All About AI

Agentic AI Trading For Beginners: A New Money Making Era Is Here

The video walks beginners through building an agentic AI trading system, primarily on the Hyperliquid and Polymarket platforms, and explains why crypto markets provide a low‑friction entry point. It emphasizes the need for reliable market data, showing how to pull historical and real‑time feeds via platform APIs and public datasets before feeding them into a hybrid AI pipeline. The creator proposes a two‑stage model: a large‑language model such as Codex or Claude designs a profit‑targeted strategy, while an autonomous agent continuously monitors and adjusts positions. Risk tolerance is tied to account size, with examples ranging from a $10 test trade to larger, higher‑risk goals. The workflow includes a beginner.md configuration file, automated code generation, and a live $10 Bitcoin long that executes in seconds. During the demo, the system back‑tests recent candle, order‑book, and funding data, revealing a bearish bias. Initial results show a 5‑minute trend model performing better on short trades, prompting the AI to generate three short‑oriented hypotheses for the day’s $10 target. The presenter highlights the rapid prototyping capability, from data ingestion to order placement, all orchestrated by the AI. The tutorial illustrates how retail traders can experiment with sophisticated AI‑driven strategies without deep programming expertise, turning side‑hustle ideas into actionable trades. However, the creator cautions that back‑tested performance does not guarantee profits, underscoring the importance of risk controls and continuous model validation.