Learning Track: Machine Learning Strategy Development and Live Trading

53 Hours

Step-wise training on the complete lifecycle of trading strategies creation and improvement using machine learning, including automated execution, with unique insights and commentaries from Dr. Ernest Chan, Dr. Thomas Starke and Dr. Roger Hunter's research and practice. Handle the challenges of working with financial data and apply machine learning to generate trading strategies. Learn Portfolio Management using Hierarchical Risk Parity.

Authors

Dr. Ernest P. Chan

Dr. Terry Benzschawel

Dr. Roger Hunter

Dr. Thomas Starke

QuantInsti®

Level

INTERMEDIATE to ADVANCED

Price

₹196675/- ₹49169/-

Live Trading
Learning Track
Prerequisites
Syllabus
About author
Testimonials
Faqs

skills covered

Machine Learning
- Cross Validation, Hyper-Parameters
- RNN, LSTM
- Word2Vec, BERT
- Live Trading models
- Hierarchical Clustering
Math Concepts
- Fractional Differentiation
- Gini Index, Loss Function
- Mean Squared Error
- Sigmoid Function
- Bellman Equation
Python
- Random Forest Classifier
- Keras, Pickle
- NumPy, Pandas, Matplotlib
- Count Vectorizer
- XGBoost

Need help? Write to us at quantra@quantinsti.com or call us at +91-8291945960.

Prerequisites

Basic experience in python coding is required to implement the machine learning algorithm covered in the course. You should be able to work with 'Dataframes'. These skills are covered in the course 'Python for Machine Learning'.

Learning Track: Machine Learning Strategy Development and Live Trading

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