per-stock model-accuracy decomposition

4075.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	0.3353	0.3222 – 0.3795	12
Hit rate · SHORT	0.5348	0.4454 – 0.5836	12
Avg return · LONG (bps)	-128.3	-164.7 – -66.3	12
Avg return · SHORT (bps)	-104.0	-163.2 – -8.3513	12
Selection rate · LONG	0.0217	0.0194 – 0.0239	12
Selection rate · SHORT	0.0355	0.0347 – 0.0401	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

-45.8

short

-67.3

total

-113.1

appearances 185856 · LONG 3972 · SHORT 6796

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