PyPortfolioOpt VS AlgorithmicTrading

Compare PyPortfolioOpt vs AlgorithmicTrading and see what are their differences.

AlgorithmicTrading

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver. (by JerBouma)
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PyPortfolioOpt AlgorithmicTrading
155 50
4,135 799
- -
5.7 2.7
about 2 months ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyPortfolioOpt

Posts with mentions or reviews of PyPortfolioOpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.

AlgorithmicTrading

Posts with mentions or reviews of AlgorithmicTrading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-04.

What are some alternatives?

When comparing PyPortfolioOpt and AlgorithmicTrading you can also consider the following projects:

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

poe-currency-flip-planner - This tool is an attempt at planning short-term arbitrage deals of currency in Path of Exile.

bt - bt - flexible backtesting for Python

FinanceDatabase - This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

okama - Investment portfolio and stocks analyzing tools for Python with free historical data

AeroSandbox - Aircraft design optimization made fast through modern automatic differentiation. Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

universal-portfolios - Collection of algorithms for online portfolio selection

FinanceToolkit - Transparent and Efficient Financial Analysis

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

alphalens - Performance analysis of predictive (alpha) stock factors