Fix the GUI and minor Bugs

1. Black Formatting.
2. Implementation of Logging System.
3. Add improved Model (RNN) for predictions of Closing Prices.
4. Add Improved Pipeline Model for News Sentiment Analysis
5. Fix the GUI Implementation

Fix the Minor Bugs

1. Black Formatting.
2. Implementation of Logging System.
3. Add improved Model (RNN) for predictions of Closing Prices.
4. Add Improved Pipeline Model for News Sentiment Analysis

Release of GUI Executable file

1. Released GUI interface. Access it using

pip install pystocktopus
python -m pystocktopus

Release for GUI Version

This is not relevent for terminal calling

Fix the release

Mentioned the new release in Build

v.0.1.4

1. Refactor the LSTM Model to predict more accurate output
2. Refactor the news analysis to handle larger data

v0.1.2

New Features:

• News sentiment prediction token fix to 552 words
• Current closing price extraction
• Extract the Closing price of Ticker
• Data extraction in form of CSV
• Link to Documentation in pypi website
• Fix bug in core.py file

v0.1.1

Bug Fixes:

• fixed the project orientation
• Add example for model class
• Add doc link to pypi org

v0.1

Released pystocktopus a powerful Python package for Python 3.7+ designed to simplify stock data management, analysis, prediction and also use the news sentiments of stocks volatality.

New Features:

• News sentiment prediction
• Interactive charts
• Current closing price extraction
• Extract the Closing price of Ticker