In this video, you'll learn how to optimize your stock portfolio using Python, boost your returns, and manage risk effectively. We walk through the process of fetching stock data, calculating expected returns, and assessing portfolio risk. You'll also see how to compare your portfolio performance with the S&P 500 benchmark and learn the value of Sharpe ratios to find the best balance between return and risk.
Whether you're a beginner in Python or an experienced investor, this tutorial will help you take control of your portfolio using data-driven decisions. By the end of the video, you'll know how to add new assets to your portfolio and make informed adjustments to increase returns and reduce risk.
My course / website:
www.pythonforfinance.info
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