Issue 01 — April 2026

Quantitative intelligence for the secondary watch market

WristQuant applies rigorous quantitative analysis to the secondary market for watches — surfacing relative value signals, demand dynamics, and macro context that fundamental analysis alone cannot provide.

Issue 01 Key Findings

−0.18
Rolling correlation with luxury equities

Economically and practically indistinguishable from zero — the secondary watch market behaves as an independent asset class.

+3.6pp
Demand signal forward spread

Strong Demand references outperform Weak Demand by 3.6 percentage points at 6 months — the core RV model result.

+10.4%
WatchCharts Index TTM

The secondary market returned +10.4% over the trailing twelve months, against −9.6% for the Watch Equity Basket.

Full analytical transparency

Every chart, table, and conclusion in WristQuant is backed by downloadable data and reproducible Python code.

Interactive RV Dashboard

Sortable 30-reference table with RV Score, Signal, Z-Score, Peer Rank, and Momentum for every watch in the screen.

Macro Overlay Charts

WatchCharts Index vs Watch Equity Basket — visualising the structural decoupling between secondary watch prices and luxury equities.

Downloadable Data

Full price history CSVs, RV scores, equity basket data, and backtest results — everything needed to reproduce the work.

Python Source Code

The compute_rv_scores, build_charts, and backtest scripts rendered with syntax highlighting and inline documentation.

Methodology Documentation

Z-score formula, weighting rationale, peer groups, data sources, and limitations — full analytical transparency.

PDF Newsletter Archive

Every issue of WristQuant available for download, with issue metadata and cover summaries.

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