Everyone is talking about using AI to build trading strategies. Few are talking about how to determine whether those strategies actually work.
AI is transforming quantitative finance. Research and development tasks that once required substantial time and specialized resources can now be accelerated with AI and agentic workflows. But identifying strategies that hold up under real market conditions still requires expertise, rigorous testing, and disciplined research.
Join AI Velocity Trading at Portugal Tech Week for a behind-the-scenes look at how we're using AI to develop, test, optimize, and monitor systematic trading strategies.
We'll walk through our research process, from generating ideas and identifying statistical patterns to backtesting, optimization, paper trading, and ongoing performance analysis. Using real strategies developed by our team, we'll explore where AI can meaningfully accelerate quantitative research, where human expertise remains essential, and why promising backtests don't always translate into successful trading strategies.
We'll also demonstrate how that research becomes a growing library of strategies available through AI Velocity Trading, where users can examine the methodology, review historical results, and test compatible strategies in their own paper trading accounts—without writing code or risking real capital.
Whether you're an AI developer, engineer, fintech founder, quantitative researcher, investor, or trader, you'll gain a practical understanding of how AI-assisted research moves from an initial hypothesis to a testable trading system—and what it takes to evaluate whether a strategy deserves to move forward.
Part of Portugal Tech Week 2026, bringing together innovators, entrepreneurs, and technology professionals across Portugal.
By registering for this event, you agree to the PTW Palace Visitor Terms & Conditions. Your registration data will be processed and shared between Portugal Tech Week and its partners under GDPR for event coordination and community updates.
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More info and registration: https://luma.com/dwuofjy8