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Stock Market Analysis
This document outlines an approach to using machine learning algorithms like hidden Markov models to predict stock prices. It discusses how technical analysis and increasing computational power allows algorithms to analyze large datasets. Human analysis is still important for interpretation. The document then provides an overview of using a hidden Markov model to account for different strategies in the stock market and modeling price data more accurately over time.
