Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market

Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market by Bob Mather Audiobook
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Product Info

Sounded ID: 9781662126314

ISBN: 9781662126314

Publication Date: July 08, 2020

Publisher: Author's Republic

Language: English

Author Name: Bob Mather

Narrator Name: Cliff Weldon

Studio Narrated Audiobook 1 hrs 43 mins | ANTIQUES and COLLECTIBLES | Subjects and Themes | Canadiana

Machine Learning in Finance: Use Machine Learning Techniques for Day Trading and Value Trading in the Stock Market

Author
Bob Mather
Publisher
Author's Republic
Narrator
Cliff Weldon

Studio Narrated Audiobook

This audiobook is a traditionally narrated work produced in a studio with a live voice actor and contains no content generated using Voice Replica technologies or synthetic narration.

Are you a machine-learning enthusiast looking for a practical day-to-day application? Or are you just trying to incorporate machine-learning software in your trading decisions?
This audiobook is your answer.
While machine learning and finance have generally been seen as separate entities, this audiobook looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day-trading scenario or to determine the long-term value of a stock, financial ratios and common sense have always been used as reliable indicators.

Are you a machine-learning enthusiast looking for a practical day-to-day application? Or are you just trying to incorporate machine-learning software in your trading decisions?
This audiobook is your answer.
While machine learning and finance have generally been seen as separate entities, this audiobook looks at several applications of machine learning in the financial world. Whether it is predicting the best time to buy a stock in a day-trading scenario or to determine the long-term value of a stock, financial ratios and common sense have always been used as reliable indicators.
But how do these compare about advanced machine-learning algorithms like clustering and regression? When would be the best time to use these?
What's included in this audiobook:
What financial machine learning is
Developing a trading strategy for stocks
Machine learning to determine current value of stocks
Optimal time to buy stocks
Machine-learning algorithm to predict when to sell a stock
Determine value of a penny stock
Trading automation software
Conclusion
Scroll up and download now!

Chapters

# Title Duration
1. Open(1)

0 mins 13 secs

2. 1 Chapter 1 01

9 mins 53 secs

3. 2 Chapter 2 01

27 mins 08 secs

4. 3 chapter 3 01

19 mins 04 secs

5. 4 chapter 4 01

7 mins 46 secs

6. 5 chapter 5 F

6 mins 37 secs

7. 6 Chapter 6 01

24 mins 50 secs

8. 7 Conclusion 01

3 mins 03 secs

9. close

0 mins 19 secs

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