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Learning Track: Machine Learning & Deep Learning in Trading Beginners

42 Hours
A highly recommended track for those interested in machine learning and its applications in trading. From data cleaning aspects to predicting the correct market trend and optimising AI models, these courses are perfect for beginners. Learn how different machine learning algorithms can be implemented on financial markets and create your own prediction algorithms using classification and regression techniques.
Level
FOUNDATION to INTERMEDIATE
Authors
QuantInsti®
Dr. Ernest P. Chan
Dr. Roger Hunter
Price Lifetime Access Limited Time Offer

₹21951 /-₹25825/-

Original Price: ₹108194

76% OFF

+ Additional 15% OFF

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

Live Trading

Preprocess price data to resolve outliers, duplicate values, multiple stock classes, survivorship bias, and look-ahead bias issues.
List and implement common tasks in machine learning such as feature creation, training, forecasting, and evaluation in a step-by-step fashion.
Explain the concept of regression, hyper-parameter tuning and the use of gradient descent for cost function optimisation.
Use cross-validation to tune the hyper-parameters of a support vector machine.
Code a trading strategy to predict the next day's trend using a Support Vector Classifier.
Create a machine-learning trading strategy using Decision Trees and ensemble methods such as random forest and bagging.
Paper trade, analyse the strategies and apply them in live markets without any installations or downloads.
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Skills Covered

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Machine Learning & Deep Learning in Trading Beginners

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Machine Learning & Deep Learning in Trading Beginners
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 be curious about the application of machine learning algorithms in financial markets. Prior experience in programming is required to fully understand the implementation of the machine learning algorithms taught in the course. If you want to be able to code and implement machine learning strategies in Python, then you should be able to work with 'Dataframes'. These skills are covered in the course 'Python for Trading: Basic'.

Syllabus

Introduction to Machine Learning for Trading
Trading with Machine Learning: Regression
Python for Machine Learning in Finance
Data & Feature Engineering for Trading
Decision Trees in Trading
Trading with Machine Learning: Classification and SVM

about author

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. 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. Roger Hunter
Dr. Roger Hunter
Dr. Roger Hunter is the Chief Technology Officer of QTS. He is responsible for designing high-performance automated execution system that achieved negative slippage. Roger is a serial entrepreneur, having founded profitable hedge funds and software firms. Roger was formerly professor of mathematics at New Mexico State University, and he obtained his Ph.D. in Mathematics from Australian National University.
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Why quantra®?

  • 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

Edgar Hernandez Moto
Edgar Hernandez Moto
CEO, SEDLAXAR Technologies, Mexico

In this course, I learned how to perform feature engineering on financial data for training algorithms and the types of features that can be generated out of the price data. I tried the coding exercises, I consider them to be a good way to learn this type of material. My goal is to be able to train several types of algorithms for helping me in all my algo-trading infrastructure, which goes beyond trading and testing strategies. The 'Python for Machine Learning in Finance' course really helped me understand the training process of an ML trading algorithm and how to generate potential useful features for the model in a better way.

Saleem Adele
Saleem Adele
Founder of QuizPlus, Türkiye

I expected the ‘Decision Trees in Trading’  to be very technical and difficult to understand. However, the instructors did a great job of breaking down the material and making it easy to follow. The courses met my expectations and also provided practical information that I can use post my experience in an exponential way. I got to learn about various concepts like Decision Trees, Bagging Classifiers, Ensembles, and multiple Clustering techniques like KMeans, Kelly Optimization, etc. My learning goal is to develop a better understanding of quantitative trading. This course has helped me get closer to my learning goals by providing me with a comprehensive overview of the topic, developing a better understanding of the various quantitative trading strategies that are available, and inspiring me to develop my own current implementations. 

Jean-Kristoff Grenier
Jean-Kristoff Grenier
Sales and Trading Analyst, Canada

Great course on machine learning concepts.

Sergei Belov
Sergei Belov
United States

Very practical SVM trading strategy examples.

Mohsin Riaz
Mohsin Riaz
Chief Technology Officer at 360DTechSol, Pakistan
Well designed course for everyone interested in understanding the basics and interplay of Machine Learning and Trading.
Johannes Kreckel
Johannes Kreckel
Head of AZURE Cloud Capability, Germany

The course has an excellent didactic structure for efficient learning.

FP
Francesca Paesano
Italy
This course was really helpful to me! The videos are short and easy to understand. There is a great variety of tasks to complete in order to get accustomed to the programs used.
ND
Nishchay Dubey
India

Awesome! loved frac differentiation

VR
Veera Raghunatha Reddy Naguru
United Kingdom

Very informative course. This course involves the importance and understanding of feature engineering.

FA
Faizan Ahmed
Australia

A good introduction to how to structure data and create features from it to best enable modelling.

AT
André Timótheo
Brazil
The course is excellent!! It presents in an extremely clear way some contemporary concepts.
Sb
Swadhin buda
India
Although I have learned a few programming languages in the past, I am not very comfortable with python. The course made it very simple for me to learn python. I was introduced to the Jupyter notebooks through this course. The content on the Jupyter notebook was top-notch. The interactive exercises were something new to me and I enjoyed doing those as they kept me in touch with the practical side of python. I explored other platforms as well, but couldn’t find content as good as this even in the premium courses that they had to offer. I am looking forward to doing more courses from Quantra, highly impressed with the product.
MG
Manuel Girlanda
Italy
Even though the course is introductory, it is very clearly explained. Additional resources given in the course are quite useful and easily accessible through hints. I learned the importance of data preparation, which is highly important and mandatory for a good prediction model.
MS
Molefe S
Manager, Standard Bank, South Africa
I really liked the course especially the Interactive Exercises. This has helped me get used to the syntax for different functions in Python. I enjoyed experimenting with the scripts in the Jupyter notebook that is integrated with the course. I also used the downloadable codes to get a hands-on experience of coding but I found the integrated notebook easier to use and experiment with the codes. The course is very well curated, nothing feels out of place, in fact, I have started to practically apply the learnings from this course in my day to day task as I deal with Data daily in my job.
JR
Jason Rosendal
United States

Awesome course. Learned a ton!

YS
Yeong Shyan Lee
Consultant Radiologist, Tan Tock Seng Hospital, Singapore
Excellent course to kick start one without any knowledge in python for machine learning in Finance.
KG
Kushal Gowda G V
India
Perfect balance of theory and explanation. Had a good understanding by the end.
JC
Junming Cao
Quant Analyst, United Kingdom
I loved how the concepts are explained through visual representation in the video units. The course is perfectly set up and with the recent addition of the live/paper trading section, the course is more complete than ever. The whole concept of the Live Trading section integrated with Blueshift is interesting, you guys are going in the right direction. This course has helped me understand the application of decision trees and random forests, in the financial markets. This will further help me in my career as I am in this industry for the past 4 years as a Quantitative Analyst. Quantra is doing a great job, keep it up!
BD
Bogdan Danila
Romania
A very good course providing a theoretical background in Decision Trees, Ensemble methods model evaluations, as well as practical Python code examples which are a good start for any algo trader.
RB
Rajat Bansal
HFT Trader, India
Would highly recommend this course to anyone who wants to use machine learning techinues for trading.
Noel Ángel Tlatelpa López
United States

Good strategy to tweak and implement.

LA
Luqman Akasyah
Senior Engineer at GlobalFoundries, Singapore

Clear and concise with practical hands-on sections.

GH
Gareth Hudson
United Kingdom
Good introduction into ml concepts with respect to trading strategies.
MR
Manual Roldan
Accountant, Public Sector, Venezuela
One thing that I really liked about this course is that it starts with a small introduction to the Trading Firm. It gave me great clarity on the importance of Python in Finance, especially trading. The course had a great presentation, especially the video units. I was initially very skeptical and scared of Programming, but slowly and steadily as I started to learn through this course, my fear of algorithms has reduced drastically. All this was possible only because of the fact that the course was easy to learn.
 
AA
Aljosa Aleksandrovic
Co - Founder, Arve Asset Management Company, Switzerland
What I absolutely liked about the course were the short 2-5 minutes videos that explained the theoretical part of the concepts. The downloadable codes were really helpful as I love to play around with the codes. I was really impressed with the Live Trading section integrated with Blueshift as it allows me to code, backtest, research, Paper Trade & Live trade all in one place. Overall this course is a great package of theory and practical elements of learning. Additionally, I was able to apply the concept of Support Vector Classifier to successfully identify the market as a Bull or Bear market. This course has definitely given me great research ideas to develop a strategy in the future.
MR
Manuel Roldan
Venezuela
I thought I had to install programs and that my laptop was not going to support but it was very easy and enriching, the experience on the Blueshift. Thank you so much for this introduction course, I enjoyed it.
RV
Renato Votto
Assistant Manager, Audit and Compliance, Ofgem, United Kingdom
Full of interesting contents and also real world examples and applications.
SR
Sree Ranga Chaitanya
Project Manager at Indian Oil Corporation Ltd, India

Loved the simplistic explanation of ML concepts even to a fresher in the field.

SG
Sougata Ghosh
Consultant, India
A quick and comprehensive course on using Linear Regression to create trading strategies.
German Gamarra
German Gamarra
Venezuela

Straight from theory to hands-on programming!

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