per-stock model-accuracy decomposition

3187.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	0.5416	0.4177 – 0.6513	12
Hit rate · SHORT	0.3173	0.1264 – 0.4487	12
Avg return · LONG (bps)	21.3	-6.0780 – 40.2	12
Avg return · SHORT (bps)	-47.5	-86.7 – 99.9	12
Selection rate · LONG	0.0060	0.0046 – 0.0068	12
Selection rate · SHORT	0.0007	0.0005 – 0.0010	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

2.9194

short

0.2787

total

3.1980

appearances 453120 · LONG 2603 · SHORT 360

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