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Learning Track: Artificial Intelligence in Trading Advanced

73 Hours
Create your agentic AI Quant Team. Step-wise training on the complete lifecycle of strategy creation and backtesting using advanced ML techniques, including neural network, deep learning, and LLMs. Unsupervised learning algorithms and NLP models such as Word2Vec, BERT and XGBoost. Learn from unique insights from Dr. Ernest Chan, Dr. Thomas Starke and Dr. Terry Benzschawel’s research and practice. Handle challenges of working with options and other financial data.
Level
INTERMEDIATE to ADVANCED
Authors
Dr. Ernest P. Chan
Dr. Terry Benzschawel
Dr. Thomas Starke
QuantInsti®
Dr. Hamlet Medina
Price Lifetime Access Limited Time Offer

₹56014 /-₹70017/-

Original Price: ₹280062

75% OFF

+ Additional 20% OFF

  • Live Trading
  • Learning Track
  • Prerequisites
  • Syllabus
  • About author
  • Testimonials
  • Faqs

Apply AI in Trading

Implement clustering algorithms such as k-means and DBSCAN and describe principal component analysis (PCA), euclidean distance, WCSS, and elbow curve.
Describe a neural network, explain its working and code a neural network model using Sklearn.
Create and backtest a reinforcement learning model and describe states, actions, double Q-learning, policy, experience replay and rewards.
Train a machine learning model to calculate a sentiment from a news headline and implement word embedding methods such as Bag of Words (BoW), TF-IDF, Word2Vec and BERT.
Use LLMs to generate sentiment score, trading signals and backtest trading strategy
Shortlist option strategy to trade in an automated way by defining the strategy universe, training the ML model and analysing the performance.
Create your own Agentic AI Quant Team
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Skills Covered

Machine Learning

  • Double Q-learning and ANN
  • RNN and LSTM, XGBoost Model
  • Word Embedding Models
  • K-Means and DBSCAN Clustering
  • Shortlist Options Strategy with ML

Math & Core Concepts

  • Stochastic gradient descent
  • Loss Function, Sigmoid Function
  • Euclidean distance, WCSS
  • Options Pricing

Python Libraries

  • Pandas, Numpy, Matplotlib
  • TA-lib, Sklearn, Keras
  • R2scorer, Accuracy_score
  • Tensorflow, XGBoost, CountVectorizer
  • Itertools, finBERT
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Artificial Intelligence in Trading Advanced

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Artificial Intelligence in Trading Advanced

Full Learning Track

These courses are specially curated to help you with end-to-end learning of the subject.

Need help? Write to us at quantra@quantinsti.com or call us at +91 8450963428.
Ready to Master Algorithmic Trading?

Elevate your trading skills with our comprehensive 'All Courses Bundle.' With 50 expertly designed courses organized into 8 specialized learning tracks, you'll gain a complete A-to-Z understanding of algorithmic trading strategies and techniques.

Course Features

  • Community
    Community

    Faculty Support on Community

  • Interactive Coding Exercises
    Interactive Coding Exercises

    Interactive Coding Practice

  • Capstone Project
    Capstone Project

    Capstone Project using Real Market Data

  • Trade & Learn Together
    Trade & Learn Together

    Trade and Learn Together

  • Get Certified
    Get Certified

    Get Certified

Prerequisites

You should have a basic knowledge of machine learning algorithms and options trading. These concepts are covered in our free courses 'Introduction to Machine Learning' and 'Options Trading Strategies In Python: Basic'. Prior experience in programming is required to fully understand the implementation of artificial intelligence techniques covered in the course. If you want to be able to code and implement machine learning strategies in Python, you should be able to work with 'Dataframes' and the 'Sklearn' library. Some of these skills are covered in the course 'Python for Trading: Basic'.

Syllabus

Natural Language Processing in Trading
Unsupervised Learning in Trading
Agentic AI for Trading
Neural Networks in Trading
Deep Reinforcement Learning in Trading
Machine Learning for Options Trading
Trading Using LLM: Concepts and Strategies

about author

Dr. Ernest P. Chan
Dr. Ernest P. Chan
Dr. Ernest Chan is the Managing Member of QTS Capital Management, LLC., a commodity pool operator and trading advisor. QTS manages a hedge fund as well as individual accounts. He has worked in IBM human language technologies group where he developed natural language processing system which was ranked 7th globally in the defense advanced research project competition. He also worked with Morgan Stanley’s Artificial intelligence and data mining group where he developed trading strategies.
Dr. Terry Benzschawel
Dr. Terry Benzschawel
Dr. Terry Benzschawel is the Founder and Principal at Benzschawel Scientific, LLC. Before that, Terry had worked with Citigroup's Institutional Clients Business, as a Managing Director, heading the Quantitative Credit Trading group. In Citi’s Fixed Income Strategy department, Terry has worked as a credit strategist with a focus on client-oriented solutions across all credit markets. Before that, he had worked in Chase Manhattan and Citi to build algorithms to predict corporate bankruptcy and to detect credit fraud on card transactions. He has authored two books on Credit Modeling.
Dr. Thomas Starke
Dr. Thomas Starke
Dr Thomas Starke is the CEO of the financial consultancy firm AAAQuants. With a remarkable career spanning working with Boronia Capital, Vivienne Court Trading and Rolls-Royce, he has worked on the development of high-frequency stat-arb strategies for index futures and AI-based sentiment strategy. As an academic, he was a senior research fellow and lecturer at Oxford University. A tech aficionado, he takes a keen interest in new technologies such as AI, quantum computing and blockchain. He holds a PhD in Physics from Nottingham University (UK).
QuantInsti®
QuantInsti®
QuantInsti is the world's leading algorithmic and quantitative trading research & training institute with registered users in 190+ countries and territories. An initiative by founders of iRage, one of India’s top HFT firms, QuantInsti has been helping its users grow in this domain through its learning & financial applications based ecosystem for 10+ years.
Dr. Hamlet Medina
Dr. Hamlet Medina
Dr. Hamlet Medina is the Chief Data Scientist at Criteo, a great mathematician, and has been very successful in applying LLMs on an enterprise scale.
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  • More in Less Time
    More in Less Time

    Gain more in less time

  • Expert Faculty
    Expert Faculty

    Get taught by practitioners

  • Self-paced
    Self-paced

    Learn at your own pace

  • Data & Strategy Models
    Data & Strategy Models

    Get data & strategy models to practice on your own

User Testimonials

Sergei Cherkasov
Sergei Cherkasov
Trader, Russia
I had two Dr. Chans courses on artificial intelligence and I want to rate them as really good. For me it was a good start in machine learning. Learned a lot here as these courses are made well. My very big desire for these courses is to have paper/real trading examples for every strategy and model that was in the course, as it will help learners to learn faster and prosper at trading!
Vignesh Patel
Vignesh Patel
Senior Associate at Cognizant, India

Deep Reinforcement Learning as a concept is vast and complex. In this course, the content is broken down into smaller specific topics that help you grasp the subject at hand. In the end, everything is bought back together seamlessly for you to see the full picture clearly. I love how the complex concepts are made easy to understand, so much so that I was able to do the capstone project at the end of the course all by myself. I only referred to the model solution after I successfully made the model in the capstone project on my own. This course has definitely increased my understanding and clarity on Deep Reinforcement learning

CA
Christian Alfaro
Customer Success Manager, Chile

Excellent course, i finally connect my RNN/LSTM knowledge with LLM

CV
Capt. Velayudhan C P
India

The course was overall excellent. It provided a comprehensive and practical overview of applying machine learning techniques in the context of options trading. The content was well-structured, easy to follow, and filled with real-world applications that made the learning process both engaging and insightful. A highly recommended program for traders looking to enhance their skills with data-driven strategies.

PE
Peter Engel
Researcher, United States

Excellent course that does a great job reconciling prediction of underlying with pricing options.

VM
Vikas Mishra
Programmer, India

The course provides good blend of ML applications along with domain concepts.

DP
Drac Pet
Trader, Spain

Amazing course, recommend it 100%.

KK
Kin Ki Kwok
Quantitative Analyst at OneSky Inc. Limited, Hong Kong

Rich lesson content and very well-written strategies for references.

VR
Veera Raghunatha Reddy Naguru
United Kingdom

A lot of ML and multi model prediction strategies for Options trading. Good go for someone pursuing options trading research!

VK
Vinod Krishnan
Director at V3 Analytics Private Limited, India

Good Course

PG
Patricio Galvan
Spain

Very complete Course!

JP
Jackie Pineda
EDI Specialist, United States

Fantastic course. Really enjoyed build my own agentic quant team and already have plans to expand.

PM
Paolo Mammola
United Kingdom

Good course overall

MH
Michael Horn
Germany

The courses on Quantra are quite structured, with theory as well as practical hands-on Python experience. The delivery of content was very smooth. What I liked the most is that the courses taught concepts of mathematics and quantitative model using Python scripts so well! It was also reassuring that I could ask any doubts I had on the community platform. I'm looking forward to completing more courses on the platform, one at a time.

AB
Artur B
Mechanical Engineer Professor, Portugal

After four years on the Quantra platform and having taken over 20 courses, I must say that the entire learning experience has been transformative. I find that the courses that I took, are very well organized, present relevant information on the subject and in fact, you can make your changes and it allows you to Implement the things in your way. For me these courses provide the starting points - a point from which you can do your own work. I appreciate that Quantra allows learners to retake courses multiple times—this has been incredibly useful for revisiting and brushing up on key concepts.  

CT
Carlos Tassara
General Manager at IBIT, Chile

Incredible Material. Well explained, congrats!

AC
Alessandro Caloisi
Quant Analyst, Italy

Beautiful course!

CB
Chintan Bhagat
India

Great course on understanding the pros and cons of using RL.

AB
Adrien Borderon
France
Superb training on a complex subject. The theoretical approach is very well put into practice through notebooks. The final project provides an interesting working basis for future projects. No negative remarks! Good job! :)
MR
Manogane Rammala
Graduate in Investment Management, South Africa
In its current form, the course is already comprehensive to a very high degree. All of the content in sections 1, 2, and 3 really helps in building an understanding regarding the deep RL trading system. I would compare this course to a suit that I would have to grow into. I am going to revisit the section on 'experience replay' to get a better grip on that subject matter. The capstone project will also be very educational from the perspective of experimentation. To summarize, I'd say that this course will be the greatest learning material for RL in the financial markets for a very long time. Thank you for making it available!
NP
Níkolas Pareschi
Instructor at Investidor de Sucesso, Brazil

Quantra is a marvelous source for Alpha strategies and a powerhouse of great instructors with market experience. Also, Quantra gives a clear research path so that one can research his own Alphas. I recommend it to traders and researchers.

AW
Andy Wong
Hong Kong

Very new ideas in trading

SK
Sambit Kumar
Vice President-Enginnering, JP Morgan Chase, India
This is a great course for someone to start working on NLP right away. Before doing this course I had no idea of the topic but after completing it, I have got a lot of knowledge and exposure to the finer concepts of NLP. This is a good starting point for someone to get familiar with NLP. The course is very concise and provides collated information in one place which otherwise would have been very overwhelming to find and research on our own.
SB
Sergei Belov
United States
A very good explanation of RNNs and LSTMs as well as hyper-parameter tuning.
AT
Abinash Tripathy
Accountant at HCL Peripherals, India
Let me explain why I gave this course 5 stars.
When I first bought this course, it lacked the implementation section. I complained about it and they fixed it, thereby actually making the course worth for me. Thank you very much Team Quantra.

If you have no clue what Neural Networks in Trading is and want to learn about it then this is the course for you. Highly Recommended, especially due to the insane support they provide in case you have any issue related to the course.
DK
Dylan Knights
Canada

This was a very useful course that gave me many new and exciting ideas for improving my own strategy.

LD
Leandro Dagostini
Founder & Strategist, Kara Investments Algorithmic Strategies, Brazil
Good course.
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