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Deep Learning for Finance|Sofien Kaabar

Deep Learning for Finance : Creating Machine & Deep Learning Models for Trading in Python

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Overview

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

Details

  • ISBN-13: 9781098148393
  • ISBN-10: 1098148398
  • Publisher: O'Reilly Media
  • Publish Date: February 2024
  • Dimensions: 9.19 x 7 x 0.75 inches
  • Shipping Weight: 1.27 pounds
  • Page Count: 359

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