# 不二製油 (2607.T) — per-stock model accuracy

> 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.

- **Name**: 不二製油
- **Sector**: 食品
- **Universe**: jp-listed
- **Decomposes**: `ml-factor-lgbm-9f-jp-growth` (strategy verdict: marginal) — https://qbuntu.ai/strategies/ml-factor-lgbm-9f-jp-growth
- **Computed asof**: 2026-10-01T02:33:09
- **HTML**: https://qbuntu.ai/stocks/2607.T
- **JSON**: https://qbuntu.ai/v1/stocks/2607.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.0909 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.0909 | 0 | 0.1714 | 11 |
| hit_rate_short (thin n) | 1 | 1 | 1 | 4 |
| avg_return_long_bps | -233.8 | -309.9 | -136.5 | 11 |
| avg_return_short_bps (thin n) | 103.1 | 79.2 | 105.4 | 4 |
| selection_rate_long | 0.0001 | 0.0001 | 0.0001 | 12 |
| selection_rate_short | 0 | 0 | 0 | 12 |

Hit rate ≈ 0.5 means the model's picks on this stock were near coin-flip. Returns in bps/trade. Metrics with n = 0 are omitted; n < 5 is a thin sample.

## PnL contribution

- long: -2.2418
- short: 0.0586
- total: -2.1831
- appearances: LONG 91 / SHORT 10 of 871680

---

Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 2607.T per-stock accuracy. https://qbuntu.ai/stocks/2607.T