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Name: Graham Hobbs
Type: User
Bio: Developing in time series and machine learning for financial trading applications.
Location: Brisbane Australia
Name: Graham Hobbs
Type: User
Bio: Developing in time series and machine learning for financial trading applications.
Location: Brisbane Australia
VS PYTHON TUTORIAL SOLUTION AND PROJECTS
190904 learning from articles in readme file
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Advances in Financial Machine Learning by Marcos Lopez De Prado
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Mostly experiments based on "Advances in financial machine learning" book
Source code for 'Assessing and Improving Prediction and Classification' by Timothy Masters
Source Code for Assessing and Improving Prediction and Classification by Timothy Masters
Python Backtesting library for trading strategies
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter template for a Python package.
C++ to Python converter
Source Code for Data Mining Algorithms in C++ by Timothy Masters
Derivatives Analytics with Python (Wiley Finance)
This is a repository of themes for GNU ls (configured via GNU dircolors) that support Ethan Schoonover’s Solarized color scheme.
DX Analytics
Example code for the book Fluent Python
ffn - a financial function library for Python
Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
Patched fonts for Powerline users.
As described in Advances of Machine Learning by Marcos Prado
FXCM python wrapper
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Listed Volatility and Variance Derivatives (Wiley Finance)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.