Research Article
A Stock Selection Model of Image Classification Method Based on Convolutional Neural Network
Table 3
Results of FNN under different parameters.
| Training size | Hidden layer | Benchmark | Annual return | Sharp ratio | Max drawdown |
| 12 | 1 | 64367 | 5237 | 0.0023 | 0.2080 | 24 | 1 | 29864 | 1408 | 0.0192 | 0.2203 | 48 | 1 | 35711 | 11342 | 0.0043 | 0.2309 | 12 | 2 | 64367 | 32881 | 0.0472 | 0.2114 | 24 | 2 | 29864 | 4636 | 0.0150 | 0.2207 | 48 | 2 | 35711 | 27498 | 0.0236 | 0.2348 | 12 | 3 | 64367 | 38002 | 0.0352 | 0.2114 | 24 | 3 | 29864 | 26367 | 0.0250 | 0.1913 | 48 | 3 | 35711 | 29701 | 0.0236 | 0.1967 |
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