Hey everyone!
I’ve just completed the Analyze Financial Data with Python Skill Path and I’m excited to share my capstone project for peer review. The project was created in Jupyter Notebook, and I used Visual Studio Code with the Copilot extension to assist with the implementation.
Download the file (.ipynb extension)
What I Did:
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Analyzed historical financial data for six assets: BTC, ETH, BNB, TRX, DOGE, and XRP.
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Performed returns analysis (daily, monthly, yearly), calculated volatility, and assessed correlations to evaluate diversification.
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Used mean-variance optimization to build the Efficient Frontier and simulated portfolio allocations for different risk levels.
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Visualized the results with clear charts to make the analysis intuitive and actionable.
Request for Feedback:
I’d really appreciate any feedback on:
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The accuracy and structure of my analysis.
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The quality of my visualizations.
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Suggestions for improvement or anything I might have missed.
Thank you so much for taking the time to review my project. I’m looking forward to your insights!
Best regards,
Tim