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Back to The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi, with Anekha Sokhal.

What Market Data Does Moshi Process for Traders?

Anekha Sokhal says Moshi processes the kinds of market data a trader looks at to decide what trade to put on and how to manage the risk. Structured data is the futures time series, the technical indicators, and the moving averages, and that set updates constantly. Fundamentals add demand and supply, especially in commodity markets. Unstructured data is the news, posts on X, and audio from podcasts. Private data is the user's own: the analysts they already follow, the subscriptions they pay for, and internal figures such as how many LNG ships are going through the Strait of Hormuz.

In the four seconds it takes her to say a sentence, Moshi has learned 300 new things. The company cleans those streams, tags them, builds an ontology, and puts them in an n-dimensional graph. Opening Moshi is supposed to show something new about the portfolio. A question that would take days comes back in 30 seconds.

Transcript

The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi ·

Latent Space: The AI Engineer Podcast

More from this episode

  1. How Does an AI Recommendation Engine Help Commodity Traders?Anekha Sokhal says Moshi's recommendation system is for a trader who is looking at one thing and still needs the second and third order derivatives they would…
  2. How Should AI Fit Into a Commodity Trader's Workflow?Anekha Sokhal says getting someone new to take a tool into their workflow is not the same problem as building the tool.
  3. How Does Moshi's Confidence Score Work?Anekha Sokhal gives a confidence score when a claim is shown to someone: one person is saying one thing, and the score also covers everything else happening…
  4. Why Is Moshi Hosting Its First Webinar?Anekha Sokhal says Moshi is hosting its first webinar because inbound demand is too heavy to cover with one-to-one meetings alone.

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