Leonard 0x3AS retweetledi
Deep trading research is noisy. This repo gives you a map.
awesome-deep-trading is a curated GitHub list of code, papers, and resources for AI, deep learning, machine learning, and neural networks applied to algorithmic trading.
It helps you move past random blog hopping by grouping papers, repositories, datasets, courses, presentations, and further reading around the main modeling directions.
Key features:
• Research-first structure – papers are grouped across CNNs, LSTMs, GANs, high-frequency trading, portfolio methods, reinforcement learning, crypto, and sentiment/social processing
• Code paths included – repository links point to trading gyms, forecasting notebooks, RL agents, portfolio projects, and crypto trading examples
• Data sources section – includes dataset/API pointers like Kaggle market data, Alpha Vantage, and Quandl
• Learning resources – presentations, courses, meetups, and further reading help you build context before implementation
• Scan-friendly awesome-list format – contents and category headings make it easier to jump to the part of the stack you care about
It’s open access under MIT or CC-BY.
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