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Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.
This is the code for "AI in Medicine " By Siraj Raval on Youtube
ASX300 Data
Python code for High-frequency trading in a limit order book by Marco Avellaneda and Sasha Stoikov
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Bayesian survival models in PyMC3: Bayesian Mixer London 2017 seminar
Some example code for the "Introduction to Bayesian Reinforcement Learning" presentations
Source code for my personal blog
A header-only C++ library for interacting with crypto exchanges. Binding for Python is provided. A spot market making application is also provided as an end-to-end solution for liquidity providers.
Q-Learning Attempt at Sirajology's CoasterRacer Coding Challenge
Quiz & Assignment of Coursera
We scrape news headlines for FB and TSLA then apply sentiment analysis to generate investment insight.
Automatically exported from code.google.com/p/figtree
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star.
Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.
Experiments with fractional differencing
PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3
Python library for converting Python calculations into rendered latex.
High-frequency trading in a limit order book
A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.
This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube
Code for the Winton Kaggle Challenge
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.
Kdb related
bitstamp real time console based limit order book
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.
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.