Early-bird pricing for Machine Learning for Trading: Foundations ends today (June 17). Save 10% with code ML4T-ERLYBRD26 for the first 20 full-price registrations. Learn more and enroll: community.quantopian.com/c/m…

New: A live competition for Machine Learning for Trading: Foundations. During the second half of the course, students can submit portfolio allocations & evaluate their strategies on unseen market data. 🏆 The top performer will receive a tuition refund. community.quantopian.com/c/m…

Author Edgar Peters discusses fractal market analysis, chaos theory, volatility regimes, Hurst exponents, and the relationship between market behavior, risk, and prediction in this Quantopian Book Conversation. Watch here >>> youtu.be/mjhp2uEBzS8

In this Quantopian Book Conversation, Alejandro Rodriguez Domínguez introduces a framework for causal portfolio optimization, combining control theory, PDEs, and quantum-inspired computation to improve robustness in dynamic markets. Full conversation: youtu.be/63ZI4bzfiT4

Explore the latest techniques for building market-aware agents, leveraging reinforcement learning to deliver trading optimization. Watch Irene Aldridge’s presentation, Agentic AI in Trading: The Evolution of Trading Bots. Full talk: youtu.be/g1GbmCr9MSc

Now on June 30th: Bryan Routledge will explore how Bitcoin ownership has shifted from holding private keys to holding financial claims through ETFs, exchanges, brokers, and treasury companies. RSVP: community.quantopian.com/c/l…

Starting in 1 hour (7:30 PM ET) ⏰ Join Stephan Sturm (WPI) for Passive Fragility, a live presentation examining a model of the US equity market that incorporates passive share. Join the conversation: community.quantopian.com/c/l…

Join Stephan Sturm (WPI) tomorrow, 6/9, for Passive Fragility, a live presentation examining a model of the US equity market that incorporates passive share. RSVP: community.quantopian.com/c/l…

What happens when AI enters the quant toolkit? Prof. Esfan Haghverdi and Dr. Alejandro Lopez-Lira (The Predictive Edge) break down how LLMs forecast markets and shape the future of quant investing. Full conversation: youtu.be/z9AEa-MNrU0 #AI #Finance #Quant #LLMs

Explore seven common pitfalls in financial machine learning. In this webinar recording, author Marcos López de Prado discusses how issues in data structuring, labeling, cross-validation, and backtest overfitting impact financial ML. youtu.be/FJYgrkVbpEE