Skip to content

Latest commit

 

History

History
202 lines (175 loc) · 24.6 KB

README.md

File metadata and controls

202 lines (175 loc) · 24.6 KB

awesome-deep-trading

Awesome

List of code, papers, and resources for AI/deep learning/machine learning/neural networks applied to algorithmic trading.

Open access: all rights granted for use and re-use of any kind, by anyone, at no cost, under your choice of either the free MIT License or Creative Commons CC-BY International Public License.

© 2021 Craig Bailes (@cbailes | Patreon | [email protected])

Contents

Papers

Meta Analyses & Systematic Reviews

Convolutional Neural Networks (CNNs)

Long Short-Term Memory (LSTMs)

Generative Adversarial Networks (GANs)

High Frequency

Portfolio

Reinforcement Learning

Guides

Vulnerabilities

Cryptocurrency

Social Processing

Behavioral Analysis

Sentiment Analysis

Repositories

Generative Adversarial Networks (GANs)

Cryptocurrency

Datasets

Simulation

Resources

Presentations

Courses

Meetups

Further Reading