Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey

Understand

Predicting stock prices presents a challenging research problem due to the inherent volatility and non-linear nature of the stock market.

• In recent years, knowledge-enhanced stock price prediction methods have shown groundbreaking results by utilizing external knowledge to understand the stock market.
• Despite the importance of these methods, there is a scarcity of scholarly works that systematically synthesize previous studies from the perspective of external knowledge types.
• Specifically, the external knowledge can be modeled in different data structures, which we group into non-graph-based formats and graph-based formats: 1) non-graph-based knowledge captures contextual information and multimedia descriptions specifically associated with an individual stock; 2) graph-based knowledge captures interconnected and interdependent information in the stock market.