jmaihuire Goto Github PK
Name: Jmaihuire
Type: User
Name: Jmaihuire
Type: User
Code Repository for TensorFlow 1.X Deep Learning Recipes for Artificial Intelligence Applications (v), Published by Packt
2016-17 Module 3, Topics in Quantitative Finance: Machine Learning for Finance
2017-18 Module 3 (Spring), Topics in Quantitative Finance: Machine Learning for Finance
NYU FRE-GY 9713 Active Portfolio Management
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Repo of homework and research code for ECON 525: Advanced Financial Economics
TF-Agents is a library for Reinforcement Learning in TensorFlow
code repository for Udacity nanodegree Artificial Intelligence for Trading
Artificial Intelligence for Trading
Udacity AI for Trading programme. Using AI to generate signals for Risk-Factor models in quantitative trading
combine signals on a random forest for enhanced alpha
Udacity - AI for Trading Nanodegree - Term 2 - Project 7: Combining Signals for Enhanced Alpha
Supplemental Material for Algorithmic Trading and Quantitative Strategies
The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course implements volatility and price forecasting models, asset pricing and factor models, and portfolio optimization. The course will apply machine learning techniques, such as backtesting (cross-validation) and parameter regularization (shrinkage).
Jupyter notebook containing a backtested systematic trading strategy written in Python.
An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implement APT model, BARRA's risk model and dynamic multi-factor model in this project.
The Valuation of Convertible Bonds with Credit Risk (for Honours in Advanced Mathematics of Finance research project, at the University of the Witwatersrand)
Content for Udacity's AI in Trading NanoDegree.
create assetPricing2
Codes for Empirical Stock Analysis: A comparative Analyses between CAPM and Machine Learning Algorithms
🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.
A curated list for understanding bitcoin using quantitative methods
An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.
A risk evaluation program that follows BARRA's CNE6 and USE4 risk model to predict the risk and distribution of factors in a portfolio. Created by Rosemary He Sept. 2019, under Zhiqiang Zhang.
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.