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.
Familiarization with basic concepts in Machine Learning and Financial Markets; advanced competency in Python Programming.
- 5 stars34.31%
- 4 stars25.49%
- 3 stars19.60%
- 2 stars7.84%
- 1 star12.74%
来自REINFORCEMENT LEARNING FOR TRADING STRATEGIES的热门评论
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.
Good course introducing concepts in RL. Wish course provided more examples of using RL in stock prediction.
Great introduction to some very interesting concepts. Lots of hands on examples, and plenty to learn
The course covers broad and important topics on using AI for trading, but one will need to dig more quite extensively on alternative sources to deepen one's understanding