Research Article

Stock Trading Strategies Based on Deep Reinforcement Learning

Table 6

MDD comparison of different methods in the Chinese stock market dataset.

MDD (%)
B&H [41]Model 1 [31]LSTM-based [34]TFJ-DRL [35]HW_LSTM_RL [36]Ours
Stockn = 3n = 6n = 9

00246041.3260.7050.5069.3756.6848.0541.3241.32
60110156.9842.1739.5043.9056.2959.3857.8046.44
60074642.5844.5640.6536.0152.4753.5339.6849.84
60031625.3626.7126.5926.8328.9130.1234.4025.12
60002850.0353.1751.7756.8217.2043.9523.3915.58
60090016.1915.2919.4016.3819.9517.2318.3417.42
00212935.4835.2138.7634.9235.4842.8332.5730.41
60070425.7726.9125.0826.9630.7936.2424.1623.37
60037719.7619.8420.6218.2620.3123.4818.2215.45
30012238.0738.2840.9636.0542.6039.1238.5534.89
Average35.1536.2835.5836.5536.0739.3932.8429.98