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Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey. (arXiv:2308.04947v1 [q-fin.ST])
cs.LG updates on arXiv.org arxiv.org
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 …
arxiv groundbreaking importance knowledge linear nature non-linear prediction price research stock stock price survey