This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading. By the end of the course, you will be able to design basic quantitative trading strategies, build machine learning models using Keras and TensorFlow, build a pair trading strategy prediction model and back test it, and build a momentum-based trading model and back test it.
Ce cours fait partie de la Spécialisation Machine Learning for Trading
15 590 déjà inscrits
Offert par
New York Institute of Finance
Google Cloud
Spécialisation Machine Learning for TradingNew York Institute of FinanceÀ propos de ce cours
22 193 consultations récentes
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 3 dans le
Niveau intermédiaire
- Basic competency in Python, familiarity with the Scikit Learn, Statsmodels and Pandas library.
- Familiarity with statistics, financial markets, ML
Approx. 19 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
Design basic quantitative trading strategies
Use Keras and Tensorflow to build machine learning models
Build a pair trading strategy prediction model and back test it.
Build a momentum-based trading model and back test it.
Compétences que vous acquerrez
- Algorithmic Trading
- Python Programming
- Machine Learning
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 2 sur 3 dans le
Niveau intermédiaire
- Basic competency in Python, familiarity with the Scikit Learn, Statsmodels and Pandas library.
- Familiarity with statistics, financial markets, ML
Approx. 19 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
New York Institute of Finance
The New York Institute of Finance (NYIF), is a global leader in training for financial services and related industries. Started by the New York Stock Exchange in 1922, it now trains 250,000+ professionals in over 120 countries. NYIF courses cover everything from investment banking, asset pricing, insurance and market structure to financial modeling, treasury operations, and accounting. The institute has a faculty of industry leaders and offers a range of program delivery options, including self-study, online courses, and in-person classes. Its US customers include the SEC, the Treasury, Morgan Stanley, Bank of America and most leading worldwide banks.
Google Cloud
We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.
Programme de cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
Introduction to Quantitative Trading and TensorFlow
In this module we discuss the key components that are common to every trading strategy, no matter how complex. This foundation will help guide you as you develop more advanced strategies using machine learning techniques.
1 heure pour terminer
4 vidéos (Total 23 min), 1 lecture, 1 quiz
4 heures pour terminer
Introduction to TensorFlow
4 heures pour terminer
11 vidéos (Total 50 min)
3 heures pour terminer
Training neural networks with Tensorflow 2 and Keras
3 heures pour terminer
12 vidéos (Total 53 min)
6 heures pour terminer
Build a Momentum-based Trading System
Momentum trading is a strategy in which traders buy or sell assets according to the strength of recent price trends. Price momentum is similar to momentum in physics, where mass multiplied by velocity determines the persistence with which an object will follow its current path (like a heavy train on a track). In financial markets, however, momentum is determined by other factors like trading volume and rate of price changes. Momentum traders bet that an asset price that is moving strongly in a given direction will continue to move in that direction until the trend loses strength or reverses. This module teaches you all about momentum trading.
6 heures pour terminer
12 vidéos (Total 68 min), 1 lecture, 2 quiz
5 heures pour terminer
Build a Pair Trading Strategy Prediction Model
In this module, we introduce pairs trading. We will discuss what pairs trading is, and how you can make money doing it. We will discuss what you need to know about the members to form a suitable pair.
5 heures pour terminer
11 vidéos (Total 74 min)
Avis
Meilleurs avis pour USING MACHINE LEARNING IN TRADING AND FINANCE
par BY16 déc. 2020
This the best online course I've ever joined, very practical, and could be able to implement in the real world with your own thoughts plus the hints from the course.
par MM30 avr. 2020
This course was great!!! I think they skipped over a lot so it takes a lot of time to learn the details of the skills. But it definitely gives you the tools needed!
par PL28 févr. 2020
The course is inspiring. It gave me another perspective of learning trading not just for Machine Learning also for day to day trading algorithm.
par DR18 avr. 2020
Useful for people who have previous knowledge of coding and trading basics. I get a lot of ideas from this course. I will recommend.
À propos du Spécialisation Machine Learning for Trading
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) 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 (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level. To successfully complete the exercises within the program, you should have advanced competency in Python programming and familiarity with pertinent libraries for Machine Learning, such as Scikit-Learn, StatsModels, and Pandas; a solid background in ML and statistics (including regression, classification, and basic statistical concepts) and basic knowledge of financial markets (equities, bonds, derivatives, market structure, and hedging). Experience with SQL is recommended.
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