엔지니어링

Engineering 2026-04-21 12:00 UTC

How We Validate Macro Data Accuracy Before Serving It

A look inside the multi-stage data validation pipeline that ensures every macro indicator served by FXMacroData is accurate, timely, and consistent — from initial ingest and schema checks to outlier filtering, cross-source reconciliation, and business-day integrity rules.

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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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