per-stock model-accuracy decomposition

4124.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	0.6046	0.3603 – 0.6857	12
Hit rate · SHORT	0.4576	0.4014 – 0.5251	12
Avg return · LONG (bps)	-5.4528	-14.4 – 13.0	12
Avg return · SHORT (bps)	209.1	120.4 – 381.8	12
Selection rate · LONG	0.0106	0.0078 – 0.0140	12
Selection rate · SHORT	0.0196	0.0132 – 0.0219	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

-0.9267

short

41.5

total

40.5

appearances 96000 · LONG 1487 · SHORT 1830

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