Maximize Your Investment Potential: Optimize Stock, Crypto, and ETF Allocations for Peak Portfolio Performance.
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Updated
Oct 14, 2024 - JavaScript
Maximize Your Investment Potential: Optimize Stock, Crypto, and ETF Allocations for Peak Portfolio Performance.
Investment portfolio and stocks analyzing tools for Python with free historical data
**Previsão de Preços de Ações e Otimização de Portfólio** Preveja preços de ações com LSTM e otimize seu portfólio de investimentos utilizando o modelo de Markowitz. Ideal para traders, cientistas de dados e entusiastas do mercado financeiro!
Constructing mean-variance efficient frontiers from MPT.
Python financial widgets with okama and Dash (plotly)
Backtesting of different trading strategies by applying different Modern Portfolio Theory (MPT) approaches on long-only ETFs portfolios in Python.
This is a web app that helps people understand the main concepts from Markowitz's Modern Portfolio Theory
Portfolio optimization with deep learning.
MVO and Monte Carlo Simulation for Financial Portfolio optimization
This Python script performs portfolio optimization based on different optimization criteria: 'sharpe', 'cvar', 'sortino', and 'variance'. The script uses historical stock price data downloaded from Yahoo Finance.
A JavaScript library to allocate and optimize financial portfolios.
Markowitz's inspired portfolio selection application
I did this project as a challenge for my Master's degree. The objective was to find the efficient frontier and the maximum sharpe portfolio using a simulation with a dataset of 70 thousand investment funds
Portfolio Optimization on a Quantum computer.
Efficient Frontier using R
Efficient frontier for different correlation coefficients between two assets
Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."
A Java implementation of the VBA code for the Critical Line Algorithm in the book "Mean-Variance Analysis in Portfolio Choice and Capital Markets" by Harry M. Markowitz
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