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Indices API · XETRA

DAX 30 Index (GER30) Indices API - Real-Time Quotes & Historical Data

Access real-time indices quotes, OHLCV historical data and WebSocket streams for DAX 30 Index (GER30) on XETRA. Free API key included.

  • Real-time quote for GER30 on XETRA
  • OHLCV historical K-line data from 1-min to monthly
  • WebSocket streaming for real-time price updates
  • Free API key to start - simple REST & WebSocket access
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GER30

DAX 30 Index · XETRA · EUR

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Snapshot from the iTick API, refreshed every few minutes

About

The DAX 30 Index (GER30) is the benchmark index of the German stock market, tracking the 30 largest and most liquid companies listed on the Frankfurt Stock Exchange (XETRA).

Indices API features for DAX 30 Index

Everything you need to integrate DAX 30 Index market data into your application.

Real-time quotes

Live bid/ask prices for GER30 with millisecond latency via REST and WebSocket.

OHLCV K-line data

Historical bars from 1-minute to monthly, ideal for charting and backtesting.

Tick-by-tick data

Every trade and quote update, ideal for high-frequency analysis and order-book modeling.

Global coverage

One indices API for XETRA and 50+ other exchanges worldwide.

REST + WebSocket

Poll via REST for historical data, stream via WebSocket for real-time updates.

Simple authentication

Just an API token in the header - no OAuth, no complex setup required.

Get DAX 30 Index (GER30) data with Python

Query real-time index quotes and historical data for GER30 via REST API.

  1. 1Sign up and get your free API token
  2. 2Use the /indices/quote endpoint for real-time values
  3. 3Use /indices/kline for historical bars
import requests
import pandas as pd

# kType = bar interval (1 = 1-minute ... 10 = monthly, see docs)
url = "https://api.itick.org/index/kline"
params = {"region": "DE", "code": "GER30", "kType": 8, "limit": 500}
headers = {"accept": "application/json", "token": "YOUR_API_TOKEN"}

bars = requests.get(url, params=params, headers=headers, timeout=10).json()["data"]
df = pd.DataFrame(bars).rename(columns={
    "t": "time", "o": "open", "h": "high", "l": "low", "c": "close", "v": "volume"
})
df["time"] = pd.to_datetime(df["time"], unit="ms")
df.to_csv("GER30_ohlcv.csv", index=False)
print(df.tail())

FAQ: DAX 30 Index (GER30) Indices Data API

How do I get real-time DAX 30 Index (GER30) price data?

Sign up for a free iTick account, get your API token, and call the /indices/quote endpoint with region=DE&code=GER30. You can also subscribe via WebSocket for live streaming updates.

What data is available for DAX 30 Index (GER30)?

iTick provides real-time quotes (price, bid/ask, volume), OHLCV K-line bars from 1-minute to monthly, and tick-by-tick trade data for DAX 30 Index on XETRA.

Is there a free plan for DAX 30 Index (GER30) data?

Yes. iTick offers a free plan that includes real-time quotes, historical K-line and tick data for personal use and evaluation. Paid plans add higher rate limits and commercial usage rights.

How do I access DAX 30 Index (GER30) historical data?

Use the /index/kline endpoint with region=DE&code=GER30 and choose your interval via the kType parameter (1=1min, 8=daily, etc.).

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