QuantitaveFinanceExamplesPy
PyPortfolioOpt
QuantitaveFinanceExamplesPy | PyPortfolioOpt | |
---|---|---|
1 | 155 | |
38 | 4,135 | |
- | - | |
0.0 | 5.7 | |
over 1 year ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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.
QuantitaveFinanceExamplesPy
PyPortfolioOpt
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3788.0
-
dcapal alternatives - PyPortfolioOpt and Riskfolio-Lib
3 projects | 16 Sep 2023
- PyPortfolioOpt: Financial portfolio optimisation, including classical efficient frontier and advanced methods. Portfolio Selection and Optimisation - star count:3706.0
What are some alternatives?
quantstats - Portfolio analytics for quants, written in Python
Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
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.
bt - bt - flexible backtesting for Python
FinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]
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.
thesis-computational-artificial-market - Artificial stock market (ASM) with Julia language.
okama - Investment portfolio and stocks analyzing tools for Python with free historical data
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
universal-portfolios - Collection of algorithms for online portfolio selection
Finding-Alpha-with-AI - A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI