per-stock model-accuracy decomposition

4572.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	0.4888	0.4549 – 0.5434	12
Hit rate · SHORT	0.5549	0.5274 – 0.5836	12
Avg return · LONG (bps)	28.3	-121.6 – 116.0	12
Avg return · SHORT (bps)	101.3	51.1 – 148.0	12
Selection rate · LONG	0.0080	0.0072 – 0.0095	12
Selection rate · SHORT	0.0111	0.0107 – 0.0118	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

2.6655

short

73.9

total

76.6

appearances 671232 · LONG 5920 · SHORT 7590

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