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.
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uttej2001/StockBot-Real-Time-Trading-Assistant
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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.
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