per-stock model-accuracy decomposition

7359.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	0.3176	0.2912 – 0.3430	12
Hit rate · SHORT	0.6398	0.5811 – 0.6552	12
Avg return · LONG (bps)	-218.4	-240.6 – -156.7	12
Avg return · SHORT (bps)	132.9	111.1 – 175.9	12
Selection rate · LONG	0.0136	0.0127 – 0.0155	12
Selection rate · SHORT	0.0220	0.0210 – 0.0241	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

-186.4

short

191.6

total

5.2346

appearances 610560 · LONG 8485 · SHORT 13690

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