Stock Analysis for Quants

This is Stock Analysis project in Excel, 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. Many different types of technical indicators 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

Python 3.5+

R 3.0.0 +

Matlab R2016a

Excel 2016

Power BI

List of Trading Strategies

Trend-following Strategies
Algorithmic Trading Strategies
Statistical Arbitrage
Arbitrage Opportunities
Mathematical Model-based Strategies
Trading Range (Mean Reversion)
Fundamental Analysis
Technical Analysis
Swing Trading Strategy Scalping (Trading)
Day Trading
Trading the News
Trading the Signals
Social Trading

List of Portfolio Strategies

Long-term Investment
Short-term Investment
Buy and Hold
Rebalance Portfolio
Value Investment
Momentum Investment
Core and Satellite
The Dave Ramsey Portfolio
Modern Portfolio Theory (MPT)
Post-Modern Portfolio Theory (PMPT)
Tactical Asset Allocation
Constant-Weighting Asset Allocation
Strategic Asset Allocation
Dynamic Asset Allocation
Insured Asset Allocation
Integrated Asset Allocation

Authors

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 📓.