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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.
The download method is your go-to for obtaining historical data for any stock.
import yfinance as yfdata = yf.download("AAPL", start="2020-01-01", end="2021-01-01")
print(data.head())
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.Want data for the most recent trading days? Here’s how:
recent_data = yf.download("AAPL", period="5d")
print(recent_data)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)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 pricesRetrieve 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)Access dividend and stock split history.
apple = yf.Ticker("AAPL")
dividends = apple.dividends
splits = apple.splits
print(dividends, splits)Fetch the most up-to-date stock price.
apple = yf.Ticker("AAPL")
print(apple.history(period="1d"))Obtain data for a specific date range.
data = yf.download("AAPL", start="2022-01-01", end="2022-12-31")
print(data)Visualize historical data with ease.
import matplotlib.pyplot as pltdata = yf.download("AAPL", start="2020-01-01", end="2021-01-01")
data['Close'].plot()
plt.title("Apple Stock Prices")
plt.show()
