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Machine Learning for Algorithmic Trading: Master as a PRO applied artificial intelligence and Python for predict systematic strategies for options and stocks. Learn data-driven finance using

Machine Learning for Algorithmic Trading: Master as a PRO applied artificial intelligence and Python for predict systematic strategies for options and stocks. Learn data-driven finance using

          
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About the Book

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"Your Client Will Appreciate This fabulous guide with unique contents"


Master the best methods for PYTHON. Learn how to programming as a pro and get positive ROI in 7 days with data science and machine learning


Are you looking for a super-fast computer programming course?

Would you like to learn the Python Programming Language in 7 days?

Do you want to increase your trading thanks to the artificial intelligence?


If so, keep reading: this bundle book is for you!

Today, thanks to computer programming and PYTHON we can work with sophisticated machines that can study human behavior and identify underlying human behavioral patterns. Scientists can predict effectively what products and services consumers are interested in. You can also create various quantitative and algorithmic trading strategies using Python.

It is getting increasingly challenging for traditional businesses to retain their customers without adopting one or more of the cutting-edge technology explained in this book.

MACHINE LEARNING FOR ALGORITHM TRADING will introduce you many selected tips and breaking down the basics of coding applied to finance. You will discover as a beginner the world of data science, machine learning and artificial intelligence with step-by-step guides that will guide you during the code-writing learning process.

The following list is just a tiny fraction of what you will learn in this bundle


PYTHON FOR BEGINNERS

✅ Differences among programming languages: Vba, SQL, R, Python

✅ 3 reasons why Python is fundamental for Data Science

✅ Introduction to some Python libraries like NumPy, Pandas, Matplotlib,

✅ 3 step system why Python is fundamental for Data Science

✅Describe the steps required to develop and test an ML-driven trading strategy.


PYTHON DATA SCIENCE

✅ A Proven Method to Write your First Program in 7 Days

✅ 3 Common Mistakes to Avoid when You Start Coding

✅ Fit Python Data Analysis to your business

✅ 7 Most effective Machine Learning Algorithms

✅ Describe the methods used to optimize an ML-driven trading strategy.


OPTIONS TRADING FOR BEGINNERS

✅ Options Trading Strategies that guarantee real results in all market conditions

✅ Top 7 endorsed indicators of a successful investment

✅ The Bull & Bear Game

✅ Learn about the 3 best charts patterns to fluctuations of stock prices


DAY AND SWING TRADING

✅ How Swing trading differs from Day trading in terms of risk-aversion

✅ How your money should be invested and which trade is more profitable

✅ Swing and Day trading proven indicators to learn investment timing

✅ The secret DAY trading strategies leading to a gain of $ 9,000 per month and more than $100,000 per year.


Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding.

Today is the best day to start programming like a pro.

For those trading with leverage, looking for a way to take a controlled approach and manage risk, a properly designed trading system is the answer

If you really wish to learn MACHINE LEARNING FOR ALGORITHMIC TRADING and master its language, please click the BUY NOW button.


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Product Details
  • ISBN-13: 9789918608010
  • Publisher: Libero Fabio Dachille
  • Publisher Imprint: Libero Fabio Dachille
  • Height: 229 mm
  • No of Pages: 424
  • Spine Width: 22 mm
  • Width: 152 mm
  • ISBN-10: 9918608013
  • Publisher Date: 20 Nov 2020
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Weight: 566 gr


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Machine Learning for Algorithmic Trading: Master as a PRO applied artificial intelligence and Python for predict systematic strategies for options and stocks. Learn data-driven finance using
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