Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

For trading. Please star.

Build a statistical risk model using PCA. Optimize the portfolio using the risk model and factors using multiple optimization formulations.

Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)

Parameter Optimization for Lean Algorithms

Portfolio optimization using Genetic algorithm.

A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.

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.

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."

C++ code for "A Faster Drop-in Implementation for Leaf-wise Exact Greedy Induction of Decision Tree Using Pre-sorted Deque"

Design your own Trading Strategy

Stock Portfolio Analysis using Python/Pandas

Download brazillian investment funds and their benchmarks data from CVM and analyze their performance with pre-built functions.

Stock Market Analysis

analyze financial data using python: numpy, pandas, etc.

A student Investment portfolio web app built with various optimization techniques and screening parameters from core finance

Python notes on finance

Data Science Case Studies

Modern Portfolio Theorem for portfolio optimization and asset allocation

📈This repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)