Research Article
[Retracted] Beat Wash-Sale Tax with Multigraph Convolutional Neural Networks Based Trading Strategy
Table 13
Summary for trading with adjusted probability threshold and constrained volatility.
| Evenly distributed weight | Model | MDD | Return (%) | Counts | SR | Win rate (%) | Loss (106) | Profit (106) | Net volume (106) |
| Baseline | 0.32 | 81.13 | 1 | 2.14 | | | 1.62 | 1.33 | Random Forest | 0.08 | 29.37 | 1398 | 2.49 | 0.33 | 1.09 | 0.59 | 0.00 | XGBoost | 0.07 | 37.93 | 1422 | 3.10 | 0.33 | 1.12 | 0.76 | 0.10 | GRU | 0.08 | 27.48 | 1187 | 2.55 | 0.33 | 1.38 | 0.55 | −0.13 | LSTM | 0.04 | 27.34 | 680 | 3.65 | 0.29 | 1.01 | 0.55 | 0.01 | Multi-GCN-GRU | 0.02 | 104.69 | 1097 | 12.13 | 0.43 | 0.61 | 2.09 | 1.13 | Multi-GCN-LSTM | 0.05 | 107.29 | 960 | 10.61 | 0.45 | 0.83 | 2.15 | 1.08 |
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