Statistical-Learning-based-Portfolio-Optimization
Portfolio optimizer
An R Shiny application implementing a portfolio optimization method
This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).
13 stars
1 watching
1 forks
Language: R
last commit: 6 months ago
Linked from 1 awesome list
appasset-allocationfinancehierarchical-clusteringinvestingmachine-learningportfolio-optimizationquantitative-financeshiny
Related projects:
Repository | Description | Stars |
---|---|---|
lequant40/portfolio_allocation_js | A JavaScript library used to optimize financial portfolios through mathematical optimization algorithms | 176 |
jjakimoto/dqn | Reinforcement learning-based algorithm for optimizing stock trading and portfolio management | 181 |
zhengyaojiang/pgportfolio | A software toolkit implementing a novel reinforcement learning framework for portfolio management with policy optimization and financial-model-based algorithms. | 1,751 |
jankrepl/deepdow | A framework that enables portfolio optimization using deep learning. | 920 |
marigold/universal-portfolios | Provides tools and algorithms for optimizing portfolio selection based on historical data | 776 |
skfolio/skfolio | A Python library for building and optimizing portfolios using machine learning algorithms | 1,247 |
braverock/portfolioanalytics | A PostScript-based software suite for analyzing and optimizing investment portfolios using various optimization techniques and robust covariance matrix estimators. | 79 |
deependersingla/deep_portfolio | An algorithm that optimizes portfolio allocation using Reinforcement Learning and Supervised learning. | 168 |
justinmshea/expectedreturns | This project implements solutions to enhance portfolio diversification using R based on the book 'Expected Returns' by Antti Ilmanen | 41 |
deltaray-io/kelly-criterion | Calculates optimal capital allocation for a portfolio based on historical stock prices and a risk management strategy. | 92 |
jiangoforit/yellowfin_pytorch | An optimizer that automatically tunes momentum and learning rate using local quadratic approximation. | 287 |
jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 413 |
daattali/shinyjs | Easily improves user experience of Shiny apps by providing JavaScript operations without requiring knowledge of the language. | 738 |
dppalomar/riskparityportfolio | A tool for designing and optimizing risk parity portfolios using optimization techniques | 107 |
bcgov/cciss_shinyapp | An R-based web application that analyzes climate change implications on tree species suitability for reforestation decisions | 16 |