# ラピーヌ (8143.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**: ラピーヌ
- **Sector**: 素材・化学
- **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/8143.T
- **JSON**: https://qbuntu.ai/v1/stocks/8143.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.3868 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.3868 | 0.3490 | 0.4607 | 12 |
| hit_rate_short | 0.7915 | 0.6964 | 0.8850 | 12 |
| avg_return_long_bps | 49.2 | -108.1 | 171.8 | 12 |
| avg_return_short_bps | 62.8 | 26.0 | 229.5 | 12 |
| selection_rate_long | 0.0288 | 0.0260 | 0.0362 | 12 |
| selection_rate_short | 0.0331 | 0.0281 | 0.0346 | 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: 11.9
- short: 44.3
- total: 56.2
- appearances: LONG 3020 / SHORT 2935 of 89856

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 8143.T per-stock accuracy. https://qbuntu.ai/stocks/8143.T