Kalshi-first SDK for prediction market trading.

Build with Kalshi auth, market data, paper trading, selected live workflows, and a lightweight CLI. Start with the docs, install from PyPI, and use the GitHub repo for examples and implementation details.

Beta workflow edge +18 bps

   client  =  TradingClient ( exchange= "kalshi" ,  paper= True )  
   fair  =  model.price ( client.list_markets () [ 0 ] . orderbook )  
   if  fair.edge_bps  >  18 :   
   client.place_order ( side= "yes" ,  quantity=42 ,  price=61 )   
   risk.register_fill ( "kalshi_yes" ,  quantity=42 )   
   report.write ( "paper-session.json" )   

Kalshi market | YES 0.61 mid

Spread +18 bps

Queue 42 lots

Latency 84 ms

BUY

TRACK

REPORT

Open Signal Fill Close

Execution log kalshi-first beta

SIGNAL Model edge detected on the top Kalshi contract +18 bps

PAPER BUY KALSHI 42 contracts routed at 0.61 accepted

RISK REGISTERED Position registered for paper monitoring tracked

SESSION REPORT Paper summary written for operator review saved

Why teams switch

The shortest path from market idea to operator-ready workflow.

Neural is positioned for developers who want a narrower, more useful starting point than raw exchange APIs. The beta is intentionally focused on the Kalshi path that is already supportable in production operations.

One SDK, operator-first defaults

Start with Kalshi auth, market data, paper trading, selected live workflows, and a CLI that tells you whether your environment is actually ready.

Fewer integration gaps

Use a public beta surface that is documented, smoke-tested, and packaged for clean installs instead of relying on scattered examples and hand-rolled wrappers.

Open-core roadmap

Keep the core SDK approachable now, then layer premium automation, deployment, and operator tooling on top once the supported path is proven.

What Neural is

A Kalshi SDK for prediction market developers.

If someone is searching for a Kalshi SDK, a prediction market trading SDK, or a way to build event-contract trading bots faster, this is the page they should land on. Neural is not trying to be a broad everything platform at beta. It is a focused developer product with a clear supported surface.

Supported beta path

Kalshi credential loading and signing
Market discovery and normalized market reads
Paper trading and session reporting
Selected live workflows through TradingClient
CLI checks for install and operator readiness

Who should use Neural

Developers replacing ad hoc exchange scripts
Quant operators building event-contract automation
Teams evaluating Kalshi-native workflow tooling
Early adopters who want a stable beta path before managed features land

FAQ

Questions buyers and developers ask before they install.

What does Neural support today?

The supported beta path covers Kalshi auth, market data, paper trading, selected live trading workflows through TradingClient, and a lightweight CLI.

Who is Neural for?

Neural is for developers and quant-minded operators who want to ship prediction-market workflows faster than stitching together exchange-specific SDKs by hand.

How do I get started?

Start with the public docs, install the package from PyPI, and use the GitHub repository for examples and implementation details.