Created
February 19, 2024 04:54
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import yfinance as yf | |
import pandas as pd | |
# Define tickers by sector | |
sectors = { | |
'Technology': ['AAPL', 'MSFT', 'GOOGL'], | |
'Healthcare': ['JNJ', 'PFE', 'MRK'], | |
'Consumer Discretionary': ['AMZN', 'TSLA', 'MCD'] | |
} | |
# Define a dictionary to hold our data | |
sector_performance = {} | |
# Fetch YTD performance for each stock and calculate average sector performance | |
for sector, tickers in sectors.items(): | |
# Fetch data | |
data = yf.download(tickers, period='ytd')['Adj Close'] | |
# Calculate YTD return | |
ytd_returns = data.pct_change().sum() | |
# Calculate average performance of the sector | |
sector_performance[sector] = ytd_returns.mean() | |
# Convert to DataFrame for better visualization | |
sector_performance_df = pd.DataFrame(list(sector_performance.items()), columns=['Sector', 'Average YTD Return']) | |
print(sector_performance_df) |
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