Opportunities in S&P 500 Dividend-Paying Stocks

Colab Notebook and Python libraries are used in this project to explore dividend investing strategies for S&P 500 stocks. The project employs fundamental and technical analyses to identify undervalued and overvalued stocks.

Data Science and Machine Learning can enhance stock market analysis by using algorithms to identify high-yielding stocks. A valuation model that incorporates key financial ratios, such as price-to-book and dividend yield, helps determine a stock’s fair value and intrinsic value.

Open the link below, which contains the full methodology and best practices for this Project. Opportunities in S&P 500 Dividend-Paying Stocks > Methodology and Best Practices

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Source: kikosikera/2024_08_28_mt_kr_pd