# アピリッツ (4174.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**: アピリッツ
- **Sector**: 情報通信・サービスその他
- **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/4174.T
- **JSON**: https://qbuntu.ai/v1/stocks/4174.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.2249 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.2249 | 0.1475 | 0.2917 | 12 |
| hit_rate_short | 0.7124 | 0.6784 | 0.7556 | 12 |
| avg_return_long_bps | -132.7 | -202.6 | -49.5 | 12 |
| avg_return_short_bps | 211.9 | 173.3 | 248.0 | 12 |
| selection_rate_long | 0.0106 | 0.0088 | 0.0127 | 12 |
| selection_rate_short | 0.0067 | 0.0051 | 0.0077 | 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: -37.0
- short: 41.7
- total: 4.6737
- appearances: LONG 3313 / SHORT 1973 of 299520

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 4174.T per-stock accuracy. https://qbuntu.ai/stocks/4174.T