Developed a cutting-edge Stock Trading bot leveraging real-time closing price data. Our experiment compared four distinct agents: Policy Gradient, Q-learning, Moving Average, and Actor Critic.

StockBotWebApp is a full-stack, voice-enabled trading platform I’ve always wanted to build. It pairs a Next.js frontend with an Express API and a Python FastAPI StockBot for analysis, backtesting, and real-time broker connectivity (Schwab, Alpaca). Features include the Jarvis assistant for voice interaction, secure env management via Infisical

We wanted to build a Stock Trading bot that works with real-time stock closing price data.  We attempted to compare the outcomes of the following agents: Policy Gradient Agent, Q-learning Agent, Moving Average Agent, and Actor Critic Agent. So we created an application that uses real-time stock data for automatic trading using the best model.