Research Article
Optimizing the Pairs-Trading Strategy Using Deep Reinforcement Learning with Trading and Stop-Loss Boundaries
Table 4
Results of applying the DQN method to each window size using OLS.
| Formation window | Trading window | MDD | Sharpe ratio | Profit | # of open portfolios | # of closed portfolios | # of stop-loss portfolios | # of portfolio exits |
| 30 | 15 | −0.3682 | 0.1197 | 2.7344 | 328 | 225 | 44 | 58 | 60 | 30 | −0.3779 | 0.1327 | 2.5627 | 210 | 147 | 41 | 21 | 90 | 45 | −0.4052 | 0.1409 | 2.4112 | 160 | 114 | 34 | 11 | 120 | 60 | −0.4383 | 0.1165 | 2.0287 | 134 | 98 | 28 | 8 | 150 | 75 | −0.4395 | 0.1244 | 2.0098 | 110 | 80 | 24 | 6 | 180 | 90 | −0.5045 | 0.1180 | 1.9390 | 100 | 73 | 21 | 5 |
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