Deep Learning and Reinforcement Learning in Algorithmic Trading (2018–2025)
A practical survey of deep learning (LSTM/CNN/Transformers) and deep reinforcement learning (DQN/PPO/A2C) for trading across equities, futures, and crypto—what works, what breaks, and how to deploy with realistic risk controls.
Contents
- Why this matters
- Fast reader map
- Deep learning for prediction
- Deep reinforcement learning
- Market-specific observations
- Pragmatic benchmark table
- Best practice for live trading
- Bottom line
- References