Stock Optimization Algorithm

This project implements an algorithm for stock portfolio optimization based on several financial indicators. The goal is to select a set of stocks that maximizes a weighted score (based on EBITDA, Revenue Growth, Market Cap, and Price) while staying within a given budget.

Features

• Stock Selection: The algorithm calculates a weighted score for each stock based on provided weights for key financial indicators such as EBITDA, Revenue Growth, Market Cap, and Price.
• Budget Constraint: The algorithm selects stocks such that their total cost does not exceed a given budget.
• CSV Output: The selected stocks and their respective costs are saved to a CSV file for further analysis.

How It Works

1. Input:

   • Weights for EBITDA, Revenue Growth, Market Cap, and Price (each between 0 and 1).
   • Budget for the total cost of the stock portfolio.

2. Processing:

   • Reads stock data from a CSV file (stocks_cleaned.csv).
   • Calculates a weighted score for each stock based on the specified weights.
   • Sorts the stocks in descending order of their weighted score.
   • Selects stocks within the budget constraint, starting with those with the highest weighted scores.

3. Output:

   • Displays the selected stocks with their costs in a formatted table.
   • Saves the selected stocks and total cost to a CSV file (selected_stocks.csv).

Prerequisites

Before running the algorithm, ensure that you have the following:

• Java: Version 8 or later is required to compile and run the program.
• CSV File: The stocks_cleaned.csv file containing the stock data. You can replace the file with your dataset.

Sample Format of stocks_cleaned.csv

Code

Click Here for StockOptimization.java

Acknowledgment

Author: Savya Sanchi Sharma
Registration Number: 23BDS052