per-stock model-accuracy decomposition

3422.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	0.8042	0.4803 – 0.8961	12
Hit rate · SHORT	0.1163	0.0147 – 0.3175	11
Avg return · LONG (bps)	283.3	119.4 – 429.8	12
Avg return · SHORT (bps)	-406.8	-499.4 – -222.4	11
Selection rate · LONG	0.0080	0.0041 – 0.0093	12
Selection rate · SHORT	0.0074	0.0054 – 0.0154	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

6.5424

short

-10.7

total

-4.1190

appearances 26880 · LONG 196 · SHORT 276

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