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Learning Track: Advanced Algorithmic Trading Strategies 

  • Offered byQuantra

Learning Track: Advanced Algorithmic Trading Strategies
 at 
Quantra 
Overview

Explore the intricacies of market microstructure and its impact on trading strategies, including order types, liquidity, and price formation

Duration

59 hours

Total fee

57,277

Mode of learning

Online

Difficulty level

Advanced

Official Website

Go to Website External Link Icon

Credential

Certificate

Learning Track: Advanced Algorithmic Trading Strategies
 at 
Quantra 
Highlights

  • Earn a certificate after completion of course from Quantra
  • EMI starting from ?11264/month for 6 months
Details Icon

Learning Track: Advanced Algorithmic Trading Strategies
 at 
Quantra 
Course details

Skills you will learn
Who should do this course?

Individuals with a background in trading who want to expand their knowledge of advanced strategies and techniques

Professionals already working in quantitative finance looking to deepen their understanding of algorithmic trading and enhance their modeling skills

What are the course deliverables?
Learn about mean reversion trading strategies taught by Dr Ernest Chan, who employed these techniques in his own hedge fund
 
Create and backtest the time series and cross-sectional momentum strategies on stocks, stock indices, fixed income, commodities, and futures markets
 
Apply machine learning techniques to enhance traditional momentum trading strategies
 
Learn the ins and outs of medium-frequency trading(MFT), order flow analysis, different types of orders taught by Dr Ernest Chan
 
Find micro-alphas, optimise the parameters without overfitting and combine the alphas taught by seasoned Quant Dr Thomas Starke
 
Backtest, add stop-loss and profit-take by using a vectorized approach
Read more
More about this course

The Learning Track in Advanced Algorithmic Trading Strategies is designed for experienced traders and quantitative analysts who want to deepen their understanding of sophisticated trading techniques

This track focuses on developing and implementing advanced strategies using quantitative methods and algorithmic trading frameworks

Learning Track: Advanced Algorithmic Trading Strategies
 at 
Quantra 
Curriculum

News Sentiment Trading Strategies

Introduction

Introduction  to the course 

Course structure flow diagram

 


Mean Reversion Strategies In Python

Introduction to the Course

Introduction by Dr. Ernest Chan

Introduction to mean reversion strategy

 

Momentum Trading Strategies
Introduction to the Course 
Introduction to momentum strategies
Course structure
 
Trading Alphas: Mining, Optimisation, and System Design
Introduction
Course Structure
Quantra features and guidance
 
Trading in Milliseconds: MFT Strategies & Setup
Introduction 
Course Structure
Course Structure flow diagram
 
Advanced Momentum Trading: Machine Learning Strategies
Introduction
Course Structure
Quantra features and guidance
qna

Learning Track: Advanced Algorithmic Trading Strategies
 at 
Quantra 

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