DUCKQUANT / THE QUANT & AI DIRECTORY
2,336 resources, ranked by in-directory PageRank
Explore this resource at its source website for documentation and current information.
News aggregator platform indicating impact on price and market for traders and cryptocurrency enthusiasts
AI-native risk intelligence API for trading agents. Position sizing, risk validation, and system health in one call.
Authors: Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu, Changshui Zhang, Jian Li. The success of large-scale pre-training paradigm, exemplified by Large…
Authors: Alex Kim, Maximilian Muhn, Valeri Nikolaev. We investigate whether large language models (LLMs) can successfully perform financial statement…
Open-book financial QA benchmark of 10,231 questions grounded in public filings; reveals high hallucination rates in frontier LLMs answering from 10-Ks
Combines LLM-generated signals with risk-sensitive reinforcement learning for trading agents.
Systematisation of knowledge on robustness and security failures in LLM financial trading schemes.
Benchmark testing whether LLM agents can trade stocks profitably in real-world markets.
Benchmark for evaluating LLM-based agents on realistic financial decision-making tasks.
Releases a financial LLM, instruction dataset and evaluation benchmark for finance tasks.
Multi-agent reinforcement-learning environment for optimal execution with endogenous liquidity.
Supporting data package for the Portfolio Optimization Book R · 0
godzilla.dev is an open-source C++/Python infrastructure for self-hosted crypto funding rate arbitrage and market making, with ultra low-latency and enterprise…
This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG)…
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results.…
Github -Deep Reinforcement Learning based Trading Agent for Bitcoin
Playing idealized trading games with deep reinforcement learning
very good curated list of notebooks showing deep learning reinforcement learning models. Also contain topics on outlier detections/overbought oversold…
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links…
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is…
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
Public repository by https-deeplearning-ai. Primary language: Jupyter Notebook.
Public repository by https-deeplearning-ai. Primary language: Python.
The first comprehensive textbook on multi-agent reinforcement learning, by Stefano V. Albrecht, Filippos Christianos and Lukas Schäfer (MIT Press, 2024). Free PDF, algorithm code…
By Percy Liang (2025) 11 lectures. The full mathematical foundation of artificial intelligence - from how machines learn to how they play games, make…
An open, large-scale, interactive textbook.
By DeepLearning.AI Join this new short course on Agent Skills, built in partnership with Anthropic and taught by Elie Schoppik. MUST for everyone working…
Code exercises for the MARL Textbook
Lecture slides for the MARL book (www.marl-book.com)
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
This course explores the world of Transformers and Large Language Models (LLMs). You'll learn the evolution of NLP methods, the core components of the…
