Reinforcement Learning for Trading

By John E. Moody, Matthew Saffell. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Takashi Matsubara
2. Ryo Akita
3. Kuniaki Uehara
4. Matthew Saffell
5. John E. Moody
6. Omer Berat Sezer
7. A. Ozbayoglu
8. J. Urgen Schmidhuber

Citations in the corpus

• Stock Price Prediction by Deep Neural Generative Model of News Articles (2018, methodology): “The quantitative prediction of stock price movements and market simulations based on such predictions are both beyond the scope of this present study, but we include them as possible future work [29].”
• Learning to trade via direct reinforcement (2001, background): “These comparative results were presented previously at NIPS*98 [23].”