yfinance: 10 Ways to Get Stock Data with Python

The yfinance library offers Python users a seamless way to retrieve stock data from Yahoo Finance. Whether you're a beginner or a seasoned analyst, this library provides a range of functionalities to help you gather and analyze stock information. In this blog post, we will delve into 10 fundamental ways to retrieve stock data using yfinance.

1. Fetching Historical Data

The download method is your go-to for obtaining historical data for any stock.

import yfinance as yf

data = yf.download("AAPL", start="2020-01-01", end="2021-01-01")
print(data.head())

2. Ticker Object

The Ticker class allows you to access various data for a specific stock.

apple = yf.Ticker("AAPL")
print(apple.info)  # General information about Apple Inc.

3. Getting Recent Data

Want data for the most recent trading days? Here’s how:

recent_data = yf.download("AAPL", period="5d")
print(recent_data)

4. Fetching Data for Multiple Tickers

Retrieve data for multiple stocks in one go.

multi_data = yf.download(["AAPL", "MSFT"], start="2020-01-01", end="2021-01-01")
print(multi_data)

5. Adjusted Data Retrieval

Obtain adjusted data, which accounts for stock splits, dividends, etc.

data = yf.download("AAPL", start="2020-01-01", end="2021-01-01", auto_adjust=True)
print(data['Close'])  # This will show the adjusted close prices

6. Interval-based Data Retrieval

Retrieve data based on specific intervals, like daily or weekly.

weekly_data = yf.download("AAPL", start="2020-01-01", end="2021-01-01", interval="1wk")
print(weekly_data)

7. Retrieving Dividends and Splits

Access dividend and stock split history.

apple = yf.Ticker("AAPL")
dividends = apple.dividends
splits = apple.splits
print(dividends, splits)

8. Real-time Data

Fetch the most up-to-date stock price.

apple = yf.Ticker("AAPL")
print(apple.history(period="1d"))

9. Data for Specific Dates

Obtain data for a specific date range.

data = yf.download("AAPL", start="2022-01-01", end="2022-12-31")
print(data)

10. Visualization with yfinance

Visualize historical data with ease.

import matplotlib.pyplot as plt

data = yf.download("AAPL", start="2020-01-01", end="2021-01-01")
data['Close'].plot()
plt.title("Apple Stock Prices")
plt.show()