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stocky

A Stock Market Data Fetcher

stockyy

Overview

Stocky is a web application that allows users to fetch stock market data for the top 200 companies. The app provides a simple and intuitive interface for users to select a ticker symbol, start date, and end date, and then view the corresponding stock market data.

Features

  • Stock Market Data Fetching: Stocky fetches stock market data from a reliable source and displays it in a user-friendly format.
  • Ticker Symbol Selection: Users can select from a list of the top 200 companies to view their stock market data.
  • Date Range Selection: Users can select a start date and end date to view the stock market data for a specific period.
  • User-Friendly Interface: The app has a simple and intuitive interface that makes it easy for users to navigate and use.

Requirements

  • Python 3.x: Stocky is built using Python 3.x and requires it to run.
  • Streamlit: Stocky uses Streamlit to create the web interface and requires it to run.
  • yfinance: Stocky uses yfinance to fetch stock market data and requires it to run.

Installation

To install Stocky, follow these steps:

  1. Clone the repository using git clone https://github.com/your-username/stocky.git
  2. Install the required dependencies using pip install -r requirements.txt
  3. Run the app using streamlit run app.py Usage

To use Stocky, follow these steps:

  1. Open the app in your web browser by navigating to http://localhost:8501
  2. Select a ticker symbol from the list of top 200 companies
  3. Select a start date and end date to view the stock market data for a specific period
  4. Click the "Fetch" button to view the stock market data
  5. Use the interactive chart to visualize the data and explore trends and patterns

Contributing

Contributions are welcome! If you'd like to contribute to Stocky, please fork the repository and submit a pull request with your changes.

License

Stocky is licensed under the MIT License.

Acknowledgments

Stocky uses the following libraries and frameworks:

  • yfinance: for fetching stock market data
  • Streamlit: for creating the web interface
  • Python: for building the app

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