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Learning Track: Artificial Intelligence in Trading Advanced

65 Hours
Step-wise training on the complete lifecycle of strategy creation and backtesting using advanced artificial intelligence in trading, 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 the challenges of working with options data and other financial data and apply machine learning in trading.
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

₹49080/-₹61350/-

Original Price: ₹245394

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  • 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.
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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

Math & Core Concepts

  • Stochastic gradient descent
  • Loss Function
  • Sigmoid Function
  • Cross Entropy
  • Euclidean distance, WCSS

Python Libraries

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

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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 advanced AI trading algorithms 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
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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    Data & Strategy Models

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Faqs

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