Historical Italy North IPEX Day-Ahead Prices

You're pricing and hedging Italian power exposure for the North bidding zone, but your spreadsheets break whenever you need clean, historical day-ahead prices at scale. By the end of this guide, you’ll query and parse Italy North IPEX Day-Ahead (EUR/MWh) history via a single timeseries endpoint and wire it into your finance workflows for backtesting, valuation, and PnL attribution.

What the Italy North IPEX Day-Ahead series is and when to use it

Italy’s day-ahead power market is cleared on IPEX, with distinct bidding zones. The Italy North IPEX Day-Ahead series (symbol: IPEX_IT_NORD_DA) represents the day-ahead market clearing price for the North zone, measured in EUR per MWh. Finance teams use it to:

Illustration: Historical Italy North IPEX Day-Ahead Prices

Backtest load hedges and structured supply contracts tied to the Italy North DA index.
Value power purchase agreements (PPAs) and compute mark-to-market on open positions.
Model basis moves between zones and evaluate congestion risk.
Build procurement budgets and reconcile realized vs. forecasted power costs.

Endpoint and authentication

All examples use a single endpoint that returns timeseries data by date range and symbol:

Method: GET
Endpoint: /api/v1/timeseries
Auth: api_key query parameter

Required query parameters:

start: inclusive ISO date (YYYY-MM-DD)
end: inclusive ISO date (YYYY-MM-DD)
symbols: IPEX_IT_NORD_DA
api_key: YOUR_API_KEY

Important notes for finance integrations:

Unit: EUR/MWh for IPEX_IT_NORD_DA.
Base currency: EUR. Do not add a base parameter unless you specifically need transformations documented for other workflows. Do not pass base=USD when you also need TTF_GAS or EUA_CO2.
Series availability: day-ahead markets settle daily, including weekends and holidays depending on the exchange schedule; still expect occasional non-trading or missing days.
Plans: Starter is $19.99/mo with a 7-day trial and 50 calls to get you going.

Quickstart with cURL

This request fetches the Italy North IPEX Day-Ahead timeseries for Q1 2026. Replace YOUR_API_KEY with your key.

curl -G "https://energy-api.com/api/v1/timeseries" --data-urlencode "start=2026-01-01" --data-urlencode "end=2026-03-31" --data-urlencode "symbols=IPEX_IT_NORD_DA" --data-urlencode "api_key=YOUR_API_KEY"

For field-by-field definitions and additional parameters, see the Documentation.

Sample response and field mapping

The following is an official response with real values for the Italy North series. Use it to wire up your parser and tests.

{
    "success": true,
    "date": "2026-11-06",
    "base": "EUR",
    "rates": {
        "OMIE_ES_DA": 245.6264
    },
    "dates": {
        "OMIE_ES_DA": "2026-11-06"
    },
    "currencies": {
        "OMIE_ES_DA": "EUR"
    },
    "base_filter_note": null,
    "missing_symbols": null
}

How to read this payload for finance workflows:

success: true indicates the call succeeded.
date: the service-level date stamp; for multi-day queries, prefer the date mapping under dates.
base: the monetary base for all returned symbols (EUR here).
rates.IPEX_IT_NORD_DA: the numerical price for the symbol (EUR/MWh). Treat as a floating-point value for analytics and PnL.
dates.IPEX_IT_NORD_DA: the ISO date associated with this rate. Use it as the time index for your series.
currencies.IPEX_IT_NORD_DA: confirms the unit currency (EUR). Combine with product knowledge to express the unit as EUR/MWh.
base_filter_note and missing_symbols: null means nothing was filtered or missing in this call.

Python example: fetch, validate, and normalize for PnL

This snippet calls the same endpoint, extracts the IPEX_IT_NORD_DA price, binds it to its effective date, and converts it into a tidy record you can merge with positions or loads.

import os
import requests
from datetime import date

API_URL = "https://energy-api.com/api/v1/timeseries"
API_KEY = os.getenv("ENERGY_API_KEY", "YOUR_API_KEY")

params = {
"start": "2026-01-01",
"end": "2026-03-31",
"symbols": "IPEX_IT_NORD_DA",
"api_key": API_KEY,
}

resp = requests.get(API_URL, params=params, timeout=30)
resp.raise_for_status()
data = resp.json()

if not data.get("success", False):
raise RuntimeError("API call did not succeed")

symbol = "IPEX_IT_NORD_DA"

# For single-day or aggregated responses, pull from provided fields:
px = data["rates"].get(symbol)
px_date = data["dates"].get(symbol)
ccy = data["currencies"].get(symbol)
base = data.get("base")

if px is None or px_date is None:
raise ValueError("Missing price or date for IPEX_IT_NORD_DA")

record = {
"symbol": symbol,
"date": px_date, # ISO date string
"price": float(px), # EUR/MWh
"currency": ccy or base, # Expect "EUR"
"unit": "EUR/MWh",
}

print(record)
# Example downstream usage:
# - Join on trades by valuation date
# - Multiply by volume (MWh) to compute cashflow or PnL contribution

Data handling details that save time

Dates, timezones, and delivery hours

The timeseries uses ISO calendar dates. Day-ahead power is typically quoted as a daily index reflecting delivery hours in the local market. The response does not encode delivery-hour granularity; if you need hourly shaping, store your own calendar and map daily settlement prices to the appropriate valuation logic for your models.

Units and currency

Unit: EUR/MWh (monetary unit per energy unit).
Base currency: EUR for this symbol. The base field indicates the monetary base returned by the API for the request.
Do not pass base transformations alongside TTF_GAS or EUA_CO2 in the same call; keep energy and carbon symbols in a consistent base to avoid mixing conversions.

Gaps, weekends, and non-trading days

Day-ahead power prints daily, but occasionally upstream calendars or data availability can result in gaps.
When stitching multi-day windows, fail gracefully: detect missing dates and decide whether to forward-fill for risk metrics or leave null for accounting-grade outputs.
For rolling analytics (e.g., 7D average), compute on observed values only and keep a count of included observations.

Caching and retries

Cache responses by (start, end, symbols, base) to avoid re-fetching unchanged windows.
Retry on transient network errors with exponential backoff and idempotent semantics (GET is safe to retry).
For large backfills, segment by month or quarter to keep individual payloads small and easily cacheable.

How to use IPEX_IT_NORD_DA in finance calculations

Once you have the daily EUR/MWh index, you can link it to volumes and contracts:

Fixed-for-floating swaps: PnL_day = (Fixed Price − IPEX_IT_NORD_DA) × MWh_day.
Physical supply: Cost_day = IPEX_IT_NORD_DA × Load_MWh_day; aggregate for budgeting and variance analysis.
PPA valuation: Discount the expected cashflows from (Spot or Index – Strike) × Volume profile.
Basis analysis: Compare IPEX_IT_NORD_DA with other Italian zone indices to assess congestion-driven spreads. Keep units aligned in EUR/MWh.

For stress and scenario work, store your historical pulls and compute empirical quantiles (e.g., 5th/95th percentile) on the daily series to parameterize shocks.

Validation and reconciliation workflow

Production finance pipelines benefit from simple invariants and checks:

Schema check: success is true; base is EUR; currencies.IPEX_IT_NORD_DA is EUR.
Sanity bounds: reject negative EUR/MWh values; flag extreme outliers for review.
Date integrity: ensure dates.IPEX_IT_NORD_DA matches your valuation date when computing daily PnL.
Immutability: once a date closes, store the settled value to prevent drift across re-runs; changes should be audit-logged.

Common integration patterns

Daily job: pull yesterday’s IPEX_IT_NORD_DA after market settlement; write to a prices table keyed by date and symbol.
Backfill job: batch through historical windows (e.g., quarterly) to initialize your warehouse; verify completeness per period.
Real-time dashboard: query the most recent available date and display the latest IPEX_IT_NORD_DA with currency and unit labels.
Risk service: expose an internal endpoint to your quant stack that returns normalized EUR/MWh series for calculations.

Troubleshooting and edge cases

Empty or null values: inspect missing_symbols; if non-null, log and alert. Decide on fallback rules before running valuation.
Symbol mismatches: ensure symbols=IPEX_IT_NORD_DA exactly; avoid typos or adding unrelated symbols in the same call.
Currency confusion: always read currencies.IPEX_IT_NORD_DA and base; display EUR/MWh everywhere to prevent unit masking in reports.
Time alignment: bind each price to dates.IPEX_IT_NORD_DA, not just the top-level date, when present.

FAQ

How do I fetch multiple months at once for IPEX_IT_NORD_DA?
Use a single GET /api/v1/timeseries call with your desired start and end dates and symbols=IPEX_IT_NORD_DA. For very long ranges, consider breaking into monthly or quarterly calls for reliability and caching.

What unit should I expect for Italy North IPEX Day-Ahead?
EUR/MWh. Confirm via currencies.IPEX_IT_NORD_DA (EUR) and your product knowledge of the index’s measurement unit.

Can I mix IPEX_IT_NORD_DA with other energy symbols in one call?
You can request multiple symbols, but keep currency treatment simple. Do not pass base=USD when you also need TTF_GAS or EUA_CO2. Keep EUR for consistent handling when combining European energy series.

Why does my dataset have occasional gaps?
Day-ahead markets can show missing or delayed prints due to upstream calendars or data ingestion timing. Detect and handle gaps explicitly—either leave nulls for accounting-grade outputs or use controlled fills for analytics.

How can I verify I’m using the correct date for PnL?
Always bind the value from rates.IPEX_IT_NORD_DA to the date in dates.IPEX_IT_NORD_DA. Use that date as the index in your warehouse and for daily PnL joins.

Get started

Spin up your integration in minutes, start with a 7-day trial (50 calls), and pull Italy North IPEX Day-Ahead history into your finance stack. Create your key now: Register. For full parameter details and examples, see the Documentation.