Free Crypto Historical Data API

Crypto symbols and timeframes

The crypto group contains 315 datasets across 35 symbols. The catalog includes BTC, ETH, SOL, XRP, ADA, BNB, LTC, LINK, DOGE, DOT, MATIC and other altcoin pairs, plus selected BTC crosses such as BTCAUD, BTCJPY and BTCXAU.

Crypto trades 24/7, so timestamp handling is simpler than forex, but exchange maintenance and data gaps still exist. The quality report exposes those gaps rather than hiding them.

Crypto OHLC request

Use the same OHLC endpoint as every other market. The example below requests BTCUSDT M15. Crypto symbols use the exact catalog symbol, which may include a T, M or cross suffix.

Crypto data quality

Crypto feeds can contain exchange maintenance gaps, missing candles, zero-volume bars and abrupt listing-period changes. Each dataset has an A-F report covering duplicates, OHLC violations, gaps, extreme returns, flat bars, volume and weekend checks.

For machine learning, use the ML-ready crypto datasets if you want precomputed triple-barrier labels. Use the raw API when you need your own feature pipeline.

Crypto API use cases

Crypto API limits and timezone

Limits are 60 requests per minute and 1,000 requests per day. A response can contain at most 50,000 rows and cover at most 366 days. Crypto timestamps are broker server time from the source feed; convert them if your model uses UTC.

Request examples

curl "https://www.algospecial.com/api/ohlc.php?symbol=BTCUSDT&tf=M15&from=2026-06-01&to=2026-06-30&format=json"

import pandas as pd
import requests

params = {
    "symbol": "ETHUSD",
    "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["range"] = df["High"] - df["Low"]
print(df.tail())

curl "https://www.algospecial.com/api/ohlc.php?symbol=SOLUSD&tf=D1&from=2024-01-01&to=2025-12-31&format=csv" -o SOLUSD_D1.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.

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