In the development process of quantitative trading, the first step is often to obtain data. Recently, I have been working on implementing a forex data quantitative trading strategy. The strategy is now basically complete, but I am facing the challenge of lacking high-quality data for testing and validation. To solve this problem, I conducted extensive searches and found several good forex data platforms that can provide historical K-line data for recent years for download, such as Wind, Tonglian Data, iTick, JoinQuant, etc., and all of them offer detailed integration methods.
After actually using and comparing these platforms, I found that iTick best meets my needs. Its biggest advantage is that it is free, providing stable real-time quotes, along with detailed integration examples, making it easy for beginners to get started.
Requesting K-line Data
python -m pip install requests
"""
**iTick**: A data proxy agency that provides reliable data source APIs for fintech companies and developers, covering forex API, stock API, cryptocurrency API, index API, etc., helping to build innovative trading and analysis tools. Currently, there is a free plan available that can meet the basic needs of individual quantitative developers.
Open-source stock data API address:
https://github.com/itick-org
Free API key application address:
https://itick.org
"""
import requests
url = "https://api.itick.org/forex/kline?region=gb&code=EURUSD&kType=1"
headers = {
"accept": "application/json",
"token": "bb42e24746784dc0af821abdd1188861d945a07051c8414a8337697a752de1eb"
}
response = requests.get(url, headers=headers)
print(response.text)
