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| 3 layers | CN¥ 143.91 |
| 4 layers | CN¥ 162.36 |
| 5 layers | CN¥ 186.96 |
| 6 layers | CN¥ 211.56 |
| 7 layers | CN¥ 242.31 |
| 3 layers | CN¥ 143.91 |
| 4 layers | CN¥ 162.36 |
| 5 layers | CN¥ 186.96 |
| 6 layers | CN¥ 211.56 |
| 7 layers | CN¥ 242.31 |
| 3 layers | CN¥ 143.91 |
| 4 layers | CN¥ 162.36 |
| 5 layers | CN¥ 186.96 |
| 6 layers | CN¥ 211.56 |
| 7 layers | CN¥ 242.31 |
| 3 layers | CN¥ 143.91 |
| 4 layers | CN¥ 162.36 |
| 5 layers | CN¥ 186.96 |
| 6 layers | CN¥ 211.56 |
| 7 layers | CN¥ 242.31 |
| 3 layers | CN¥ 98.4 |
| 4 layers | CN¥ 116.85 |
| 5 layers | CN¥ 130.38 |
| 6 layers | CN¥ 166.05 |
| 7 layers | CN¥ 184.5 |
| 3 layers | CN¥ 98.4 |
| 4 layers | CN¥ 116.85 |
| 5 layers | CN¥ 130.38 |
| 6 layers | CN¥ 166.05 |
| 7 layers | CN¥ 184.5 |
| 3 layers | CN¥ 150.06 |
| 4 layers | CN¥ 173.43 |
| 5 layers | CN¥ 201.72 |
| 6 layers | CN¥ 234.93 |
| 7 layers | CN¥ 273.06 |
| 3 layers | CN¥ 108.24 |
| 4 layers | CN¥ 126.69 |
| 5 layers | CN¥ 147.6 |
| 6 layers | CN¥ 175.89 |
| 7 layers | CN¥ 202.95 |
| 3 layers | CN¥ 108.24 |
| 4 layers | CN¥ 126.69 |
| 5 layers | CN¥ 147.6 |
| 6 layers | CN¥ 175.89 |
| 7 layers | CN¥ 202.95 |
| 3 layers | CN¥ 62.73 |
| 4 layers | CN¥ 75.03 |
| 5 layers | CN¥ 87.33 |
| 6 layers | CN¥ 110.7 |
| 7 layers | CN¥ 132.84 |
| 3 layers | CN¥ 62.73 |
| 4 layers | CN¥ 75.03 |
| 5 layers | CN¥ 87.33 |
| 6 layers | CN¥ 110.7 |
| 7 layers | CN¥ 132.84 |
| 3 layers | CN¥ 47.97 |
| 4 layers | CN¥ 52.89 |
| 5 layers | CN¥ 59.04 |
| 6 layers | CN¥ 79.95 |
| 7 layers | CN¥ 91.02 |
| 3 layers | CN¥ 47.97 |
| 4 layers | CN¥ 52.89 |
| 5 layers | CN¥ 59.04 |
| 6 layers | CN¥ 79.95 |
| 7 layers | CN¥ 91.02 |
| 3 layers | CN¥ 47.97 |
| 4 layers | CN¥ 59.04 |
| 5 layers | CN¥ 70.11 |
| 6 layers | CN¥ 87.33 |
| 7 layers | CN¥ 105.78 |
| 3 layers | CN¥ 47.97 |
| 4 layers | CN¥ 59.04 |
| 5 layers | CN¥ 70.11 |
| 6 layers | CN¥ 87.33 |
| 7 layers | CN¥ 105.78 |
| 3 layers | CN¥ 132.84 |
| 4 layers | CN¥ 157.44 |
| 5 layers | CN¥ 184.5 |
| 6 layers | CN¥ 231.24 |
| 7 layers | CN¥ 268.14 |
| 3 layers | CN¥ 98.4 |
| 4 layers | CN¥ 123.0 |
| 5 layers | CN¥ 141.45 |
| 6 layers | CN¥ 178.35 |
| 7 layers | CN¥ 202.95 |
| 3 layers | CN¥ 98.4 |
| 4 layers | CN¥ 123.0 |
| 5 layers | CN¥ 141.45 |
| 6 layers | CN¥ 178.35 |
| 7 layers | CN¥ 202.95 |
| 3 layers | CN¥ 62.73 |
| 4 layers | CN¥ 77.49 |
| 5 layers | CN¥ 88.56 |
| 6 layers | CN¥ 111.93 |
| 7 layers | CN¥ 130.38 |
| 3 layers | CN¥ 62.73 |
| 4 layers | CN¥ 77.49 |
| 5 layers | CN¥ 88.56 |
| 6 layers | CN¥ 111.93 |
| 7 layers | CN¥ 130.38 |
| 3 layers | CN¥ 115.62 |
| 4 layers | CN¥ 141.45 |
| 5 layers | CN¥ 157.44 |
| 6 layers | CN¥ 190.65 |
| 7 layers | CN¥ 209.1 |
| 3 layers | CN¥ 115.62 |
| 4 layers | CN¥ 141.45 |
| 5 layers | CN¥ 157.44 |
| 6 layers | CN¥ 190.65 |
| 7 layers | CN¥ 209.1 |
| 3 layers | CN¥ 65.19 |
| 4 layers | CN¥ 79.95 |
| 5 layers | CN¥ 92.25 |
| 6 layers | CN¥ 110.7 |
| 7 layers | CN¥ 125.46 |
| 3 layers | CN¥ 70.11 |
| 4 layers | CN¥ 87.33 |
| 5 layers | CN¥ 100.86 |
| 6 layers | CN¥ 121.77 |
| 7 layers | CN¥ 137.76 |
| 3 layers | CN¥ 88.56 |
| 4 layers | CN¥ 110.7 |
| 5 layers | CN¥ 131.61 |
| 6 layers | CN¥ 162.36 |
| 7 layers | CN¥ 185.73 |
| 3 layers | CN¥ 97.17 |
| 4 layers | CN¥ 121.77 |
| 5 layers | CN¥ 143.91 |
| 6 layers | CN¥ 178.35 |
| 7 layers | CN¥ 201.72 |
| 3 layers | CN¥ 41.82 |
| 4 layers | CN¥ 51.66 |
| 5 layers | CN¥ 60.27 |
| 6 layers | CN¥ 77.49 |
| 7 layers | CN¥ 89.79 |
| 3 layers | CN¥ 41.82 |
| 4 layers | CN¥ 51.66 |
| 5 layers | CN¥ 60.27 |
| 6 layers | CN¥ 77.49 |
| 7 layers | CN¥ 89.79 |













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