Descriptions:
Zubair Trabzada walks through a multi-agent AI stock research system he built inside Claude Code, designed to give retail traders the kind of structured analysis typically produced by professional analysts. The system runs 16 commands across five specialized AI agents—technical analysis, fundamental analysis, sentiment, risk assessment, and thesis synthesis—all triggered from a single terminal command. It is explicitly a research tool, not a trading bot, and does not connect to brokerage accounts or execute trades.
In live demos on Nvidia and Tesla, Trabzada shows the tool generating full investment thesis reports that include a thesis score (78/100 for Nvidia), revenue growth figures, net margins, analyst price targets, bull and bear case breakdowns, specific entry zones, stop-loss levels, three profit targets, position sizing guidance, and a risk matrix with probability and impact ratings for each identified threat. The architecture is driven by a skills.md file that defines agent behaviors and orchestration logic within Claude Code’s framework.
The second half of the video serves as a step-by-step installation guide using Visual Studio Code and Claude Code, aimed at users with no prior technical background. The video is a practical reference for developers and traders interested in building agentic financial research workflows on top of Claude Code’s multi-agent capabilities.
📺 Source: Zubair Trabzada | AI Workshop · Published April 12, 2026
🏷️ Format: Hands On Build
