Research Article

Stock Trading Strategies Based on Deep Reinforcement Learning

Table 7

PR comparison of different methods in the S&P 500 market dataset.

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

AMD296.09323.08315.36337.61301.28283.45336.72352.67
AAL−55.78−11.73−75.31−28.66−60.89−70.49−18.583.69
BIO122.72136.15116.40129.37128.24133.61140.27143.67
BLK79.5683.4175.9484.2874.2578.9782.6285.39
TSLA1060.141167.901005.81986.43958.221024.261130.221184.59
AAPL216.41218.39206.28224.83197.34209.41213.70227.61
GOOGL54.7622.8734.8361.2439.2950.8752.9762.47
IBM0.412.465.51−2.3118.258.504.1828.30
HST−15.05−10.81−18.92−14.06−17.51−14.32−10.633.47
PG47.5249.8450.0646.6140.9444.7250.2552.04
Average180.68198.16171.60182.53167.94174.90198.17212.96