Stock Analysis for Quant 🧮 🔎 🗠

Summary:

This Stock Analysis for Quant project is a comprehensive endeavor that employs a variety of programming languages, including Excel, Tableau, Power BI, Matlab, Python, and R, among others. It encompasses a wide array of analytical techniques such as data analysis, technical analysis, fundamental analysis, and quantitative analysis. The project involves the identification of candlestick patterns and the development of diverse trading strategies across stocks, options, bonds, mutual funds, and Exchange-traded funds (ETFs), with a strong emphasis on quantitative research in trading and investment. Utilizing mathematical tools, statistical models, and research methodologies, the project aims to gain deep insights into financial behaviors. It integrates technical indicators and trading strategies across multiple languages, employing advanced techniques like time series analysis, forecasting, and machine learning, including deep learning methods, to enhance decision-making processes in the financial markets.

Programming Language and Software	Github Links
Stock Analysis in Excel	Excel
Stock Analysis in Matlab	Matlab
Stock Analysis in Power BI	Power BI
Stock Analysis in Python	Python
Stock Analysis in R	R
Stock Analysis in Tableau	Tableau

🖱️ Stock Analysis For Quant