This is a project for long-term investment to determine which soda beverages are good long-term investments. It involves analyzing historical data spanning five years and calculating performance measurements, conducting back-testing, forecasting, and utilizing the Capital Asset Pricing Model. The project also includes testing various trading strategies and identifying stocks with the lowest risks and highest returns.
Stock Tickers:
DPS - Dr. Pepper
KO - Coca-Cola
PEP - Pepsi
Use accountant statements: income, balance, and cashflow for analyzing
Use historical price in Excel, python, and Microsoft Azure Machine Learning Studio for Stocks Analysis
Prerequistes
Microsoft Azure Machine Learning Studio
Python 3.5+
Jupyter Notebook Python 3
Excel 2016
Power BI
Author:
Tin Hang
Disclaimer
🔴 This is not financial advice. Please conduct your own research and refrain from using this code for investing or trading in stocks. If you are interested in the stock market, consider reading books on investment, trading, and finance. It is advisable to consult with a professional investment advisor before making any investment decisions. Remember, this information is for educational purposes only.
