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Algo Trading Cheat Codes: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems

Algo Trading Cheat Codes: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems

          
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About the Book

Algo trading and strategy development is hard, no question.

But does it have to be so hard?

The answer is "NO!" -

If you follow the right approach and get the right advice. Enter Champion Algo Trader, the author, and his book "Algo Trading Cheat Codes."

In this groundbreaking book, the author reveals the results of his research over millions of strategies backrests. He provides 57 "cheat codes" - tips to build algo strategies faster and more confidently.

Some of the questions answered in this book: Is algo trading getting harder, and if so, what specific things can you do to make it easier? As many people claim, is there an optimum reward-to-risk ratio for trade management?


What bar size is the most amenable to creating algo strategies? Is exiting after a certain number of profitable or unprofitable closes a viable option for algo strategies? What means reversion techniques work best? Can you incorporate macro trends (bull, bear, flat) into your trading strategy?


What exit is the best? How can your algos protect you during times of market uncertainty? You can go it alone or take advantage of the cutting-edge research by one of the world's premier retail algo traders. These "cheat codes" can easily save you significant time and money!


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Product Details
  • ISBN-13: 9781806313853
  • Publisher: Sienna Roberts
  • Publisher Imprint: Sienna Roberts
  • Height: 229 mm
  • No of Pages: 262
  • Spine Width: 14 mm
  • Weight: 358 gr
  • ISBN-10: 1806313855
  • Publisher Date: 08 Apr 2023
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems
  • Width: 152 mm


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Algo Trading Cheat Codes: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems
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