Python SDK

Python SDK for trading discipline — pip install seigyo

Zero-dependency Python SDK that adds pre-trade guardrails to any trading bot in 5 lines of code. Typed dataclasses, clean API, works with any broker.

Get SDK access Run the demo first

Best fit

Built for a specific trading workflow

Best for Python developers building trading bots on Alpaca, IBKR, Tradovate, or custom infrastructure.

Why this page exists

The SEIGYO Python SDK wraps the Guardrail API with typed dataclass models, clean error handling, and zero external dependencies. Install it, pass your trades through it, and let the engine handle discipline enforcement.

What you get

The useful pieces first

Each item is tied to an action the user can understand before they sign up.

pip install seigyo — zero dependencies, stdlib only

Typed Trade, RuleDefinition, SessionState dataclasses with IDE autocomplete

client.evaluate() and client.check_session() cover the full discipline loop

Why it matters

The problem this page is solving

This keeps the page focused on trader outcomes instead of a generic product tour.

Adding discipline to a bot should take 5 minutes, not 5 sprints.

Zero dependencies means no version conflicts with your existing trading stack.

The SDK returns structured EvaluateResponse objects — verdict, violations, patterns, discipline score, budget remaining.

Next step

Start with the safest path

The cleanest activation path is still the same: paper broker if you want live guardrails, CSV import if you want historical review, and the demo if you want to understand the system first.

Get SDK access Run the demo first