per-stock model-accuracy decomposition

7357.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	0.3686	0.3570 – 0.4059	12
Hit rate · SHORT	0.6452	0.5991 – 0.6804	12
Avg return · LONG (bps)	-101.1	-173.5 – -85.4	12
Avg return · SHORT (bps)	372.0	302.5 – 433.7	12
Selection rate · LONG	0.0311	0.0263 – 0.0440	12
Selection rate · SHORT	0.0417	0.0365 – 0.0515	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

-71.6

short

238.4

total

166.8

appearances 148224 · LONG 5137 · SHORT 6472

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