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: https://t.co/5xKqKTR60h
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.
https://t.co/5xKqKTR60h
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 >>> https://t.co/fejKmK25m7
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: https://t.co/LhTfUZRMOB
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: https://t.co/p9STlBKQwD
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: https://t.co/A8sOjiw0AR
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: https://t.co/2hWctK5flh
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: https://t.co/2hWctK5flh
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: https://t.co/Tv3mmnGDuI
#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.
https://t.co/k5Lt5Fgb53
New course starting 7/6: Machine Learning for Trading: Foundations w/ Stefan Jansen.
Based on the upcoming Machine Learning for Trading, 3rd Edition, learn the complete ML4T workflow and build an end-to-end machine learning trading strategy from scratch.
https://t.co/5xKqKTR60h
Join us next Tuesday, 6/9, for a live presentation by Stephan Sturm (WPI) on Passive Fragility, a live presentation on passive investing, market structure, and volatility in U.S. equities.
RSVP: https://t.co/2hWctK5flh
Tom Sosnoff joined Esfandiar Haghverdi for a wide-ranging discussion on AI, entrepreneurship, options trading, wealth inequality, risk management, career optimization, and the future of finance.
Watch the full interview: https://t.co/Kd3jWVwnwe
Investing isn’t just about what you buy; it’s also about how you size your positions.
This conversation between Prof Esfan Haghverdi & Victor Haghani explores why some fortunes disappear, and how risk + sizing often matter more than people realize.
https://t.co/ZvArjcv83u
Nicole Koenigstein explores the shift from static scripts to adaptive, autonomous systems and what organisational readiness looks like for financial institutions preparing to integrate agentic AI into their infrastructure.
▶️ Watch the replay: https://t.co/VQ753NnCRh
In his upcoming talk, Passive Fragility, Stephan Sturm (WPI) will discuss a new model of the U.S. equity market that incorporates passive share, developed with Michael Green & Hari P. Krishnan, and its implications for volatility and market behavior.
https://t.co/2hWctK5flh
Learn the basics of algorithmic development and walk through an example strategy in Benjamin George's "Theory to Practice" series.
Watch the full series on YouTube: https://t.co/0pw03tqWu6
#finance#trading#algotrading#tradingstrategy
Dr. Eghbal Rahimikia shares his research on large language models (LLMs) in finance and his work developing foundation models for time series forecasting.
Watch the replay > https://t.co/SXVICxWe0s
#llms#finance
Professor Esfan and author J. Doyne Farmer explore complexity economics and Doyne's book "Making Sense of Chaos" in this insightful discussion on reshaping economic thinking through agent-based modeling and market ecology.
Full video here > https://t.co/JsRnaAPDhj
Validate your expertise in quantitative finance and showcase your credentials on LinkedIn with Quantopian’s certification exams.
Available on the Quantopian Community: https://t.co/sgs1ddqOu8