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James Johnson - Algorithmic Trading: A Beginners Guide to Learning the Fundamentals and the Strategies of Algorithmic Trading

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Algorithmic Trading: A Beginners Guide to Learning the Fundamentals and the Strategies of Algorithmic Trading: summary, description and annotation

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Forget the age-old myths that you will lose money on trading because that is just what it is a myth. With Algorithmic trading, you have all the tools to make a profit from many of the trades that you place.
Whether you are a funds manager or a group of traders, you can finally earn the profits you only dream of by embracing this strategy. However, before you can go ahead and know what it offers, you first need to understand what the concept is all about.
This guide to algorithmic trading teaches you:
- What algorithmic trading is, and what it is not. We go ahead to differentiate the strategy from other types that you will come across so that you have a clear idea of what we are talking about.
- The history of algorithmic trading. Before you can appreciate the future, you need to understand the past. We look at the major points in history that made algorithmic trading what it is today.
- A peek into the statistics that have dominated the industry for various years now. This inspires you to understand that the trading industry is popular and the algorithmic trading strategies are in use by many people.
- What makes a winning trader in this market. The skills you need and even tell you what type of mindset you require to stand out.
- Backtesting and what it offers you as the trader. The various types of backtesting and why you need to perform it as a trader.
- The process of coming up with the perfect strategy so that you enjoy the gains.
There are various things that make this book a great addition to your trading arsenal.
The examples are derived from various areas of the market to give you a better understanding.

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Algorithmic Trading A Beginners Guide to Learning the Fundamentals and the - photo 1
Algorithmic Trading
A Beginner's Guide to Learning the Fundamentals and the Strategies of Algorithmic Trading
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Copyright 2019 - All rights reserved.
The content contained within this book may not be reproduced, duplicated or transmitted without direct written permission from the author or the publisher.
Under no circumstances will any blame or legal responsibility be held against the publisher, or author, for any damages, reparation, or monetary loss due to the information contained within this book. Either directly or indirectly.
Legal Notice:
This book is copyright protected. This book is only for personal use. You cannot amend, distribute, sell, use, quote or paraphrase any part, or the content within this book, without the consent of the author or publisher.
Disclaimer Notice:
Please note the information contained within this document is for educational and entertainment purposes only. All effort has been executed to present accurate, up to date, and reliable, complete information. No warranties of any kind are declared or implied. Readers acknowledge that the author is not engaging in the rendering of legal, financial, medical or professional advice. The content within this book has been derived from various sources. Please consult a licensed professional before attempting any techniques outlined in this book.
By reading this document, the reader agrees that under no circumstances is the author responsible for any losses, direct or indirect, which are incurred as a result of the use of information contained within this document, including, but not limited to, errors, omissions, or inaccuracies.
Introduction
Congratulations on downloading Algorithmic Trading, and thank you for doing so. You will not regret your decision. This book is a basic review of the fundamentals of Algorithmic trading and gives you an insight into what it is, how to succeed and the importance of successful backtesting.
The objective of this book is to educate anyone interested in Algorithmic trading. It aims to introduce you to Algorithmic trading then takes you through the various concepts.
Trading the markets have been around for a long time, but you cannot appreciate where it has come from unless we look at the history, which is presented in the first chapters of the book. We go ahead to look at the different people that make use of the trading strategy and how they use it.
Each trading strategy comes with a real-world example to make sure you get the concept right. Thank you for reading.
Who Should Read this Book?
Algo trading encompasses trading, computer programming, and quantitative analysis. Thus, this book is aimed at all three areas. This should serve as a good introduction for any investor, seller, salesperson, and quant or software developer looking to get more information in these fields.
The book aims to take the reader from the ground up, so you dont need to have advanced knowledge of the markets to enjoy the book.
Chapter 1: Algorithmic Trading Intro
Algo trading is an essential tool for electronic trading of financial assets - photo 3
Algo trading is an essential tool for electronic trading of financial assets. Algorithmic strategies are also vital to the process of coming up with trading goals and investment strategies for many traders.
Currently, there is a wide array of assets that you can trade electronically from the comfort of your home or from an office. These range from stocks to bonds, cash to certificates and a variety of other assets that can be bought and sold at the tap of a button. The technology that is in place to achieve this is relatively new, though the fundamental market mechanics remain the same. Overall, trading is all about trying to get a buyer quickly and make a profit while at it.
Algorithmic trading, also called algo trading, black box trading or automated trading, refers to a technological advancement in trading that has been witnessed in the securities market. The process runs on a computer that has to implement a specific set of instructions (the Algorithmic) that you come up with. This Algorithmic places a trade that results in profits at a frequency and speed that isnt possible for human traders.
Algorithmic trading has taken the global market by storm. For most countries, Algorithmic trading is now the mainstream technique that traders use to trade faster and make profits. In fact, most traders that have used algo trading say that they cannot use any other method unless it offers better incentives than algo trading.
Algorithmic trading has taken precedence over other forms of trading and has been accepted by many countries, including the United States, the United Kingdom, and South Korea. The main features that make this trading method adopted by these countries are the liquidity and exceptional speed of trading that the method brings to the table.
This trading method is expected to be adopted more during the forecast period between 2018 and 2026. This is true due to the increased adoption in the use of cloud computing.
You might wonder why traders opt for cloud computing, yet it is known to be capital intensive. Well, traders can now utilize the computing technology to build their own data centers so that they can store their data, back it up and recover it. Cloud computing also allows traders to manage data in real time and network with other traders. It is also easier to rent space in the cloud as compared to developing a software infrastructure.
Statistics show that the cloud computing market is expected to grow to $US 191 billion by 2020, up from $58 billion in 2013. The increased adoption of cloud computing is attributed mostly to Algorithmic trading.
This type of trading offers numerous advantages besides the typical ability to come up with a strategy in advance. For one, you dont have to be emotionally involved with the trade at all, a fact that has been known to be the primary source of burnout for many talented traders. You end up saving a lot of manpower in the process as well.
Where Can Algo Trading Be Utilized?
Mid to long term investors who deal in mutual funds, pension funds, and insurance can use algo trading systems to purchase stocks in considerable quantities to influence stock prices with significant volume investments. Trading via Algorithmic platforms needs the investors to first specify the trading goals in the form of mathematical instructions that can be simple or highly sophisticated. After defining the instructions, the computers go ahead to implement these trades using the underlying commands.
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