per-stock model-accuracy decomposition

6907.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	0.5347	0.3286 – 0.6693	12
Hit rate · SHORT	0.0310	0 – 0.0641	12
Avg return · LONG (bps)	-8.3494	-137.4 – 138.1	12
Avg return · SHORT (bps)	-456.5	-524.3 – -348.4	12
Selection rate · LONG	0.0098	0.0075 – 0.0111	12
Selection rate · SHORT	0.0054	0.0047 – 0.0066	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

-2.0933

short

-30.2

total

-32.3

appearances 130560 · LONG 1227 · SHORT 676

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