Trade-O-meter by Mehrin - Financial Trading Data Analysis

This Shiny app provides a comprehensive tool for analyzing financial trading data, including stock symbols, buy/sell pressures, and market trends. Users can upload their own CSV files or use real-time data from the Dhaka Stock Exchange. The app offers dynamic gauge plots that visualize buy/sell pressure across different time intervals.

Features

• Upload CSV Files: Analyze trading data by uploading CSV files.
• Buy/Sell Pressure Visualization: Gauge plots display the balance between buy and sell pressures as percentages.
• Custom Time Range: Select a custom time range to focus on specific intervals of trading data.
• Data Cleaning: Automatically removes irrelevant symbols and characters from trading data.
• Dynamic Time Intervals: Visualizes buy/sell pressures for multiple predefined time intervals.
• Custom Plot: Users can analyze a specified custom time range using the custom plot feature.
• Responsive Design: The app layout adapts to different screen sizes, ensuring all visualizations are clear and accessible.

How to Use

1. Upload Data:

   • Upload CSV files (up to 50 MB) for analysis.
   • The data should include relevant columns such as time, stock symbols, price, change, turnover, and buy/sell information.

2. Select Symbol:

   • Choose a stock symbol from the dropdown to analyze.

3. Visualize Data:

   • The app generates a gauge plot for each time interval, displaying the buy/sell pressure as percentages.

4. Custom Time Range:

   • Specify a start and end time in the format "HH:MM:SS" for a custom plot.
   • Click the "Analyze Custom Time" button to view the data for the selected time range.

5. Refresh Plots:

   • Update visualizations with new data or select a different stock symbol for comparison.

Installation

1. Clone the repository:

   git clone <repository-url>

2. Install the required R packages:

   install.packages(c("shiny", "plotly", "dplyr", "ggplot2", "readr"))

3. Run the Shiny app:

   shiny::runApp()

The project is done for LankaBangla Securities Ltd (LBSL). LBSL is the owner of the data.

Mehrinspeedometer000.Rmd is the program and 10.06.2024 All Trade_data_OMS.csv is the dataset that can be used to run the data.