per-stock model-accuracy decomposition

6993.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	0.3875	0.3535 – 0.4350	12
Hit rate · SHORT	0.4812	0.4442 – 0.5177	12
Avg return · LONG (bps)	33.0	-16.0 – 107.2	12
Avg return · SHORT (bps)	-32.3	-118.4 – 16.7	12
Selection rate · LONG	0.0144	0.0119 – 0.0158	12
Selection rate · SHORT	0.0233	0.0163 – 0.0255	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

50.9

short

-103.5

total

-52.6

appearances 772608 · LONG 10704 · SHORT 17300

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