Free Forex Historical Data API

Currency pairs and coverage

The forex group contains 202 datasets across 30 symbols, including EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, USDCHF, NZDUSD and the main euro, pound, yen, aussie and New Zealand crosses. Coverage varies by pair: some histories reach back to 2003, while newer broker exports start later.

Forex datasets use the broker-style M suffix in the API symbol. Use the exact symbol returned by the dataset catalog rather than guessing the suffix.

Forex OHLC request

The request format is the same for every pair. The example below pulls EURUSD M15 for January 2026. The response contains one record per bar with broker-server timestamps.

Forex timeframes are M1, M5, M15, M30, H1, H4, D1 and W1. The forex group does not include an MN1 series.

Forex data quality and broker differences

Every forex dataset has an A-F quality report. The audit flags duplicate timestamps, invalid OHLC, non-positive prices, gaps, flat bars, zero spread and zero volume. A low score is a signal to inspect the file, not a claim that the prices are unusable.

• Legacy exports often lack volume and spread; price-only backtests may still be valid.
• Weekend and holiday gaps are normal in forex and are reported separately from unexpected gaps.
• Broker server time affects daily boundaries and session filters; convert explicitly when needed.

Forex API use cases

Forex API limits

The free tier allows 60 requests per minute, 1,000 requests per day and up to 50,000 rows per request. A request can span at most 366 days. For long M1 histories, request one year at a time and store the results locally.

Request examples

curl "https://www.algospecial.com/api/ohlc.php?symbol=EURUSD&tf=M15&from=2026-01-01&to=2026-01-31&format=json"

import pandas as pd
import requests

params = {
    "symbol": "EURUSD",
    "tf": "H1",
    "from": "2025-01-01",
    "to": "2025-12-31",
}
r = requests.get("https://www.algospecial.com/api/ohlc.php", params=params, timeout=30)
r.raise_for_status()
df = pd.DataFrame(r.json()["data"])
df["Timestamp"] = pd.to_datetime(df["Timestamp"])
df["return"] = df["Close"].pct_change()
print(df.describe())

curl "https://www.algospecial.com/api/ohlc.php?symbol=GBPUSD&tf=H4&from=2025-01-01&to=2025-12-31&format=csv" -o GBPUSD_H4.csv

All timestamps are broker server time. Some legacy forex exports return 0 for TickVolume and Spread because those fields were not present in the source feed.

Related API guides