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, and also helps to develop and improve Python skills specific to trading. Topics covered include objects, namespaces, classes, data structures, data analysis libraries, implementation of Zipline to code a trading strategy called “Moving Average Crossover”. Having exposure to programming for financial markets can be beneficial but is definitely not a must. For beginners who are absolutely new to programming, there is a supporting “Primer” document provided at the start of this course. This course comes with a specialized practice environment in the form of interactive exercises to help improve your coding skills. Let’s get started!
The course is authored and conducted by QuantInsti Quantitative Learning Pvt. Ltd and offered jointly by MCX and QuantInsti.Click here.