per-stock model-accuracy decomposition

6327.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	0.4056	0.3445 – 0.4473	12
Hit rate · SHORT	0.6603	0.5341 – 0.7607	12
Avg return · LONG (bps)	-86.0	-129.8 – -25.8	12
Avg return · SHORT (bps)	73.6	-2.3403 – 139.7	12
Selection rate · LONG	0.0034	0.0021 – 0.0048	12
Selection rate · SHORT	0.0012	0.0008 – 0.0024	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

-13.0

short

3.7710

total

-9.2373

appearances 370944 · LONG 1305 · SHORT 639

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