Dive into the complex world of stock market prediction with ‘Stock Price Predictions: An Introduction to Probabilistic Models.’ This comprehensive guide explores both traditional and modern methods for forecasting stock prices, making it ideal for investors of all levels.
Learn the foundations with classic techniques like Fundamental Analysis and Technical Analysis, then explore advanced methods like Sentiment Analysis and Machine Learning. The book delves deep into probability-based models, including ARIMA, GARCH, and Stochastic Volatility Models, providing a clear understanding of their applications and limitations.
Discover real-world success stories using models like Black-Scholes, Monte Carlo Simulations, and cutting-edge approaches like LSTM and Facebook’s Prophet. Gain a solid theoretical and practical grasp of stock price prediction, empowering your investment strategies.
A propos de l’auteur
I am bestselling author. I have proven technical skills (Google certifications) to deliver insightful books with ten years of business experience. I have written and published 400 books as per Goodreads record.
ORCID: https://orcid.org/0009-0004-8629-830X
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