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AI Fin Hub

Checklist, in AI in Markets

Broker API Integration Checklist

A trading API is unforgiving because its errors move money. This checklist covers wiring a broker connection correctly before it touches real orders.

12 items. Published May 26, 2026. By AI Fin Hub Research.

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Sections

Work in focused batches instead of one long wall

Section 1

Phase 1: Capability fit

3 items

Section 2

Phase 2: Order safety

3 items

Section 3

Phase 3: Rate limits and resilience

3 items

Section 4

Phase 4: Reconciliation and rollout

3 items

Tips

Small moves that make the checklist easier to finish

Idempotency keys are not optional on a trading API. The first time a timeout makes you retry and you discover the original order already filled, you will wish you had attached a unique ID.
A timeout is not a failure, it is an unknown. Always query order status before retrying, because the safest-looking retry is exactly how you end up double-filled.
Reconcile against the broker on a timer, not just at startup. The broker's record is ground truth, and any drift in your internal state poisons every decision until you detect it.

Run the numbers next

  • Directories Finance MCP Directory

    Security-graded catalog of finance MCP servers — Alpaca, Polygon, Databento, IBKR, Tradier, Tiingo, NautilusTrader. Scope, auth, idempotency, transport.

  • Generators Trading System Blueprinter

    Pick your data source, LLM, broker, storage, risk engine, and logger. Get a Mermaid architecture diagram and a copyable starter file tree — the full stack before you write code.

  • Playgrounds Execution Simulator

    Estimate execution cost in closed form — square-root permanent impact, linear temporary impact, half-spread, and a latency-drift band. See the slippage a naive backtest hides.

Sources

  1. Designing Data-Intensive Applications , Martin Kleppmann, O'Reilly (2017)
  2. Trading and Exchanges: Market Microstructure for Practitioners , Larry Harris, Oxford University Press (2003)

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  • Learn Slippage

    Slippage as the gap between expected and executed price: the components (spread, market impact, latency), and how to model each in a backtest.