Shubhpreet Kaur@Shubhpreet

AI Stock Trading Agent is an AI-powered financial analysis system designed to assist users in making data-driven stock trading decisions. The agent collects and analyzes historical and real-time market data such as stock prices, trading volume, technical indicators, and market trends. Using Machine Learning models and AI-based analysis, it identifies patterns and predicts potential price movements. The system can generate Buy, Sell, or Hold signals based on the analyzed market conditions. It can also evaluate factors such as moving averages, RSI, MACD, volatility, and market momentum to improve its decision-making process. An AI agent can continuously monitor market conditions, analyze multiple stocks, and provide insights through an interactive dashboard. The project can be further enhanced with portfolio management, risk assessment, news/sentiment analysis, automated backtesting, and paper trading features. Rather than guaranteeing profits, the system is intended as a decision-support and educational tool that demonstrates how AI and ML can be applied to financial markets.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.