Prediction market analysis framework and dataset

What it does

Framework for collecting and analyzing prediction-market data, including a large public Kalshi prediction market dataset. See the source for setup, usage and current status.

Dataset stat Becker Kalshi dataset: 7,682,445 markets; of the 7,314,386 settled markets, 23.9% settled YES and 76.1% NO. Method: count of all markets, then markets with a result grouped by YES/NO, across every markets file in the dataset.

Tools: PythonParquet

Difficulty: intermediate

Platforms: Kalshi · Polymarket

FAQ

What is Prediction market analysis framework and dataset?

Framework for collecting and analyzing prediction-market data, including a large public Kalshi prediction market dataset. It is listed under Data & analytics in this directory.

Does Prediction market analysis framework and dataset work with Kalshi or Polymarket?

According to its source, it works with Kalshi and Polymarket.

What tools or languages does Prediction market analysis framework and dataset use?

The source lists: Python, Parquet.

Who built Prediction market analysis framework and dataset and where is the source?

It was published by Jon-Becker. The public source is at github.com/Jon-Becker/prediction-market-analysis.

How hard is Prediction market analysis framework and dataset to set up?

This directory rates it intermediate (beginner, intermediate or advanced).

How many GitHub stars does Prediction market analysis framework and dataset have?

It had 3,874 GitHub stars as of Oct 13, 2026.

Is Prediction market analysis framework and dataset still maintained?

The repository was last updated on Oct 9, 2026, as checked on Oct 23, 2026. Check the source for current status.