per-stock model-accuracy decomposition

6190.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	0.3728	0.3223 – 0.4451	12
Hit rate · SHORT	0.9504	0.9277 – 0.9706	12
Avg return · LONG (bps)	-188.3	-344.0 – -131.6	12
Avg return · SHORT (bps)	487.5	331.5 – 528.8	12
Selection rate · LONG	0.0232	0.0185 – 0.0284	12
Selection rate · SHORT	0.0095	0.0075 – 0.0111	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

-66.1

short

66.5

total

0.3461

appearances 148992 · LONG 3224 · SHORT 1496

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