This project is aimed at analyzing and reporting stock market data for various companies over a specified period. The dataset used in this project contains historical stock market data for multiple companies, including information such as the opening price, closing price, high and low prices, trading volume, turnover, and more.
Dataset Description The dataset consists of the following columns:
Date: The date of the trading day. Symbol: The symbol or ticker of the company. Series: The series of the stock (e.g., EQ for equity). Prev Close: The previous day's closing price. Open: The opening price of the stock on the trading day. High: The highest price of the stock during the trading day. Low: The lowest price of the stock during the trading day. Last: The last traded price of the stock during the trading day. Close: The closing price of the stock on the trading day. VWAP: Volume Weighted Average Price. Volume: The total volume of stocks traded on the trading day. Turnover: The total monetary value of stocks traded on the trading day. Trades: The total number of trades that occurred on the trading day. Deliverable Volume: The volume of stocks that were delivered (settled) during trading. %Deliverble: Percentage of deliverable volume to total volume. Company Name: The name of the company. Industry: The industry to which the company belongs. ISIN Code: International Securities Identification Number.
Usage: Data Exploration: Explore the dataset to gain insights into the stock market trends for different companies over time.
Data Analysis: Perform various analyses such as trend analysis, volatility analysis, and correlation analysis to understand the behavior of different stocks and identify potential investment opportunities.
Visualization: Visualize the data using charts, graphs, and other visual aids to present findings and insights effectively.
Reporting: Generate reports summarizing the analysis results and key findings for stakeholders, investors, or decision-makers.