per-stock model-accuracy decomposition

3607.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	0.5873	0.5107 – 0.6570	12
Hit rate · SHORT	0.5727	0.3298 – 0.6969	12
Avg return · LONG (bps)	-32.9	-87.8 – 59.0	12
Avg return · SHORT (bps)	204.2	126.0 – 257.1	12
Selection rate · LONG	0.0112	0.0090 – 0.0150	12
Selection rate · SHORT	0.0069	0.0053 – 0.0099	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

-3.4008

short

29.4

total

26.0

appearances 192768 · LONG 2312 · SHORT 1570

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