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Engineering

Implementation guides, SDK work, integration notes, and engineering deep dives.

6 articles in this section
HowTo 2026-03-26 12:00 UTC

How to Use FXMacroData SSE Streams for Real-Time Macro Release Alerts

A practical guide to subscribing to FXMacroData's new Server-Sent Events stream, filtering by currency and indicator, handling reconnects, and fetching the full indicator payload the moment a release lands.

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HowTo 2026-03-25 11:20 UTC

How to Query FXMacroData via GraphQL

A step-by-step guide to connecting to the FXMacroData GraphQL endpoint — from your first query to batching multiple indicators in a single request — with Python and JavaScript examples.

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HowTo 2026-03-03 23:22 UTC

How to Use the Release Calendar API to Schedule Indicator Fetches

Stop polling every endpoint on a timer. Learn how to query the FXMacroData release calendar to find the exact announcement time for any indicator, then schedule a single targeted API call for that moment — in Python and JavaScript.

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HowTo 2026-03-03 23:04 UTC

How to Connect FXMacroData to the OpenClaw AI Assistant

A step-by-step guide to adding FXMacroData as a skill inside OpenClaw so your AI agent can answer macro questions, fetch live indicator data, and send automated FX briefings.

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Engineering 2025-11-26 12:45 UTC

Building an FX Trading Edge: Creating a Python Client for the FXMacroData API

When building a Python library, the goal is to turn a complex, boilerplate-heavy process (raw API calls) into a simple, elegant one-liner. The FXMacroData API provides real-time macroeconomic indicators for major currency pairs—a goldmine for quant traders and analysts.

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Engineering 2025-11-24 15:30 UTC

Scaling Up: Why I Chose FastAPI Over Flask and Django for a Data API

Building a high-frequency data API like FXMacroData demands speed, concurrency, and cloud efficiency. We detail why the asynchronous nature of FastAPI beat out traditional Python frameworks like Flask and Django for our core service, guaranteeing instant, reliable data delivery.

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