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This course is for beginners in Algorithmic Trading who want to use online platforms and brokers to trade their strategies algorithmically.
The course discusses a simple Pair Trading Strategy from the scratch, including theory and statistics involved. This strategy is coded in Python on a free online backtesting platform, Quantopian. The lectures are designed in a fashion that even the newbies in programming find it easy to understand the code and learn to tweak it. The difficulty level in programming skills required to complete the exercises is gradually increased so that by the end of the course, the learners are able to build their own basic automated trading strategy.
The course includes exercises and practice sessions on a sample code before it is implemented in the live markets. The course will take between 5 to 10 hours depending on your familiarity with any programming language.
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|Section 1: Introduction to the Course|
|Section 2: Introduction to Algorithmic Trading|
What is an Algorithm?Preview
What is Algorithmic and Quantitative Trading?Preview
What is Quantopian?Preview
What is backtesting of a Strategy?
Demo of a StrategyPreview
|Section 3: Basic Terminology|
Alpha, Beta, Returns of a Strategy
Quantopian ETF benchmark
|Section 4: Pairs Strategy - A simple Algorithmic Trading Strategy|
What is a Pair Trading Strategy?
How to choose a pair of stock for trading?
|Section 5: Writing your own trading strategy in Python|
Parts of the Code
Initializing Variables in Python
Coding in Python - Part 1 & 2
Coding in Python - Part 3 & 4
Coding in Python - Part 5
Coding Exercise - Trading Strategy Coding in Python
Backtesting you Strategy
|Section 6: Live Market Trading|
Introduction to taking your strategy live
Coding Exercise - 1
Paper Trading your strategy
Live Market Trading
QuantInsti is one of Asia's pioneer Algorithm Trading Research and Training Institutes focused on preparing financial market professionals for the contemporary field of Algorithmic and High Frequency Trading. QuantInsti institute developed the curriculum for the Asia's first Executive Programme in Algorithmic Trading (E-PAT) in 2009. As an initiative by financial markets professionals with stellar academic and professional credentials, the program aims to fulfil the pressing demands for highly specialized skill sets of a potentially lucrative domain. QuantInsti opened the doors to global participants in 2012 by introducing virtual classrooms for its flagship E-PAT course and have seen participation from all inhabited continents since then.