Financial Quantitative Analysis
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Updated
Oct 13, 2024 - Jupyter Notebook
Financial Quantitative Analysis
Finance Data Downloader is a Python project that downloads data from various sources such as Federal Reserve Economic Data, Yahoo Finance, SplitHistory, iShares, Eurekahedge, EODHD, and more. It provides a flexible and configurable data downloading system that can be scheduled or run manually.
A library for reading data from the ishares product family.
Market risk analysis of the S&P 500 Index IVV ETF using Alteryx over 5 years. The project focuses on key financial metrics like Value at Risk (VaR), Expected Shortfall (ES), Sharpe Ratio, and Max Drawdown. It highlights skills in data preprocessing, financial analysis, and visualization, with dynamic results generated each time.
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