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Learn Algorithmic Trading
Learn Algorithmic Trading

Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

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Profile Icon Sebastien Donadio Profile Icon Sourav Ghosh
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€36.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (10 Ratings)
Paperback Nov 2019 394 pages 1st Edition
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Sebastien Donadio Profile Icon Sourav Ghosh
Arrow right icon
€36.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (10 Ratings)
Paperback Nov 2019 394 pages 1st Edition
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€20.98 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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Learn Algorithmic Trading

Section 1: Introduction and Environment Setup

In this section, you will be introduced to algorithmic trading and setting up the environment required to perform tasks throughout the book. You will learn the key components of trading and the questions you need to ask before embarking on a robot trading project.

This section comprises the following chapter:

  • Chapter 1, Algorithmic Trading Fundamentals
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Key benefits

  • Understand the power of algorithmic trading in financial markets with real-world examples
  • Get up and running with the algorithms used to carry out algorithmic trading
  • Learn to build your own algorithmic trading robots which require no human intervention

Description

It’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.

Who is this book for?

This book is for software engineers, financial traders, data analysts, and entrepreneurs. Anyone who wants to get started with algorithmic trading and understand how it works; and learn the components of a trading system, protocols and algorithms required for black box and gray box trading, and techniques for building a completely automated and profitable trading business will also find this book useful.

What you will learn

  • Understand the components of modern algorithmic trading systems and strategies
  • Apply machine learning in algorithmic trading signals and strategies using Python
  • Build, visualize and analyze trading strategies based on mean reversion, trend, economic releases and more
  • Quantify and build a risk management system for Python trading strategies
  • Build a backtester to run simulated trading strategies for improving the performance of your trading bot
  • Deploy and incorporate trading strategies in the live market to maintain and improve profitability
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 07, 2019
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781789348347
Category :
Languages :
Concepts :

What do you get with Print?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
Estimated delivery fee Deliver to Spain

Premium delivery 7 - 10 business days

€17.95
(Includes tracking information)

Product Details

Publication date : Nov 07, 2019
Length: 394 pages
Edition : 1st
Language : English
ISBN-13 : 9781789348347
Category :
Languages :
Concepts :

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Table of Contents

16 Chapters
Section 1: Introduction and Environment Setup Chevron down icon Chevron up icon
Algorithmic Trading Fundamentals Chevron down icon Chevron up icon
Section 2: Trading Signal Generation and Strategies Chevron down icon Chevron up icon
Deciphering the Markets with Technical Analysis Chevron down icon Chevron up icon
Predicting the Markets with Basic Machine Learning Chevron down icon Chevron up icon
Section 3: Algorithmic Trading Strategies Chevron down icon Chevron up icon
Classical Trading Strategies Driven by Human Intuition Chevron down icon Chevron up icon
Sophisticated Algorithmic Strategies Chevron down icon Chevron up icon
Managing the Risk of Algorithmic Strategies Chevron down icon Chevron up icon
Section 4: Building a Trading System Chevron down icon Chevron up icon
Building a Trading System in Python Chevron down icon Chevron up icon
Connecting to Trading Exchanges Chevron down icon Chevron up icon
Creating a Backtester in Python Chevron down icon Chevron up icon
Section 5: Challenges in Algorithmic Trading Chevron down icon Chevron up icon
Adapting to Market Participants and Conditions Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
(10 Ratings)
5 star 40%
4 star 30%
3 star 10%
2 star 10%
1 star 10%
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Jamie Oct 08, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Covers order book backtesting.
Amazon Verified review Amazon
Robin T. Wernick Dec 01, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Analyzing and using Trading Indicators deserves a careful introduction to avoid confusion and the common misunderstandings that redound throughout the marketplace. This book avoids the common misunderstandings about a diverse series of indicators and gives many detailed examples of their proper use. It also provides reasonably detailed code examples to let the reader know how to implement them for general use.The reader is still going to need the examples from other sources to acquire the gigabytes of stock data from the internet needed to make this information useful. But, one book cannot do it all. This volume is an excellent place to start and holds a premier position on my bookshelf.
Amazon Verified review Amazon
Fable Dec 31, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book literally gives you the keys to the kingdom. If you have the patience and time for this book.. you will go from aspiring trader to a full on engineer of your own trading system. Each chapter explains a topic, then codes it. Really great work on this book
Amazon Verified review Amazon
JB Jun 02, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I'm only getting started in this topic, but so far the book is great. It covers a broad amount of information needed to get started with algorithmic trading. All without focusing on topics that are too basic. Some algo trading books spend too much time on basic programming, this one focuses more on trading methods and technologies. Just what I was looking for.Also, please be aware that that color images are available free from the publisher. I viewed an electronic version of the book and the link is in the preface. Not sure if the link is in the paper version, but the images are still freely available.
Amazon Verified review Amazon
Rodrigo Jul 17, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I’ve been studying AT for couple of months, I’ve taken some courses at Udemy, and have bought previous basic books of AT.This book I would not recommend it for a completely beginner at this field. You should already know some basic concepts in AT and How to perform a very basic strategy, how to perform a simple back tester, event driven, how to simulate buys and sells, know what is an API, optimization, know the language of AT the vocabulary, etc. And definitely previous knowledge programming in Python.This book explains all the basics of an AT system and how it works but in a very solid and formal way. The codes works well, graphs works well everything is good. Explanations of codes maybe are a little bit poor but not terrific. Even though I had Studied some books before I would consider this book a beginner-intermediate book, IT IS NOT A TRIVIAL BOOK, it is not easy and less if you are a total beginner. In general I really like this book because it is a very solid book for understanding all the pillars of creating a trading system. Very recommended
Amazon Verified review Amazon
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