umsci_scrapper.py

import pandas_datareader.data as web
import matplotlib.pyplot as plt
import pandas as pd

# Function to fetch UMCSI data from FRED
def fetch_umcsi_data():
    # FRED series ID for the University of Michigan Consumer Sentiment Index (UMCSI)
    series_id = "UMCSENT"
    
    # Define the start and end date for fetching the data
    start_date = '1980-01-01'
    end_date = pd.to_datetime('today').strftime('%Y-%m-%d')  # Use today's date
    
    # Fetch data from FRED
    df = web.DataReader(series_id, 'fred', start_date, end_date)
    
    # Rename the column for easier reference
    df.columns = ['Sentiment']
    
    return df

# Function to plot UMCSI data with only the UMCSI line and horizontal lines
def plot_umcsi(df):
    # Plot the Consumer Sentiment Index as a line chart
    plt.figure(figsize=(10, 6))
    plt.plot(df.index, df['Sentiment'], label='UMCSI', color='green', linewidth=2)
    
    # Plot horizontal lines at 75 and 95
    plt.axhline(y=70, 
                color='red', 
                linestyle='--', 
                label='70 and below Mark, Bearish')  # Horizontal line at 70
    plt.axhline(y=80, 
                color='green', 
                linestyle='--', 
                label='80 and above Mark, Bullish')  # Horizontal line at 80
    
        # Plot aesthetics
    plt.title('University of Michigan Consumer Sentiment Index (UMCSI)', fontsize=14)
    plt.xlabel('Date')
    plt.ylabel('Consumer Sentiment Index')
    plt.grid(True)
    plt.legend(loc='best')
    plt.tight_layout()
    plt.show()

# Main function to fetch data and plot it
def main():
    # Fetch UMCSI data from FRED
    df = fetch_umcsi_data()
    
    if df is not None:
        # Plot the UMCSI chart with horizontal lines
        plot_umcsi(df)

# Run the main function
if __name__ == "__main__":
    main()