Historical exchange rates API

Historical currency data for analysis, accounting and backtesting

Historical exchange rates answer questions that live rates can’t: What was the EUR/USD rate on the invoice date? How much did our Japanese revenue really grow once the yen moved? How did the pound react to a central-bank decision? The /v1/historical endpoint of the fxapi FX rates API gives you that data over a single, consistent REST interface – the same JSON format, currency codes and authentication as the real-time exchange rates API.

Every endpoint accepts a base_currency (USD by default), so you can request historical rates relative to EUR, GBP, CHF or any of the 190+ supported currencies without converting them yourself.

Exchange rate for a specific date

GET /v1/historical returns the end-of-day rates for one date. Pass the date in YYYY-MM-DD format; it must be at least one day in the past and not earlier than 1999-01-01.

Typical uses: booking foreign-currency invoices at the rate of the transaction date, recalculating historic orders in your reporting currency, or filling a gap in your own rate table.

Need more than one date?

• Time series – every rate between two dates, from minute to monthly accuracy, as JSON or CSV: see the exchange rate time series API (Professional+).
• Fluctuation – start rate, end rate and % change between two dates in one call: see the currency fluctuation API (all plans).

Monthly and yearly averages

Need an average rather than a closing rate – for example to translate an income statement? The average exchange rates API returns monthly, quarterly or yearly averages including the lowest and highest daily rate, back to 1999.

Python example: load ten years of EUR/USD into pandas

import io, os
import pandas as pd
import requests

frames = []
for year in range(2016, 2026):
    r = requests.get(
        "https://api.fxapi.com/v1/range",
        params={
            "datetime_start": f"{year}-01-01T00:00:00Z",
            "datetime_end": f"{year}-12-31T23:59:59Z",
            "accuracy": "day",
            "base_currency": "EUR",
            "currencies": "USD",
            "format": "csv",
        },
        headers={"apikey": os.environ["FXAPI_KEY"]},
        timeout=30,
    )
    r.raise_for_status()
    frames.append(pd.read_csv(io.StringIO(r.text)))

eurusd = pd.concat(frames)
print(eurusd.tail())

Ten requests, ten years of daily data. Because the maximum span for daily accuracy is 366 days, longer histories are fetched year by year – or in one call with accuracy=month.

Why developers choose fxapi for historical rates

• 27+ years of daily history for fiat currencies, plus precious metals and major cryptocurrencies.
• One format for everything – historical, live, converted and averaged rates share the same currency codes and code/value entries.
• CSV output on range, fluctuation and average for analysts who don’t want to write a parser.
• Fair billing – a time series is one request, and failed or invalid calls are never counted.
• Available on every plan – the historical endpoint is included in the free exchange rate API plan.

Frequently asked questions