PYSTOCKTOPUS GUI Application

This repository contains a Python GUI application that provides a user-friendly interface to interact with the pystocktopus package. The GUI enables users to easily generate stock CSV files, predict next-day closing prices, and perform news analysis for stocks by interacting with APIs like Polygon.io and NewsAPI.

The application is built using the tkinter library for the GUI and integrates with the pystocktopus package for backend stock data extraction, prediction, and analysis.

Features

• API Key Submission: Submit your API keys for Polygon.io and NewsAPI directly through the GUI.
• Stock CSV Generator: Generate a CSV file containing stock data for a given date range, ticker, timespan, and multiplier.
• Next-Day Stock Prediction: Predict the next day's stock closing price using an LSTM model, trained with custom parameters such as epochs and learning rate.
• News Analysis: Analyze recent news for a specific stock, with an option to select the timeframe and extract sentiment analysis.

Prerequisites

To run this application, you need the following:

• Python 3.7+
• API keys for Polygon.io and NewsAPI

Installation

1. Clone this repository:

   git clone https://github.com/your-username/pystocktopus-gui.git
   cd pystocktopus-gui

2. Install the required Python packages:

   pip install -r requirements.txt

3. Install pystocktopus via pip:

   pip install pystocktopus

4. You will also need the tkinter and tkcalendar modules:

   pip install tk tkcalendar

Usage

1. Run the Python script:

   python main.py

2. Upon first launch, you will be prompted to enter your Polygon.io and NewsAPI API keys. These keys will be saved in a .env file for future use.

3. After successful API key submission, you will be taken to the main menu, where you can:

   • Generate CSV for Stock Data: Input stock ticker, timespan, and date range, and generate a CSV file with stock data.
   • Predict Next-Day Closing Price: Upload a CSV file, specify the model parameters (epochs, learning rate, etc.), and get the predicted closing price.
   • Analyze Stock News: Input stock name and timeframe to analyze recent news for sentiment.

Files

• main.py: Main Python script containing the GUI implementation.
• .env: Environment file for storing API keys (automatically generated after first launch).

Requirements

• pystocktopus (Core library for stock data extraction, news analysis, and stock forecasting)
• tkinter (Python's standard GUI library)
• tkcalendar (For calendar widgets in the GUI)
• dotenv (To manage environment variables)

Acknowledgments

This application is built on top of the pystocktopus library. Special thanks to the developers for providing a powerful API to work with stock data, news analysis, and predictions.

License

This project is licensed under the MIT License - see the LICENSE file for details.