per-stock model-accuracy decomposition

2477.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	0.3699	0.2717 – 0.4628	12
Hit rate · SHORT	0	0 – 0.1818	9
Avg return · LONG (bps)	-60.9	-97.3 – -27.8	12
Avg return · SHORT (bps)	-63.3	-462.8 – -57.2	9
Selection rate · LONG	0.0008	0.0006 – 0.0010	12
Selection rate · SHORT	0	0 – 0.0001	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

-3.8611

short

-3.7921

total

-7.6532

appearances 772608 · LONG 557 · SHORT 164

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