A dashboard that shows how much Litecoin companies and ETFs are holding
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Updated
Nov 10, 2025 - TypeScript
A dashboard that shows how much Litecoin companies and ETFs are holding
A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights.
Static ETF database in various formats
Dynamic Asset Allocation and Diversification Techniques
automatic portfolio balancer for etrade accounts
Creation and analysis of a core long-term portfolio composed of ETFs only with flexible quotes.
ETF holdings API provides real-time and historical data on ETF fundamentals, holding allocation as well as periodical returns.
The Enhanced DCA Trading Strategy for ETF
Power BI dashboard for ETF performance analysis with interactive ETF selector, trend insights, candlestick chart, technical indicators, key metrics, top holdings, ETF rankings and provider overview
Professional investment analysis tools for stocks and ETFs with real-time calculations, valuation analysis, and comprehensive return projections
Go-based application designed to scrape and analyze ETF (Exchange-Traded Fund) data, focusing on dividend cash amounts, average closing prices, and dividend yields over a specified number of years. The application uses the colly library for web scraping and the tablewriter library for displaying the data in a formatted table.
A console application for finding the optimal proportions for ETFs in my portfolio
a Python3 library for developing, backtesting, and analyzing trading algorithms using historical stock market data.
Stock Stop Loss & Re-entry Calculator — Utility to calculate configuration for Stop Limit Order to Exit and Re-Enter the market. This started as a conversation with Claude.AI.
Values the top holdings of ETFs to assess if it is overall overvalued or undervalued at the current price.
Econometrics | Spring 2023
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.
Automated web scraper for extracting information about Exchange-Traded Funds (ETFs) eligible for investment in the French PEA account from the Boursorama website.
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