![]() Inside the parenthesis, you need to provide the asset to the ticker parameter, and the start and end dates to select the period range. To download forex price data, we can proceed using the “.download()” method from the yfinance package in the same way you did when you downloaded stock price data. Once you’re done with that, we can proceed to the following. Let's see how to download daily data first: In case you are new to the libraries, you can learn more about the numpy, pandas and matplotlib tutorials from QuantInsti, so you can learn from them before you start diving into this article. We’re kidding! Let’s start by importing the necessary libraries which we are going to use for this article: Now let’s download the EURUSD pair from the first business day of the year 2019 to March 11, 2022, in just 1000 lines of code. It’s so easy! Before we get into the download part, don’t forget to install the library in your environment. As an algo trader exploring this amazing market, the yfinance library will helps us to do download forex price data easily. However, when you have a good strategy, forex assets can help you earn a decent amount of money. We all know the stock market is a great place to invest in. ![]() ![]() I know what you’re thinking: “There are plenty of websites explaining how to download stock price data with the yahoo finance library but almost nothing on how to download forex price data with it”. Today, we will teach you how to fetch forex price data from yahoo finance, from daily to a minute frequency. On the internet, you will find many sources to download forex price data, such as quandl, alpha vantage, brokers’ APIs, yahoo finance, etc. ![]()
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