manish-jsx / dataApps_using_Streamlit

Deploying Machine Learning Trained Models at Work

Home Page:https://stock-price-yfinance.streamlit.app/

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Simple Stock Price App

This is a simple web application to fetch and display historical stock prices using Streamlit and Yahoo Finance.

Screenshots

App Screenshot

Features

  • User can input a stock ticker symbol.
  • Displays historical closing prices of the stock.
  • Shows basic statistics of the stock data.

Installation

  1. Clone the repository or download the source code.
  2. Navigate to the project directory.
cd simple-stock-price-app
  1. Install the required dependencies.
pip install -r requirements.txt

Running the App

To run the Streamlit app, use the following command:

streamlit run streamlit_app.py

This will start a local server and open the app in your default web browser.

File Structure

  • streamlit_app.py: Main Streamlit application script.
  • requirements.txt: List of dependencies.
  • .streamlit/config.toml: Configuration file for Streamlit.
  • README.md: Project overview and instructions.

Usage

  1. Open the app in your web browser.
  2. Enter a stock ticker symbol (e.g., AAPL for Apple Inc.).
  3. View the historical closing prices and basic statistics.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

About

Deploying Machine Learning Trained Models at Work

https://stock-price-yfinance.streamlit.app/


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