per-stock model-accuracy decomposition

3286.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	0.5129	0.3849 – 0.5659	12
Hit rate · SHORT	0.0630	0.0475 – 0.1483	12
Avg return · LONG (bps)	-1.6729	-129.7 – 120.9	12
Avg return · SHORT (bps)	8.1943	-23.8 – 58.7	12
Selection rate · LONG	0.0239	0.0214 – 0.0306	12
Selection rate · SHORT	0.0115	0.0104 – 0.0166	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

-1.1316

short

4.5228

total

3.3912

appearances 72192 · LONG 1938 · SHORT 950

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