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Name: Victor
Type: User
Bio: Quant Trading by Reinforcement Learning & Evolutionary Computation
Location: BeiJing,China
Name: Victor
Type: User
Bio: Quant Trading by Reinforcement Learning & Evolutionary Computation
Location: BeiJing,China
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Reinforcement learning resources curated
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
some books
Code for "Bayesian Online Changepoint Detection" (Adams and MacKay, 2007).
Recurrent Reinforcement Learning
Distributed Evolutionary Algorithms in Python
A list of recent papers regarding deep reinforcement learning
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.
Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.
:books: Freely available programming books
:books: 免费的计算机编程类中文书籍,欢迎投稿
Implementation of finding "trading rules" using genetic programming. Uses OpenBeagle and C++ for implementation.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
Deep Reinforcement Learning for Keras.
Capstone Project for the Machine Learning Nanodegree. Used Deep Q Learning to create an agent that trade stocks.
Models built with TensorFlow
MOSES Machine Learning: "Meta-Optimizing Semantic Evolutionary Search"
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.
quant strategy backtesting from pobo financial
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python Algorithmic Trading Library
pyalgotrade tailored for Chinese stock market
Github fork of Python Neural Genetic Algorithm Hybrids (Pyneurgen)
Classes for experimenting with stock trading
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.