# ジーネクスト (4179.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**: ジーネクスト
- **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/4179.T
- **JSON**: https://qbuntu.ai/v1/stocks/4179.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.3303 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.3303 | 0.2904 | 0.3947 | 12 |
| hit_rate_short | 0.6551 | 0.6056 | 0.7127 | 12 |
| avg_return_long_bps | -219.1 | -377.3 | -155.5 | 12 |
| avg_return_short_bps | 182.3 | 144.8 | 255.2 | 12 |
| selection_rate_long | 0.0240 | 0.0212 | 0.0249 | 12 |
| selection_rate_short | 0.0320 | 0.0274 | 0.0327 | 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: -116.3
- short: 127.4
- total: 11.1
- appearances: LONG 5092 / SHORT 6413 of 220416

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 4179.T per-stock accuracy. https://qbuntu.ai/stocks/4179.T