mlfinlab
Riskfolio-Lib
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mlfinlab | Riskfolio-Lib | |
---|---|---|
126 | 193 | |
3,763 | 2,670 | |
1.7% | - | |
0.0 | 7.4 | |
7 months ago | 18 days ago | |
Python | C++ | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
mlfinlab
Riskfolio-Lib
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2361.0
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2313.0
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dcapal alternatives - PyPortfolioOpt and Riskfolio-Lib
3 projects | 16 Sep 2023
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2222.0
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2178.0
What are some alternatives?
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
tradestation-python-api - A Python Client library for the TradeStation API.
finam-export - Python client library to download historical data from finam.ru
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
okama - Investment portfolio and stocks analyzing tools for Python with free historical data
deepdow - Portfolio optimization with deep learning.
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.