Jacques Francois Joubert's repositories
financial-data-structures
Depricated repo. Please refer to mlfinlab
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
sa_risk_management
Group project for the WorldQuant University module, risk management.
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).
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
code-of-conduct
Open Source Code of Conduct at Twitter
deep_momentum_networks
đźš‚đź’¨ Deep Momentum Networks for Time Series Strategies
kelly_code
Code and examples for the project on risk-constrained Kelly gambling
tensorflow
Computation using data flow graphs for scalable machine learning
trading-momentum-transformer
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
hummingbot
Hummingbot: a client for crypto market making
MolecularNotes
My Obsidian Second Brain setup
pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
slow-momentum-fast-reversion
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
dtale
Visualizer for pandas data structures
fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
quantstats
Portfolio analytics for quants, written in Python
tsfresh
Automatic extraction of relevant features from time series: