EPISODE · Jul 17, 2018 · 9 MIN
Reinforcement Learning for Stock Prediction
from Siraj Raval
Can we actually predict the price of Google stock based on a dataset of price history? I’ll answer that question by building a Python demo that uses an underutilized technique in financial market prediction, reinforcement learning. The specific technique we'll use in this video is a subset of RL called Q learning. Using a combination of code, animations, and theory i'll explain how we can let our AI learn a policy for when to buy and sell google stock to maximize profit. Code for this video: https://github.com/llSourcell/Reinforcement_Learning_for_Stock_Prediction Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More Learning Resources: http://cs229.stanford.edu/proj2006/Molina-StockTradingWithRecurrentReinforcementLearning.pdf http://www.wildml.com/2018/02/introduction-to-learning-to-trade-with-reinforcement-learning/ https://medium.com/@ranko.mosic/predicting-price-movement-and-trading-using-reinforcement-learning-kearns-nevmyvaka-2013-b5a64daa34f0 https://hub.packtpub.com/develop-stock-price-predictive-model-using-reinforcement-learning-tensorflow/ https://iknowfirst.com/deep-reinforcement-learning-part-2-the-game-of-stock-trading https://www.youtube.com/watch?v=v_L9jR8P-54&list=PLQVvvaa0QuDe6ZBtkCNWNUbdaBo2vA4RO Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
What this episode covers
Can we actually predict the price of Google stock based on a dataset of price history? I’ll answer that question by building a Python demo that uses an underutilized technique in financial market prediction, reinforcement learning. The specific technique we'll use in this video is a subset of RL called Q learning. Using a combination of code, animations, and theory i'll explain how we can let our AI learn a policy for when to buy and sell google stock to maximize profit. Code for this video: https://github.com/llSourcell/Reinforcement_Learning_for_Stock_Prediction Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More Learning Resources: http://cs229.stanford.edu/proj2006/Molina-StockTradingWithRecurrentReinforcementLearning.pdf http://www.wildml.com/2018/02/introduction-to-learning-to-trade-with-reinforcement-learning/ https://medium.com/@ranko.mosic/predicting-price-movement-and-trading-using-reinforcement-learning-kearns-nevmyvaka-2013-b5a64daa34f0 https://hub.packtpub.com/develop-stock-price-predictive-model-using-reinforcement-learning-tensorflow/ https://iknowfirst.com/deep-reinforcement-learning-part-2-the-game-of-stock-trading https://www.youtube.com/watch?v=v_L9jR8P-54&list=PLQVvvaa0QuDe6ZBtkCNWNUbdaBo2vA4RO Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693
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Reinforcement Learning for Stock Prediction
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