Course Type

Course Details

Free Course
Introduction to Machine Learning for Trading


Description

        This is a free course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute focused on preparing financial market professionals for the contemporary field of Algorithmic and High-Frequency Trading. This course will help you in understanding the basics of Machine Learning and give you an opportunity to code an algorithm in Python. You will also learn the different types of Machine Learning Techniques. In this course, you will understand a few research papers on Reinforcement learning and how it works. Finally, you will code a trading strategy using the predictions made by the Machine Learning algorithm.

What you'll learn in the course

Price: FREE !!!
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Free Course
Trading with Machine Learning Regression


Description

        This is a certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute focused on preparing financial market professionals for the contemporary field of Algorithmic and High-Frequency Trading. This course will help you in understanding the basics of Machine Learning and give you an opportunity to code an algorithm based on the concept of linear regression using Python. You will also learn what Hyperparameters are and how to use them. In this course, you will learn the mathematical concepts behind regression function, such as the gradient descent and cost function optimization. Diving deeper, you will get a thorough overview of the Bias and Variance problems faced by machine learning algorithms. Finally, you will be coding a trading strategy using the predictions made by the algorithm.

What you'll learn in the course

Price: INR 5999
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Free Course
Trading using Options Sentiment Indicators


Description

        This is a certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute; focused on preparing financial market professionals for the contemporary field of Algorithmic and High Frequency Trading. This course will help you to understand the two major emotions that drive the entire market - Fear and Greed and how we can capitalize on them to make profits. We will learn about sentiment indicators, how to interpret them and devise trading strategies using the same. We will develop a trading logic for our algorithm defining our entry and exit points using signals from the sentiment indicators. We will code this strategy using Python programming language and analyze the buy/sell orders of S&P 500 index futures, generated by our strategy in Microsoft Excel using 2 years of historical data for backtesting. The sentiment indicators that we would study are TRIN or Arms index or Short-term Trading Index, Put/Call ratio and Volatility Index. There are quizzes for testing your concepts and interactive coding exercises which provide a specialized practice environment to help you do lots of guided hands-on coding in Python. In the end, we will cover the various risks involved in trading and conclude our course with a complete understanding of how to go about algorithmic trading using sentiment indicators. You also get downloadable strategy codes and an e-book for your reference. Finally, get officially certified from QuantInsti and prove your mettle.

Price: FREE !!!
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Free Course
Statistical Arbitrage Trading


Description

        This is a joint certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute and Multi Commodity Exchange (MCX) - leading commodities exchange in South-East Asia. This course 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. This course will give you an insight into the various types of risks involved in a Stat Arb strategy and ways to mitigate them so that you are empowered to start trading pairs or develop your very own Statistical Arbitrage model. We will take you through a practical implementation of Pairs Trading (Lead - Aluminium Pair) in Excel and explain how to code the same strategy in Python as well. The course also includes interactive exercises which will help you in strengthening concepts and make sure that you become comfortable with coding trading strategies in Python. This course provides you with downloadable resources, which include the course e-book, excel models and a python code for implementing a Pairs 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!

What you'll learn in the course

Price: INR 4999
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Free Course
Python for Trading


Description

        This is a joint certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute and Multi Commodity Exchange (MCX) - leading commodities exchange in South-East Asia. The course is designed for anyone who wants to start trading in Python. It covers important 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, coding trading strategy using Moving Averages and a technical Indicator called Relative Strength Index. 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 the course. This course comes with a specialized practice environment in the form of interactive exercises to help improve your coding skills. This course also comes with a downloadable e-book and codes (provided in the last section of this course) for your reference. At the end of this course, you would also get an opportunity to get a certification by MCX and QuantInsti by taking an online exam! After completing this course you would be equipped to code and backtest your strategy on historical data using Python. Let’s get started!

What you'll learn in the course

Price: INR 2999
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Free Course
Getting Started with Algorithmic Trading


Description

        This is a joint certification course by QuantInsti - Asia’s pioneer Algorithmic Trading Research and Training Institute and Multi Commodity Exchange (MCX) - leading commodities exchange in South-East Asia. This is a unique and comprehensive course designed for commodity market professionals and participants, traders, analysts, consultants, brokers, technocrats or anyone who wants to get started in algorithmic trading. Apart from introduction to different strategy paradigms, back-testing techniques, available programming languages, regulations & compliance around algo trading, 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. This course also comes with a downloadable e-book (provided in the last section of this course) for your reference. At the end of this course, you would also get an opportunity to get a certification by MCX and QuantInsti by taking an online exam! In two hours, through online videos and exercises, the course delivers essential knowledge in algorithmic trading that you would need to get started and succeed in this domain.

What you'll learn in the course

Price: INR 1599
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Free Course
Trading with Machine Learning Classification and SVM


Description

        This is a certification course by Quantinsti - Asia’s pioneer Algorithmic Trading Research and Training Institute focused on preparing financial market professionals for the contemporary field of Algorithmic and High-Frequency Trading. This course 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. This course is a mixture of videos, PDF documents, MCQs, and Interactive Exercises. In this course, you will learn about different types of the Supervised classifier. You will also learn about binary classification, math functions used for classification and their application in Financial Market. Further, you will also understand the difference between Binary and Multiclass Classification and will learn one vs all algorithm, one hot encoding and softmax function for performing multiclass classification. Diving deeper, you will get an overview of the specific type of classifier that is Support Vector Machine and learn about different hyper parameters used for optimization of the algorithm. Finally, you will be coding a trading strategy using the predictions made by the Support Vector Classifier algorithm.

What you'll learn in the course

Price: INR 6999 !!!
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