per-stock model-accuracy decomposition

9127.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	0.4380	0.2710 – 0.6094	12
Hit rate · SHORT	0.8410	0.5568 – 1	10
Avg return · LONG (bps)	48.4	-145.4 – 193.6	12
Avg return · SHORT (bps)	295.1	205.4 – 365.2	10
Selection rate · LONG	0.0032	0.0026 – 0.0040	12
Selection rate · SHORT	0.0003	0 – 0.0007	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

5.1337

short

3.9752

total

9.1089

appearances 344064 · LONG 1121 · SHORT 186

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