# サイバートラスト (4498.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**: サイバートラスト
- **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/4498.T
- **JSON**: https://qbuntu.ai/v1/stocks/4498.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.4763 — near a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.4763 | 0.3807 | 0.5380 | 12 |
| hit_rate_short | 0.5409 | 0.4354 | 0.6092 | 12 |
| avg_return_long_bps | 42.1 | -39.8 | 106.3 | 12 |
| avg_return_short_bps | -148.3 | -200.5 | -64.9 | 12 |
| selection_rate_long | 0.0033 | 0.0026 | 0.0035 | 12 |
| selection_rate_short | 0.0030 | 0.0022 | 0.0037 | 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: 5.6326
- short: -41.6
- total: -36.0
- appearances: LONG 2534 / SHORT 2385 of 777216

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 4498.T per-stock accuracy. https://qbuntu.ai/stocks/4498.T