Season 4 Episode 7
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/
Published on 1 week, 2 days ago
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