Stock Investment Simulator

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Introduction

This project provides tools for simulating stock investments using historical data. It features a Python-based environment for fetching stock data, simulating investments, and visualizing investment outcomes.

Features

• Data extraction from Yahoo Finance API.
• Simulation of stock investments based on historical data.
• Graphical representation of investment performance.
• Ability to process a list of stock tickers from a JSON file.

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Installation and Setup

Prerequisites

• Python 3.8 or higher
• Pip (Python package manager)

Setting Up a Virtual Environment

It's recommended to use a virtual environment to avoid conflicts with other Python projects or system-wide packages. To set up a virtual environment, navigate to the project's root directory and run:

python -m venv venv

To activate the virtual environment:

• On Windows:

.\venv\Scripts\activate

• On macOS and Linux:

source venv/bin/activate

Installing Dependencies

With the virtual environment activated, install the required packages using:

pip install -r requirements.txt

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Usage

Before starting to use the project, make sure that the paths within src/settings/config.py are created

Data Processor

The data_processor.py script is used to fetch and save historical stock data. The stock tickers are read from a JSON file named stocks.json.

Create a stocks.json file in the project root with the following format:

{
    "data": [
        "AAPL",
        "MSFT",
        "GOOGL",
        ...
    ]
}

Run the data_processor.py script:

python data_processor.py

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Investment Simulation

Use main.py to simulate investments based on the fetched data.

1. Edit main.py to specify the stock ticker, purchase date, and sale date.

2. Run the script:

python main.py

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License

This project is open-sourced and available to everyone under the MIT License.