MlfinlabMlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
EitenStatistical and Algorithmic Investing Strategies for Everyone
PyportfoliooptFinancial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
AI-for-Trading📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com
osqpThe Operator Splitting QP Solver
poptimizerОптимизация долгосрочного портфеля акций
Algorithmic-TradingI have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
okamaInvestment portfolio and stocks analyzing tools for Python with free historical data
portfoliolabPortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.
TAA-PGUsage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
Trading-AlgorithmsThis repository contains the customized trading algorithms that I have created using the Quantopian IDE.
qc portfolio optimizationA program that implements the portfolio optimization experiments using a hybrid quantum computing algorithm from arXiv:1911.05296. The code was developed as part of the 2020 Quantum mentorship program. Many thanks to my mentor Guoming Wang from Zapata Computing!
DROPFixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics