There are 16 repositories under portfolio-analysis topic.
This repository contains the customized trading algorithms that I have created using the Quantopian IDE.
R Shiny app to compare the relative performance of cryptos and equities.
Algorithmic Trading project that examines the Fama-French 3-Factor Model and the Fama-French 5-Factor Model in predicting portfolio returns. The respective factors are used as features in a Machine Learning model and portfolio results are evaluated and compared.
This is a shiny app that let's you create a simple portfolio data analysis report.
analyze financial data using python: numpy, pandas, etc.
modeling the behavior of stock markets: create a market simulator, technical indicator, and a strategy that generates orders
Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods
A full-stack web app to manage and display your cryptoportfolio
🚀 Portfolio: Co-Pilot, 💡 Investing: Idea Generation, 🚦Trade: Due Diligence
User oriented Portfolio optimization application with several configuring options. Back test included. (IBEX35; to be expanded)
Python-powered Excel Macro VBA workbook
A C# add-in for Excel that contains functions for risk-adjusted portfolio performance analysis.
An adapter that returns Morpheus DataFrames from Yahoo Finance
Optimize your Investment Portfolio using MPT
PDF Statement Data Extractor and Analyzer. A Python script for extracting and analyzing financial data from PDF statements, with a focus on Schwab statements.
NIFTY50 Data Analysis from scratch (Data Extraction & Visualization to Investment Insights)
Summary charts of trading strategies created with alchemist-lib.
In this section we will explore several contributions on Portfolio Management and Investment.
Mix of good tools for portfolio analysis
Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices
Quantitative analysis to select one fund among several, for inclusion in a suite of products for retirement portfolios, using key metrics, visualizations, and diversification considerations.
Backtesting my current US stocks portfolio
This Git repository contains the code and documentation for an investment portfolio management project. The project aims to provide professional consultation to two different investors, Mr. Patrick Jyenger and Mr. Peter Jyenger, based on their unique financial objectives.
All the work completed for a study on machine learning based on financial ratios to pick stocks on the ASX
Use of APIs for fetching the stocks and crypto data for portfolio construction and analysis and for financial planning
Market data cleaning and portfolio analysis with Python and Pandas
Simulation of S&P 500 by fitting a normal distribution to the daily price changes and then sampling to create possible pathway.
A small utility built with R to graph the historical returns of a portfolio of stocks, ETFs or other securities
This repository is a personal project used to analyze individual company returns in the stock market compared to a hypothetical investment in a benchmark over equal holding periods
PANDAS Stock Portfolio Analysis
Here you see how to track your portfolio the right way