matthewfieger's Stars
KingLear194/BlackLittermanEnd2End
Code for the project Black-Litterman end to end
OpenSourceAP/CrossSection
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Musonda2day/Asset-Portfolio-Management-usingDeep-Reinforcement-Learning-
This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.
sktime/pytorch-forecasting
Time series forecasting with PyTorch
firmai/machine-learning-asset-management
Machine Learning in Asset Management (by @firmai)
differential-machine-learning/notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
SenPei-CU/COVID-19
wilsonfreitas/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
cbailes/awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
wwrechard/pydlm
A python library for Bayesian time series modeling
RJT1990/pyflux
Open source time series library for Python
VivekPa/OptimalPortfolio
An open source library for portfolio optimisation
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
EliteQuant/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
cantaro86/Financial-Models-Numerical-Methods
Collection of notebooks about quantitative finance, with interactive python code.
pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
josdejong/mathjs
An extensive math library for JavaScript and Node.js
JimVaranelli/KPSS-autolag
KPSS autolag method of Hobijn et al. (1998)
JimVaranelli/WhiteSpec
Python implementation of White's specification test
JimVaranelli/ZAUnitRoot
Zivot-Andrews structiral-break unit-root test
TDAmeritrade/stumpy
STUMPY is a powerful and scalable Python library for modern time series analysis
JimVaranelli/Leybourne-McCabe
Python implementation of Leybourne-McCabe stationarity test
OWASP/CheatSheetSeries
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
plotly/plotly.js
Open-source JavaScript charting library behind Plotly and Dash
blue-yonder/tsfresh
Automatic extraction of relevant features from time series:
dfm/corner.py
Make some beautiful corner plots
HIPS/autograd
Efficiently computes derivatives of NumPy code.
Jianbo-Lab/CCM