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Build a repeatable FX macro model

Start with policy, inflation, labour, and growth. Store observations and metadata consistently, then add scoring only after the underlying dataset is stable.

import os
import requests

root = "https://api.fxmacrodata.com/v1/announcements/eur"
series = {}
for indicator in ("policy_rate", "inflation", "unemployment", "gdp"):
    response = requests.get(
        f"{root}/{indicator}",
        params={"api_key": os.environ["FXMD_API_KEY"], "limit": 12},
        timeout=20,
    )
    response.raise_for_status()
    series[indicator] = response.json()
print(series.keys())

Tikėtinas rezultatas: Four consistently structured EUR datasets ready for normalization, scoring, and scheduled refreshes.