ai-trading
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The Quiet Machine Behind the Trade: Quod Financial Sells Control in a Market Built on Fragments
Quod Financial has spent two decades turning the messy mechanics of institutional trading into configurable software. Its wager is simple: the winning platform is not the one that does everything to you, but the one that lets you change everything without stopping the desk.
Sergey Savastiouk
Sergey Savastiouk, Ph.D., is the founder and CEO of Tickeron, a Reno-based platform that pairs artificial intelligence with plain-language explanation to give self-directed investors and advisors trading signals, pattern recognition, and automated 'AI robots.' A former applied-mathematics professor at Santa Clara University with two prior startups behind him, he turned the losses of the 2008 crisis into a mission to hand retail investors the kind of algorithmic tools once reserved for institutions.
Tickeron
Tickeron is an AI-driven financial marketplace that packages quantitative research into automated trading tools for retail and professional investors. Founded by PhD mathematicians, it builds pattern-recognition engines, trend-prediction models, and a growing fleet of AI trading robots powered by its proprietary Financial Learning Models (FLMs). The pitch: compress thousands of hours of investment research into minutes, and let non-experts trade on statistical probabilities instead of gut feel.