per-stock model-accuracy decomposition

6096.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	0.2544	0.1599 – 0.3077	12
Hit rate · SHORT	0.8333	0.5833 – 1	11
Avg return · LONG (bps)	-142.2	-177.1 – -115.5	12
Avg return · SHORT (bps)	93.5	10.7 – 350.5	11
Selection rate · LONG	0.0079	0.0066 – 0.0096	12
Selection rate · SHORT	0.0004	0.0001 – 0.0006	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

-38.8

short

1.0288

total

-37.8

appearances 336384 · LONG 2913 · SHORT 150

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