per-stock model-accuracy decomposition

7084.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	0.5592	0.4159 – 0.6412	12
Hit rate · SHORT	0.9674	0.9556 – 0.9854	12
Avg return · LONG (bps)	-37.1	-61.6 – 23.3	12
Avg return · SHORT (bps)	106.5	50.3 – 239.0	12
Selection rate · LONG	0.0366	0.0257 – 0.0404	12
Selection rate · SHORT	0.0054	0.0032 – 0.0111	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

-7.0736

short

8.5731

total

1.4995

appearances 89856 · LONG 3099 · SHORT 616

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