per-stock model-accuracy decomposition

6838.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	0.5009	0.3321 – 0.6437	12
Hit rate · SHORT	0.8154	0.7690 – 0.8693	12
Avg return · LONG (bps)	-36.3	-93.7 – 84.1	12
Avg return · SHORT (bps)	278.8	239.9 – 302.7	12
Selection rate · LONG	0.0030	0.0024 – 0.0032	12
Selection rate · SHORT	0.0101	0.0084 – 0.0121	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

-1.5974

short

84.0

total

82.4

appearances 308736 · LONG 857 · SHORT 3105

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