Weather temperature market bot
Trades daily high-temperature markets on Kalshi (KXHIGH series) and Polymarket using weather data.
Trains ML models on historical game data to trade Polymarket sports markets (NHL, NBA, tennis, and more).
Last updated · source link verified
Trains ML models on historical game data to trade Polymarket sports markets (NHL, NBA, tennis, and more). See the source for setup, usage and current status.
Tools: PythonML
Difficulty: advanced
Platforms: Polymarket
Trains ML models on historical game data to trade Polymarket sports markets (NHL, NBA, tennis, and more). It is listed under News & event trading in this directory.
According to its source, it works with Polymarket.
The source lists: Python, ML.
It was published by rustyneuron01. The public source is at github.com/rustyneuron01/Polymarket-Sports-Trading-Bot.
This directory rates it advanced (beginner, intermediate or advanced).
It had 133 GitHub stars as of Oct 13, 2026.
The repository was last updated on Mar 31, 2026, as checked on Oct 23, 2026. Check the source for current status.
Compare all news & event trading tools → · How to build a Polymarket bot
Trades daily high-temperature markets on Kalshi (KXHIGH series) and Polymarket using weather data.
Weather quant analysis bot for Polymarket weather markets.
Open-source Python research system for the weekly EIA natural gas storage report. On release it polls EIA's JSON and CSV feeds, reads the Lower 48 net change, maps it onto bracket contracts from a YAML spec, and either records a simulated paper fill or places fee-aware limit orders on Kalshi (and optionally Polymarket). Paper mode is the default; the author warns that live mode can send real orders and lose money. No track record is claimed.
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