uttej2001 / StockBot-Real-Time-Trading-Assistant

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.

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StockBot-Real-Time-Trading-Assistant

Reinforcement Learning Course Project: 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. Stay tuned as we harness the power of the best model to create an automated trading application with real-time stock data which gives us the maximum reward points and profits by trading the initial starting amount assigned to the trading bot in least amount of time.

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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.

License:MIT License


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Language:Jupyter Notebook 97.6%Language:Python 2.4%