Inspiration

To learn new analytical tools that use AI

What it does

Uses hex-a-thons Kalshi market dataset to analyze one year worth of data to understand company's current standing in LLM competition based on the closing price and the growth for one year duration. Next price and growth prediction for these companies is done for 5 years in the future by standardizing the variables and using linear regression.

How we built it

Kalshi market data source is invoked and analyzed using Hex's semantic model tool and queries. One year data provided in the hackathon is analyzed using the AI features in Hex analytics especially the notebook agent and its chat interface to build complex and database agnostic SQLs. Also this analysis uses charting tool to represent data graphically. Further thread tool is used to model and predict future 5 years market growth and price to determine which company will be the top LLM provider.

Challenges we ran into

Understanding the Hex tools UI required some learning curve but with the great documentation by Hex the challenge was overcome.

Accomplishments that we're proud of

We have accommodated use of most of the features provided by Hex to complete this project/app.

What we learned

Learned how Hex is simplifying the complex analytics requirements by various businesses. Also learned how Hex's AI improves the analytics efficiency providing low or no code tools.

What's next for Predict the top LLM company

Increase the sample source data volume and model using Hex to see if Hex is consistent and efficient for larger data volumes. Also come u with a back testing techniques.

Built With

  • hex
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