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
Stockn = 3n = 6n = 9

00246067.25−51.75−4.72−10045.6468.0959.1470.37
601101−4.73−4.63−7.73−7.70−4.64−11.62−8.970.95
60074611.5813.319.4715.5221.7616.5912.3028.18
60031672.5374.2374.7276.0868.2867.1272.2979.83
6000285.325.216.814.696.995.726.337.39
60090012.3513.8210.4712.045.8311.3612.7411.69
00212953.1454.2648.1250.3349.4151.4254.0258.90
6007042.327.4310.068.499.329.9511.4713.28
6003771.733.111.635.846.422.584.237.70
30012260.1857.1255.8461.4060.5262.4759.2465.39
Average28.1717.2120.4712.6726.9528.3728.2834.37