per-stock model-accuracy decomposition

6246.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	0.5500	0.3583 – 0.6942	12
Hit rate · SHORT	0.5000	0 – 0.7917	11
Avg return · LONG (bps)	-44.8	-123.2 – 24.5	12
Avg return · SHORT (bps)	-27.1	-218.5 – 84.1	11
Selection rate · LONG	0.0005	0.0004 – 0.0019	12
Selection rate · SHORT	0.0006	0.0002 – 0.0014	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

-2.6616

short

-0.9326

total

-3.5942

appearances 220416 · LONG 290 · SHORT 262

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