milkwoodsf Goto Github PK
Type: User
Location: Chicago, IL
Type: User
Location: Chicago, IL
Here you can find all the quantitative finance algorithms that I've worked on over the past year!
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
Collection of notebooks about quantitative finance, with interactive python code.
Python applications to financial markets
Demo application for the 'Jenkins: The Definitive Guide' book
An Intuitive Tutorial to Gaussian Processes Regression
View the exposures of four option greeks—delta, gamma, vanna, and charm—for stocks & indexes
Goldman Sachs - Quantitative Strategies Research Notes
TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
Python tutorial on machine learning with time series for DSSGx 2020
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Simple RSI Bot that uses Kelly Criterion to optimize allocation
This project contains an implementation of many Machine Learning algorithms from scratch
Machine Learning in Asset Management (by @firmai)
A resource for learning about Machine learning & Deep Learning
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 for Machine Learning for Algorithmic Trading, 2nd edition.
Skillset Challenge for the Apprenticeship Program
Markov Chain overview and their implementations in Finance
Personal Website
Code and data for my blogs
Investment Research for Everyone, Everywhere.
We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
Small project for rebalancing an investment portfolio by allocating funds to realize specified targets
PRML algorithms implemented in Python
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.