Event-driven backtesting framework for binary markets such as Kalshi, Polymarket and PredictIt, with pluggable strategies, a simulated broker, settlement handling and a Streamlit UI showing equity curve, trade log and metrics.
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Event-driven backtesting framework for binary markets such as Kalshi, Polymarket and PredictIt, with pluggable strategies, a simulated broker, settlement handling and a Streamlit UI showing equity curve, trade log and metrics. See the source for setup, usage and current status.
Tools: PythonStreamlitParquet
Difficulty: intermediate
Platforms: Kalshi · Polymarket
Event-driven backtesting framework for binary markets such as Kalshi, Polymarket and PredictIt, with pluggable strategies, a simulated broker, settlement handling and a Streamlit UI showing equity curve, trade log and metrics. It is listed under Data & analytics in this directory.
According to its source, it works with Kalshi and Polymarket.
The source lists: Python, Streamlit, Parquet.
It was published by wilsoncwhuang. The public source is at github.com/wilsoncwhuang/prediction-market-backtest-engine.
This directory rates it intermediate (beginner, intermediate or advanced).
It had 0 GitHub stars as of Oct 15, 2026.
The repository was last updated on May 17, 2026, as checked on Oct 23, 2026. Check the source for current status.
Compare all data & analytics tools → · How to build a Kalshi bot · How to build a Polymarket bot
More data: Prediction market datasets and free Kalshi JSON downloads
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.
Scripts to collect Polymarket market and trade data for analysis.
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.
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