Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
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Updated
Jul 10, 2024 - C++
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Python financial widgets with okama and Dash (plotly)
Entropy Pooling views and stress-testing combined with Conditional Value-at-Risk (CVaR) portfolio optimization in Python.
Investment portfolio and stocks analyzing tools for Python with free historical data
Investing library and command-line interface inspired by the Bogleheads philosophy
Python library for portfolio optimization built on top of scikit-learn
Helps you with managing your investments
Entropy Pooling in Python with a BSD 3-Clause license.
The allocation algorithm in "An Analytic Derivation of the Efficient Portfolio Frontier" by Robert Merton, 1972.
Python Rebalancer
Value or Momentum? Comparing Random Forests, Support Vector Machines, and Multi-layer Perceptrons for Financial Time Series Prediction & Tactical Asset Allocation
This R Shiny App utilizes the Hierarchical Equal Risk Contribution (HERC) approach, a modern portfolio optimization method developed by Raffinot (2018).
Two stocks minimum-variance portfolio and optimal portfolio with Python.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Rebalancing calculator for dynamic asset allocation strategies
Asset Allocation of stocks using quantitative methods
Статьи проекта "Рост Сбережений": инвестиции на фондовом рынке
An asset allocation/rebalancing calculator for financial portfolio management to minimize tax liability.
Materials for the Practical Financial Optimization summer course at the University of Copenhagen
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