Releases: Visionary-Code-Works/StockAnalysisProgram
v1.0.8
What's Changed
- Create jekyll-gh-pages.yml by @thomasthaddeus in #10
- Update python_publish.yml by @thomasthaddeus in #12
- update some of the documentation by @thomasthaddeus in #11
Full Changelog: v1.0.7...v1.0.8
v1.0.7
v1.0.5
- add tests for python src code
- fix functions so they stop producing errors
What's Changed
- Merge pull request #1 from Visionary-Code-Works/fmckenzie05-patch-1 by @thomasthaddeus in #3
- Merge pull request #3 from Visionary-Code-Works/main by @thomasthaddeus in #4
New Contributors
- @thomasthaddeus made their first contribution in #3
Full Changelog: v1.0.4...v1.0.5
v1.0.4: Merge pull request #1 from Visionary-Code-Works/fmckenzie05-patch-1
Fix Readme add Authors
Full Changelog: v1.0.3...v1.0.4
- Add authors to metadata!
- Fix README
- Link To Documentation
Fixes previous releases
Full Changelog: v1.0.2...v1.0.3
Stock Analysis Program v1.0.2
We are excited to announce the release of the Stock Analysis Program v1.0.2! This first major release marks a significant milestone in providing an accessible and powerful tool for financial data analysis and visualization. Our tool is designed for financial analysts, traders, and enthusiasts to gain insights into stock market trends and metrics.
Features
- Historical Data Retrieval: Fetch historical stock data, including closing prices, high, low, and volume for a given stock ticker.
- Financial Summary: Access detailed summary information for various stocks, including sector, industry, market cap, and more.
- Financial Metrics Analysis: Gather and analyze key financial metrics such as PE ratio, market capitalization, and profit margins.
- Revenue Growth Calculation: Compute and display year-over-year revenue growth for multiple stocks.
- Data Visualization: Create informative and interactive plots for stock prices, moving averages, financial metrics, and revenue growth.
- Comparative Index Analysis: Compare the performance of different stock indices through normalized closing price visualization.
- Live Price Ticker Display: Real-time display of current stock prices in a dynamic, ticker-like format.
Enhancements
- Improved Data Fetching: Optimized data fetching mechanisms for faster and more reliable data retrieval.
- Enhanced Visualization: Introduced new plotting features for better visual representation of financial data.
- User-Friendly Interface: Streamlined interfaces for easier interaction with the program's functionalities.
Fixes
- Fixed issues with data inconsistencies in financial metrics fetching.
- Resolved timezone discrepancies in historical data retrieval.
- Enhanced error handling across various modules for smoother user experiences.
Getting Started
To get started with the Stock Analysis Program, simply clone the repository, install the required dependencies, and explore the functionalities offered by different modules. Detailed instructions are available in the project's README.
Contributions
Contributions are welcome! If you'd like to improve the program or add new features, please feel free to fork the repository, make your changes, and submit a pull request.
Acknowledgments
A big thank you to all contributors and users who have provided feedback, submitted issues, and contributed to the code. Your support has been invaluable in making this release possible.
For more information on this release, including a full list of commits and changes, please visit our GitHub repository.
Stock Analysis Program v1.0.1
We are excited to announce the release of the Stock Analysis Program v1.0.1! This first major release marks a significant milestone in providing an accessible and powerful tool for financial data analysis and visualization. Our tool is designed for financial analysts, traders, and enthusiasts to gain insights into stock market trends and metrics.
Features
- Historical Data Retrieval: Fetch historical stock data, including closing prices, high, low, and volume for a given stock ticker.
- Financial Summary: Access detailed summary information for various stocks, including sector, industry, market cap, and more.
- Financial Metrics Analysis: Gather and analyze key financial metrics such as PE ratio, market capitalization, and profit margins.
- Revenue Growth Calculation: Compute and display year-over-year revenue growth for multiple stocks.
- Data Visualization: Create informative and interactive plots for stock prices, moving averages, financial metrics, and revenue growth.
- Comparative Index Analysis: Compare the performance of different stock indices through normalized closing price visualization.
- Live Price Ticker Display: Real-time display of current stock prices in a dynamic, ticker-like format.
Enhancements
- Improved Data Fetching: Optimized data fetching mechanisms for faster and more reliable data retrieval.
- Enhanced Visualization: Introduced new plotting features for better visual representation of financial data.
- User-Friendly Interface: Streamlined interfaces for easier interaction with the program's functionalities.
Fixes
- Fixed issues with data inconsistencies in financial metrics fetching.
- Resolved timezone discrepancies in historical data retrieval.
- Enhanced error handling across various modules for smoother user experiences.
Getting Started
To get started with the Stock Analysis Program, simply clone the repository, install the required dependencies, and explore the functionalities offered by different modules. Detailed instructions are available in the project's README.
Contributions
Contributions are welcome! If you'd like to improve the program or add new features, please feel free to fork the repository, make your changes, and submit a pull request.
Acknowledgments
A big thank you to all contributors and users who have provided feedback, submitted issues, and contributed to the code. Your support has been invaluable in making this release possible.
For more information on this release, including a full list of commits and changes, please visit our GitHub repository.