per-stock model-accuracy decomposition

4883.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	0.3306	0.3094 – 0.3356	12
Hit rate · SHORT	0.7197	0.7112 – 0.7442	12
Avg return · LONG (bps)	-110.5	-162.6 – -67.2	12
Avg return · SHORT (bps)	395.5	346.7 – 411.5	12
Selection rate · LONG	0.0198	0.0183 – 0.0212	12
Selection rate · SHORT	0.0207	0.0194 – 0.0225	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

-144.2

short

576.6

total

432.4

appearances 750336 · LONG 15029 · SHORT 15295

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