Welcome to the Investment Analysis Application! This interactive tool helps users evaluate investment opportunities across various industries, calculate an investability index, and allocate funds based on selected companies.
- Currency & Fund Selection: Choose your investment currency and fund amount.
- Investability Index Calculator: Assess industries based on multiple parameters.
- Investment Allocation: Determine how to allocate your funds among selected companies.
- Industry Insights: Get detailed insights into various industries and their growth potential.
- Streamlit: For creating the web application.
- Pandas: For data manipulation and management.
- NumPy: For numerical calculations.
To run this application, you need to have Python installed along with the following packages:
pip install streamlit pandas numpy matplotlib-
Clone this repository:
git clone <repository_url> cd <repository_directory>
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Run the Streamlit application:
streamlit run app.py
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Open your web browser and navigate to
http://localhost:8501.
- Currency Selection: Choose between INR and USD.
- Fund Selection: Select a predefined fund amount or enter a custom value.
- Select an industry from the dropdown.
- Adjust sliders to evaluate various parameters like market growth, profitability, and management quality.
- Enter a company name to add it for investment consideration.
- View selected companies and their investability scores.
- The application automatically calculates and displays the recommended investment distribution based on the total fund and selected companies.
- Get detailed insights into the selected industries, including CAGR, market growth potential, profitability, and notable startups and giants.
The application covers various industries, including:
- Fintech
- Pharma
- EV & Automobiles
- EdTech
- Renewable Energy
- AgriTech
- SpaceTech
- HealthTech
- Cybersecurity
- Gaming
- D2C Brands
- Cloud Computing
- Logistics
- WaterTech
- FoodTech
Each industry includes information on CAGR, market growth potential, profitability, and examples of startups and giants.
If you wish to contribute to this project, feel free to submit a pull request or open an issue.
This project is licensed under the MIT License.
Thank you for participating in the IIT Delhi case competition. We hope this application helps you make informed investment decisions.
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