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List of awesome resources for machine learning-based algorithmic trading
| Date | Stars |
|---|---|
| 2026-07-31 | 2015 |
| 2026-08-03 | 2017 |
| 2026-08-06 | 2019 |
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# awesome-deep-trading [](https://github.com/sindresorhus/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](https://github.com/cbailes) | [Patreon](https://www.patreon.com/craigbailes) | [[email protected]](mailto:[email protected])) # Contents - [Papers](#papers) * [Meta Analyses & Systematic Reviews](#meta-analyses--systematic-reviews) * [Convolutional Neural Networks (CNNs)](#convolutional-neural-networks-cnns) * [Long Short-Term Memory (LSTMs)](#long-short-term-memory-lstms) * [Generative Adversarial Networks (GANs)](#generative-adversarial-networks-gans) * [High Frequency](#high-frequency) * [Portfolio](#portfolio) * [Reinforcement Learning](#reinforcement-learning) * [Vulnerabilities](#vulnerabilities) * [Cryptocurrency](#cryptocurrency) * [Social Processing](#social-processing) + [Behavioral Analysis](#behavioral-analysis) + [Sentiment Analysis](#sentiment-analysis) - [Repositories](#repositories) * [Generative Adversarial Networks (GANs)](#generative-adversarial-networks-gans-1) * [Guides](#guides) * [Cryptocurrency](#cryptocurrency-1) * [Datasets](#datasets) + [Simulation](#simulation) - [Resources](#resources) * [Presentations](#presentations) * [Courses](#courses) * [Further Reading](#further-reading) # Papers * [Classification-based Financial Markets Prediction using Deep Neural Networks](https://arxiv.org/pdf/1603.08604) - Matthew Dixon, Diego Klabjan, Jin Hoon Bang (2016) * [Deep Learning for Limit Order Books](https://arxiv.org/pdf/1601.01987) - Justin Sirignano (2016) * [High-Frequency Trading Strategy Based on Deep Neural Networks](https://link.springer.com/chapter/10.1007%2F978-3-319-42297-8_40) - Andrés Arévalo, Jaime Niño, German Hernández, Javier Sandoval (2016) * [A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem](https://arxiv.org/pdf/1706.10059) - Zhengyao Jiang, Dixing Xu, Jinjun Liang (2017) * [Agent Inspired Trading Using Recurrent Reinforcement Learning and LSTM Neural Networks](https://arxiv.org/pdf/1707.07338.pdf) - David W. Lu (2017) * [Deep Hedging](https://arxiv.org/pdf/1802.03042) - Hans Bühler, Lukas Gonon, Josef Teichmann, Ben Wood (2018) * [Stock Trading Bot Using Deep Reinforcement Learning](https://link.springer.com/chapter/10.1007/978-981-10-8201-6_5) - Akhil Raj Azhikodan, Anvitha G. K. Bhat, Mamatha V. Jadhav (2018) * [Financial Trading as a Game: A Deep Reinforcement Learning Approach](https://arxiv.org/pdf/1807.02787) - Chien Yi Huang (2018) * [Practical Deep Reinforcement Learning Approach for Stock Trading](https://arxiv.org/pdf/1811.07522) - Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid (2018) * [Algorithmic Trading and Machine Learning Based on GPU](http://ceur-ws.org/Vol-2147/p09.pdf) - Mantas Vaitonis, Saulius Masteika, Konstantinas Korovkinas (2018) * [A quantitative trading method using deep convolution neural network ](https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042018/pdf) - HaiBo Chen, DaoLei Liang, LL Zhao (2019) * [Deep learning in exchange markets](https://www.sciencedirect.com/science/article/pii/S0167624518300702) - Rui Gonçalves, Vitor Miguel Ribeiro, Fernando Lobo Pereira, Ana Paula Rocha (2019) * [Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks](https://arxiv.org/abs/1903.04610) - Omer Berat Sezer, Ahmet Murat Ozbayoglu (2019) * [Deep Reinforcement Learning for Financial Trading Using Price Trailing](https://ieeexplore.ieee.org/document/8683161) - Konstantinos Sai
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matched fp:8d7c631f533c0fca, llm:Repository description and README: 'List of awesome resources for machine learning-based algorithmic trading', topics include deep-learning, deep-reinforcement-learning, machine-learning, quantitative-trading, trading-bot, cryptocurrency, stock-trading.
matched fp:8d7c631f533c0fca, llm:Repository description and README: 'List of awesome resources for machine learning-based algorithmic trading', topics include deep-learning, deep-reinforcement-learning, machine-learning, quantitative-trading, trading-bot, cryptocurrency, stock-trading.
matched fp:8d7c631f533c0fca, llm:Repository description and README: 'List of awesome resources for machine learning-based algorithmic trading', topics include deep-learning, deep-reinforcement-learning, machine-learning, quantitative-trading, trading-bot, cryptocurrency, stock-trading.