per-stock model-accuracy decomposition

1965.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	0.5848	0.4861 – 0.6128	12
Hit rate · SHORT	0.2419	0.1670 – 0.3092	12
Avg return · LONG (bps)	40.3	-6.2647 – 46.7	12
Avg return · SHORT (bps)	-167.1	-254.0 – -151.0	12
Selection rate · LONG	0.0016	0.0008 – 0.0022	12
Selection rate · SHORT	0.0070	0.0064 – 0.0073	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

1.3550

short

-54.4

total

-53.0

appearances 405504 · LONG 644 · SHORT 2765

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