E-Learning Courses

The e-Learning courses are certification courses that have been authored by QuantInsti Quantitative Learning Pvt. Ltd, and are being conducted by them as well. The courses are being jointly offered by QuantInsti and MCX.

 

Statistical Arbitrage Trading

This course is highly recommended for all trading professionals who are interested in or are already practicing Algorithmic Trading. It will help you in gaining an in-depth understanding of Statistical Arbitrage along with the key statistical concepts involved in modeling a Stat Arb strategy. You will get an insight into various types of risks involved in a Stat Arb strategy and ways to mitigate them. You will go through a practical implementation of Pairs Trading in Excel and learn to code the same strategy in Python Step-by-Step while doing lots of guided hands-on coding. The course also comes with downloadable resources, which include the course e-book, excel model and a python code for implementing Statistical Arbitrage Trading strategy. At the end of this course, you would get the opportunity to gain a certification by MCX and QuantInsti through an online exam!

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and QuantInsti. Click here.
 

Getting Started with Algorithmic Trading

The course is designed for commodity market professionals and participants, traders, analysts, consultants, brokers, and technocrats who want to get started in algorithmic trading. Apart from exposing you to different strategy paradigms, back-testing techniques and strategy writing experience, the course will map out the requirements for setting up an algorithmic trading platform. The course will help you appreciate the advantages of algorithmic trading over traditional training techniques. In two hours, through online videos and interactive exercises, the course delivers essential knowledge in algorithmic trading that you would require to know to get started and succeed in this domain.

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd, and offered jointly by MCX and QuantInsti.Click here.

Python for Commodity Trading

This course is for anyone who wants to start trading in commodities using Python. It covers important Python concepts from scratch, such as objects, classes, data structures, data analysis libraries, coding trading strategies using various technical indicators. It focuses on using quantitative approach in trading and on back-testing trading strategies using historical data. There is a discussion on slippage, transaction costs and such factors which influence real trading decisions. This course comes with a specialized practice environment that provides interactive exercises to build coding skills.

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and QuantInsti Click here.

Quantitative Trading Strategies and Models

This course is designed for all individuals who are interested in quantitative trading. If you wish to become a quantitative trader or are keen on improving your existing trading strategies by learning new concepts, then this is the course for you. Starting with quantitative trading strategies based on technical indicators, the course builds on the creation of econometric models and finally discusses trading strategies for options. The course is a blend of various videos, PDFs, and Ipython notebooks to make you understand the concepts in a practical way. Learn to use mathematics, statistics, and econometric models in your trading. This is an application-based course created by traders who have been using quantitative trading techniques and find profitable strategies using them. Understand market data and its nuances to be able to apply these techniques.

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and Quantinsti. Know more.
  

Trading with Machine Learning : regression

This course is designed for trading professionals who wish to optimize their trading strategies through machine learning. It's ideal for students, developers, analysts, researchers, and teachers. This course will help you understand the application of machine learning regression in trading. Start by learning basic concepts in machine learning. Work with markets data and process it for the learning model. Understand important concepts such as variance and bias of the model to be able to optimize it well without overfitting. Learn to predict market direction using an algorithm which you will code!

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and Quantinsti. Know more.
 

Trading with Machine Learning: Classification

This course is ideal for market professionals, traders, analysts, researchers, teaching professionals, students with a technical or professional background and anyone who is interested in algorithmic trading and Machine learning. It will help you in understanding the basics of ‘classification predictive models’ and give you an opportunity to code an algorithm based on the concept of Support Vector Classifier. Generate trading signals which rely on predictions by a machine learning model. Learn all about classification techniques which can help in predicting up, down, or neutral market trends. Build supervised classifiers such as logistic regression classifier and support vector classifier in Python and incorporate them in trading strategies. Learn from traders and machine learning experts to get the best of both the worlds.

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and Quantinsti. Know more.
 

A curated bundle of courses

MCX and Quantinsti Quantitative Learning Pvt. Ltd also offer a curated 6-course bundle that is perfect for traders and quants who want to learn algorithmic trading. Each course helps you to hone your skills in algorithmic trading along with different strategy paradigms, quantitative trading models, back-testing techniques, market regulations, and compliance. It covers 10+ trading strategies including statistical arbitrage, machine learning, quantitative techniques and more, to ensure you to have an end-to-end learning experience. Learn Python for trading, work with market data, and apply machine-learning techniques like regression and classification.

The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and QuantInsti. Click here.
 

Please ensure that you enrol for the curated bundle of courses using the coupon code MCX625

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