per-stock model-accuracy decomposition

3192.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	0.3545	0.3232 – 0.3907	12
Hit rate · SHORT	0.6453	0.5707 – 0.6961	12
Avg return · LONG (bps)	177.0	96.8 – 306.6	12
Avg return · SHORT (bps)	83.6	-29.4 – 198.8	12
Selection rate · LONG	0.0217	0.0186 – 0.0269	12
Selection rate · SHORT	0.0207	0.0172 – 0.0254	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

44.8

short

12.1

total

56.9

appearances 122880 · LONG 2691 · SHORT 2584

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