okama
Riskfolio-Lib
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okama | Riskfolio-Lib | |
---|---|---|
5 | 193 | |
185 | 2,682 | |
5.4% | - | |
9.0 | 7.4 | |
about 2 months ago | 24 days ago | |
Python | C++ | |
MIT License | 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.
okama
- okama: NEW Portfolio Selection and Optimisation - star count:104.0
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Sunday Daily Thread: What's everyone working on this week?
Contributing to an interesting project which allows quite a great functionality to create and observe your investment portfolio https://github.com/mbk-dev/okama
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Open-source in finance. Okama project
Other okama examples are available in Jupyter Notebook format.
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Simple Stock Market simulator in Excel or Python
More information about okama is at GitHub: https://github.com/mbk-dev/okama
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?
PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
plutus_backtest - plutus_backtest is a python package for backtesting investment decisions using Python 3.6 and above.
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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.
fwoba - Frequency Weighted OrderBook Analysis
pyrb - Constrained and Unconstrained Risk Budgeting / Risk Parity Allocation in Python
lakshmi - Investing library and command-line interface inspired by the Bogleheads philosophy
finam-export - Python client library to download historical data from finam.ru
simfin - Simple financial data for Python
DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.