13 citations · 13 across the 3 of their papers we have counts for
4 papers
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy
Hongyang Yang, Xiao-Yang Liu, Shan Zhong +1
Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and dynamic stock market. In this paper, we pro…
Seasonality Based Reranking of E-commerce Autocomplete Using Natural Language Queries
Prateek Verma, Shan Zhong, Xiaoyu Liu +1
Query autocomplete (QAC) also known as typeahead, suggests list of complete queries as user types prefix in the search box. It is one of the key features of modern search engines s…
S&P 500 Stock Price Prediction Using Technical, Fundamental and Text Data
Shan Zhong, David B. Hitchcock
We summarized both common and novel predictive models used for stock price prediction and combined them with technical indices, fundamental characteristics and text-based sentiment…
Practical Deep Reinforcement Learning Approach for Stock Trading
Xiao-Yang Liu, Zhuoran Xiong, Shan Zhong +2
Stock trading strategy plays a crucial role in investment companies. However, it is challenging to obtain optimal strategy in the complex and dynamic stock market. We explore the p…