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."
