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Expectations workflow

Compare forecasts with actual releases

Use predictions before the event, preserve the forecast timestamp, then join the released observation by announcement identity for a repeatable surprise series.

import os
import requests

params = {
    "api_key": os.environ["FXMD_API_KEY"],
    "pre_release_only": "true",
    "limit": 5,
}
response = requests.get(
    "https://api.fxmacrodata.com/v1/predictions/eur/inflation",
    params=params,
    timeout=20,
)
response.raise_for_status()
print(response.json()["data"][0])

Canlyniad disgyledol: Recent EUR inflation release groups with source-labelled forecasts that were recorded before each announcement.