per-stock model-accuracy decomposition

7096.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	0.3828	0.1941 – 0.4960	12
Hit rate · SHORT	0.6468	0.5422 – 0.7412	12
Avg return · LONG (bps)	-81.9	-170.5 – 71.8	12
Avg return · SHORT (bps)	126.5	55.9 – 170.3	12
Selection rate · LONG	0.0032	0.0021 – 0.0042	12
Selection rate · SHORT	0.0013	0.0011 – 0.0016	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

-11.8

short

6.5942

total

-5.2491

appearances 394752 · LONG 1324 · SHORT 593

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