Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction

Understand

Stock trend prediction plays a critical role in seeking maximized profit from stock investment.

• However, precise trend prediction is very difficult since the highly volatile and non-stationary nature of stock market.
• Exploding information on Internet together with advancing development of natural language processing and text mining techniques have enable investors to unveil market trends and volatility from online content.
• Unfortunately, the quality, trustworthiness and comprehensiveness of online content related to stock market varies drastically, and a large portion consists of the low-quality news, comments, or even rumors.