per-stock model-accuracy decomposition

9610.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	0.2349	0.1984 – 0.2639	12
Hit rate · SHORT	0.6886	0.6522 – 0.7293	12
Avg return · LONG (bps)	-279.5	-327.2 – -167.0	12
Avg return · SHORT (bps)	495.1	301.0 – 532.2	12
Selection rate · LONG	0.0357	0.0316 – 0.0392	12
Selection rate · SHORT	0.0375	0.0338 – 0.0413	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

-229.5

short

498.3

total

268.8

appearances 285696 · LONG 10146 · SHORT 10890

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