Algorithm Trading 101: Trading made simple for everyone (Trading Series: How to trade like a professional) - Softcover

Chan Phooi M'ng PhD, Dr. Jacinta

Softcover

ISBN 13: 9798704070009

Publisher: Independently published, 2021

Synopsis

Unlock the secrets to consistent profits in today's rapidly changing financial markets with Algorithm Trading 101. Say goodbye to average returns and hello to a proven statistical trading edge that will have you trading like a pro and reaping exceptional profits.

- Benefit: Gain a proven statistical trading edge to generate net abnormal returns in the long run.
- Emotional Benefit: Say goodbye to average returns and hello to exceptional profits.
- Life-changing: This book will level the playing field with institutional traders and teach you how to profit just like the pros.
- Learn how to build your own algorithmic technical trading model for deciphering market patterns and detecting trends.
- Discover the concept and principles used by professionals in financial institutions.
- Gain the knowledge and skills to compete with institutional traders and achieve exceptional profits.

Don't miss out on this opportunity to transform your trading game. Buy now before the price changes!


Endorsement for the book
"Creating an algorithmic trading system should be every trader's goal. Yet, developing a trading system can be overwhelming since it involves several moving parts. Another challenge is that today's markets require an algorithm that adapts to different market conditions. In "Algorithmic Trading 101" Jacinta Chan sets you up by starting with the basics and walking you through the process, step-by-step. She touches on all aspects of a trading system. After going through the entire process detailed in the book, the trader will be ready to develop a customized trading system that follows the principles of professional traders." Jayanthi Gopalakrishnan, Director, Site Content StockCharts.com

Edition details

• Publisher: Independently published
• Publication date: 2021
• Language: English
• ISBN 13: 9798704070009
• Binding: Paperback
• Number of pages: 218