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Notebooks from google-colab
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
A constant proportion portfolio insurance (CPPI) trading algorithm on top of Alpaca's Trading API.
Build Your Own A.I. Investor Book on Gumroad
Data Science Feature Engineering and Selection Tutorials
This github repository contains the code to the case studies in the O'Reilly book Machine Learning and Data Science Blueprints for Finance
Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
Advances in Financial Machine Learning
Hands-On Machine Learning for Algorithmic Trading, published by Packt
testing
πThis repo describes a framework that leverages sentiment stability of a financial 10-K report as the trading signal (alpha factor)
Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio management and optimization.
AlphaWaveData delivers APIs for financial data analysis.
Understand of the fundamentals of digital signal processing for Machine Learning/Deep Learning applications.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
:chart_with_upwards_trend: An organized way to develop and test quantitative trading strategies
Simples website com html e css
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.