per-stock model-accuracy decomposition

5597.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	0.3470	0.3320 – 0.3911	12
Hit rate · SHORT	0.6035	0.5734 – 0.6290	12
Avg return · LONG (bps)	-58.2	-89.8 – 11.0	12
Avg return · SHORT (bps)	157.8	111.5 – 197.6	12
Selection rate · LONG	0.0240	0.0226 – 0.0267	12
Selection rate · SHORT	0.0286	0.0262 – 0.0350	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

-41.5

short

196.3

total

154.8

appearances 395712 · LONG 10020 · SHORT 12449

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