Quantitative Analysis of Stock Market

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Overview

The given dataset is a rich resource for performing in-depth quantitative analysis, offering comprehensive insights into market trends and stock behaviour. Key characteristics of the dataset are:

• Ticker: The stock ticker symbol.
• Date: The specific trading date.
• Open: Opening price of the stock for the day.
• High: Highest price point of the stock during the day.
• Low: Lowest price point during the day.
• Close: Closing price of the stock.
• Adj Close: Adjusted closing price, factoring in corporate actions like splits.
• Volume: Total trading volume of the stock.

Objectives

Your task is to perform quantitative analysis to gain a deeper understanding of stock market dynamics and to inform investment strategies. The specific goals include:

• Trend Analysis: Identifying long-term trends in stock prices and market movements.
• Volatility Assessment: Evaluating the stability and risk associated with different stocks based on their price fluctuations.
• Correlation Study: Investigating how different stocks correlate with each other, understanding market segments and diversification opportunities.
• Risk-Return Trade-off Analysis: Analyzing the balance between the potential risks and rewards of different stocks, aiding in portfolio management.