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Name: Bernd Wuebben
Type: User
Company: AllianceBernstein
Bio: Systematic Investing, Machine Learning, Mathematics, Computer Science, Asset Pricing Theory, Portfolio Management
Location: New York City
Name: Bernd Wuebben
Type: User
Company: AllianceBernstein
Bio: Systematic Investing, Machine Learning, Mathematics, Computer Science, Asset Pricing Theory, Portfolio Management
Location: New York City
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
I tried to solve the questions in 'Advances in Financial Machine Learning' by Lopez de Prado. Many are cloned from other gits.
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Performance analysis of predictive (alpha) stock factors
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Bitcoin Core integration/staging tree
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
Implementation of the Black-Litterman model for incorporating beliefs about the market into portfolio weight allocation
Code from my progress through the book Mastering Pandas for Finance
:books: Books worth reading
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
capstone project with Professor Gordon Ritter _ Black Litterman
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
classification sample code using Keras
Fair job scheduler on Mesos for batch workloads and Spark
A Python-embedded modeling language for convex optimization problems.
All the slides, accompanying code and exercises all stored in this repo. 🎈
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
Deep Learning Tutorial notes and code. See the wiki for more info.
Reinforcement Learning with Goals
Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
Deep Learning Statistical Arbitrage
A list of online resources for quantitative modeling, trading, portfolio management
Common financial risk and performance metrics. Used by zipline and pyfolio.
Web scraper that stores fundamental stock data, analyst estimates, and earnings surprises as .pkl and/or .csv
Robo Advisor with Black-Litterman
Advances in Financial Machine Learning
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.