Most retail traders don’t realize they’re battling algorithms that execute 70–80% of all market activity. Robert Grzesik reveals how Bot Spot turns plain-English instructions into actual Python trading bots capable of running on real brokerages. The discussion digs into AI-assisted backtesting, strategy optimization, and agentic systems that can research news or sentiment before placing trades. A new marketplace for user-built algorithms hints at a future where anyone can publish or refine automated strategies. What emerges is a clear view of algorithmic trading becoming not just more powerful—but radically more accessible. 00:00 — The Problem: Retail Traders vs. Automated Markets 03:20 — Why Algorithmic Trading Is Hard for Individuals 06:45 — The Inspiration Behind Bot Spot 10:12 — Building Trading Bots with Natural Language 14:30 — Backtesting, Deployment, and Real-World Execution 18:55 — AI Research Agents & Agentic Trading Systems 22:40 — Crypto, DeFi, and Expanding Beyond Traditional Markets 26:05 — LumiBot Origins and the Path to Bot Spot 31:10 — Marketplace for User-Built Trading Algorithms 36:20 — The Future of Finance: Fully Autonomous AI Investing https://www.botspot.trade/ https://www.linkedin.com/in/robertgrzesik/
