# ＹＫＴ (2693.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**: ＹＫＴ
- **Sector**: 商社・卸売
- **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/2693.T
- **JSON**: https://qbuntu.ai/v1/stocks/2693.T
- **License**: CC-BY-4.0

## Accuracy (median across grid)

Median LONG hit rate is 0.0540 — below a coin flip.

| metric | median | p25 | p75 | n |
|---|---:|---:|---:|---:|
| hit_rate_long | 0.0540 | 0.0276 | 0.1175 | 12 |
| hit_rate_short | 0.2947 | 0.2304 | 0.4648 | 12 |
| avg_return_long_bps | -353.4 | -525.6 | -301.1 | 12 |
| avg_return_short_bps | -345.0 | -412.8 | -196.8 | 12 |
| selection_rate_long | 0.0100 | 0.0081 | 0.0137 | 12 |
| selection_rate_short | 0.0100 | 0.0077 | 0.0126 | 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: -68.3
- short: -47.2
- total: -115.5
- appearances: LONG 1726 / SHORT 1645 of 154368

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Research, not investment advice. These metrics describe model–stock fit, not the stock's merit.
Cite as: qbuntu (2026). 2693.T per-stock accuracy. https://qbuntu.ai/stocks/2693.T