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.
Este curso faz parte do Programa de cursos integrados Machine Learning for Trading
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Informações sobre o curso
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
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Experimente o Coursera for BusinessO que você vai aprender
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.
Habilidades que você terá
- 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.
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Businessoferecido por
Programa - O que você aprenderá com este curso
Introduction to Course and Reinforcement Learning
Neural Network Based Reinforcement Learning
Portfolio Optimization
Avaliações
- 5 stars34,31%
- 4 stars25,49%
- 3 stars19,60%
- 2 stars7,84%
- 1 star12,74%
Principais avaliações do REINFORCEMENT LEARNING FOR TRADING STRATEGIES
I look forward to examples of integration of decision based on reinforcement learning and algo-trading logic
perhaps an applied trading notebook would have been nice...I understand that liability issues might have arisen, but there might have been a reasonable avenue with repeat disclaimers, etc
Provide the idea and method of RL for trading, but seems like less practice knowledge for the trading. hope can add more detail for for the trading build up. overall the course are good.
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
Sobre Programa de cursos integrados Machine Learning for Trading

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