| title | Neural SDK Documentation |
|---|---|
| description | Build intelligent trading strategies with Neural SDK. Access Kalshi markets, analyze data, and execute trades programmatically. |
Neural is a powerful Python library for building, testing, and deploying algorithmic trading strategies on Kalshi's prediction markets. Focus on sports, elections, and economic events with real-time data and low-latency execution.
Get up and running in minutes:
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Install Neural
pip install neural-sdk
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Authenticate
Set your Kalshi credentials:export KALSHI_EMAIL=your_email export KALSHI_PASSWORD=your_password
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Fetch Markets
from neural.data_collection import kalshi_api_source markets = kalshi_api_source.get_markets() print(markets)
- Data Collection: Real-time and historical data from Kalshi, ESPN, and more.
- Analysis Tools: Backtesting, risk management, and strategy optimization.
- Trading Execution: FIX protocol support for live and paper trading.
- Sports Markets: Specialized tools for event-based prediction markets.
- Start Here – Architecture overview
- Getting Started – Installation and basics
- Data Collection – Sources and aggregation
- Strategy Design – Building and testing strategies
- Trading – Execution and reporting
Built with ❤️ for algorithmic traders.