Social Media Sentiment and Stock Market Trends: A Sentiment-Driven Market Interpretation
This article primarily explores the impact of social media sentiment on stock prices. By combining sentiment analysis data with relevant financial indicators, four different Alpha strategies were developed for this investigation. These Alphas include Post Number Alpha, RSI and Sentiment Score Alpha, Sentiment-VIX Alpha, and Sentiment Score Alpha. Each method is based on social media sentiment data and incorporates different angles or indicators to test the relationship between social media sentiment and stock prices. The research results indicate that social media sentiment has constructive value as an important indicator for predicting stock market prices and trends, and thus can serve as a reference for developing effective trading strategies.
Authors
- Yike Li (ORCID: https://orcid.org/0000-0002-2065-5026)
- Yiyu Yao (ORCID: https://orcid.org/0000-0001-6502-6226)
- Yu Liu (ORCID: https://orcid.org/0009-0007-6599-5685)
- Yuxuan Liu (ORCID: https://orcid.org/0000-0001-8196-1054)
Institutions
- University of British Columbia (CA)
- University of California, Santa Barbara (US)
- Purdue University West Lafayette (US)
Publication Details
- Journal
- Advances in Economics Management and Political Sciences
- Published
- 2025-09-09
- DOI
- https://doi.org/10.54254/2754-1169/2024.26654
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00