# プロパスト (3236.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**: プロパスト
- **Sector**: 不動産
- **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/3236.T
- **JSON**: https://qbuntu.ai/v1/stocks/3236.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.5784 — above a coin flip — still not a buy signal.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.5784 | 0.4803 | 0.6201 | 12 |
| hit_rate_short | 0.5000 | 0 | 1 | 6 |
| avg_return_long_bps | 104.1 | 77.5 | 144.8 | 12 |
| avg_return_short_bps | 8.3024 | -111.5 | 97.5 | 6 |
| selection_rate_long | 0.0011 | 0.0007 | 0.0012 | 12 |
| selection_rate_short | 0 | 0 | 0.0001 | 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: 4.1951
- short: 0.1308
- total: 4.3259
- appearances: LONG 470 / SHORT 31 of 444672

---

Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 3236.T per-stock accuracy. https://qbuntu.ai/stocks/3236.T