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.
Checklist Progress
Move item by item and keep your place
Progress saves locally, so you can work through the page over multiple sessions without resetting your checklist.
Checklist Sections
Work in focused batches instead of one long wall
Section 1
Phase 1: Capability fit
Section 2
Phase 2: Order safety
Section 3
Phase 3: Rate limits and resilience
Section 4
Phase 4: Reconciliation and rollout
Pro Tips
Small moves that make the checklist easier to finish
Try These Tools
Run the numbers next
Finance MCP Directory
Security-graded catalog of finance MCP servers — Alpaca, Polygon, Databento, IBKR, Tradier, Tiingo, NautilusTrader. Scope, auth, idempotency, transport.
Trading System Blueprinter
Pick your data source, LLM, broker, storage, risk engine, and logger. Get a Mermaid architecture diagram, a starter repo scaffold (ZIP), and a list.
Execution Simulator
Model realistic order fills — square-root market impact, linear temporary impact, latency jitter, partial fills, and queue position. See the real cost.
Sources & References
- Designing Data-Intensive Applications — Martin Kleppmann, O'Reilly (2017)
- Trading and Exchanges: Market Microstructure for Practitioners — Larry Harris, Oxford University Press (2003)
Related Content
Keep the topic connected
Paper-to-Live Transition Checklist
Paper-to-live transition checklist: reconcile fills against real costs, start at minimum size, set kill switches, and verify live matches backtest.
Market Data Vendor Selection Checklist
Market data vendor checklist: match coverage and resolution, verify point-in-time history, compute true total cost, and check licensing first.
MCP (Model Context Protocol)
Model Context Protocol: Anthropic's open standard for letting LLMs discover and call tools — the interface, why it matters, and finance MCP server checks.
Slippage
Slippage as the gap between expected and executed price: the components (spread, market impact, latency), and how to model each in a backtest.