velocity
New-listings vs removed-listings by segment

Our approach is deliberately straightforward: we track HK listing behaviour systematically — asking prices, days on market, and price movements — and surface the patterns that matter to a buyer. We don’t claim algorithmic magic. The value isn’t a secret formula — it’s that nobody else in Hong Kong is doing this consistently, on the buyer’s side.

02 · the model

How we read the market

When we publish a Negotiation Delta or an Estimated Fair Market Value, that number is a model output, not a verified transaction price. It is our reasoned estimate of where a deal is likely to land — built from what a listing’s behaviour reveals over time. We’re transparent about that distinction because it changes how you should use the number: as a negotiating anchor, not a guarantee.

The signals we weigh

Time on market
The longer a vessel sits unsold, the more room a buyer typically has. A fresh listing in a moving segment leaves little; a listing that has lingered for a year points to a motivated seller.
Price-drop history
Each reduction — and how steep it is — tells us how the asking price was set and how far the seller has already moved on their own.
Segment velocity
Whether comparable hulls are turning over quickly or stagnating. A stagnant class shifts leverage toward the buyer.
Comparable listings
Similar vessels currently on the market, used to sanity-check whether an asking price is in line with the field or out on its own.
The output is always a range, never a single number. We translate these signals into an expected discount band off the asking price — wider when the picture is uncertain, tighter when it’s clear. That band is your starting point for negotiation, not a promise of the final price.
Where this model ends. Our estimates are modelled from observable market behaviour — asking prices, days on market, and price movements — not from a database of completed sale prices. We’re transparent about this: the Estimated Fair Market Value is a negotiation anchor, not a guaranteed outcome.
03 · the audit

What happens when you request an audit

When a buyer submits a listing URL through the Concierge form, the process is mechanical, not opaque:

  1. step.01

    Listing extraction

    We pull the published listing details — vessel make/model/year, asking price, listing broker, DOM since first appearance in our dataset, and price-drop history. If the listing is new to us, we backfill from broker-platform metadata.

  2. step.02

    Comparable-set construction

    We identify similar vessels in our HK dataset by length-class, age, engine type, and condition. We surface their DOM, price-drop sequences, and current status (active / sold-likely / delisted-fatigue).

  3. step.03

    Anomaly detection

    We check for duplicate hulls listed by multiple brokers (a signal of seller motivation), recent withdrawals and re-listings at higher prices (a tactic used to game DOM counters), and inconsistencies between sister-listings.

  4. step.04

    Model output

    We apply the delta model to produce an Estimated Fair Market Value range, an Expected Negotiation Delta, and a Resale Velocity forecast. All numbers are presented as ranges with confidence bands, not point estimates.

  5. step.05

    Op-Ex overlay

    We pair the valuation with a Total Cost of Ownership projection using current HK-market berthing, crew, fuel, insurance, and maintenance benchmarks. This is the number most first-time buyers underestimate.

  6. step.06

    Written deliverable

    You receive a written report within 24 hours. Findings, methodology references, confidence levels, and recommended negotiation anchors. The report is yours to use however you choose — including with a broker you’ve selected independently of us.

04 · the limits

What we cannot know

A transparent methodology page has to include the boundary conditions. Here is everything our data layer does not see:

Actual sold prices
No public registry exists in HK. We model, not measure.
Off-market vessels
Private sales between owners never enter our dataset.
Vessel condition
We rely on listing descriptions and your survey. Not a substitute for a marine surveyor.
Seller motivation
DOM hints at fatigue, but doesn’t reveal whether the seller is divorcing, relocating, or upgrading.
Mechanical history
Engine hours, service records, hull surveys — all require a marine surveyor we can introduce.
Berth availability
We track waitlists publicly; private berth assignments and unofficial transfers are opaque.

The honest framing is this: we close roughly 70% of the information asymmetry gap between buyer and seller. We do not close 100%. A buyer who uses our audit as one input alongside an independent surveyor and a buyer-aligned broker is making a significantly better-informed decision than one who relies on listing brokers alone. That is what we deliver.

05 · version control

When this page changes

Methodology evolves as datasets grow. We will publicly note material changes here — not silently revise the page. If our delta bands shift, our data sources change, or we add new signal layers (e.g., berthing-availability integration, marine-surveyor partnership data), we will date the change and explain it.

If you’ve based a purchase decision on a One Blue Anchor audit, you can refer back to this page to see the exact methodology version that produced your report.

Methodology version
v1.0 · May 2026
Dataset coverage
12 months of HK listings · weekly snapshots
Active listings tracked
[VERIFY ACTUAL NUMBER BEFORE PUBLISHING]
Next planned update
Q3 2026 · delta-band recalibration
Next Steps · Three Doors

You’ve read how we work. Now decide what you need.

Most visitors leave the methodology page with one of three questions. Pick yours.

Buyer-side only · HK$0 to buyers · Methodology v1.0 · May 2026

Decision Point

You’ve read the methodology. Now pick a path.

Two ways forward, depending on where you are in the process. Both are free. Both are buyer-side. Neither commits you to anything.

credential
Cyberport Alumni
turnaround
24hr Audit
commission
HK$0 to Buyers
No inventory. No seller representation. Buyer-side only.

How does One Blue Anchor track the Hong Kong yacht market: the short answer

One Blue Anchor tracks Hong Kong yacht market data by monitoring active listings weekly across public broker platforms, recording days on market, price drop sequences, listing removal patterns, cross-platform duplicates, and vessel-class velocity. The methodology focuses on observable listing behaviour rather than transaction prices, which are not publicly available in Hong Kong. Signals including time on market, price-drop history, segment velocity, and comparable listings are weighed to produce an Estimated Fair Market Value range that serves as a negotiating anchor, not a guaranteed outcome.

Frequently asked questions

How does One Blue Anchor track the Hong Kong yacht market?

One Blue Anchor tracks active Hong Kong listings weekly across public broker platforms, monitoring days on market per listing, every price reduction with date and delta, listing removal patterns, cross-platform duplicates where the same hull is listed by multiple brokers, and vessel-class velocity comparing new listings versus removed listings by segment.

What data cannot One Blue Anchor access in the Hong Kong yacht market?

One Blue Anchor cannot access actual sold prices because no public registry exists in Hong Kong, off-market vessels from private sales, vessel condition details beyond listing descriptions, seller motivation beyond what days on market suggests, mechanical history including engine hours and service records, or private berth assignments and unofficial transfers.

How does One Blue Anchor calculate Estimated Fair Market Value?

Estimated Fair Market Value is calculated by weighing time on market, price-drop history showing how steep each reduction is, segment velocity indicating whether comparable hulls are turning over quickly or stagnating, and comparable listings to check if asking price is in line with the field. The output is always a range, never a single number.

Market Brief · Monthly

HK Yacht Market Intelligence. One email per month.

The same intelligence we use internally — condensed for buyers. Estimated market values, berthing updates, Op-Ex benchmarks.

No spam No sales pitch Unsubscribe anytime