The "Code Bulls" project focuses on implementing and backtesting various algorithmic trading strategies to analyze and optimize their market performance. Each strategy is designed to autonomously handle critical decisions, including stock selection, entry and exit timing, and comprehensive risk management protocols like position sizing. The system utilizes a modular architecture, allowing individual components to be isolated and researched independently to find local maximums or create hybrid strategies. To support this, the project integrates data from sources like Yahoo Finance and Finviz, employing tools such as Backtrader and AI agents for tasks ranging from fundamental analysis to chart pattern recognition. Ultimately, the platform aims to export detailed statistical reports and graphs, providing clear insights into metrics like win rates, average returns, and profit distribution.