ewindmer

ewindmer / kalshi-trading-bot

Public

polymarket arbitrage trading bot. Implements intra-market, combinatorial, cross-platform, endgame, momentum strategies with multi-timeframe analysis and risk management.

polymarket.com arbitrage arbitrage-trading-bot polymarket polymarket-arbitrage-trading polymarket-trading-bot
26
6
89% credibility
Found Feb 06, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A starter framework for building automated bots that trade yes/no contracts on Kalshi's short-term Bitcoin price prediction markets.

How It Works

1
🔍 Discover the Bitcoin Trading Helper

You stumble upon this handy tool on GitHub that makes it easy to automate bets on whether Bitcoin goes up or down in short 15-minute windows on Kalshi.

2
📋 Prepare Your Kalshi Account

You sign up for a Kalshi account if you don't have one, add some money to trade with, and get your secure login details ready.

3
⚙️ Pick Your Trading Style

You choose if the bot bets on Bitcoin rising or falling, decide how much to bet each time, and set your target prices.

4
🧪 Try Practice Trades First

You run the bot in test mode to watch it pretend to buy and sell contracts safely, seeing exactly what it would do.

5
🚀 Launch Real Trading

You switch off test mode with one simple change and start the bot to make actual trades on live Bitcoin markets.

6
📈 Monitor Your Bot's Moves

You check the updates to see the bot scanning markets, placing bets, and closing positions just like you planned.

💰 Celebrate Smart Profits

Your automated helper turns predictions into real gains, with tools to track wins, losses, and overall performance.

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Star Growth

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AI-Generated Review

What is kalshi-trading-bot?

This GitHub Kalshi trading bot automates arbitrage betting on Kalshi's prediction markets, scanning open Bitcoin 15-minute up/down contracts and executing limit buy/sell orders via the official GitHub Kalshi API TypeScript SDK. Built in TypeScript for Node.js, it handles secure auth with API keys and RSA, real-time market data pulls, and configurable position sizing—solving the plumbing for devs who want to test Kalshi arbitrage strategies without building from scratch. Run a quick trade test via npm scripts to buy and sell in dry-run mode, tweaking params like price in cents and contract count through env vars.

Why is it gaining traction?

It stands out with production-ready features like dry-run testing, error logging, and limit orders to avoid slippage, plus examples for adding trend analysis, signals, and risk calc—letting users focus on Kalshi arbitrage opportunities rather than API boilerplate. The hook is its simplicity: spin up in minutes with npm install, monitor multiple markets, and extend for momentum or mean reversion plays on Bitcoin ticks. At 55 stars, it's pulling devs tired of manual Kalshi trading bots on Reddit.

Who should use this?

Quant devs or algo traders dipping into Kalshi arbitrage bot strategies, especially those eyeing Bitcoin event contracts for stat arb or liquidity provision. Suited for solo traders backtesting signals before live deployment, or teams prototyping GitHub Kalshi market making bots without Python wrappers. Skip if you're after full AI trading bots or non-Bitcoin markets like weather.

Verdict

Solid foundation for Kalshi trading experiments with excellent README docs and quick-start scripts, but modest 55 stars and 0.9% credibility score signal early maturity—pair it with your own backtests before scaling. Worth forking if you're building a GitHub Kalshi arbitrage bot; otherwise, monitor for more polish.

(198 words)

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