Riskfolio-Lib
deepdow
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Riskfolio-Lib | deepdow | |
---|---|---|
193 | 22 | |
2,682 | 834 | |
- | - | |
7.4 | 3.7 | |
26 days ago | 3 months ago | |
C++ | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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.
Riskfolio-Lib
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2361.0
- Riskfolio-Lib: NEW Portfolio Selection and Optimisation - star count:2313.0
-
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
deepdow
- DeepDow: Portfolio optimization with deep learning. Portfolio Selection and Optimisation - star count:758.0
- DeepDow: Portfolio optimization with deep learning. Portfolio Selection and Optimisation - star count:703.0
- DeepDow: Portfolio optimization with deep learning. Portfolio Selection and Optimisation - star count:613.0
What are some alternatives?
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
pytorch-forecasting - Time series forecasting with PyTorch
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
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.
cvxportfolio - Portfolio optimization and back-testing.
pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
Quantropy - Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
finam-export - Python client library to download historical data from finam.ru
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
okama - Investment portfolio and stocks analyzing tools for Python with free historical data
DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.