Before revision:  Extensive experiments on two real-world stock data show that our method outperforms the state-of-the-art solution with 3.11\% relative improvements on average w.r.t. accuracy, verifying the usefulness of adversarial training for stock prediction task . Codes will be made available upon acceptance .
After revision:  Extensive experiments on two real-world stock data show that our method outperforms the state-of-the-art solution with 3.11\% relative improvements on average w.r.t. accuracy, verifying the usefulness of adversarial training for stock prediction task .