FinXplore combines PPO for stock allocation and DQN for commodity exploration, reporting higher backtest returns on NIFTY and DJIA, but the evaluation uses future information in the acceptance rule.
A novel approach to incorporate investor’s preference in fuzzy multi-objective portfolio selection problem using credibility measure,
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FinXplore: An Adaptive Deep Reinforcement Learning Framework for Balancing and Discovering Investment Opportunities
FinXplore combines PPO for stock allocation and DQN for commodity exploration, reporting higher backtest returns on NIFTY and DJIA, but the evaluation uses future information in the acceptance rule.