How Algorithms Knew About the Fujairah STS Surge Before the News Broke

---

📝 Podcast Summary (Episode Description):

In the Persian Gulf crude market, the first signals of a shift never come from headlines — they come from data.

In this debut episode of CrisisPulse, we reveal how algorithmic systems detected a 30% spike in Fujairah STS activity 48 hours before any news outlet reported it.

Using real-time analysis of SGS inspection requests, AIS vessel rerouting, and tank receipt flows, our models identified a silent surge in demand for Heavy Sour Crude — likely from Chinese teapot refineries.

We break down the three hidden footprints that gave it away, explain how you can spot similar signals yourself, and preview how AI is now scanning Telegram and satellite feeds to predict the next Gulf.

For traders who trust data more than press releases — this is your edge.