Applications of computational intelligence in data-driven trading

✍ Scribed by Doloc, Cris

Publisher: Wiley
Year: 2020
Tongue: English
Leaves: 302
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

"The objective of this book is to introduce the reader to the field of Computational Finance using the framework of Machine Learning as a tool of scientific inquiry. It is an attempt to integrate these two topics: how to use Machine Learning as the tool of choice in solving topical problems in Computational Finance. Readers will learn modern methods used by financial engineers and quantitative analysts to access, Read more...

✦ Table of Contents

The evolution of trading paradigms --
The role of data in trading and investing --
Artificial intelligence : between myth and reality --
Computational intelligence : a principled approach for the era of data exploration --
How to apply the principles of CI in quantitative finance --
Case study 1 : optimizing trade execution --
Case study 2 : the dynamics of the limit order book --
Case study 3 : applying ML to portfolio management --
Case study 4 : applying ML to market making --
Case study 5 : applications of ml to derivatives valuation --
Case study 6 : using ML for risk management and compliance --
Conclusions and future directions.

✦ Subjects

Financial engineering -- Case studies;Computational intelligence -- Case studies;Machine learning -- Case studies

📜 SIMILAR VOLUMES

Applications of Computational Intelligen

📁 Applications of Computational Intelligence in Data-Driven Trading

✍ Cris Doloc 📂 Library 📅 2020 🏛 Wiley 🌐 English

"Life on earth is filled with many mysteries, but perhaps the most challenging of these is the nature of Intelligence." - Prof. Terrence J. Sejnowski, Computational Neurobiologist The main objective of this book is to create awareness about both the promises and the form

Applications of computational intelligen

📁 Applications of computational intelligence in data-driven trading

✍ Doloc, Cris 📂 Library 📅 2020 🏛 Wiley 🌐 English

Advances in Applications of Data-Driven

📁 Advances in Applications of Data-Driven Computing (Advances in Intelligent Systems and Computing)

✍ Jagdish Chand Bansal (editor), Lance C. C. Fung (editor), Milan Simic (editor), 📂 Library 📅 2021 🏛 Springer 🌐 English

This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today’s software industry. The sensors data from hardware-bas

Computational and Data-Driven Chemistry

📁 Computational and Data-Driven Chemistry Using Artificial Intelligence: Fundamentals, Methods and Applications

✍ Takashiro Akitsu 📂 Library 📅 2021 🏛 Elsevier 🌐 English

Computational and Data-Driven Chemistry Using Artificial Intelligence: Volume 1: Fundamentals, Methods and Applications highlights fundamental knowledge and current developments in the field, giving readers insight into how these tools can be harnessed to enhance their own work. Offe

Data-Driven Intelligence in Wireless Net

📁 Data-Driven Intelligence in Wireless Networks: Concepts, Solutions, and Applications

✍ Muhammad Khalil Afzal, Muhammad Ateeq, Sung Won Kim 📂 Library 📅 2023 🏛 CRC Press 🌐 English

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep lear

Applications of Computational Intelligen

📁 Applications of Computational Intelligence Techniques in Communications

✍ Mridul Gupta, Pawan Kumar Verma, Rajesh Verma 📂 Library 📅 2023 🏛 CRC Press 🌐 English

The book titled "Applications of Computational Intelligence Techniques in Communications" is a one-stop platform for the researchers, academicians, and people from industry to get a thorough understanding of the latest research in the field of communication engineering. Over the past decade, a manyf