awesome-ai-in-finance and awesome-deep-trading
These are complementary curated resources that serve different emphases within algorithmic trading—one focusing on LLM and deep learning applications in finance, the other on machine learning approaches to trading systems—so practitioners would reference both to build a comprehensive toolkit rather than choosing one.
About awesome-ai-in-finance
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
This resource helps financial professionals and quantitative traders navigate the rapidly evolving landscape of AI in finance. It provides a curated collection of cutting-edge research, tools, and strategies utilizing large language models and deep learning, aimed at enhancing automated trading and market analysis. Users can explore a wide range of AI applications to develop more intelligent and effective financial decision-making processes.
About awesome-deep-trading
cbailes/awesome-deep-trading
List of awesome resources for machine learning-based algorithmic trading
This is a curated list of research papers, code repositories, and educational materials focused on applying AI, deep learning, and machine learning to algorithmic trading. It helps quantitative traders, financial data scientists, and researchers explore existing methods and build their own automated trading strategies. You can find studies on various techniques like reinforcement learning and convolutional neural networks applied to high-frequency, portfolio, and cryptocurrency trading.
Scores updated daily from GitHub, PyPI, and npm data. How scores work