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Name: Jeffson Miller
Type: User
Bio: Apart from academics, I am also an avid sports enthusiast. I love to play basketball, football, and tennis in my free time.
Name: Jeffson Miller
Type: User
Bio: Apart from academics, I am also an avid sports enthusiast. I love to play basketball, football, and tennis in my free time.
ga_featureSelection 发动机锻造件一些常用用法
factor return calculation, mean-variance / Black&Litterman portfolio optimization, risk decomposition
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Advances in Financial Machine Learning by Marcos Lopez De Prado
AFML Solutions for selected exercises from 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
Lecturenotes for the Book Advanced Algorithm Trading
Notes on Advances in Financial Machine Learning
Here I am collecting the scripts I have used to prepare my book "Adventures in Financial Data Science" and to support my other writing, such as that on Medium. Those for the book are mostly originally written for the RATS time-series analysis system, which is commercial software, so I have begun porting the code to Python Notebooks written for Google's colab https://colab.research.google.com. This is mostly what I will post here. The figures for the book will be generated by notebooks titled "Section n.n.n Section Title" etc.
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
App to test strategies based on artificial intelligence for investing in the stock market.
Use unsupervised and supervised learning to predict stocks
ROBLOX Script - Universal Aimbot Script Remake
Asynchronous event I/O driven quantitative trading framework.
copy_to_huangtao
Manning Live Project - Algorithmic Trading with Machine Learning
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
101 alpha factors calculate based on Alpha101
mlfinlab test demo
basic usage of Alphalen
Recurrent Neural Network for predicting Stock Returns
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
alpha101, alpha191, alphalens, backtrader, 量化研究
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.
AmazingQuant——为交易而生的智能投研Lab。包含策略组合研究服务、量化数据服务、指标计算服务、绩效分析服务四大功能模块。
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.