Stock Analysis for Quants

This is Stock Analysis project in Excel, Power BI, Matlab, Python, and R language with different types of analysis such as data analysis, technical analysis, fundamental analysis, quantitative analysis, and different types of trading strategies. In addition, this is for quantitative reaserching and analyzing in trading and investment. Quantitative analysis (QA) is a technique that use mathematices and statistical modeling, measurement, and research for understanding finacial behaviors. Many different types of technical indicators and stock strategies in Excel, Python, and R language. Using timeseries, forecasting, machine learning, and deep learning for this research project in different type of programming languages. 📈 📉

Prerequistes

List of Trading Strategies

Description: There are many various methods used to accomplish different strategy;therefore, each with appropriate market environments and risks inherent in the strategy. Trading strategy is a technique of buying and selling in the markets that is based on predefined rules used to make trading decisions.

List of Portfolio Strategies

Description: Portfolio strategies is an investment method for investors to use their assets to achieve their financial goals.

List Type of Risks

Description: Risk measures are statistical method to defined the individual stock or together to perform a risk assessment.

List of Risk-Adjusted Returns Ratios Measurement

Description: Risk-Adjusted Returns Ratios is an investment's return by measuring how much risk is involved in producing that return.

Author

* Tin Hang

Disclaimer

🔻 🔻 🔻

Do not use this code for investing or trading in the stock market. However, if you are interest in the stock market, you should read 📚 books, research paper, and 💻 blog that relate to stock market, investment, or finance. On the other hand, if you into quant, machine learning or deep learning, read books about 📘 machine trading, algorithmic trading, and quantitative trading. Learn from it and take notes 📓.

🔻 This is not get rich quick.

🔻 This is not financial advisor.

🔻 This is for researching and educational purposes.