by tresson

Investment Growth Simulator

Test this app for free
42
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app

# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()

# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

class StandaloneApplication(BaseApplication):
    def __init__(self, app, options=None):
        self.application = app
        self.options = options or {}
        super().__init__()

    def load_config(self):
        # Apply configuration to Gunicorn
        for key, value in self.options.items():
            if key in self.cfg.settings and value is not None:
                self.cfg.set(key.lower(), value)

    def load(self):
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Created: | Last Updated:

Interactive tool for simulating investment growth over time, allowing users to input initial amount, interest rate, and adjustment milestones, with monthly breakdowns displayed in a tabulated format.

Introduction to the Investment Growth Simulator Template

The Investment Growth Simulator is an interactive tool designed to help users simulate the growth of their investments over time. Users can input their initial investment amount, annual interest rate, and other parameters to see a detailed monthly breakdown of their investment growth. This template includes a responsive header for both mobile and desktop views, a form for user input, and a table to display the results.

Getting Started

To get started with the Investment Growth Simulator template, follow these steps:

  1. Click "Start with this Template": This will load the template into the Lazy Builder interface.

Test the Application

  1. Press the Test Button: This will deploy the app and launch the Lazy CLI. The CLI will guide you through any required user input.

Entering Input

After pressing the Test button, you will be prompted to provide the following inputs through the Lazy CLI:

  • Initial Investment Amount (USD)
  • Annual Interest Rate (%)
  • Investment Term (Years)
  • Exchange Rate (USD to Local Currency)

These inputs are required to simulate the investment growth.

Using the App

Once the app is deployed, you can interact with it through the provided interface:

  1. Header: The header includes a responsive navigation menu that adapts to both mobile and desktop views.
  2. Form: Fill out the form with your investment details:
  3. Initial Investment Amount (USD)
  4. Annual Interest Rate (%)
  5. Investment Term (Years)
  6. Exchange Rate (USD to Local Currency)
  7. Calculate: Click the "Calculate" button to submit the form and see the results.
  8. Results: The results will be displayed in a table format, showing a monthly breakdown of your investment growth.

Integrating the App

If you need to integrate this app with other tools or services, follow these steps:

  1. API Endpoint: The app provides an endpoint /calculate to handle investment calculations. You can make a POST request to this endpoint with the required parameters to get the investment growth data.

Sample Request

bash curl -X POST http://<your-app-url>/calculate \ -F 'initial-amount=10000' \ -F 'annual-interest-rate=5' \ -F 'investment-term=5' \ -F 'exchange-rate=1.2'

Sample Response

json [ { "month": 1, "date": "Jan 2023", "initial_balance_usd": 10000.00, "interest_earned_usd": 41.67, "adjustment_usd": 0.00, "ending_balance_usd": 10041.67, "ending_balance_local": 12050.00 }, ... ]

Conclusion

The Investment Growth Simulator template is a powerful tool for visualizing the growth of investments over time. By following the steps outlined in this article, you can easily deploy and use the app to simulate various investment scenarios. If you need to integrate the app with other tools, use the provided API endpoint to fetch investment growth data programmatically.

Technologies

Optimize AWS Workflows with Lazy AI: Automate Deployments, Scaling, Monitoring and More Optimize AWS Workflows with Lazy AI: Automate Deployments, Scaling, Monitoring and More

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