# Stock_Analysis_For_Quant **Repository Path**: gzsailor/Stock_Analysis_For_Quant ## Basic Information - **Project Name**: Stock_Analysis_For_Quant - **Description**: 来自https://github.com/LastAncientOne/Stock_Analysis_For_Quant - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-05-28 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 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 researching and analyzing in trading and investment. Quantitative analysis (QA) is a technique that use mathematices and statistical modeling, measurement, and research for understanding financial 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. :chart_with_upwards_trend: :chart_with_downwards_trend: # Prerequistes Python 3.5+ R 3.0.0 + Matlab R2016a Excel 2016 Power BI # 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. :large_blue_diamond: Trend-following Strategies Algorithmic Trading Strategies Statistical Arbitrage Arbitrage Opportunities Index Fund Rebalancing 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 Value Investing Performance Analysis Quantitative Analysis # List of Portfolio Strategies #### Description: Portfolio strategies is an investment method for investors to use their assets to achieve their financial goals. :large_blue_diamond: Long-term Investment Short-term Investment Buy and Hold Rebalance Portfolio Value Investment Momentum Investment Core and Satellite The Dave Ramsey Portfolio Capital Asset Pricing Model (CAPM) Modern Portfolio Theory (MPT) Post-Modern Portfolio Theory (PMPT) Portfolio Allocation Portfolio Optimization Markowitz Portfolio Optimization Theory Minimum-Variance Portfolios (Global Minimum-variance Portfolio) Global Portfolio Optimization (The Black Litterman) Tactical Asset Allocation Constant-Weighting Asset Allocation Strategic Asset Allocation Dynamic Asset Allocation Insured Asset Allocation Integrated Asset Allocation ETFs Asset Allocation Bonds Asset Allocation Mutual Funds Asset Allocation Commodities Asset Allocation Portfolio Insurance Constant Proportion Portfolio Insurance (CPPI) Presidental Stock Portfolio Obama Stock Portfolio Trump Stock Portfolio # List Type of Risks #### Description: Risk measures are statistical method to defined the individual stock or together to perform a risk assessment. :large_blue_diamond: Trade Risk Position Size Risk Market Risk Margin Risk Liquidity Risk Overnight Risk Volatility Risk # 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. :large_blue_diamond: Appraisal Ratio Bernardo Ledoit Ratio Burke Ratio Calmar Ratio Conditional Sharpe Ratio Gain Loss Ratio Information Ratio Kappa Three Ratio Martin Ratio Modigliani Ratio Omega Ratio Pain Ratio Risk-adjusted return on capital (RAROC) Sterling Ratio Sharpe Ratio Sortino Ratio Treynor Ratio Upside Potential Ratio ## Author ### * Tin Hang # Disclaimer ## :warning: #### 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: books, research paper, and :computer: 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 :notebook:. ## :black_medium_square: This is not get rich quick. ## :black_medium_square: This is not financial advisor. ## :black_medium_square: This is for researching and educational purposes.