Algorithmic Trading: Tricks to Learn and Win With Algorithmic Trading (The Completely New Guide to Machine Learning for Algorithmic Trading) - Tapa blanda

Davis, Tracey

 
9781774857335: Algorithmic Trading: Tricks to Learn and Win With Algorithmic Trading (The Completely New Guide to Machine Learning for Algorithmic Trading)
Tapa blanda
ISBN 10: 1774857332 ISBN 13: 9781774857335
Editorial: Oliver Leish, 2022

Sinopsis

Most traders are now keen on algorithmic trading and are shifting their focus from regular trading methods to this new method. This trading mechanism is faster, cheaper, and easier to control when compared to standard trading. You can add factors into the trading algorithm based on how you believe the market will function. You can execute complex mathematical equations in no time and make the right decision with respect to the order you place on a stock.

 

In algorithmic trading here is just a fraction of what you will discover:

  • A simple and detailed explanation of how algorithmic trading works
  • The exact steps you need to take in developing and executing a trading algorithm
  • Where to get a consistent stream of trading ideas, and why you won’t use most of them
  • How you can do algorithmic trading without having to learn to code
  • Why you should do this step first before going live, even if you want to start executing your trade right away


This is the purpose of our new series of publications to go deeper into the theory and at the same time deeper into the practice. In each volume, we will develop both aspects and show how to extract ideas for trading strategies, from simple mathematics of market theory. Then, we will construct precise and comprehensive strategies from these generic ideas. Volume 5 is about pair trading

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
Oliver Leish
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1774857332
ISBN 13 
9781774857335
Encuadernación
Tapa blanda
Número de páginas
192
Contacto del fabricante
no disponible
Persona responsable
no disponible