Using Claude Opus 4.5 to query time-series data.

I have GBs of time-series data in a TimescaleDB database. It’s more complicated than this, but the gist is: I use natural language to ask questions about relationships in the data, Claude Opus 4.5 generates queries, and it finds patterns.

For example, I classify tens of thousands of news articles using different classification models. Then I ask Claude to write a query that tests for statistically significant changes in the time-series data at specific intervals after a given classification of article—and it finds patterns.

It passes train / test split validation. It will train on 2 years of data (2023 and 2024) and being able to effectively predict movements on the time series data using the classified news articles on the last year of data (2025).