mlfinlab and portfoliolab

These two Python libraries are complementary, with MlFinLab providing advanced machine learning tools for financial applications, which can then be used in conjunction with PortfolioLab's algorithms for sophisticated portfolio optimization.

mlfinlab
51
Established
portfoliolab
48
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 22/25
Stars: 4,590
Forks: 1,245
Downloads:
Commits (30d): 0
Language: Python
License:
Stars: 175
Forks: 46
Downloads:
Commits (30d): 0
Language:
License:
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About mlfinlab

hudson-and-thames/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.

MlFinLab helps quantitative analysts and portfolio managers develop profitable trading strategies using machine learning. It takes raw financial data and outputs robust backtest statistics, allowing you to create and evaluate complex trading models. This is designed for financial machine learning researchers who want to leverage advanced techniques in their investment workflows.

quantitative-finance portfolio-management algorithmic-trading financial-modeling backtesting

About portfoliolab

hudson-and-thames/portfoliolab

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

This library helps quantitative traders and financial professionals build and optimize investment portfolios. It takes market data and investment parameters as input, and outputs optimized portfolio allocations using advanced algorithms. Traders, quantitative analysts, and portfolio managers will use this to enhance their investment strategies.

quantitative-trading portfolio-optimization asset-management financial-modeling investment-strategy

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