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https://github.com/peterajhgraham/real_time_stock_price_dashboard
This repository houses a full-stack application which is used to create a real time stock price dashboard in Python, with the use of the streamlit and yfinance libraries.
https://github.com/peterajhgraham/real_time_stock_price_dashboard
real-time-data real-time-processing real-time-systems stock-dashboard
Last synced: 14 days ago
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This repository houses a full-stack application which is used to create a real time stock price dashboard in Python, with the use of the streamlit and yfinance libraries.
- Host: GitHub
- URL: https://github.com/peterajhgraham/real_time_stock_price_dashboard
- Owner: peterajhgraham
- License: mit
- Created: 2024-08-20T14:29:49.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-22T00:01:08.000Z (3 months ago)
- Last Synced: 2024-08-22T17:06:44.562Z (3 months ago)
- Topics: real-time-data, real-time-processing, real-time-systems, stock-dashboard
- Language: Python
- Homepage:
- Size: 327 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Real Time Stock Price Dashboard
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*!
https://github.com/user-attachments/assets/73e8ccaa-fba7-4288-9af2-376f0964c727
## 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:
```bash
git clone https://github.com/peterajhgraham/Real_Time_Stock_Price_Dashboard.git
cd Real_Time_Stock_Price_Dashboard
3. **Install the Required Packages**
Install the required Python packages using pip:
```bash
pip3 install -r requirements.txt
```
If you don't have a requirements.txt file, you can manually install the dependencies:
```bash
pip3 install streamlit yfinance pandas plotly pytz ta
```
3. **Run the Application**
Once all the dependencies are installed, you can start the Streamlit app:
```bash
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 [email protected].