Valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3moĭownload start date string (YYYY-MM-DD) or _datetime.ĭownload end date string (YYYY-MM-DD) or _datetime. Valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,maxĮither Use period parameter or use start and end Proxy=None, rounding=False, tz=None, timeout=None, **kwargs): Start=None, end=None, prepost=False, actions=True,

Install yfinance Using pip:ĭef history(self, period='1mo', interval='1d', With your virtual environment loaded, you’re now ready to install finance. The following package is optional and used for backward compatibility: If you’re not familiar with virtual environments, read: Python Virtual Environments: Setup & Usage. As with most packages, there are two steps: You’ll have to grab that data directly or use another API. If you’re using AI to perform sentiment analysis, you can’t use yfinance. There are other free and paid APIs to access Yahoo’s data, but yfinance is the best place to start, and here’s why. It’s the most popular way to access Yahoo Data, and the API is open-source and free to use. If you’ve decided to use Yahoo Finance as a data source, yfinance is the way to go. And yfinance is one of the most popular ways to access this incredible data. Yahoo Finance is arguably the best freely available data source if you’re okay with these drawbacks. Good paid data sources generally offer a higher level of reliability than freely available datasets. Yahoo might rate limit or blacklist you if you create too many requests.

If the look of Yahoo Finance! is ever changed, it’ll break many of the APIs as the web scraping code will need to be updated. Downloading stock price data | Analyzing stock returns #1Īll Yahoo Finance APIs are unofficial solutions.

Download finance