This Excel project includes technical analysis, fundamental analysis, quantitative analysis, time series analysis, and various types of trading strategies. It also incorporates numerous risk-return metrics, technical indicators, and portfolio strategies. Additionally, it involves data analysis and data science for both single stocks and multiple stocks. Statistical analysis techniques, such as hypothesis testing, t-tests, R-Squared, Significant F, p-values, coefficients, F-tests, and Durbin-Watson statistics, are utilized for investing and trading purposes. Time series forecasting metrics are employed for modeling, while VBA, macros, and complex formulas are created for stock analysis.

https://www.microsoft.com/en-us/microsoft-365/excel

https://www.python-excel.org/

https://readxl.tidyverse.org/

https://www.mathworks.com/help/compiler/create-excel-add-ins.html

List of Technical Analysis
Fundamental Analysis (Statements)
Budgeting Money for Investing
Project of Portfolio Stocks Investment
Project of Values in the Company (Cashflows)
Stock Data Analysis
Stock Measurement Ratios
Long-Term Investment
Statistics
Time Series
Forecasting

Trading With Gaussian Statistical Models
Hypothesis Testing in Finance
Independent Sample t-Test for Stock Returns
Statistical Modeling
Statistical Inference