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

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

$21.55
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Algorithmic Trading: Tricks to Learn and Win With Algorithmic Trading (The Completely New Guide to Machine Learning for Algorithmic Trading) - Paperback

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

$21.55

by Tracey Davis (Author)

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

Number of Pages: 192
Dimensions: 0.41 x 8 x 5 IN
Publication Date: July 30, 2022

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