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Deep Learning for Finance - by  Sofien Kaabar (Paperback) - 1 of 1

Deep Learning for Finance - by Sofien Kaabar (Paperback)

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About this item

Highlights

  • Deep learning is rapidly gaining momentum in the world of finance and trading.
  • Author(s): Sofien Kaabar
  • 359 Pages
  • Computers + Internet,

Description



Book Synopsis



Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Sofien Kaabar--financial author, trading consultant, and institutional market strategist--introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.

  • Understand and create machine learning and deep learning models
  • Explore the details behind reinforcement learning and see how it's used in time series
  • Understand how to interpret performance evaluation metrics
  • Examine technical analysis and learn how it works in financial markets
  • Create technical indicators in Python and combine them with ML models for optimization
  • Evaluate the models' profitability and predictability to understand their limitations and potential
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x .75 Inches (D)
Weight: 1.27 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 359
Genre: Computers + Internet
Publisher: O'Reilly Media
Format: Paperback
Author: Sofien Kaabar
Language: English
Street Date: February 13, 2024
TCIN: 90099365
UPC: 9781098148393
Item Number (DPCI): 247-26-1298
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.75 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.27 pounds
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Q: What is the main focus of the book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book focuses on developing deep learning trading models using Python and backtesting trading algorithms.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What programming language is emphasized for creating trading models?

submitted by AI Shopping Assistant - 2 months ago
  • A: Python is the primary programming language emphasized for developing trading models in this book.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - 2 months ago
  • A: The author is Sofien Kaabar, a financial author and trading consultant.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: Does the book include practical exercises for learners?

submitted by AI Shopping Assistant - 2 months ago
  • A: Yes, it provides hands-on guidance for creating and backtesting trading models.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

Q: What topics are covered in relation to technical analysis?

submitted by AI Shopping Assistant - 2 months ago
  • A: The book covers evaluating machine learning algorithms, creating technical indicators, and their optimization.

    submitted byAI Shopping Assistant - 2 months ago
    Ai generated

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