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Ipython notebooks on various topics
Python API and command line interface for the numer.ai machine learning competition
Modeling high-frequency limit order book dynamics with support vector machines
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Patrick Chang's Masters project supervised by Tim Gebbie and Etienne Pienaar working on a Non-Uniform Fast Fourier Transform for the Malliavin-Mancino estimator.
The project parsed through a data file containing 70 fundamental / momentum attributes (Returns, Volatility, RSI etc) for ~2200 US Equity Tickers and use KNN algorithm to find the nearest neighbor for a given stock and determines its Predicted fundamental ratios (P/E, P/B and P/S). Also generated a 95% confidence range for price using yearly volatility of the equity. Later improvements, as a part of the Data Science capstone project @ General Assembly, took advantage of the Pandas and Gradient Boosted Regression Techniques from Scikit learn.
A backtester and spreadsheet library for security analysis.
An application to automatically buy and sell stocks on a day to day basis.
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
pyalgotrade tailored for Chinese stock market
A simple python trade backtesting tool
Limit Order Book Implemented in Python
Tactical Asset Allocation Advisor
Repository of Python for Finance Cookbook, published by Packt
A collection of design patterns/idioms in Python
This is as a repository for me to keep my Kaggle and Practice with iPython Notebook
Jupyter Notebooks for the Python Data Science Handbook
Python初学者的实践
专注于分享Python在金融领域的应用,欢迎关注微信公众号: Python金融量化 (id:tkfy920)
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
QTPyLib, Pythonic Algorithmic Trading
Learn quantitative finance with this comprehensive lecture series. Adapted from the Quantopian Lecture Series. Uses free sample data.
量化研究-券商金工研报复现
kdb+/q interface library for Wind Quant API.
Python code to aid in Exchange-Traded Funds (ETFs) portfolio rebalancing
Notebooks based on financial machine learning.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Fast and scalable construction of risk parity portfolios
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.