zazabap / Investment

Investment Coding Toolkit

Overview

Welcome to the Investment Coding Toolkit! This toolkit is designed to assist developers and financial analysts in coding for investment-related tasks. Whether you are building financial models, analyzing market data, or implementing trading algorithms, this toolkit provides a set of tools and guidelines to streamline your coding process.

Table of Contents

1. Getting Started

   • Prerequisites
   • Installation

2. Features

   • Financial Modeling
   • Market Data Analysis
   • Trading Algorithms

3. Usage

   • Examples
   • Best Practices

4. Contributing

   • Code Style
   • Reporting Bugs
   • Submitting Changes

5. License

Getting Started

Prerequisites

Before using this toolkit, make sure you have the following installed:

• Python 3.x
• Jupyter Notebook (optional but recommended for interactive analysis)

Installation

1. Clone this repository to your local machine:

   git clone https://github.com/your-username/investment-coding-toolkit.git

2. Navigate to the toolkit directory:

   cd investment-coding-toolkit

3. Install the required dependencies:

   pip install -r requirements.txt

Features

Financial Modeling

This toolkit provides modules for building financial models, including discounted cash flow (DCF) analysis, valuation models, and risk assessment.

Market Data Analysis

Utilize the toolkit to fetch and analyze market data, including historical stock prices, economic indicators, and news sentiment analysis.

Trading Algorithms

Implement and test your trading algorithms using the built-in modules for algorithmic trading. Strategies such as moving averages, mean-reversion, and trend-following are included.

Usage

Examples

Check out the examples directory for sample code and Jupyter Notebooks demonstrating the usage of various features within the toolkit.

Best Practices

Follow best practices for coding in the financial domain, including proper error handling, documentation, and unit testing. Ensure compliance with industry standards and regulations.

Contributing

We welcome contributions from the community. If you find a bug or have an enhancement in mind, please follow the guidelines below.

Code Style

Adhere to the PEP 8 style guide for Python code. Consistent formatting makes the codebase more readable and maintainable.

Reporting Bugs

Use the issue tracker to report bugs. Include detailed information about the issue, steps to reproduce it, and your environment.

Submitting Changes

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and ensure all tests pass.
4. Submit a pull request with a clear description of your changes.

License

This toolkit is licensed under the MIT License - see the LICENSE file for details.

Happy coding and happy investing! 🚀

Rules for investment

1. Do NOT buy stocks on Fridays
2. 20 Days Closing price and 50 days Closing price are indicators.