Forex API · Forex
British Pound / US Dollar (GBPUSD) Forex API - Real-Time Quotes & Historical Data
Access real-time forex quotes, OHLCV historical data and WebSocket streams for British Pound / US Dollar (GBPUSD) on Forex. Free API key included.
- Real-time quote for GBPUSD on Forex
- 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
GBPUSD
British Pound / US Dollar · Forex · USD
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Snapshot from the iTick API, refreshed every few minutes
About
GBP/USD, known as "Cable", represents the British pound against the US dollar. It is one of the oldest traded currency pairs and is known for its volatility.
Forex API features for British Pound / US Dollar
Everything you need to integrate British Pound / US Dollar market data into your application.
Real-time quotes
Live bid/ask prices for GBPUSD 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 forex API for Forex 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 GBP/USD forex data with Python
Query real-time forex quotes and historical data for GBP/USD via REST API.
- 1Sign up and get your free API token
- 2Use the /forex/quote endpoint for real-time rates
- 3Use /forex/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/forex/kline"
params = {"region": "GB", "code": "GBPUSD", "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("GBPUSD_ohlcv.csv", index=False)
print(df.tail())FAQ: British Pound / US Dollar (GBPUSD) Forex Data API
How do I get real-time British Pound / US Dollar (GBPUSD) price data?
Sign up for a free iTick account, get your API token, and call the /forex/quote endpoint with region=GB&code=GBPUSD. You can also subscribe via WebSocket for live streaming updates.
What data is available for British Pound / US Dollar (GBPUSD)?
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 British Pound / US Dollar on Forex.
Is there a free plan for British Pound / US Dollar (GBPUSD) 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 British Pound / US Dollar (GBPUSD) historical data?
Use the /forex/kline endpoint with region=GB&code=GBPUSD and choose your interval via the kType parameter (1=1min, 8=daily, etc.).
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