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Leveraging Financial News Analysis to Predict Stock Price Movement

摘要


Stock market predictions have been prominent among scholars. Sentiment analysis applying financial news articles for predicting stock has also grown in popularity over the past few decades. Our research indicates the impact of sentiment analysis of financial news on forecasting asset prices. In this research, sentiment is culled from financial news of companies over the past three years. Subsequently the asset prices can be predicted using stock market data, alongside sentiment analysis data with several machine learning algorithms. The results show a more convincing level of precision in the aggregation of both stock market data and sentiment analysis data.

參考文獻


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