Here you see how to track your portfolio the right way
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Updated
Jun 4, 2024 - R
Here you see how to track your portfolio the right way
Portfolio optimisation library.
DcaPal is a free, no registration, online tool to help you keep your portfolio balanced with dollar cost averaging investments
The flagship product by Genesis Quantitative Platforms—an advanced algorithmic trading platform that offers an end-to-end solution to researching, testing and deploying algorithmic trading strategies for a network of assets
AI powered cryptocurrency data and Agents
CaptureGrounds is a web-based app connecting videographers and photographers with customers. Created by me and my group namely 'CaptureGrounds' for our 4th semester final project at IMT@UC, it lets customers find professionals based on preferences and allows photographers/videographers to showcase their portfolios to attract more clients.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Asset Allocation with a Carbon Objective - Semester Project 2024 Sustainability Aware Asset Management Class @ HEC Lausanne
This repository contains an Excel Spreadsheet to maintain & rebalance an ETF Portfolio.
Free python/telegram bot for easy execution and surveillance of crypto trading plans on multiple exchanges.
Supplementary information file for the manuscript titled: "New Risk Measures Derived from the g- and h-Index"
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
PortfolioWizard - Capstone Project 2024 Advanced Programming @ HEC Lausanne
Performance attribution analysis, value investment, original investment ideas, alpha seeking
This project looks at the performance of the stock market Tech sector on the Nasdaq index, analyzing the relationship between Operating Cash Flow and Capex, and it’s effect on overall returns.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
The project addresses the limitations of traditional risk tolerance questionnaires, which are often subject to errors due to behavioral biases and lack automation. By leveraging machine learning and detailed financial data, the project seeks to provide a more accurate and automated approach to determining an investor's risk tolerance.
A Portfolio Object to automatically do portfolio optimization and statistics on historical stock data from Yahoo! Finance in Rstudio
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