Descriptions:
Michael Automates puts GPT-5.5’s built-in browser-use capability through a series of TradingView-focused tests, going beyond generic coding benchmarks to explore whether the model can autonomously analyze live price charts, draw support and resistance lines, and place trade boxes with entry, stop-loss, and take-profit levels. The video demonstrates GPT-5.5 navigating TradingView directly, adjusting chart overlays in real time, and connecting to the signum.money trading bot API on Hyperliquid to automate alert creation and trade execution without manual intervention.
The most experimental segment involves GPT-5.5 fetching transcripts from the last 5–10 videos of crypto YouTube channels—including Crypto Rover and MM Crypto—parsing those transcripts with a Python script, and placing the identified trade signals directly onto TradingView charts. The host verifies one extracted Crypto Rover trade against the actual video content and confirms the AI’s output matches the influencer’s live short position.
Throughout the video, Michael shares the exact prompts he uses at each stage so viewers can replicate the workflows. He is candid about current limitations—GPT-5.5 sometimes enters trades immediately rather than waiting for trend-line rejections, and the influencer-signal pipeline still requires human supervision—while arguing that the browser-use layer is what makes these multi-step automations meaningfully new compared to earlier GPT releases.
📺 Source: Michael Automates · Published May 01, 2026
🏷️ Format: Hands On Build
