What it does
Read-only recorder that runs continuously on GitHub Actions, saving hourly snapshots of Polymarket markets ending within 45 days, their order books and taker trades, plus minute-level books and trades for markets with the largest liquidity-reward pools, as gzipped JSON bundles. Uses public Gamma, CLOB and Data API endpoints; no trading. See the source for setup, usage and current status.
Tools: PythonGitHub ActionsPolymarket Gamma API+1
Difficulty: intermediate
Platforms: Polymarket
FAQ
What is pm-recorder: Polymarket market data recorder on GitHub Actions?
Read-only recorder that runs continuously on GitHub Actions, saving hourly snapshots of Polymarket markets ending within 45 days, their order books and taker trades, plus minute-level books and trades for markets with the largest liquidity-reward pools, as gzipped JSON bundles. Uses public Gamma, CLOB and Data API endpoints; no trading. It is listed under Data & analytics in this directory.
Does pm-recorder: Polymarket market data recorder on GitHub Actions work with Kalshi or Polymarket?
According to its source, it works with Polymarket.
What tools or languages does pm-recorder: Polymarket market data recorder on GitHub Actions use?
The source lists: Python, GitHub Actions, Polymarket Gamma API, CLOB API.
Who built pm-recorder: Polymarket market data recorder on GitHub Actions and where is the source?
It was published by jonasf0x. The public source is at github.com/jonasf0x/pm-recorder.
How hard is pm-recorder: Polymarket market data recorder on GitHub Actions to set up?
This directory rates it intermediate (beginner, intermediate or advanced).
How many GitHub stars does pm-recorder: Polymarket market data recorder on GitHub Actions have?
It had 0 GitHub stars as of Oct 21, 2026.
Is pm-recorder: Polymarket market data recorder on GitHub Actions still maintained?
The repository was last updated on Oct 21, 2026, as checked on Oct 23, 2026. Check the source for current status.
Data & analyticsKalshiPolymarket
Framework for collecting and analyzing prediction-market data, including a large public Kalshi prediction market dataset.
Dataset stat Becker Kalshi dataset: 7.68M markets; 23.9% of settled markets resolved YES. Method on detail page.
PythonParquet
Data & analyticsPolymarket
Scripts to collect Polymarket market and trade data for analysis.
Python
Data & analyticsKalshi
Student research notebook (Rennes School of Business graduating project) that compares the probability distribution implied by SPXW and NDX option prices, using a fitted SVI smile, with the distribution quoted by Kalshi's S&P 500 and Nasdaq-100 range contracts for the same expiry. Uses Yahoo Finance option data and the Kalshi public API, with a saved snapshot in the repo. Findings are self-reported and based on a single snapshot.
PythonJupyterSVI volatility fit+2