per-stock model-accuracy decomposition

4479.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	0.3877	0.3589 – 0.4162	12
Hit rate · SHORT	0.5683	0.4864 – 0.6046	12
Avg return · LONG (bps)	-55.0	-93.8 – -12.5	12
Avg return · SHORT (bps)	158.0	114.0 – 200.0	12
Selection rate · LONG	0.0075	0.0066 – 0.0088	12
Selection rate · SHORT	0.0059	0.0051 – 0.0067	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

-27.9

short

53.3

total

25.4

appearances 605952 · LONG 4807 · SHORT 3595

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