This project calculates and analyzes market capitalization data for Argentine American Depositary Receipts (ADRs). It includes scripts to fetch weekly share prices, calculate market capitalization, and generate comparison reports.

1. fetch_weekly_prices.py: Fetches weekly closing prices for specified tickers.
2. calculate_market_cap.py: Calculates market capitalization using share prices and outstanding shares data.
3. generate_market_cap_csv.py: Generates a CSV report comparing current market caps to all-time highs.
4. shrs.csv: Input file containing quarterly shares outstanding data.

• Python 3.x
• pandas
• yfinance
• numpy

Install required packages using: pip install pandas yfinance numpy

1. Fetch weekly prices: python fetch_weekly_prices.py This generates weekly_pxs.csv with weekly closing prices.

2. Calculate market capitalization: python calculate_market_cap.py This generates market_cap_data.csv with calculated market caps.

3. Generate market cap comparison report: python generate_market_cap_csv.py This creates market_cap_comparison.csv with a comparison of current vs. all-time high market caps.

• shrs.csv: Contains quarterly shares outstanding data for each ticker.

• weekly_pxs.csv: Weekly closing prices for each ticker.
• market_cap_data.csv: Calculated market capitalization data.
• market_cap_comparison.csv: Comparison report of current vs. all-time high market caps.

PAM, SUPV, TEO, EDN, BBAR, LOMA, YPF, BMA, TS, CEPU, TGS, AGRO, CAAP, GGAL, CRESY, BIOX, VIST

• The scripts use data from December 31, 2003, onwards.
• Ensure shrs.csv is up-to-date with the latest quarterly shares outstanding data.
• Market cap values are calculated in millions of USD.

[Specify your license here]