Research Article
Stock Trading Strategies Based on Deep Reinforcement Learning
Table 4
AR comparison of different methods in the Chinese stock market dataset.
| AR (%) | | B&H [41] | Model 1 [31] | LSTM-based [34] | TFJ-DRL [35] | HW_LSTM_RL [36] | Ours | Stock | | n = 3 | n = 6 | n = 9 | | | | |
| 002460 | 67.25 | −51.75 | −4.72 | −100 | 45.64 | 68.09 | 59.14 | 70.37 | 601101 | −4.73 | −4.63 | −7.73 | −7.70 | −4.64 | −11.62 | −8.97 | 0.95 | 600746 | 11.58 | 13.31 | 9.47 | 15.52 | 21.76 | 16.59 | 12.30 | 28.18 | 600316 | 72.53 | 74.23 | 74.72 | 76.08 | 68.28 | 67.12 | 72.29 | 79.83 | 600028 | 5.32 | 5.21 | 6.81 | 4.69 | 6.99 | 5.72 | 6.33 | 7.39 | 600900 | 12.35 | 13.82 | 10.47 | 12.04 | 5.83 | 11.36 | 12.74 | 11.69 | 002129 | 53.14 | 54.26 | 48.12 | 50.33 | 49.41 | 51.42 | 54.02 | 58.90 | 600704 | 2.32 | 7.43 | 10.06 | 8.49 | 9.32 | 9.95 | 11.47 | 13.28 | 600377 | 1.73 | 3.11 | 1.63 | 5.84 | 6.42 | 2.58 | 4.23 | 7.70 | 300122 | 60.18 | 57.12 | 55.84 | 61.40 | 60.52 | 62.47 | 59.24 | 65.39 | Average | 28.17 | 17.21 | 20.47 | 12.67 | 26.95 | 28.37 | 28.28 | 34.37 |
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