Standard-library Python backtester for Kalshi's 15-minute Bitcoin up/down markets. It replays public one-minute candles and trade prints, charges Kalshi taker fees, runs parameter sweeps, and ships unit tests. The simulator has no network access; a separate fetcher caches public data. Backtest results are self-reported.
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Standard-library Python backtester for Kalshi's 15-minute Bitcoin up/down markets. It replays public one-minute candles and trade prints, charges Kalshi taker fees, runs parameter sweeps, and ships unit tests. The simulator has no network access; a separate fetcher caches public data. Backtest results are self-reported. See the source for setup, usage and current status.
Tools: Python (standard library)Kalshi public market data
Difficulty: intermediate
Platforms: Kalshi
Standard-library Python backtester for Kalshi's 15-minute Bitcoin up/down markets. It replays public one-minute candles and trade prints, charges Kalshi taker fees, runs parameter sweeps, and ships unit tests. The simulator has no network access; a separate fetcher caches public data. Backtest results are self-reported. It is listed under Data & analytics in this directory.
According to its source, it works with Kalshi.
The source lists: Python (standard library), Kalshi public market data.
It was published by Charlesganu2004. The public source is at github.com/Charlesganu2004/kalshi-15m-backtester.
This directory rates it intermediate (beginner, intermediate or advanced).
It had 0 GitHub stars as of Oct 22, 2026.
The repository was last updated on Oct 22, 2026, as checked on Oct 23, 2026. Check the source for current status.
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