https://github.com/dor-sketch/sp-leverage-simulation

https://github.com/dor-sketch/sp-leverage-simulation

financial-analysis simulation stock-market stocks

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/dor-sketch/sp-leverage-simulation
• Owner: Dor-sketch
• License: mit
• Created: 2024-08-02T08:09:07.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-02T10:23:31.000Z (5 months ago)
• Last Synced: 2024-08-02T11:42:37.463Z (5 months ago)
• Topics: financial-analysis, simulation, stock-market, stocks
• Language: Python
• Homepage: https://dorpascal.com/sp-leverage-simulation/
• Size: 2.46 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# S&P Leverage Simulation

This web application simulates the effect of leverage on S&P 500 investments over time. It allows users to upload historical S&P 500 data, choose a starting point, adjust the leverage factor, and visualize the results.

## Features

- Load default S&P 500 historical data

- Upload custom CSV files with historical data

- Select a starting point for the simulation

- Adjust the leverage factor

- Visualize the simulation results with an interactive chart

- Compare leveraged and non-leveraged investment strategies

## Installation

1. Clone this repository or download the source code.

2. Open the `index.html` file in a web browser.

No additional installation steps are required as the application runs entirely in the browser.

## Usage

1. Open the application in a web browser.

2. (Optional) Upload a custom CSV file with S&P 500 historical data.

3. Choose a starting point from the dropdown menu.

4. Adjust the leverage factor using the slider.

5. Click the "Start Simulation" button to run the simulation and display the results.

## CSV File Format

The application expects CSV files to have the following format:

```csv

Date,Close,Open,High,Low

YYYY-MM-DD,xxxx.xx,xxxx.xx,xxxx.xx,xxxx.xx

```

Ensure that your CSV file follows this format for proper functionality.

## Technologies Used

- HTML5

- CSS3

- JavaScript (ES6+)

- Chart.js for data visualization

- Chart.js Data Labels plugin

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is open source and available under the [MIT License](LICENSE).

## Disclaimer

This application is for educational and demonstration purposes only. It does not provide financial advice, and the simulations should not be used as a basis for real-world investment decisions.