Real Time Stock Price Dashboard

This was originally made for my grandmother who loves investing :)

This project is a real-time full-stack stock price dashboard built using Python, Streamlit, Plotly, and various financial data analysis tools. The dashboard allows users to visualize stock prices, apply technical indicators such as SMA 20, EMA20, and RSI14, and monitor real-time prices of selected stocks.

Enjoy a stock price dashboard that you can run right in your terminal!

stock_dashboard.mov

Directory Structure

Real_Time_Stock_Price_Dashboard/
├── stock_dashboard.py
├── requirements.txt
├── README.md
├── LICENSE
└── Example.png

Features

• Real-Time Data: Fetches and displays real-time stock data.
• Customizable Charts: Supports candlestick and line charts.
• Technical Indicators: Includes Simple Moving Average (SMA) and Exponential Moving Average (EMA).
• Historical Data: View and analyze historical stock data.
• Multiple Tickers: Monitor multiple stock symbols in real-time.

Installation

Prerequisites

Ensure that you have Python 3.8 or higher installed on your machine. You'll also need to install the following Python libraries:

• streamlit
• yfinance
• pandas
• plotly
• ta (Technical Analysis library)

Steps to Install

1. Clone the Repository

   First, clone the repository to your local machine:

   git clone https://github.com/peterajhgraham/Real_Time_Stock_Price_Dashboard.git
   cd Real_Time_Stock_Price_Dashboard
   

2. Install the Required Packages

   Install the required Python packages using pip:

   pip3 install -r requirements.txt

   If you don't have a requirements.txt file, you can manually install the dependencies:

   pip3 install streamlit yfinance pandas plotly pytz ta

3. Run the Application

   Once all the dependencies are installed, you can start the Streamlit app:

   python3 -m streamlit run stock_dashboard.py

   This command will launch the dashboard in your web browser!

   Example:

   

Usage

Interface Overview

• Ticker - Enter the stock ticker symbol you want to analyze (e.g., AAPL for Apple Inc.)

• Time Period - Select the time period over which you want to view the stock data (e.g., 1d, 1wk, 1mo, 1y, etc.)

• Chart Type - Choose between a candlestick chart and a line chart

• Technical Indicators - Select one or more technical indicators to apply to the chart

Real-Time Stock Prices

The sidebar displays the real-time prices for a predefined list of stock symbols (e.g., AAPL, GOOGL, AMZN, MSFT). These prices update automatically and show the percentage change from the opening price.

Customization

You can easily modify the list of stock symbols monitored in real-time by editing the stock_symbols list in the app.py file.

Example Usage

1. Monitoring Apple Stock in Real-Time:

   • Enter AAPL in the ticker input

   • Select 1d for the time period

   • Choose the Candlestick chart type

   • Select SMA 20, EMA 20, & RSI 14 for technical indicators

   • Click Update to visualize the data

2. Viewing Historical Data:

   • Select a longer time period (e.g., 1y)

   • Use the Line chart type for a smooth trend visualization.

   • Analyze the historical data displayed below the chart.

Known Issues

• Data Fetching Errors: If no data is returned for a given ticker, an error message will be displayed. Ensure that the ticker symbol is correct and try again.

Contributing

Contributions are welcome! If you have ideas for new features, elements, or enhancements, feel free to fork the repository and submit a pull request. Please ensure your code follows geenral best practices and is well-documented.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

For questions or support, please contact me at peter_graham@brown.edu.