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List of awesome resources for machine learning-based algorithmic trading
Demo of using AWS Glue and SageMaker Debugger
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Deep Direct Recurrent Reinforcement Learning to learn trading system
A deep learning model for Financial Signal Representation and Trading
深度学习论文翻译,包括分类论文,检测论文等
An implementation of Deep Reinforcement Learning agents (DDQN, Dueling, Distributional, A2C, etc.) for stock trading
Hands-on Deep Reinforcement Learning, published by Packt
This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. This paper let us explore the use of deeplearning models for problems in financial prediction and classification. Our goal isto show how applying deep learning methods to these problems can produce betteroutcomes than standard methods in finance or in Machine Learning
Example Order Book Imbalance Algorithm
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
This repository explores several signal processing and machine learning techniques applied in the financial markets.
The implementation of "modeling financial time-series with generative adversarial networks"
starter from "How to Train a GAN?" at NIPS2016
Hedging portfolios with reinforcement learning.
Convolutional Neural Network based on Hierarchical Category Structure for Multi-label Short Text Categorization
Tutorials about Quantitative Finance in Python and QuantLib: Pricing, xVAs, Hedging, Portfolio Optimisation, Machine Learning and Deep Learning
Deep Reinforcement Learning for Keras.
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
Implementing a Generative Adversarial Network on the Stock Market
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
notes about machine learning
testing my setup
Neural Network for HFT-trading [experimental]
trading
Machine Learning Hedge Fond
Extract data from a wide range of Internet sources into a pandas DataFrame.
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.