This repository contains scripts that fetch stock data and use it to build a machine learning model for predicting stock prices.

• Python 3.12.1 installed on your machine
• Download the entire folder to your local machine

1. Open a terminal or command prompt.

2. Navigate to the project directory.

3. Run the following command to install the required Python libraries:

   pip install -r requirements.txt
   

1. Open a terminal or command prompt.
2. Navigate to the project directory.

1. To predict the price of a single stock, run the following command:

   python3 ml_builder.py
   

   Note: Make sure you have the "index_symbol_list_single_stock.csv" file in the same directory as "ml_builder.py".

1. To predict the price of multiple stocks, run the following command:

   python3 stock_analyzer.py
   

   Note: Make sure you have the "index_symbol_list_multiple_stocks.csv" file in the same directory as "stock_analyzer.py".

1. Open a terminal.
2. Navigate to the project directory.

1. To predict the price of a single stock, run the following command:

   python3 ml_builder.py

   Note: Make sure you have the "index_symbol_list_single_stock.csv" file in the same directory as "ml_builder.py".

1. To predict the price of multiple stocks, run the following command:

   python3 stock_analyzer.py

   Note: Make sure you have the "index_symbol_list_multiple_stocks.csv" file in the same directory as "stock_analyzer.py".

To change the stock ticker that "ml_builder.py" predicts the price of, follow these steps:

1. Open the "index_symbol_list_single_stock.csv" file in a text editor.
2. Change the ticker to the desired stock symbol.
3. Save the file.

• "index_symbol_list_single_stock.csv" is required to run "ml_builder.py".
• "index_symbol_list_multiple_stocks.csv" is required to run "stock_analyzer.py".