arshka

arshka / pykalshi

Public

Unofficial Python client for Kalshi's prediction markets API

algorithmic-trading api-client finance kalshi kalshi-api
46
7
69% credibility
Found Feb 07, 2026 at 10 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

PyKalshi is a Python library that simplifies trading on Kalshi prediction markets with real-time data streaming, easy data analysis, and an included web dashboard.

How It Works

1
🔍 Discover PyKalshi

You find this handy helper while searching for an easy way to trade prediction markets on Kalshi.

2
📦 Get it ready

You add the trading tool to your computer with one quick setup step.

3
🔗 Link your account

You share your Kalshi login details safely so it can access your markets and trades.

4
🌐 Open the dashboard

With one click, a beautiful web screen shows live markets, prices, and your portfolio.

5
📊 Watch live updates

You see real-time prices, order books, and trades flowing in smoothly.

6
💰 Trade or automate

You place bets easily or set up smart strategies that run on their own.

✅ Trade like a pro

Now you have a powerful, real-time view of prediction markets and your growing portfolio!

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Star Growth

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AI-Generated Review

What is pykalshi?

Unofficial Python client for Kalshi's prediction markets API, like other unofficial Python libraries filling gaps in official SDKs. It lets you fetch markets, place limit/market orders, stream real-time tickers/orderbooks/trades via WebSockets, and convert results to pandas DataFrames. Bonus: Jupyter-rich displays and a FastAPI/React dashboard for live monitoring.

Why is it gaining traction?

Outshines Kalshi's barebones official client with auto-retries, rate limiting, typed exceptions, and local orderbook state – no more manual WebSocket plumbing. Pandas integration and notebook demos make market analysis instant, hooking devs tired of raw API calls.

Who should use this?

Quant traders scripting Kalshi bots for elections/crypto events, data scientists pulling candlesticks/trades for backtests, or fintech scripters needing real-time feeds without glue code. Ideal for Python users in forecasting or binary options.

Verdict

Grab it if you're on Kalshi – covers the full API with smart extras, despite 23 stars and 0.7% credibility score signaling early beta. Docs/examples shine, tests pass; mature enough for prototypes, but watch for edge cases in live trading.

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