Stock Fundamentals and Portfolio Optimization App

Stock Fundamentals and Portfolio Optimization App udemy course

Stock Analysis & Portfolio Optimization – Ratios, Screeners & Forecasting

Are you looking to Master Stock Fundamentals and build a data-driven portfolio optimization app? This course, Stock Fundamentals and Portfolio Optimization App, is designed to help you analyze financial ratios, screen stocks, and apply machine learning models for stock selection and forecasting.

Starting with key financial ratios such as Debt to Equity, ROE, PE Ratio, and Interest Coverage, you'll learn how to evaluate a company's financial health. You'll then progress to developing a stock screener, where you'll extract company financials, perform data cleaning, and integrate key financial metrics.

The capstone project will guide you through building an end-to-end portfolio optimization application. You'll work with daily market data, perform exploratory data analysis (EDA), and filter relevant stocks using Python. Advanced topics include market cap analysis, risk rating distributions, and stock selection techniques.

To enhance decision-making, the course covers data visualization techniques for understanding financial trends. You will also implement feature engineering and one-hot encoding to refine stock data before applying machine learning models. Classifier models, SHAP-based feature importance, and ROC curve evaluations will be used to select the best predictive models.

Finally, you’ll explore deep learning-based stock forecasting with LSTMs, helping you predict market trends and stock movements. By the end of this course, you’ll have the skills to analyze stocks, optimize portfolios, and make data-driven investment decisions using Python. Whether you're a beginner or an experienced trader, this course will equip you with the tools needed to leverage data science for financial success.