{"id":25698004,"url":"https://github.com/highstimrequired/iv-dcf","last_synced_at":"2025-02-25T02:37:03.150Z","repository":{"id":275684158,"uuid":"926850288","full_name":"HighStimRequired/IV-DCF","owner":"HighStimRequired","description":"A Yahoo Finance powered Python program for finding the Intrinsic value of a stock using the DCF method. 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It leverages real-time financial data from [yfinance](https://pypi.org/project/yfinance/) to project future cash flows, apply discount rates, and estimate an intrinsic value per share. The app sports a dark, cozy theme with light blue accents, and it provides an option to export the calculated data to a user-specified file.\n\n## Features\n\n- **DCF Calculation** – Automatically calculates projected Free Cash Flows, discounts them, and computes a Terminal Value using the Gordon Growth Model.\n- **Real-Time Data** – Fetches real-time financial metrics (e.g., free cash flow, shares outstanding) via yfinance.\n- **Customizable Inputs** – Lets you modify discount rate, growth rate, terminal growth rate, and forecast period.\n- **Dark UI Theme** – Aesthetic dark background with light-blue accents for a cozy, readable interface.\n- **Export to File** – Exports the entire calculation and company data to a user-selected text file.\n\n## Requirements\n\n- **Python 3.7+**  \n- **yfinance** (for financial data retrieval)  \n- **tkinter** (bundled with most Python installations)\n\n## Installation\n\n1. **Clone or Download** the repository:\n   ```bash\n   git clone https://github.com/yourusername/IV-DCF.git\n   cd IV-DCF\n   ```\n2. **Install Dependencies**:\n   ```bash\n   pip install PyQt5 Pillow reportlab pdfkit markdown cairosvg\n   ```\n\n3. **Run the Application**:\n   ```bash\n   python iv_dcf_app.py\n   ```\n\n## Usage\n\n1. **Launch** the `iv_dcf_app.py` script.  \n2. **Enter** your desired stock ticker (e.g., `AAPL`), discount rate, growth rate, terminal growth rate, and forecast period.  \n3. **Click** the **\"Calculate Intrinsic Value\"** button to perform the DCF analysis.  \n4. **View** the results, including projected free cash flows, discounted values, terminal value, and overall intrinsic value.  \n5. **Export** the detailed calculation and company data by clicking **\"Export Data\"**, choosing your preferred export location.\n\n## Project Structure\n\n- **ivdcf.py** – Main Python script containing the Tkinter GUI and DCF calculation logic.  \n- **README.md** – Project documentation (this file). \n\n## Contributing\n\n1. **Fork** the project.  \n2. **Create** a new branch for your feature or bugfix.  \n3. **Commit** your changes and **open** a pull request.\n\n## License\n\nThis project is available under the **MIT License**. See the [LICENSE](LICENSE) file for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhighstimrequired%2Fiv-dcf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhighstimrequired%2Fiv-dcf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhighstimrequired%2Fiv-dcf/lists"}