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Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Generate various Alternative Bars both historically and at real-time.
Machine learning end-to-end research and trade execution
How to Use Chart.js with Django
Utilities and information for the signals.numer.ai tournament
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
A news aggregator in python, that focuses primarily on business and market news sources.
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
:house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!
A set of simple tools to assist users of the Interactive Brokers API.
A python packaged used to interact with the Interactive Brokers REST API.
A python application used to interact with the Interactive Brokers REST API.
Machine learning strategy that trains the model using "everything and the kitchen sink": fundamentals, technical indicators, returns, price levels, volume and volatility spikes, liquidity, market breadth, and more. Runs in Moonshot. Utilizes data from Sharadar and IB.
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Code base for the meta-labeling papers published with the Journal of Financial Data Science
Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prado.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Repository for Numer.ai guides
Create and modify PDF documents in any JavaScript environment
A python application, that demonstrates optimizing a portfolio using machine learning.
Next.js recently became the official React framework as outlined in React docs. In this course, you'll learn the most important Next.js concepts and how they fit into the React ecosystem. Finally, you'll put your skills to the test by building a modern full-stack Next 13 application.
A Python API client used to pull and retrieve data from the US Bureau of Economic Analysis
Python Feature Engineering Cookbook Second Edition, published by Packt
A guide on how to get up and running with Python, VSCode, Git, & GitHub on Windows.
A simple python library that allows for easy access of the SEC website so that someone can parse filings, collect data, and query documents.
A trading robot, that can submit basic orders in an automated fashion using the TD API.
Contains all the Jupyter Notebooks used in our research.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
In this work an application of the Triple-Barrier Method and Meta-Labeling techniques is explored with XGBoost for the creation of a sentiment-based trading signal on the S&P 500 stock market index. The results confirm that sentiment data have predictive power, but a lot of work is to be carried out prior to implementing a strategy.
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.