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.

etfscraper is a Go library for discovering ETFs and fetching fund metadata and holdings from Amundi, iShares and Xtrackers providers

Financial Quantitative Analysis

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.

O Russell Top 200 Data Pipeline é um projeto focado em extração, limpeza e consolidação de dados financeiros a partir de fontes públicas como iShares e Yahoo Finance. O objetivo é criar um pipeline automatizado, confiável e reproduzível, ideal para análises quantitativas, estudos de mercado, backtesting e construção de datasets financeiros.

Research backtest of a multi-component breadth-thrust signal computed from point-in-time ETF constituents. Tested across SOXX, CNDX, CSP1 (S&P 500), IUES (energy), IUFS (financials) with full reproducibility from iShares + yfinance data.