Tudor Black Bay 58 M79030N
Tudor·Ref. M79030N·Stainless Steel

Tudor Black Bay 58 M79030N

$3,437Range: $2,931 – $3,848mediumUpdated Mar 19, 2026 · Model v1.0

Executive Summary

SignalHold

Fair Value

$3,437

30-Day

—

90-Day

—

Confidence

53/100

Analysis

Algorithmic signal based on public market data. Not financial advice.

Fair Value

$3,437

15 comps

Ask Median

$3,437

15 listings

Sold Median

—

0 results

Confidence

Medium

53/100

Market Trend

—

First snapshot

Momentum

Awaiting data

Market Intelligence

Market Liquidity

Low

15 comps across 1 source

Last Observation

Mar 19, 2026

Most recent data point

Data Sources

Chrono24
15 listings15

Valuation History

Auction Results

No auction results available yet.

Marketplace Listings

SourceTitleAskCondition
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$3,949Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$3,078Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$2,961Unknown
Chrono24Tudor Black Bay Fifty-Eight 58 M79030N-0001$3,747Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0003 Fitted with Tudor M79030N-0001 bracelet$3,476Unknown
Chrono24Tudor Black Bay Fifty-Eight Hello For sale: Tudor Black Bay Fifty-Eight M79030N-0001$3,961Unknown
Chrono24Tudor Black Bay Fifty-Eight 58 M79030n-0002$3,437Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$2,877Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0002$2,851Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N$3,350Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001 2020 Steel Good$2,900Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$2,812Unknown
Chrono24Tudor Black Bay Fifty-Eight 2025 Black Bay 58 39mm Stainless Steel M79030N-0001$4,095Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$4,210Unknown
Chrono24Tudor Black Bay Fifty-Eight M79030N-0001$3,500Unknown

How this value is calculated

The LuxMetrix fair value blends two independent signals: what sellers are asking on marketplaces (weighted 40%) and what buyers have actually paid at auction (weighted 60%). Outliers are removed using IQR filtering, and a confidence score reflects data quality.

Read the full methodology →