per-stock model-accuracy decomposition

6832.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	0.3500	0.2718 – 0.4604	12
Hit rate · SHORT	0.4842	0.0395 – 0.6875	12
Avg return · LONG (bps)	-110.8	-200.2 – -53.7	12
Avg return · SHORT (bps)	-49.2	-118.1 – 65.7	12
Selection rate · LONG	0.0019	0.0016 – 0.0022	12
Selection rate · SHORT	0.0003	0.0002 – 0.0004	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

-7.8625

short

-1.0086

total

-8.8711

appearances 386304 · LONG 737 · SHORT 123

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