per-stock model-accuracy decomposition

5537.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	0.5271	0.4765 – 0.5978	12
Hit rate · SHORT	0.4548	0.3410 – 0.5183	12
Avg return · LONG (bps)	72.1	-7.9628 – 143.3	12
Avg return · SHORT (bps)	-179.8	-436.4 – 0.0611	12
Selection rate · LONG	0.0273	0.0201 – 0.0303	12
Selection rate · SHORT	0.0323	0.0291 – 0.0482	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

4.7762

short

-66.3

total

-61.5

appearances 89088 · LONG 2327 · SHORT 3263

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