Sponsor this directory: one slot per week. Details
Get the weekly digest
Data & analyticsPolymarket

poly_data Polymarket data pipeline

Scripts to collect Polymarket market and trade data for analysis.

Last updated · source link verified

What it does

Scripts to collect Polymarket market and trade data for analysis. See the source for setup, usage and current status.

Tools: Python

Difficulty: intermediate

Platforms: Polymarket

FAQ

What is poly_data Polymarket data pipeline?

Scripts to collect Polymarket market and trade data for analysis. It is listed under Data & analytics in this directory.

Does poly_data Polymarket data pipeline work with Kalshi or Polymarket?

According to its source, it works with Polymarket.

What tools or languages does poly_data Polymarket data pipeline use?

The source lists: Python.

Who built poly_data Polymarket data pipeline and where is the source?

It was published by warproxxx. The public source is at github.com/warproxxx/poly_data.

How hard is poly_data Polymarket data pipeline to set up?

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

How many GitHub stars does poly_data Polymarket data pipeline have?

It had 2,338 GitHub stars as of Oct 13, 2026.

Is poly_data Polymarket data pipeline still maintained?

The repository was last updated on Sep 8, 2026, as checked on Oct 23, 2026. Check the source for current status.

Compare all data & analytics tools → · How to build a Polymarket bot

More data: Prediction market datasets and free Kalshi JSON downloads

Related in Data & analytics

Data & analyticsKalshi

S&P 500 options vs Kalshi contracts: comparing two risk-neutral distributions

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

New bots weekly. One email, no spam.

Form not loading? Subscribe on beehiiv. Handled by beehiiv; see privacy. Unsubscribe any time.