Python.codes.for.fetching.data

import yfinance as yf
import pandas as pd

# Define the stock symbols for the companies of interest
symbols = ['AFRM', 'APP', 'RIOT']

# Specify the date range for the past month
end_date = pd.to_datetime('today')
start_date = end_date - pd.DateOffset(months=1)

# Create dictionaries to store data for each stock
stock_data = {}
key_stats = {}

# Fetch historical stock data and key financial ratios
for symbol in symbols:
    # Fetch historical stock data
    stock_data[symbol] = yf.download(symbol, start=start_date, end=end_date)

    # Fetch key financial ratios
    key_stats[symbol] = yf.Ticker(symbol).info

# Print or analyze the data as needed
for symbol in symbols:
    print(f"\nStock: {symbol}")
    print("\nHistorical Stock Data:")
    print(stock_data[symbol].head())