Beating the Machines: How Bot Spot Levels the Playing Field Against Hedge Funds ft. Robert Grzesik

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 Markets03:20 — Why Algorithmic Trading Is Hard for Individuals06:45 — The Inspiration Behind Bot Spot10:12 — Building Trading Bots with Natural Language14:30 — Backtesting, Deployment, and Real-World Execution18:55 — AI Research Agents & Agentic Trading Systems22:40 — Crypto, DeFi, and Expanding Beyond Traditional Markets26:05 — LumiBot Origins and the Path to Bot Spot31:10 — Marketplace for User-Built Trading Algorithms36:20 — The Future of Finance: Fully Autonomous AI Investinghttps://www.botspot.trade/https://www.linkedin.com/in/robertgrzesik/

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