gahobbsau
Developing in time series and machine learning for financial trading applications.
Brisbane Australia
Pinned Repositories
180824_PythonTut
VS PYTHON TUTORIAL SOLUTION AND PROJECTS
190904_learning
190904 learning from articles in readme file
adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Adv_Fin_ML
Advances in Financial Machine Learning by Marcos Lopez De Prado
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
assessing-and-improving-prediction-and-classification
Source code for 'Assessing and Improving Prediction and Classification' by Timothy Masters
assessing-improving-predict
Source Code for Assessing and Improving Prediction and Classification by Timothy Masters
backtrader
Python Backtesting library for trading strategies
research
Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.
gahobbsau's Repositories
gahobbsau/research
Answers to the questions at the back of the chapters of Advances in Financial Machine Learning.
gahobbsau/190904_learning
190904 learning from articles in readme file
gahobbsau/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
gahobbsau/backtrader
Python Backtesting library for trading strategies
gahobbsau/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
gahobbsau/cookiecutter-data-science-1
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
gahobbsau/cookiecutter-pypackage
Cookiecutter template for a Python package.
gahobbsau/dawp
Derivatives Analytics with Python (Wiley Finance)
gahobbsau/dircolors-solarized
This is a repository of themes for GNU ls (configured via GNU dircolors) that support Ethan Schoonover’s Solarized color scheme.
gahobbsau/dx
DX Analytics
gahobbsau/ffn
ffn - a financial function library for Python
gahobbsau/Financial-Machine-Learning
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
gahobbsau/fonts
Patched fonts for Powerline users.
gahobbsau/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
gahobbsau/LxRunOffline
A full-featured utility for managing Windows Subsystem for Linux (WSL)
gahobbsau/missingno
Missing data visualization module for Python.
gahobbsau/mixture_model_trading_public
gahobbsau/mlfinlab
Package based on the textbooks: Advances in Financial Machine Learning and Machine Learning for Asset Managers, by Marcos Lopez de Prado.
gahobbsau/oh-my-zsh
🙃 A delightful community-driven (with 1,300+ contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
gahobbsau/pybind11
Seamless operability between C++11 and Python
gahobbsau/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
gahobbsau/pyfolio
Portfolio and risk analytics in Python
gahobbsau/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
gahobbsau/RestAPI
REST API is a web-based API using a Websocket connection. Developers and investors can create custom trading applications, integrate into our platform, back test strategies and build robot trading.
gahobbsau/saxo_openapi
The saxo_openapi package provides easy access to SAXO OpenAPI. Checkout the Jupyter notebooks covering different aspects of the API.
gahobbsau/tpqps
tpqps is a wrapper package for the streaming API of Plotly.
gahobbsau/tsfresh
Automatic extraction of relevant features from time series:
gahobbsau/Windows-Machine-Learning
Samples and Tools for Windows ML.
gahobbsau/xlang
Help developers create APIs that can run on multiple platforms and be used with a variety of languages
gahobbsau/yfinance
Yahoo! Finance market data downloader (+faster Pandas Datareader)