Master stock market prediction with this guide to traditional and modern probabilistic models, including ARIMA, GARCH, and LSTM.
This comprehensive guide explores stock market prediction models, catering to both novice and seasoned investors. It provides detailed explanations of traditional and modern approaches, including Fundamental Analysis, Technical Analysis, Quantitative Analysis, Sentiment Analysis, Time Series Analysis, and Machine Learning Algorithms.
The book delves into probability models, examining ARIMA, GARCH, VAR, MGARCH, and Stochastic Volatility Models. It offers real-world examples of successful forecasts using models like Black-Scholes, Monte Carlo Simulations, Brownian Motion, ARIMA, GARCH, LSTM, and Facebook's Prophet.
Azhar ul Haque Sario
I am bestselling author. Data scientist. Cambridge Alumnus. I have proven technical skills (MBA, ACCA (Knowledge Level- FTMS college Malaysia), BBA, several Google certifications such as Google Data Analytics Specialization, Google Digital Marketing & E-commerce Specialization, and Google Project Management Specialization) to deliver insightful books with ten years of business experience. I have written and published 650+ titles.
ORCID: https://orcid.org/0009-0004-8629-830X
Azhar.sario@hotmail.co.uk
Stock Market Prediction Probabilistic Models Machine Learning Time Series Analysis Investment Strategies ARIMA GARCH