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Stock Analysis & Prediction Model

Data & AI

This marks my first project about machine learning. It was an exhilarating blend of challenge and excitement, living up to its name. Through this experience, I gained valuable skills in creating analyzing and predicting models using fundamental frameworks. The process was as enjoyable as it was intense, offering a hands-on introduction to the power and potential of machine learning.

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This stock market analysis project demonstrates the powerful combination of Python's data science tools and financial principles. Using pandas, matplotlib, seaborn, and numpy, we conducted comprehensive analyses of stock performance and risk. The project showcases various analytical techniques, from moving averages and correlation studies to Monte Carlo simulations for Value at Risk calculations.

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"These images show Monte Carlo simulations for Google and Amazon stocks over a year. Google's simulation starts at $830.09 with a mean final price of $831.26 and a 99% Value at Risk (VaR) of $17.98. Amazon begins at $824.95, projects to $826.24, with a slightly higher VaR of $18.13. The red lines indicate the 1% worst-case scenario, offering a quick visual comparison of potential returns and risks for these tech giants."

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