Self-attention based deep direct recurrent reinforcement learning with hybrid loss for trading signal generation

•Algorithmic trading using self-attention based recurrent reinforcement learning is developed.•Self-attention layer reallocates temporal weights in the sequence of temporal embedding.•Hybrid loss feature is incorporated to have predictive and reconstructive power.