Research Article

Stock Trading Strategies Based on Deep Reinforcement Learning

Table 5

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

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

0024601.72−1.01−0.08−1.561.041.751.471.83
601101−0.13−0.21−0.41−0.32−0.13−0.31−0.240.03
6007460.250.390.290.620.490.300.410.52
6003161.771.791.831.891.651.731.922.00
6000280.230.210.340.190.350.220.270.49
6009000.740.810.670.720.340.680.710.70
0021291.231.251.181.161.201.121.221.34
6007040.080.350.410.390.380.400.430.50
6003770.100.220.150.350.390.240.300.46
3001221.641.671.521.691.481.611.701.78
Average0.760.550.590.510.720.770.820.97