In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data. By the end of the course, you will be able to build trading strategies using reinforcement learning, differentiate between actor-based policies and value-based policies, and incorporate RL into a momentum trading strategy.
Ce cours fait partie de la Spécialisation Machine Learning for Trading
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À propos de ce cours
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
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Essayez Coursera pour les affairesCe que vous allez apprendre
Understand the structure and techniques used in reinforcement learning (RL) strategies.
Understand the benefits of using RL vs. other learning methods.
Describe the steps required to develop and test an RL trading strategy.
Describe the methods used to optimize an RL trading strategy.
Compétences que vous acquerrez
- Reinforcement Learning Model Development
- Reinforcement Learning Trading Algorithm Optimization
- Reinforcement Learning Trading Strategy Development
- Reinforcement Learning Trading Algo Development
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesProgramme de cours : ce que vous apprendrez dans ce cours
Introduction to Course and Reinforcement Learning
Neural Network Based Reinforcement Learning
Portfolio Optimization
Avis
- 5 stars34,31 %
- 4 stars25,49 %
- 3 stars19,60 %
- 2 stars7,84 %
- 1 star12,74 %
Meilleurs avis pour REINFORCEMENT LEARNING FOR TRADING STRATEGIES
After the first two courses, this one grabs you into the reinforcement learning spectrum. This topic has been revealing to me and its applications to trading
Good course introducing concepts in RL. Wish course provided more examples of using RL in stock prediction.
I look forward to examples of integration of decision based on reinforcement learning and algo-trading logic
Great introduction to some very interesting concepts. Lots of hands on examples, and plenty to learn
À propos du Spécialisation Machine Learning for Trading

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