per-stock model-accuracy decomposition

5031.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	0.2258	0.2063 – 0.2900	12
Hit rate · SHORT	0.5522	0.4863 – 0.5880	12
Avg return · LONG (bps)	-197.0	-228.1 – -168.9	12
Avg return · SHORT (bps)	114.7	61.1 – 137.8	12
Selection rate · LONG	0.0175	0.0161 – 0.0208	12
Selection rate · SHORT	0.0150	0.0138 – 0.0165	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

-122.0

short

49.8

total

-72.2

appearances 335808 · LONG 6024 · SHORT 4916

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