per-stock model-accuracy decomposition

9162.T

computed asof 2026-08-07T09:15:52

read this first — not a buy signal

Model predictability decomposition: measures how accurately the ml-factor-lgbm-9f-jp-growth model family predicts this stock's returns within the jp-listed universe. High hit_rate_long does NOT mean 'good stock to buy' -- it means 'the model historically predicted this stock well when selecting it LONG'. This is a property of model-stock fit, not intrinsic stock quality.

Decomposes ml-factor-lgbm-9f-jp-growth. Standalone walk-forward run of the same LightGBM 9-factor family on the jp-listed universe (~4,100 tickers); the referenced record's verdict applies to the jp-growth universe only.

Accuracy (median across grid)

metric	median	p25 – p75	n
Hit rate · LONG	0.5482	0.3582 – 0.6030	12
Hit rate · SHORT	0.5158	0.3903 – 0.6299	12
Avg return · LONG (bps)	-36.1	-90.6 – 38.3	12
Avg return · SHORT (bps)	80.9	-77.6 – 175.8	12
Selection rate · LONG	0.0066	0.0037 – 0.0103	12
Selection rate · SHORT	0.0052	0.0041 – 0.0073	12

Hit rate ≈ 0.5 means the model's picks on this stock were near coin-flip. Returns in bps per trade (1 bps = 0.01%).

PnL contribution

long

-4.3590

short

5.0021

total

0.6431

appearances 219840 · LONG 1666 · SHORT 1364

Research, not investment advice. Metrics describe model–stock fit, not the stock's merit.