per-stock model-accuracy decomposition

8918.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	0.2577	0.2492 – 0.2700	12
Hit rate · SHORT	0.2258	0.2085 – 0.2508	12
Avg return · LONG (bps)	137.3	117.0 – 152.6	12
Avg return · SHORT (bps)	-77.2	-108.6 – -42.1	12
Selection rate · LONG	0.0644	0.0568 – 0.0718	12
Selection rate · SHORT	0.0307	0.0272 – 0.0335	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

669.6

short

-179.3

total

490.3

appearances 772608 · LONG 49312 · SHORT 22196

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