rp_stocks2.py

import pandas as pd
import yfinance as yf
import pandas_ta as ta

# List of tickers
tickers = ['GOOGL', 'BLK', 'NVO', 'HESAY']

# Download data for multiple tickers
df = yf.download(tickers=tickers, period='1y', group_by='ticker')

# Check the column structure
print("Columns in the downloaded DataFrame:", df.columns)

# Create an empty DataFrame to store RSI values
rsi_df = pd.DataFrame()

# Iterate through each ticker to calculate RSI
for ticker in tickers:
    try:
        # Access the Adjusted Close column for the specific ticker
        adj_close = df.loc[:, (ticker, 'Adj Close')]

        # Calculate RSI
        rsi_values = ta.rsi(close=adj_close, length=14)

        # Add the RSI values to the DataFrame
        rsi_df[ticker] = rsi_values
    except KeyError as e:
        print(f"Data for {ticker} is missing 'Adj Close' column. Skipping.")
        continue

# Display the RSI DataFrame
print(rsi_df)