About Felix Bick: The Analyst Behind the Book

Understanding who wrote How Not to Get Scammed by AI Trading Apps helps explain why the book reads less like a generic warning list and more like a field manual grounded in real operational experience.

Felix Bick is an AI software developer, supply chain strategist, and risk analysis professional with more than twenty-five years of international experience spanning artificial intelligence, global logistics, maritime operations, predictive analytics, and financial markets. That combination — AI development alongside hands-on risk analysis — shows up throughout the book’s approach, which consistently favors mechanical explanation over vague warning.

Bick’s career has centered on applying data-driven technologies to complex operational and investment challenges, with expertise spanning AI-powered optimization, algorithmic trading systems, supply chain risk management, and predictive analytics. Since 2018, he has focused specifically on developing AI-driven trading algorithms and analytical software for cryptocurrency markets, work that emphasizes responsible application of artificial intelligence to market analysis, automation, and risk management alongside disciplined investment practices.

Before his work in financial technology, Bick held senior positions with Li & Fung Limited in Hong Kong and Shanghai, leading initiatives in AI integration, demand forecasting, inventory optimization, and multinational supply chain management. He also served as a Maritime Risk Analyst with M. M. Warburg & Co., assessing transportation risks and developing mitigation strategies for international trade and investment — a background in structured, methodical risk assessment that clearly informs the book’s systematic approach to evaluating investment claims.

This trajectory — from supply chain risk analysis to maritime risk assessment to AI-driven trading algorithm development — gives Bick a genuinely unusual vantage point on the AI trading fraud landscape. He isn’t approaching the topic purely as a consumer advocate or purely as a technologist; he’s writing as someone who has spent decades building the kinds of predictive and analytical systems that legitimate finance actually relies on, which sharpens his ability to identify where fraudulent platforms fall short.

In How Not to Get Scammed by AI Trading Apps, Bick channels this practical, analytical background directly into helping readers recognize common investment scams, critically evaluate AI-related claims, and navigate online investing with greater confidence and caution — expertise earned, not simply asserted.