ML Market Map — Taiwan Equity Clusters for 2026-07-16

A daily unsupervised machine-learning read of the Taiwan Equity market: 2,106 stocks grouped into 6 consensus clusters (KMeans + Gaussian-mixture + hierarchical, over robust-scaled PCA features) for 2026-07-16. Descriptive, not predictive — there is no buy or sell signal. Research, not investment advice.

Markets: US Equity · China A-Share · Japan Equity · Hong Kong Equity · Taiwan Equity · Korea Equity · UK Equity · India Equity

Today's clusters

low volatility (1y) · low idio vol · low volatility (3m) — 625 names; mostly Consumer Cyclical; drivers: rv 252 (−0.60), residual vol 252 d (−0.59), rv 63 (−0.51)
high turnover · high beta · strong 1y momentum — 465 names; mostly Technology; drivers: r2 252 d (+0.76), turnover to mcap (+0.66), beta 252 d (+0.62)
falling earnings · high leverage · expensive (low E/P) — 355 names; mostly Technology; drivers: ni growth (−1.53), leverage debt to mcap (+1.53), cfo growth (−0.90)
low margin · expensive (low E/P) · high volatility (3m) — 337 names; mostly Technology; drivers: profit margin (−1.79), val ep z (−1.18), vol of vol 63 (+1.17)
high turnover · strong 1y momentum · rising (3m) — 269 names; mostly Technology; drivers: turnover to mcap (+3.33), ret 252d (+3.16), ret 126d (+2.76)
high cash yield · lightly traded — 55 names; mostly Technology; drivers: cfo growth (+4.82), vol of vol 63 (+0.54), val cfop z (+0.49)

Machine-readable data (free, read-only JSON)

The full map, per-ticker cluster assignments with confidence and anomaly scores, and PCA structure are published as open JSON for automated and AI-analyst consumption:

/api/ml/latest?market=tw — clusters, names, sector mix, representative tickers, top features
/api/ml/tickers?market=tw — per-ticker cluster, confidence, anomaly score, day-over-day migration, tenure
/api/ml/pca?market=tw — PCA components, explained variance, feature loadings

Descriptive market-structure research only. Unsupervised clustering finds structure, not direction; a tight cluster or an anomaly is a starting point for research, never a trade signal.