per-stock model-accuracy decomposition

4447.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	0.2623	0.1202 – 0.4782	12
Hit rate · SHORT	0.3333	0.1667 – 1	9
Avg return · LONG (bps)	29.5	-106.6 – 138.8	12
Avg return · SHORT (bps)	-65.4	-115.8 – 311.4	9
Selection rate · LONG	0.0082	0.0064 – 0.0100	12
Selection rate · SHORT	0.0004	0.0002 – 0.0005	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

3.3453

short

0.3835

total

3.7288

appearances 113088 · LONG 943 · SHORT 46

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