Trading Algorithm Performance through Novel Newspaper Sentiment Integration

Abstract

"Inaccurate trading decisions cast a long shadow over financial markets, draining billions of dollars each year. This is due to a lack of access to professional counsel and advanced algorithms, which frequently results in misinformed trading decisions fuelled. Addressing this issue requires creative solutions such as sentiment analysis, which provides investors with vital information into navigating the market with improved precision, performance, and lower financial losses. To address the growing issue of inaccurate trading decisions, this study digs into sentiment analysis and its potential to empower trading algorithms. The sentiment data, rigorously quantified and integrated into the algorithmic fabric, opens up a world of possibilities, including forecasting price changes based on shifts in market psychology and eventually driving more informed trading decisions."