Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
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Updated
Aug 28, 2023 - Jupyter Notebook
Exploratory analysis, visualization of stock market data along with predictions made on it using different techniques.
Application and data for analyzing and structuring portfolios for climate investing.
A collection of various computational methods to optimize a user's investment portfolio using Modern Portfolio Theory and optimizing various factors such as Returns, Sharpe Ratio and Risk.
Backtesting of different trading strategies by applying different Modern Portfolio Theory (MPT) approaches on long-only ETFs portfolios in Python.
A MATLAB Realisation of Regime Switching Asset Allocation Strategy
Design and build a reliable, large-scale trading data pipeline.
Mean-Variance Optimization using DL (pytorch)
Portfolio Optimization on a Quantum computer.
An implementation of the Deep-portfolio-theory begins from working on the Modern Portfolio Theory by recreating the Markovian Efficient Frontier, then merges it with DeepFactors with the help of Kolmogorov Arnold Theorem.
Modern Portfolio Theorem for portfolio optimization and asset allocation
Asset allocation and portfolio optimization implementations to examine how each one differs and affects the overall portfolio.
ESG investing web app that takes user inputs to generate personalized equity portfolios and even comparative firm ESG rankings.
Portfolio Optimization Modules
Application for portfolio optimization with post-modern portfolio theory (PMPT)
Modern Portfolio Theory and Dollar Cost Averaging simulation for the stock market
Stock Portfolio Optimization with Particle Swarm Optimization, using Modern Portfolio Theory
🏦 Building a Minimally Correlated Portfolio with Data Science
Portfolio optimization system that maximizes returns while effectively managing risk.
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