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).

GitHub

13 stars
1 watching
1 forks
Language: R
last commit: 6 months ago
Linked from 1 awesome list

appasset-allocationfinancehierarchical-clusteringinvestingmachine-learningportfolio-optimizationquantitative-financeshiny

Backlinks from these awesome lists:

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