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Indices API · CBOE

Volatility Index (VOLX) Indices API - Real-Time Quotes & Historical Data

Access real-time indices quotes, OHLCV historical data and WebSocket streams for Volatility Index (VOLX) on CBOE. Free API key included.

  • Real-time quote for VOLX on CBOE
  • 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

VOLX

Volatility Index · CBOE · USD

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Snapshot from the iTick API, refreshed every few minutes

About

The Volatility Index (VOLX) tracks expected market volatility, providing a benchmark for measuring market sentiment and risk appetite across global equity markets.

Indices API features for Volatility Index

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

Real-time quotes

Live bid/ask prices for VOLX 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 CBOE 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 Volatility Index (VOLX) data with Python

Query real-time index quotes and historical data for VOLX 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": "US", "code": "VOLX", "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("VOLX_ohlcv.csv", index=False)
print(df.tail())

FAQ: Volatility Index (VOLX) Indices Data API

How do I get real-time Volatility Index (VOLX) price data?

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

What data is available for Volatility Index (VOLX)?

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 Volatility Index on CBOE.

Is there a free plan for Volatility Index (VOLX) 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 Volatility Index (VOLX) historical data?

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

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