Awesome AI in Finance
Section: Portfolio Management · Portfolio optimization with deep learning.
Entry
Appears in 4 awesome lists
| Python | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
Section: Portfolio Management · Portfolio optimization with deep learning.
Section: Portfolio Optimization & Risk Analysis · Python - Portfolio optimization with deep learning.
Section: Optimization · Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
Section: Optimization · | Python | - Python package connecting portfolio optimization and deep learning. Its goal is to facilitate research of networks that perform weight allocation in one forward pass.
Portfolio and risk analytics. zipline - Algorithmic trading. alphalens - Performance analysis of predictive stock factors. empyrical - Financial risk metrics. trading_calendars - Calendars for various securities exchanges.
Python - Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.
| C++, Python | - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
| Python, PyTorch | - Research stack for multi-factor ML experiments with 213 mask-aware factors, bias correction, portfolio optimization, and vectorized backtesting.
Python - Implementations regarding "Advances in Financial Machine Learning" by Marcos Lopez de Prado. (Feature Engineering, Financial Data Structures, Meta-Labeling).
JavaScript - Wealth management software to keep track of financial assets like stocks, ETFs or cryptocurrencies and make solid, data-driven investment decisions.
| Python | - spectre is a GPU-accelerated Parallel quantitative trading library, focused on performance.
Computational tools for financial economics, Python code base and tutorials using Jupyter notebooks, includes data retrieval, graphics, and optimization.