课程信息

23,064 次近期查看
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 3 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

您将学到的内容有

  • Understand the the structure and techniques used in reinforcement learning (RL) strategies

  • Describe the steps required to develop and test an RL trading strategy

  • Describe the methods used to optimize an RL trading strategy

您将获得的技能

Reinforcement Learning Model DevelopmentReinforcement Learning Trading Algorithm OptimizationReinforcement Learning Trading Strategy DevelopmentReinforcement Learning Trading Algo Development
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 3 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为12 小时
英语(English)
字幕:英语(English)

提供方

纽约金融学院 徽标

纽约金融学院

Google 云端平台 徽标

Google 云端平台

教学大纲 - 您将从这门课程中学到什么

1

1

完成时间为 3 小时

Introduction to Course and Reinforcement Learning

完成时间为 3 小时
10 个视频 (总计 64 分钟), 1 个阅读材料, 1 个测验
10 个视频
What is Reinforcement Learning?9分钟
History Overview2分钟
Value Iteration9分钟
Policy Iteration6分钟
TD Learning8分钟
Q Learning6分钟
Benefits of Reinforcement Learning in Your Trading Strategy6分钟
DRL Advantages for Strategy Efficiency and Performance7分钟
Introduction to Qwiklabs3分钟
1 个阅读材料
Idiosyncrasies and challenges of data driven learning in electronic trading10分钟
2

2

完成时间为 5 小时

Neural Network Based Reinforcement Learning

完成时间为 5 小时
9 个视频 (总计 39 分钟)
9 个视频
TD-Gammon3分钟
Deep Q Networks - Loss2分钟
Deep Q Networks Memory2分钟
Deep Q Networks - Code3分钟
Policy Gradients4分钟
Actor-Critic3分钟
What is LSTM?7分钟
More on LSTM4分钟
Applying LSTM to Time Series Data7分钟
3

3

完成时间为 4 小时

Portfolio Optimization

完成时间为 4 小时
10 个视频 (总计 54 分钟)
10 个视频
Steps Required to Develop a DRL Strategy7分钟
Final Checks Before Going Live with Your Strategy5分钟
Investment and Trading Risk Management4分钟
Trading Strategy Risk Management4分钟
Portfolio Risk Reduction4分钟
Why AutoML?13分钟
AutoML Vision2分钟
AutoML NLP3分钟
AutoML Tables7分钟

审阅

来自REINFORCEMENT LEARNING FOR TRADING STRATEGIES的热门评论

查看所有评论

关于 Machine Learning for Trading 专项课程

This Specialization is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning. Alternatively, this specialization can be for machine learning professionals who seek to apply their craft to quantitative trading strategies. The courses will teach you how to create various trading strategies using Python. By the end of the Specialization, you will be able to create quantitative trading strategies that you can train and implement. You will also learn how to use reinforcement learning strategies to create algorithms that can update and train themselves. To be successful in this Specialization, you should have a basic competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL will be helpful. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and a basic knowledge of financial markets (equities, bonds, derivatives, market structure, hedging)....
Machine Learning for Trading

常见问题

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

  • 是的,Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请,申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤,包括毕业项目。了解更多

  • 此课程不提供大学学分,但部分大学可能会选择接受课程证书作为学分。查看您的合作院校,了解详情。Coursera 上的在线学位Mastertrack™ 证书提供获得大学学分的机会。

还有其他问题吗?请访问 学生帮助中心