DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Oxford research institute working on machine learning and quantitative finance.
Tuition-free, accredited online master's degree in financial engineering.
Amazon.com: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition: 9780387848570: Hastie, Trevor, Tibshirani, Robert, Friedman, Jerome: Books
Graduate-level course on quantitative trading strategy design and implementation.
Comprehensive book list from PyQuant Newsletter.
Systematic quantitative investment manager running machine-learning-driven trading programmes.
Investment manager whose strategies are built on machine-learning research.
Lakehouse platform marketed for financial-services machine-learning and analytics workloads.
Open-source feature store for managing and serving machine-learning features in production.
Stock Trading Bot using Deep Q-Learning
MIT OpenCourseWare course on the analytical and computational methods behind finance.
Specialisation teaching how to apply machine learning to trading strategy development.
Archived collection of around 500 Quantopian research notebooks on quant and ML strategies.
Blog and courses on systematic trading, quantitative research and machine learning.
We believe in the power of equity. We help companies, investors, and employees manage their equity—and help everyone learn how it works
The Little Book of Common Sense Investing: The Only Way to Guarantee Your Fair Share of Stock Market Returns (Little Books. Big Profits) :…
Achat et vente en ligne parmi des millions de produits en stock. Livraison gratuite à partir de 25€. Vos articles à petits prix :…
Why help aspiring traders? How can an institutional quant trader working with sizable assets & first class infrastructure help retail traders and quants? What…
Data Mining, Inference, and Prediction
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming.…
Master reading list for Quants, MFE (Financial Engineering) students | QuantNet Community
Explore this resource at its source website for documentation and current information.
Explore this resource at its source website for documentation and current information.
The official website for the Julia Language. Julia is a language that is fast, dynamic, easy to use, and open source. Click here to…
Offered by Rice University. Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is ... Enroll for free.
Chinese reproduction of sell-side quantitative research reports covering factor and strategy research.
List of awesome resources for machine learning-based algorithmic trading
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger…
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow.
Using deep actor-critic model to learn best strategies in pair trading
predecessor to uses open api and neat way to render matplotlib plots in real time. Also explains LSTM/data stationarity/Bayesian optimization using etc
Unified REST API for prediction market and crypto derivatives data: batch and real-time trades, order books, and volatility surface across Kalshi, Polymarket…
A technology podcast, from Jane Street. Get a peek at how Jane Street approaches technology, and how those ideas relate to the tech landscape…
Two Sigma is a financial sciences company. Our scientists use rigorous inquiry, data analysis, and invention to solve tough challenges across financial services -…
The D. E. Shaw Group has 22 repositories available. Follow their code on GitHub.
Man Group has 61 repositories available. Follow their code on GitHub.
