Rust Polymarket–Kalshi arbitrage engine
Low-latency cross-platform arbitrage written in Rust.
Python research engine and paper on Kalshi daily temperature markets that tests whether quoted basket gaps survive fees, order-book depth, payoff constraints and chronological validation, using depth sweeps, fee rounding and linear programming. Includes executed notebooks and interactive graphs; its findings are the author's own (self-reported).
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Python research engine and paper on Kalshi daily temperature markets that tests whether quoted basket gaps survive fees, order-book depth, payoff constraints and chronological validation, using depth sweeps, fee rounding and linear programming. Includes executed notebooks and interactive graphs; its findings are the author's own (self-reported). See the source for setup, usage and current status.
Tools: PythonJupyterlinear programming+1
Difficulty: advanced
Platforms: Kalshi
Python research engine and paper on Kalshi daily temperature markets that tests whether quoted basket gaps survive fees, order-book depth, payoff constraints and chronological validation, using depth sweeps, fee rounding and linear programming. Includes executed notebooks and interactive graphs; its findings are the author's own (self-reported). It is listed under Arbitrage in this directory.
According to its source, it works with Kalshi.
The source lists: Python, Jupyter, linear programming, Kalshi API.
It was published by joelcerraga. The public source is at github.com/joelcerraga/Kalshi-Mispricing-Arbitrage.
This directory rates it advanced (beginner, intermediate or advanced).
It had 0 GitHub stars as of Oct 19, 2026.
The repository was last updated on Oct 18, 2026, as checked on Oct 23, 2026. Check the source for current status.
Compare all arbitrage tools → · How to build a Kalshi bot
Low-latency cross-platform arbitrage written in Rust.
Watches 10,000+ Polymarket and Kalshi markets for mispriced pairs.
Paper-only Python scanner that watches live Polymarket order books for moments when the YES and NO asks plus fees add up to less than $1, checks that the depth is real, and simulates the fills. Has one engine for BTC 5-minute windows and one for the wider active market set, with Streamlit and FastAPI dashboards. Any edge it reports is simulated, not verified.
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